Short Answer: Energy Information Administration (EIA, part of the US Department of Energy) RECS surveys provide energy-related information for a national sample of residential households. Occupant, dwelling unit, appliance, and energy use data are provided for each household in the sample.
The 2020 RECS survey includes more than 18,000 households
and for the first time includes a state identifier enabling state-level
analysis. The final EIA dataset was published in June 2023. Individual
RECS household whole-building 8,760 hourly loads and emissions have
been developed and are now available.
MAISY RECS Databases are an extension of the original EIA RECS databases that
Add three new important data categories
8,760 kW whole building hourly loads for each household
8,760 kW hourly loads for 7 end-use categories for each household including space heat, AC, water heating, refrigerator/freezers, appliances
(clothes dryer + oven+ dishwasher + clothes washer + microwave), lighting+TV and all other end uses
Total household emissions and emissions for each energy type
Include 96 of the most used RECS data items
Add weather adjusted heating, air conditioning and ventilation energy use to reflect 30-year averages
Improve customer experience by providing mnemonics rather than integer coded responses (e.g., elec instead of 5) and
Longer Answer: Household 8,760 Hourly Load Extensions.
This hourly load data extension uniquely provides new analysis capabilities by connecting
household income, demographics, structure, and appliance characteristics to 8,760 whole
building and end-use hourly kW loads. These insights are important for:
These new insights inform decisions related to solar, battery storage, smart grid technologies
and programs, load control technologies, utility incentive programs, utility service area,
substation and circuit peak demand forecasts and other applications that incorporate
household hourly loads and peak kW characteristics.
Manufacturer/retailer product development, market potential analysis, target marketing
Retail electricity provider market potential, profitability and target marketing
Smart grid technology design and analysis
Utility demand response and smart grid program design and analysis
Micro-grid product development and analysis
Utility service area energy demand and peak kW forecasting
Utility substation and transformer energy peak kW forecasting based on dwelling unit cohort characteristics
State public service commission regulatory analysis of utility programs
Populating agent-based microsimulation models to support forecasting and policy analysis
Longer Answer: Household GHG (Greenhouse Gas) Emissions Extensions.
The addition of household emissions provides a new fertile ground for analysis and
policy program evaluations. GHG emissions associated with each household energy source
provide emissions insights not
previously available in RECS surveys. MAISY RECS household emissions
estimates are based household energy use by fuel type and EPA ZIP and state emissions data.
Emissions analysis applications include:
Jackson Associates also provides consulting support for
these analyses applications.
Assessment of emissions impacts associated with state and federal appliance fossil fuel restrictions
Forecasts of future emissions based on growth rates of household cohorts
Estimation of Scope 3 (downstream) emissions for corporate and government organizations including financed emissions for mortgage providers.
Populating agent-based-microsimulation models to support emissions policy analysis.