LoadSim is used to construct highly-resolved (sub-hourly) estimates of residential demand based on assumptions around customer behavior. LoadSim employs a bottom-up modeling approach in which the characteristics of the home, its individual end-uses (appliances, lighting, etc.), and the behavior of its occupants are evaluated in tandem. Occupant behavior is modeled using data from the American Time Use Survey (ATUS) to create a statistically consistent representation of how customers interact with major residential end-uses. ATUS data is used to construct Markov chains for a variety of occupant types and defined activity categories, which are simulated using the Monte Carlo method of repeated random sampling. To estimate energy consumption, LoadSim utilizes detailed physics-based characterizations of major residential end-uses and their interactions with customers and external environmental conditions. Applications of this modeling framework include load shape estimation, distribution/secondary system design, and demand flexibility evaluation.
LoadSim is supported by EPRI’s Electrification and Sustainable Energy Strategy sector and by EPRI’s Energy Systems and Climate Analysis group.
Contact
Brandon Johnson bjjohnson@epri.com
EPRI Reports
| Product ID | Name | Published | Type |
|---|---|---|---|
| 3002018707 | Residential Behavior Based End-Use Modeling: 2020 Technology Innovation Project | Dec 31st, 2020 | White Paper |
| 3002030047 | Program on Technology Innovation: Modeling Residential Demand with LoadSim | Dec 19th, 2024 | White Paper |