Data is associated with Report "Efficiency and Demand Flexibility in Large Office Buildings" by Joyce McLaren, Thomas Bowen, and Chioke Harris (no Technical Report number yet). Results are created from repos GEB_ECM_Impact_Estimator (https://github.nrel.gov/tbowen/GEB_ECM_Impact_Estimator). Results outline the changes in building load in large office buildings based on measures from NREL's Scout, and the impacts those changes in load have on grid-induced emissions, grid operating costs, and customer bills.
51 Data Resources
| Name | Size | Type | Resource Description | History |
|---|---|---|---|---|
| Description of data in data portal | 28.08 KB | Document | This document provides an overview of the data stored in this portal | |
| Detailed Methodology Document | 849.26 KB | Document | This document details the methodology and tools used to estimate changes to large office building load patterns, customer utility bills, operating costs for utilities and associated grid emissions across a range of efficiency and demand flexibility measures and is supplementary to the report: McLaren, Joyce; Thomas Bowen, Chioke Harris. 2023. Efficiency and Demand Flexibility in Large Office Buildings. National Renewable Energy Laboratory: NREL/TP-7A40-83552. https://www.nrel.gov/docs/fy23osti/83552.pdf. | |
| National Data | 6.4 MB | Archive | National Data shows results across all of the states covered above: • “choropleth_billsavings_<Technology Scenario>.png”: shows choropleth of median annual bill savings induced by a single building investing in the Technology for contiguous 48 states. • “choropleth_singlebuilding_<Technology Scenario>_cambium_<Cambium Variable>.png”: shows choropleth of the impact of Technology for the Cambium Variable (either annual emissions reductions or annual grid operating cost savings) across contiguous 48 states. • “report_annual_bill_savings_with_tariffs_by_state_total_<Technology Scenario>.csv”: contains the minimum, median and maximum bill savings across the states for the Technology. Contains columns for the technology, the state, the min/median/max annual bill savings, the number of tariffs represented in the state, the initial tariff code (from URDB) selected for the building prior to the technology is implemented, the final tariff code (from URDB) selected for the building after the technology is implemented. • “state_median_bill_percentage_reductions_<Technology Scenario>.csv”: contains results for percent reduction in bills and loads caused by Technology in each state. State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Alabama | 3.34 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Arizona | 4.43 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Arkansas | 3.8 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| California | 4.43 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Colorado | 4.47 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Connecticut | 4.49 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Delaware | 4.54 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Florida | 4.34 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Georgia | 4.52 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Idaho | 4.4 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Illinois | 4.47 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Indiana | 4.47 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Iowa | 4.41 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Kansas | 4.36 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Kentucky | 4.27 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Louisiana | 4.27 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Maine | 4.31 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Maryland | 4.36 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Massachusetts | 4.3 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Michigan | 4.24 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Minnesota | 4.29 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Mississippi | 4.29 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Missouri | 4.28 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Montana | 4.27 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Nebraska | 3.1 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Nevada | 3.12 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| New Hampshire | 3.08 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| New Jersey | 3.19 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| New Mexico | 3.05 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| New York | 3.07 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| North Carolina | 4.44 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| North Dakota | 3.16 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Ohio | 3.12 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Oklahoma | 3.02 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Oregon | 3.07 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Pennsylvania | 3.18 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Rhode Island | 4.27 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| South Carolina | 4.41 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| South Dakota | 4.3 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Tennessee | 4.52 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Texas | 4.33 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Utah | 4.5 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Vermont | 4.42 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Virginia | 4.5 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Washington | 4.24 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| West Virginia | 4.49 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Wisconsin | 4.37 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. | |
| Wyoming | 4.49 MB | Archive | State Data is organized by states for the contiguous United States excluding Alaska and Hawaii: • “annual_load_pattern_<EMM Region>_<Technology Scenario>.csv”: contains an 8760 of hourly load for office buildings in the EMM Region under the particular Technology Scenario. EMM Regions spanned and intersected multiple states and states were assigned to the EMM that represented the largest share of the state by area. The technology scenario is either the baseline (without any energy efficiency implemented) or for a particular investment (e.g., “hvac_dr_ee_precool”). Each csv contains the EMM Region name, a timestamp, units of load, hourly load, scenario name, and the measure deployed. (Baseline will also have a measure associated with it, but the load represents no technology investment.) • “cambium_grid_data_<State> _cambium_<Cambium Variable>.csv”: contains 8760 of hourly values from Cambium for the State and the Cambium Variable (e.g., grid costs, emissions). The values are associated with the “StdScen20_MidCase” scenario from Cambium. Each csv contains the State name, the year of focus, a timestamp, the Cambium Variable, and the variable value. • “normalized_load_<Technology Scenario>_<State> _<Season>.png”: image showing the median load pattern for a representative day for a single building in the State for a given Season for a Technology Scenario (before and after the technology is implemented). • “sidebyside_load_cambium_<Technology Scenario>_<State>_cambium_<Cambium Variable>__<Season>.png”: image showing the median change in load induced in a single office building in the State in the Season by the Technology, the median Cambium Variable value for the same state and season. Shaded regions represent the 25th and 75th percentile of the Cambium Variable values and the load reductions. • “state_summaries_<State Abbreviation>.csv”: csv containing high-level results from the analysis for the state. Contains (across technologies and cambium variables) the changes in load for a single building as well as estimates for the entire state (based on # of buildings in the state); the rank in changes in load across all states; the impacts of the changes in load on the grid (for single building and scaled across the state); the rank in induced grid changes; median and max bill savings from the change in load; the rank in the bill savings. |
Keywords
Submitted
• Jan •
13
2023
Grid Planning and Analysis Center
Cite This Dataset
McLaren, Joyce, Thomas Bowen, and Chioke Harris. 2023. "Efficiency and Demand Flexibility in Large Office Buildings." NREL Data Catalog. Golden, CO: National Renewable Energy Laboratory. Last updated: December 12, 2023. DOI: 10.7799/1916473.
About This Dataset
205
10.7799/1916473
Public
12/12/2023
DOE Project
Technical Assistance: Grid-interactive Efficient Buildings
Funding Organization
Department of Energy (DOE)
Sponsoring Organization
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)
Research Areas
Buildings Efficiency
Energy Analysis
Energy Systems Integration
License
View License
Digital Object Identifier
10.7799/1916473