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RESEARCH PAPERS

Ambient-Temperature Regression Analysis for Estimating Retrofit Savings in Commercial Buildings

[+] Author and Article Information
J. K. Kissock

University of Dayton, Dayton, OH, Department of Mechanical and Aerospace Engineering

T. A. Reddy

Drexel University, Philadelphia, PA, Department of Civil and Architectural Engineering

D. E. Claridge

Texas A&M University, College Station, TX, Department of Mechanical Engineering

J. Sol. Energy Eng 120(3), 168-176 (Aug 01, 1998) (9 pages) doi:10.1115/1.2888066 History: Received May 01, 1998; Revised May 01, 1998; Online February 14, 2008

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.

Copyright © 1998 by The American Society of Mechanical Engineers
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