Want to improve energy efficiency finance? Add data

The Environmental Defense Fund’s Investor Confidence Project and the Clean Energy Finance Center (CEFC), along with state and local lending programs, financial organizations and others, are collecting and analyzing data about loan performance and energy savings from efficiency upgrades in residential and commercial buildings.

The Energy and Loan Performance Data Project represents the first concerted effort to combine data from some of the largest U.S. energy efficiency programs to develop an actuarially significant dataset to help engage the capital markets.

Nearly 40 percent of U.S. energy is consumed by both residential and commercial buildings. All available cost-effective energy efficiency savings would require roughly $279 billion of investment (PDF), resulting in more than $1 trillion in energy savings over 10 years. However, currently only 1 percent of all U.S. investments are made in energy efficiency projects. Our goal for this project is to help lay the foundation that will enable organizations to tap into this vast potential market.

Currently, energy efficiency investors of all types, including building owners, energy service companies, insurance providers and even utilities, are hampered by an inability to easily and accurately predict loan performance. This results in high transaction costs, as well as risk premiums, that increase the cost of capital. One of the main challenges is the small quantity and low quality of data that investors can use when evaluating investments in energy efficiency assets. This lack of data standards and access to large datasets has been cited by a broad range of stakeholders, including capital providers, policy makers, building owners and contractors, as impeding large-scale investment in building retrofits.

In collaboration with the University of Chicago's new Data Science for Social Good fellowship program, EDF and CEFC will identify how stakeholders use loan and project performance data, determine gaps in the current datasets and deliver high-quality analytics to support the advancement of energy efficiency finance and investment through actuarial data.

Many key stakeholders in energy efficiency support this project, including the New York State Energy Research and Development Authority and Citigroup. "Making our program loan performance history publicly available and aggregated with history from other programs will lower the cost of capital for these programs and allow more favorable financing terms to be offered to participating consumers,” said NYSERDA’s treasurer, Jeff Pitken.

Pam Flaherty, president and CEO of the Citi Foundation, which supports EDF's Investor Confidence Project, along with participants such as CNT Energy, said that “payment performance data is key to helping connect energy efficiency finance with capital markets activity in order to bring retrofit activity to scale and provide greater evidence to reach a wider variety of property asset classes."

The project also seeks to provide the ability to analyze performance risks. This will allow investors to realize more predictable returns, which will lead to more lending at better rates. Performance prediction is especially important for innovative energy financing models, such as on-bill repayment and energy service agreements, and better analysis will enable the widespread adoption of these structures. From an operations perspective, better data analysis offers the ability to continuously improve project commissioning -- thus leading to increased energy savings.

The Energy and Loan Performance Data Project will collect data sets from some of the largest residential and commercial programs across the country. We will combine these sources with public sources, such as census data, to provide publicly available data that we hope will accelerate investments in energy efficiency. Data will be anonymized and modified to protect privacy, but will include the following elements:

• Loan repayment performance

• Underwriting criteria and deal structure

• Project attributes, energy conservation measures and predicted performance

• Energy performance data (realization rate)

We invite energy efficiency and finance organizations with data and/or data expertise to participate in this endeavor (especially those who can contribute significant amounts of data). The project will adhere to rigorous privacy standards to ensure that no proprietary information will be disclosed to the public. If you have a use for this type of data and analytics or have data to contribute, please complete this survey. To learn more, read about moving energy efficiency finance beyond theory to practice

Editor's note: To learn more about energy efficiency and the convergence of sustainability and technology, be sure to check out VERGE SF Oct. 14-17.

This article reprinted with permission from the Energy Exchange blog at the Environmental Defense Fund site.

Buildings image by Joe Mazzola via Flickr