historical data

As more buildings are connected to cloud-based large data systems, there is an opportunity to learn from the data. Predictive load and energy modeling calculations, which have long been performed based on assumptions, can be validated, or adjusted based on accrued data from in-service buildings.
This paper publishes zone sensible cooling loads, based on historical data. The results should serve as a guideline to cooling load and energy modeling calculations in future designs.