The ResStock analysis tool is helping states, municipalities, utilities, and manufacturers identify which home improvements save the most energy and money. With support from the U.S. Department of Energy (DOE), researchers at NREL developed ResStock. It's a versatile tool that takes a new approach to large-scale residential energy analysis by combining:
- Large public and private data sources
- Statistical sampling
- Detailed sub hourly building simulations
- High-performance computing.
This combination achieves unprecedented granularity and most importantly—accuracy—in modelling the diversity of the single-family housing stock.
With NREL supercomputing, the ResStock team has run more than 20 million simulations using a statistical model of housing stock characteristics. With this data, researchers have uncovered $49 billion in potential annual utility bill savings through cost-effective energy efficiency improvements.
The ResStock software is offered at no cost, leveraging open-source building energy modeling ecosystem of OpenStudio and EnergyPlus. The ability to run on distributed cloud computing means that a supercomputer isn't required to reap the benefits.