National Residential Efficiency Measures Database (REMDB)
This project provides a national unified database of residential building retrofit measures and associated retail prices and end-user might experience. These data are accessible to software programs that evaluate most cost-effective retrofit measures to improve the energy efficiency of residential buildings and are used in the consumer-facing website https://remdb.nrel.gov/
This publicly accessible, centralized database of retrofit measures offers the following benefits:
- Provides information in a standardized format
- Improves the technical consistency and accuracy of the results of software programs
- Enables experts and stakeholders to view the retrofit information and provide comments to improve data quality
- Supports building science R&D
- Enhances transparency
This database provides full price estimates for many different retrofit measures. For each measure, the database provides a range of prices, as the data for a measure can vary widely across regions, houses, and contractors. Climate, construction, home features, local economy, maturity of a market, and geographic location are some of the factors that may affect the actual price of these measures.
This database is not intended to provide specific cost estimates for a specific project. The cost estimates do not include any rebates or tax incentives that may be available for the measures. Rather, it is meant to help determine which measures may be more cost-effective. The National Renewable Energy Laboratory (NREL) makes every effort to ensure accuracy of the data; however, NREL does not assume any legal liability or responsibility for the accuracy or completeness of the information.
Complete Metadata
| bureauCode |
[ "019:20" ] |
|---|---|
| dataQuality | true |
| identifier | https://data.openei.org/submissions/8336 |
| issued | 2023-09-29T06:00:00Z |
| landingPage | https://data.openei.org/submissions/8336 |
| programCode |
[ "019:000", "019:002" ] |
| projectNumber | 15116 |
| projectTitle | Modeling Tools and Analysis Supporting the Residential Market |
| spatial | {"type":"Polygon","coordinates":[[[-125.4514,24.5873],[-66.5318,24.5873],[-66.5318,49.2637],[-125.4514,49.2637],[-125.4514,24.5873]]]} |