Development of an inverse method to estimate overall building and ventilation parameters of large commercial buildings

S. Deng, T Agami Reddy, D. E. Claridge

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

Abstract

We propose an inverse method to estimate building and ventilation parameters from non-intrusive monitoring of heating and cooling energy use of large commercial buildings. The procedure involves first deducing the loads of an ideal one-zone building from the monitored data, and then in the framework of a mechanistic macro-model, using a multistep linear regression approach to determine the regression coefficients (along with their standard errors) which can finally be translated into estimates of the physical parameters (along with the associated errors). Several different identification schemes have been evaluated using heating and cooling data generated from a detailed building simulation program for two different building geometries and building mass at two different climatic locations. A multistep identification scheme has been found to yield very accurate results, and an explanation as to why it should be so is also given. This approach has been shown to remove much of the bias introduced in multiple linear regression with correlated regressor variables. We have found that the parameter identification process is very accurate when daily data over an entire year are used. Parameter identification accuracy using twelve monthly data points and daily data over three months of the year was also investigated. Identification with twelve monthly data points seems to be fairly accurate while that using daily data over a season does not yield very good results. This latter issue needs to be investigated further because of its practical relevance. As a first step, we were able to identify certain criteria regarding the climatic data which would provide an initial indication on the identification accuracy using seasonal data.

Original languageEnglish (US)
Title of host publicationInternational Solar Energy Conference
EditorsD.E. Claridge, J.E. Pacheco
Place of PublicationNew York, NY, United States
PublisherASME
Pages121-129
Number of pages9
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 International Solar Energy Conference - Washington, DC, USA
Duration: Apr 27 1997Apr 30 1997

Other

OtherProceedings of the 1997 International Solar Energy Conference
CityWashington, DC, USA
Period4/27/974/30/97

ASJC Scopus subject areas

  • Space and Planetary Science
  • Renewable Energy, Sustainability and the Environment

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    Deng, S., Reddy, T. A., & Claridge, D. E. (1997). Development of an inverse method to estimate overall building and ventilation parameters of large commercial buildings. In D. E. Claridge, & J. E. Pacheco (Eds.), International Solar Energy Conference (pp. 121-129). ASME.