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

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

Research output: Contribution to journalArticle

83 Scopus citations

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
DOIs
StatePublished - Aug 1998
Externally publishedYes

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings'. Together they form a unique fingerprint.

  • Cite this