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

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

doi:10.1115/1.2888066

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

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

Research output: Contribution to journal › Article › peer-review

85 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 language	English (US)
Pages (from-to)	168-176
Number of pages	9
Journal	Journal of Solar Energy Engineering, Transactions of the ASME
Volume	120
Issue number	3
DOIs	https://doi.org/10.1115/1.2888066
State	Published - Aug 1998
Externally published	Yes

ASJC Scopus subject areas

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

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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.",

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

Abstract

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