Why quant efficiency?
Multiple Department of Energy Studies have found that energy modeling software like eQuest and Energy Plus are highly inaccurate.
1. Status quo: projections ≠ outcomes.
Even for calculating the energy use of the simplest buildings, software-generated energy use models and actual metered consumption routinely differ by more than 20%.
Additionally, the work associated with configuring computer based energy models is exceedingly time consuming. This means that highly inaccurate savings projections are also prohibitively expensive to generate—a huge roadblock to achieving sustainability goals.
2. Consistency can be achieved.
We work to identify small samples—half a day’s data or even just a couple hour’s worth—that offer a concrete indication of how a specific building system uses energy. Our team’s unique knowledge of how systems and specific equipment operate, specifically in relation to each other, allows us to identify key data signatures with unmatched precision.
Accurate, cost effective savings estimates open the door to easier, more accessible financing for projects—at scale. Loan periods aligned with pinpoint payback projections more effectively cover costs, delivering energy improvement projects at no cost.
For example, if the savings from a lighting upgrade can be predicted to pay for the project in four years with certainty, a loan payment structured for a four-year repayment will deliver the energy savings at no additional operating costs for the building owner or tenant.
Once financial markets can rely on predictable paybacks and internal rates of return for building energy improvements, a flood of low-cost investment funds will provoke the exponential proliferation of projects needed to achieve sustainability goals.