Just for clarity, the study Renee & Marion reference was completed using the most common tool available to residential appraisers: Paired sales analysis. It was supplemented by a market-participant survey; agents/brokers that were involved in sales that had a PV or significant renewable/energy-efficient feature. DCFs were not part of that analysis.
However, I used the DCF for my own "reality check" and the DCF results were consistent with the paired sales. When I say "consistent", I mean most systems indicated a NPV of $20k to $40k which was pretty consistent with the 2% premium the study found, and certainly within the range (near zero to 3.5%) that the individual pairings indicated.
I now have a 'peer-reviewed' data base that I can use as supplementary support. It won't be good forever unless I update it.
When I do these systems for "live" assignments, I do three things:
A. Look for direct sales to pair. Sometimes I find them, sometimes I don't.
B. Run a DCF assuming I have enough information about the system (and as I've said, it is generic).
C. Complete a market-participant survey for that market. If the comps don't have the system, I still ask the agents how they think such a system would impact the sale. Some give me an answer, others say they have no clue (honest agents).
This is the level of due diligence I perform in my market where the expectation is that such features/components will be credibly and competently evaluated. And, as I've said many times before, in my markets, where the adjusted range can be a $40k to $80k spread, it is a no brainer (for me) to consider the amenity's impact on value in the reconciliation, and use it as rationale to pick a point higher on the adjusted range than lower. This isn't "fudging" the numbers. This is what the reconciliation is all about.
And you can bet that in Sunnyvale, Menlo Park, or Mountain View (ground zero for the high-tech industry, Mountain View has a median home price of $2,500k), the reconciliation is higher than, say, Stockton, where the range is likely tighter than $80k. This makes intuitive sense because the Stockton demographic has less ability to purchase such an amenity than the Mountain View demographic.
I'm not a "go-green" guy for green's sake. I am a "will it really return on my investment?" guy. Most people are. If it does, than I'll consider it. If it doesn't, I'm not apt to make a decision based on a social-awareness motivation especially when I'm not convinced what I'm considering is a solution to the problem, whether I think there is a problem or not.
I am an appraiser, however. And this is data. In my markets, it should be analyzed; the techniques used and the results concluded are like any of our other tools/results: their confidence level is going to be dependent on the quality of the data (factual and assumptions) and the quantity of the data.
YMMV.
