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The ENERGY STAR Portfolio Manager Data Explorer houses energy data for over 150,000 U.S. commercial, multifamily, and single-family properties. The Data Explorer allows users to query this data and explore energy metrics such as Energy Use Intensity (EUI), ENERGY STAR Score, and Percent Electricity across a wide range of property types and characteristics. A variety of filters and metric display options provide customizable results. The tool is available at https://portfoliomanager.energystar.gov/dataExplorer.
This 19-page technical reference document will help you test exchanging data with EPA’s Portfolio Manager via web services. There are 3 parts to the testing:
Part A: Create an Account
Part B: Creating Customer Accounts, Properties, and Meters
This 7-page document outlines the eligibility criteria for ENERGY STAR® NextGen™ certification for existing U.S. commercial and multifamily buildings, available starting in fall 2024.
This document presents details on the development of the 1 – 100 ENERGY STAR Score for vehicle dealerships, which applies to buildings used for the sale of new or used light-, medium- and heavy-duty cars and trucks. The objective of the ENERGY STAR score is to provide a fair assessment of the energy performance of a property relative to its peers, considering the climate, weather, and business activities at the property.
If you benchmark your water use in Portfolio Manager, one of the key metrics you’ll see is water use intensity, or WUI. Essentially, the WUI expresses a building’s water use as a function of its size or other characteristics.
For most property types in Portfolio Manager, the WUI is expressed as gallons per square foot per year. It’s calculated by dividing the total water consumed by the building in one year by the total gross floor area of the building.
The 1 – 100 ENERGY STAR score for Single-Family Homes applies to single-family detached and attached homes. The objective of the ENERGY STAR score is to provide a fair assessment of the energy performance of a property relative to its peers, taking into account the climate, weather, and activities at the property. To identify the aspects of building activity that are significant drivers of energy use and then normalize for those factors, a statistical analysis of the peer building population is performed.