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ResStock, built on the OpenStudio platform, is a project geared at modeling the residential building stock for, e.g., national, regional, or local analysis.
ResStock is unique in the high level of granularity used to represent the diversity of housing stock characteristics and climates across the contiguous United States. ResStock brings together the use of large public and private data sets, statistical sampling, detailed sub-hourly building energy simulations, and high-performance computing resources.
This ResStock repository includes project files that are used to run simulations for, e.g., the entire national housing stock and evaluate example efficiency upgrades. Currently the execution of these projects requires command line access.
See the [Getting Started](Getting Started) section for more information on:
- [Setup](Getting Started#setup)
- [Running Simulations](Getting Started#running-simulations)
- [Defining Efficiency Upgrades](Getting Started#defining-efficiency-upgrades)
- [Viewing/Downloading Results](Getting Started#viewingdownloading-results)
The ResStock methodology generally involves the following steps:
- Housing Stock Characterization - Hierarchical structure of conditional probability tables that define more than 100 components of a building, as synthesized from multiple data sources.
- Statistical Sampling - Sampling technique that constructs homes, representative of the residential building stock, from the building components' probability tables.
- Baseline Building Simulations - Detailed sub-hourly annual EnergyPlus building energy simulations run on cloud computing.
- Validation - Comparison of modeled energy to established data sources of residential building consumption.
- Efficiency Upgrade Simulations - Efficiency upgrades, defined for the appropriate subset of the housing stock.
- Technical and Economic Potential Calculations - Calculations of technical potential (i.e., aggregate annual savings in all homes to which an upgrade applies) and economic potential (i.e., aggregate annual savings in the subset of homes that pass a cost-effectiveness threshold).
Please see the Methodology section for more information on these areas.
ResStock currently makes use of OpenStudio Analysis Spreadsheets, which allow large-scale cloud analyses using OpenStudio measures. The project is structured in a flexible manner to allow extension or modification of, e.g., housing characteristics, building models, or output results.
Please see the Developers section for more information.