A change-point principal component analysis (CP/PCA) method for predicting energy usage in commercial buildings: The PCA Model

Journal Article · Sat May 01 00:00:00 EDT 1993 · Journal of Solar Energy Engineering; (United States)

DOI:https://doi.org/10.1115/1.2930035· OSTI ID:6402903

Ruch, D; Chen, Lu; Haberl, J S; Claridge, D E ^[1]

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1. Texas A and M Univ., College Station (United States)

A new method for predicting daily whole-building electricity usage in a commercial building has been developed. This method utilizes a Principal Component Analysis (PCA) of intercorrelated influencing parameters (e.g., dry-bulb temperature, solar radiation and humidity) to predict electricity consumption in conjunction with a change-point model. This paper describes the PCA procedure and presents the results of its application in conjunction with a change-point regression, to predict whole-building electricity consumption for a commercial grocery store. Comparison of the results with a traditional Multiple Linear Regression (MLR) analysis indicates that a change-point, Principal Component Analysis (CP/PCA) appears to produce a more reliable and physically plausible model than an MLR analysis and offers more insight into the environmental and operational driving forces that influence energy consumption in a commercial building. It is thought that the method will be useful for determining conservation retrofit savings from pre-retrofit and post-retrofit consumption data for commercial buildings. A companion paper presents the development of the four-parameter change-point model and a comparison to the Princeton Scorekeeping Method (PRISM).

• OSTI ID: 6402903
• Journal Information: Journal of Solar Energy Engineering; (United States), Vol. 115:2; ISSN 0199-6231
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
COMMERCIAL BUILDINGS
ENERGY CONSUMPTION
MATHEMATICAL MODELS
ENERGY EXPENSES
HUMIDITY
MONITORING
RETROFITTING
SOLAR RADIATION
SPACE HVAC SYSTEMS
TEMPERATURE DISTRIBUTION
BUILDINGS
ENERGY SYSTEMS
RADIATIONS
STELLAR RADIATION
320105* - Energy Conservation
Consumption
& Utilization- Building Services- (1987-)