Generalization of the Fourier Series Approach to Model Hourly Energy Use in Commercial Buildings

[+] Author and Article Information
A. Dhar

Enron Corporation, 1400 Smith St., Houston, TX 77002

T. A. Reddy

Drexel University, Civil and Architectural Engineering Dept., Philadelphia, PA 19104

D. E. Claridge

Energy Systems Laboratory, Texas A&M University, College Station, TX-77843

J. Sol. Energy Eng 121(1), 54-62 (Feb 01, 1999) (9 pages) doi:10.1115/1.2888143 History: Received June 01, 1998; Revised September 01, 1998; Online February 14, 2008


Development of the accurate models for hourly energy use in commercial buildings has important ramifications for (I) retrofit savings analysis, (ii) diagnostics, (iii) on-line control and (iv) acquiring physical insights into the operating patterns of the buildings. Electric and thermal energy uses in commercial buildings, being strongly periodic, are eminently suitable for Fourier series analysis. Earlier studies assumed trigonometric polynomials with the hour of the day as the primary variable and one week as the period. This model, though suitable on the whole, was poor during certain weekday periods and during weekends. This paper presents a generalized Fourier series approach which, while ensuring a wider range of applicability, also yields superior regression fits partly because of the care taken to separate days of the year during which commercial buildings are operated differently and partly because of the rational functional form of regression model proposed. The validity of the approach is verified with year-long data of twenty-two monitored buildings.

Copyright © 1999 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.






Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In