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To calculate the usage impact of retrofits, we model hourly usage categorized into heating, cooling, lighting, water heater, appliance, EV, and pool usage. We model typical usage based on zipcode using baseline data. This can be edited based on monthly or annual inputs for usage or bills (or from a CSV of interval data). This usage can be altered with projected usage to model changes from current usage due to the addition of a pool, EV, etc, or other significant changes to usage (e.g. change in occupancy). Usage personas can also be applied to adjust the daily usage profile by hour using template personas (e.g. 9-5 workers, daytime user) or custom 24 hour inputs.
With hourly usage modelledmodeled, we seperate separate the usage into the categories mentioned above using TMY datasets which estimate the percentage of usage in each category by hour. This allows us to capture the interdependence of the timing of usage and what category. For example, if you adjusted usage to be primarily during the day, you would see cooling usage as a percentage of total usage increase. Appliance usage is also broken down into subcategories (washer, dryer, cooking, dishwasher, and refrigerator based on regional usage patterns.
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Reduction Modeling
The usage savings are modelled modeled by applying the percentage reduction to the retrofit’s corresponding usage category(ies) hourly usage or to the total hourly usage depending on the user’s input. This calculation is applied before any solar or storage modelling modeling because they will not influence the customers consumption.
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