Effect of time resolution on statistical modeling of cooling energy use in large commercial buildings
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To determine the most accurate time resolution for regression models, the monthly, daily, hourly, and individual hourly or hour-of-day (HOD) multiple linear regression (MLR) models when applied to measured cooling energy consumption (Ec) in commercial buildings are compared. Ec consumption in five large commercial buildings both under dual-duct constant-volume (DDCV) and the dual-duct variable-air-volume (VAV) HVAC systems is modeled in all four time scales using functional forms based on engineering principles. The relative advantages and disadvantages of the four models are compared. In general, the results indicate that daily time scale models are most advantageous for retrofit savings determination, while HOD models are best for O&M purposes.
author list (cited authors)
Katipamula, S., Reddy, T. A., & Claridge, D. E.
complete list of authors
Katipamula, S||Reddy, TA||Claridge, DE