Development and application of regression models to predict cooling energy consumption in large commercial buildings

S. Katipamula, T Agami Reddy, D. E. Calridge

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

22 Scopus citations

Abstract

The objective of this paper is to evaluate the applicability of multiple linear regression (MLR) models, based on engineering principles, to measured cooling energy consumption in commercial buildings (with either a dual-duct constant volume (DDCV) or a dual-duct variable air volume (VAV) system). The cooling energy consumption in five large commercial buildings in Texas was modeled and compared on both a daily and an hourly basis. The daily models showed higher coefficients of determination (R2) and lower coefficients of variation (CV) than the hourly models for both the DDCV and VAV systems. The outdoor dry-bulb and dew-point temperatures accounted for most of the variation in the cooling energy consumption. Compared to the base model (two-parameter model with outdoor dry-bulb as the only variable), all the MLR models showed a decrease in the CV between 10 and 66 percent, with an average decrease of about 33 percent, thus clearly indicating the superiority of MLR models.

Original languageEnglish (US)
Title of host publicationASME-JSES-JSME International Solar Energy Conference
Place of PublicationNew York, NY, United States
PublisherPubl by ASME
Pages307-322
Number of pages16
StatePublished - 1994
Externally publishedYes
EventProceedings of the 1994 ASME/JSME/JSES International Solar Energy Conference - San Francisco, CA, USA
Duration: Mar 27 1994Mar 30 1994

Other

OtherProceedings of the 1994 ASME/JSME/JSES International Solar Energy Conference
CitySan Francisco, CA, USA
Period3/27/943/30/94

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Katipamula, S., Reddy, T. A., & Calridge, D. E. (1994). Development and application of regression models to predict cooling energy consumption in large commercial buildings. In ASME-JSES-JSME International Solar Energy Conference (pp. 307-322). Publ by ASME.