Capturing the Sun: A Roadmap for Navigating Data-Access Challenges and Auto-Populating Solar Home Sales Listings

Technical Report · Thu Apr 13 00:00:00 EDT 2017

DOI:https://doi.org/10.2172/1351316· OSTI ID:1351316

Stukel, Laura ^[1]; Hoen, Ben ^[2]; Adomatis, Sandra ^[3]; Foley, Craig ^[4]; Parsons, Laura ^[5]; James, Mark ^[6]; Mastor, Roxana-Andreea ^[6]; Wedewer, Lindsey ^[7]

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1. Elevate Energy, Chicago, IL (United States)
2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
3. Adomatis Appraisal Services, Punta Gorda, FL (United States)
4. Sustainable Real Estate Consulting Services, Somerville, MA (United States)
5. Center for Sustainable Energy, San Diego, CA (United States)
6. Vermont Law School, South Royalton, VT (United States). Inst. for Energy and Environment
7. Colorado Energy Office, Denver, CO (United States)

Capturing the Sun: A Roadmap for Navigating Data-Access Challenges and Auto-Populating Solar Home Sales Listings supports a vision of solar photovoltaic (PV) advocates and real estate advocates evolving together to make information about solar homes more accessible to home buyers and sellers and to simplify the process when these homes are resold. The Roadmap is based on a concept in the real estate industry known as automatic population of fields. Auto-population (also called auto-pop in the industry) is the technology that allows data aggregated by an outside industry to be matched automatically with home sale listings in a multiple listing service (MLS).

• Research Organization: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 1351316
• Report Number(s): LBNL-1006628; ir:1006628
• Country of Publication: United States
• Language: English

Related Subjects

14 SOLAR ENERGY