The Buildings Performance Database (BPD) unlocks the power of building energy performance data. The platform is the largest national dataset of real building performance data, and enables users to perform statistical analysis on an anonymous dataset of hundreds of thousands of commercial and residential buildings from across the country. One of the most powerful applications of the tool is custom peer group analysis, in which users can examine specific building types and geographic areas, compare performance trends among similar buildings, identify and prioritize cost-saving energy efficiency improvements, and assess the range of likely savings from these improvements.
- The BPD contains actual data on hundreds of thousands of existing buildings -- not modeled data or anecdotal evidence.
- The BPD enables statistical analysis without revealing information about individual buildings.
- The BPD cleanses and validates data from many sources and translates it into a standard format.
- Peer Group Tool. Allows users to peruse the BPD and create peer groups based on specific building types, locations, sizes, ages, equipment and operational characteristics. Users can compare the energy use of their own building to a peer group of BPD buildings via three different analysis views:
- Bar Chart. The bar chart shows the number of buildings in the peer group that fall within consistent intervals of energy use intensity (EUI) i.e. the annual energy use per gross square foot of the building.
- Scatter Plot. The scatter plot allows users to compare the EUI against various building characteristics. A more linear trend means that the building characteristic is more correlated with EUI, while a wider scatter means weaker correlation
- Table. The table allows users to generate and export characteristics of the peer group categorized by state or facility type. The table shows the building count, median EUI (kBtu/ft2), median floor area, median year built, and median hours occupied.
- Performance Comparison Tool. Allows users to estimate the change in energy consumption for a user-selected peer group caused by changing the technology used for a particular building system (e.g., heating or cooling equipment). Based on user inputs, the tool computes the difference in energy use between the subset of buildings within the peer group that utilize one technology versus another, by conducting a one-to-one comparison between each of the buildings in the two subsets. The result is a distribution showing the probability of achieving different levels of energy savings, presented as a percent reduction in total energy use.
- Application Programming Interface (API). Allows external software to request machine-formatted results of BPD data analysis.
Features Under Development
- Weather Normalization Toggle. Uses a statistical model to compute the energy use impact of outdoor air temperature for each building, and predicts energy use given a standard set of temperature conditions. By applying the same temperatures to every building, we can remove the energy use impacts of seasonally or geographically specific weather conditions, such as an unusually hot summer. This will allow a fairer comparison of buildings with energy data collected in different years, or of buildings located in different climates. Weather normalization will be offered as a toggle so users can opt to view or analyze either weather normalized or raw energy data.
The value of the BPD depends upon the amount and quality of data it contains. Basic building information and monthly energy consumption data can be used to compare similar buildings and identify high and low performers. Richer data, such as equipment information and interval meter data, will enable statistical analysis of potential retrofit measures and other advanced analysis. If you are interested in contributing data, please contact us.
Buiildings Performance Database Updates
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