SBIR/STTR Research Award

Developing Aggregated Datasets to Standardize the Collateral Valuation Process Utilizing an Economic Pricing Model.

Award identifier 7c4e0d56bf088de3f300cfdc0721783e9668fb314f7c1156cead50291ec466e8Awarding agency Department of Energy

Award amount

$1,499,716

Program and phase

SBIR · Phase II

Award year

2015

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
Energy Sense Finance, LLC
Proposal award date
2015-07-27
Contract end date
2017-07-26
UEI
JA1SJLQBMEX4
Solicitation number
DE-FOA-0001258
Topic code
06b

Research abstract

Due to the difficulty in developing credible opinions of value for solar assets, there is a disconnect between traditional mortgage lending which uses established appraisal methodologies and current solar lending efforts which are limited in their ability to utilize those same tried and true appraisal methodologies. This disconnect restricts the amount of capital available for the solar market even if a homeowner is willing and able to borrow the funds for the installation of solar on their home. This is further evidenced in the average cost of capital for the residential PV system marketplace of 12.5%-nominal in 2012 vs. a comparable 1st mortgage rate of 3.66%-nominal. Residential solar PV assets are treated more like personal property for lending purposes instead of collateral for a low risk loan which can then be securitized. This limited access to capital and the higher cost of that capital leads to a slower adoption rate of solar in our local communities. This barrier in developing credible opinions of value can be eliminated through data collection efforts that result in the effective application of an economic pricing model, similar to what the automobile valuation guides have done for the automobile industry in allowing a lender to make a loan before the car is purchased. This will result in a verifiable solar asset value that lenders can confidently use as the collateral value for a loan. By solving the collateral valuation issue, the marketplace can then provide greater access to capital and at a lower cost than is currently available. Developed and launched a solar valuation web application which enables the collection of site specific datasets on solar homes and commercial buildings from professional users Develop and launch a data hub application with site specific datasets and valuation algorithms. This includes mobile applications for tablet devices. We will also develop a solar valuation model for appraisers and other transaction process professionals. Appraisers, Lenders, Insurance Companies, Realtors, Green Raters, Credit Rating Agencies, Third Party Owners, and most importantly Homeowners can all benefit from a data collection effort that results in a transparent value for the solar asset that can be reliably and efficiently developed throughout the transaction process. Additionally, enabling the largest source of low cost capital which is in the mortgage marketplace will help enable the mass market adoption of solar across the country.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

3 SBIR/STTR records share this UEI (2014–2021). Reported award amounts total $1,924,716. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.