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

Journal Article · Sat Aug 01 00:00:00 EDT 1998 · Journal of Solar Energy Engineering

DOI:https://doi.org/10.1115/1.2888066· OSTI ID:665309

Kissock, J K ^[1]; Reddy, T A ^[2]; Claridge, D E ^[3]

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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

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.

• Sponsoring Organization: USDOE
• OSTI ID: 665309
• Journal Information: Journal of Solar Energy Engineering, Vol. 120, Issue 3; Other Information: PBD: Aug 1998
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
REGRESSION ANALYSIS
RETROFITTING
COMMERCIAL BUILDINGS
AMBIENT TEMPERATURE
DATA COVARIANCES
SPACE HEATING
AIR CONDITIONING
SPACE HVAC SYSTEMS
ENERGY CONSUMPTION