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

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 ar developed. The appropriate users 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.

Authors:
 [1];  [2];  [3]
  1. Univ. of Dayton, OH (United States). Dept. of Mechanical and Aerospace Engineering
  2. Drexel Univ., Philadelphia, PA (United States). Dept. of Civil and Architectural Engineering
  3. Texas A and M Univ., College Station, TX (United States). Dept. of Mechanical Engineering
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
665309
Resource Type:
Journal Article
Resource Relation:
Journal Name: Journal of Solar Energy Engineering; Journal Volume: 120; Journal Issue: 3; Other Information: PBD: Aug 1998
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; REGRESSION ANALYSIS; RETROFITTING; COMMERCIAL BUILDINGS; AMBIENT TEMPERATURE; DATA COVARIANCES; SPACE HEATING; AIR CONDITIONING; SPACE HVAC SYSTEMS; ENERGY CONSUMPTION

Citation Formats

Kissock, J.K., Reddy, T.A., and Claridge, D.E.. Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings. United States: N. p., 1998. Web. doi:10.1115/1.2888066.
Kissock, J.K., Reddy, T.A., & Claridge, D.E.. Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings. United States. doi:10.1115/1.2888066.
Kissock, J.K., Reddy, T.A., and Claridge, D.E.. Sat . "Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings". United States. doi:10.1115/1.2888066.
@article{osti_665309,
title = {Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings},
author = {Kissock, J.K. and Reddy, T.A. and Claridge, D.E.},
abstractNote = {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 ar developed. The appropriate users 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.},
doi = {10.1115/1.2888066},
journal = {Journal of Solar Energy Engineering},
number = 3,
volume = 120,
place = {United States},
year = {Sat Aug 01 00:00:00 EDT 1998},
month = {Sat Aug 01 00:00:00 EDT 1998}
}