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Grid Service Values of Generic Marginal Building Flexibility in Modeled 2030 U.S. Power Systems

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The datasets include the capacity, energy, and ancillary service values of a marginal kilowatt-hour (kWh) of generic, daily, shiftable building flexibility as a presumed market entrant in the 2030 U.S. power systems. The results should be interpreted along with the caveats listed in "Valuation of Building Flexibility: Grid Service Value for Initial Market Entrants in Projected 2030 United States Power Systems", which also documents the methods used for the study.
The factors examined in the study include: grid scenario, region, original usage hour in the day (local time), and building flexibility parameters - efficiency, dissipation, and shifting window include max pre-shift and max post-shift.

Filenames in the datasets:
The filenames contain information on the grid scenario, and the building flexibility efficiency and dissipation. For example: MidCase_2030_efficiency1.25_dissipation0.05_value.csv contains all results under Mid RE 2020, efficiency = 1.25, and dissipation = 0.05.
* MidCase = Mid RE

Each .csv file contains:
region: The location of the building flexibility, aligned with U.S. Energy Information Administration (EIA) National Energy Modeling System (NEMS) Electricity Market Module regions.
max_pre_shift: Part of building flexibility shifting window parameter, indicates the max number of hours the building flexibility can shift earlier.
max_post_shift: Part of building flexibility shifting window parameter, indicates the max number of hours the building flexibility can shift later.
local_datetime: Original datetime of 1kWh of building energy consumption.
local_orig_h: Original usage hour (1-24) of building energy consumption, ignores daylight saving.
local_shift_to: The datetime to when building energy consumption shifts, if shifting happens. If no shifting occurs, this cell is left blank.
energy: Net energy value of energy shifting.
capacity: Net capacity value of energy shifting.
shifting_value: Net energy plus capacity value of energy shifting.
spin: Spin reserve value at the original datetime of consumption.
flex: Flexible reserve value at the original datetime of consumption.
reg: Regulation reserve value at the original datetime of consumption.
total_profit: Assuming the building flexibility is capable of providing energy, capacity, and ancillary services, total profit is the maximum value of energy shifting value, spin reserve value, flexible reserve value, and regulation reserve value - one of the four choices at any given hour - because we do not allow its value to be double-counted.

Citation Formats

Strategic Energy Analysis Center. (2021). Grid Service Values of Generic Marginal Building Flexibility in Modeled 2030 U.S. Power Systems [data set]. Retrieved from f5c4821f-3ff7-430c-b690-e301a687db0a.
Export Citation to RIS
Zhou, , Hale, , and Present, . Grid Service Values of Generic Marginal Building Flexibility in Modeled 2030 U.S. Power Systems. United States: N.p., 12 Jan, 2021. Web. f5c4821f-3ff7-430c-b690-e301a687db0a.
Zhou, , Hale, , & Present, . Grid Service Values of Generic Marginal Building Flexibility in Modeled 2030 U.S. Power Systems. United States. f5c4821f-3ff7-430c-b690-e301a687db0a
Zhou, , Hale, , and Present, . 2021. "Grid Service Values of Generic Marginal Building Flexibility in Modeled 2030 U.S. Power Systems". United States. f5c4821f-3ff7-430c-b690-e301a687db0a.
@div{oedi_6359, title = {Grid Service Values of Generic Marginal Building Flexibility in Modeled 2030 U.S. Power Systems}, author = {Zhou, , Hale, , and Present, .}, abstractNote = {The datasets include the capacity, energy, and ancillary service values of a marginal kilowatt-hour (kWh) of generic, daily, shiftable building flexibility as a presumed market entrant in the 2030 U.S. power systems. The results should be interpreted along with the caveats listed in "Valuation of Building Flexibility: Grid Service Value for Initial Market Entrants in Projected 2030 United States Power Systems", which also documents the methods used for the study.
The factors examined in the study include: grid scenario, region, original usage hour in the day (local time), and building flexibility parameters - efficiency, dissipation, and shifting window include max pre-shift and max post-shift.

Filenames in the datasets:
The filenames contain information on the grid scenario, and the building flexibility efficiency and dissipation. For example: MidCase_2030_efficiency1.25_dissipation0.05_value.csv contains all results under Mid RE 2020, efficiency = 1.25, and dissipation = 0.05.
* MidCase = Mid RE

Each .csv file contains:
region: The location of the building flexibility, aligned with U.S. Energy Information Administration (EIA) National Energy Modeling System (NEMS) Electricity Market Module regions.
max_pre_shift: Part of building flexibility shifting window parameter, indicates the max number of hours the building flexibility can shift earlier.
max_post_shift: Part of building flexibility shifting window parameter, indicates the max number of hours the building flexibility can shift later.
local_datetime: Original datetime of 1kWh of building energy consumption.
local_orig_h: Original usage hour (1-24) of building energy consumption, ignores daylight saving.
local_shift_to: The datetime to when building energy consumption shifts, if shifting happens. If no shifting occurs, this cell is left blank.
energy: Net energy value of energy shifting.
capacity: Net capacity value of energy shifting.
shifting_value: Net energy plus capacity value of energy shifting.
spin: Spin reserve value at the original datetime of consumption.
flex: Flexible reserve value at the original datetime of consumption.
reg: Regulation reserve value at the original datetime of consumption.
total_profit: Assuming the building flexibility is capable of providing energy, capacity, and ancillary services, total profit is the maximum value of energy shifting value, spin reserve value, flexible reserve value, and regulation reserve value - one of the four choices at any given hour - because we do not allow its value to be double-counted.}, doi = {}, url = {f5c4821f-3ff7-430c-b690-e301a687db0a}, journal = {}, number = , volume = , place = {United States}, year = {2021}, month = {01}}

Details

Data from Jan 12, 2021

Last updated Dec 18, 2024

Submitted Jan 12, 2021

Organization

Strategic Energy Analysis Center

Contact

Shengru Zhou

Authors

Zhou

National Renewable Energy Laboratory

Hale

National Renewable Energy Laboratory

Present

National Renewable Energy Laboratory

DOE Project Details

Project Name SPIA - Flexible Loads

Project Number WBS 3.2.7.79

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