Effect of time resolution on statistical modeling of cooling energy use in large commercial buildings

Srinivas Katipamula, T Agami Reddy, David E. Claridge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

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 (E c) in commercial buildings are compared. E c 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.

Original languageEnglish (US)
Title of host publicationASHRAE Transactions
PublisherASHRAE
Pages172-185
Number of pages14
Volume101
EditionPt 2
StatePublished - 1995
Externally publishedYes
EventProceedings of the 1995 ASHRAE Annual Meeting - San Diego, CA, USA
Duration: Jun 24 1995Jun 28 1995

Other

OtherProceedings of the 1995 ASHRAE Annual Meeting
CitySan Diego, CA, USA
Period6/24/956/28/95

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes

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    Katipamula, S., Reddy, T. A., & Claridge, D. E. (1995). Effect of time resolution on statistical modeling of cooling energy use in large commercial buildings. In ASHRAE Transactions (Pt 2 ed., Vol. 101, pp. 172-185). ASHRAE.