Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings

J. K. Kissock, T Agami Reddy, D. E. Claridge

Research output: Contribution to journalArticle

80 Citations (Scopus)

Abstract

This paper describes a procedure for estimating weather-adjusted retrofit savings in commercial buildings using ambient-temperature regression models. The selection of ambient temperature as the sole independent regression variable is discussed. An approximate method for determining the uncertainty of savings and a method for identifying the data time scale which minimizes the uncertainty of savings are developed. The appropriate uses of both linear and change-point models for estimating savings based on expected heating and cooling relationships for common HVAC systems are described. A case study example illustrates the procedure.

Original languageEnglish (US)
Pages (from-to)168-176
Number of pages9
JournalJournal of Solar Energy Engineering, Transactions of the ASME
Volume120
Issue number3
StatePublished - Aug 1998
Externally publishedYes

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Regression analysis
Cooling
Heating
Temperature
Uncertainty
HVAC

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology
  • Mechanical Engineering
  • Renewable Energy, Sustainability and the Environment

Cite this

Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings. / Kissock, J. K.; Reddy, T Agami; Claridge, D. E.

In: Journal of Solar Energy Engineering, Transactions of the ASME, Vol. 120, No. 3, 08.1998, p. 168-176.

Research output: Contribution to journalArticle

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