I want to calibrate my building energy simulation from eQuest using the measured utility bills data (electricity and gas). I have three years of bills data (2016-2018), which bill data should I use to calibrate the model? How do I justify my choice? Is there any research paper recommendation to support the justification?
Bintang Ekananda You need to try to make your inputs consistent as possible. For example, try to match the year of your weather file with your bill data. If you're using a TMY weather file, try to choose the year of the bill data in which no extreme weather conditions occurred, since these conditions dramatically affect the electricity and gas consumption. Maybe you can plot your data to identify abnormalities or outliers... These are some ideas but at the end it all depends on your judgement.You know your data and the differences between them.
Hope this helps.
After evaluating the occupancy and facility use variances along weather histories against a rolling 20 year+ weather history - use the bill history that most closely matches an "average" of both.
Chances are good you will not get a real clear answer. Close is all you can hope for at this point.
A great modeling software can only get you to what differences you can expect with a change to that model's inputs (wall, fenistration, use, lighting, etc.). I do not believe you can predict what your bill will be in the future on an actual building.
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