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The Building Performance Database (BPD) is the nation's largest dataset of information about the energy-related characteristics of commercial and residential buildings. The BPD combines, cleanses and anonymizes data collected by Federal, State and local governments, utilities, energy efficiency programs, building owners and private companies, and makes it available to the public. The web site allows users to explore the data across real estate sectors and regions, and compare various physical and operational characteristics to gain a better understanding of market conditions and trends in energy performance.
Real estate professionals are increasingly aware that today’s homebuyers consider heating and cooling costs, efficient appliances, and efficient lighting to be important factors in home purchase decisions. Residential energy efficiency and real estate stakeholders, however, agree that the home resale process frequently fails to account for the value of high-performance home features. If investments in energy efficiency were more accurately reflected in home resale prices, homeowners could have greater confidence that these investments would be recouped at resale, and they might make more investments in efficiency.
The lack of documented value of retrofit measures is a barrier to many homeowners doing upgrades - as most appraisals do not include energy improvements in their comparables, and the home’s future sale can prevent the homeowner from earning a return on their investment via lower energy costs. Once the industry develops a process for valuing the energy improvements, it can unlock the significant potential for retrofit work through market pricing signals (energy efficient homes are worth more) and enhanced access to capital for those purchasing a more efficient home (energy efficient homes improve borrowers’ cashflow because they cost less to operate).
This paper describes existing barriers to integrating energy efficiency data into real estate markets, and illustrates recent efforts to address them. National cross-industry collaborations have resulted in standard data collection and transfer tools that allow home performance data to be shared across industries. Real estate markets in some regions have begun including these data into multiple listing services (MLS), making them visible during real estate transactions.
This study looks at evidence of capitalization of energy efficiency features in home prices using data from real estate multiple listing services (MLS) in three metropolitan areas: the Research Triangle region of North Carolina; Austin, Texas; and Portland, Oregon. These home listings include information on Energy Star certification and, in Portland and Austin, local green certifications. Our results suggest that Energy Star certification increases the sales prices of homes built between 1995 and 2006 but has no statistically significant effect on sales prices for newer homes.