A cooling change-point model of community-aggregate electrical load

Muhammad Tauha Ali, Marwan Mokhtar, Matteo Chiesa, Peter Armstrong

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Estimates of daily electrical cooling load for a city of 800,000 are developed based on the relationship between weather variables and daily-average electricity consumption over 1 year. The relationship is found to be nearly linear above a threshold temperature. Temperature and humidity were found to be the largest, at 59%, and second largest, at 21%, contributors to electrical cooling load. Direct normal irradiation intercepted by a vertical cylinder, DNI sin θ, was found to be a useful explanatory variable when modeling aggregates of buildings without a known or dominant orientation. The best study case model used DNI sin θ and diffuse horizontal irradiation (DHI) as distinct explanatory variables with annual electrical cooling load contributions of 9% and 11% respectively. Although the seasonal variation in electrical cooling load is large - on peak summer days more than 1.5 times the winter base load - the combined direct and diffuse solar contribution is essentially flat through the year, a condition at odds with the common assumption that solar cooling always provides a good match between supply and demand. The final model gives an electrical cooling load estimate for Abu Dhabi Island that corresponds to 40% of the total annual electrical load and 61% on the peak day.

Original languageBritish English
Pages (from-to)28-37
Number of pages10
JournalEnergy and Buildings
Volume43
Issue number1
DOIs
StatePublished - Jan 2011

Keywords

  • Cooling load
  • Energy signature
  • Equivalent thermal parameters
  • Humidity
  • Multivariate regression
  • Solar radiation

Fingerprint

Dive into the research topics of 'A cooling change-point model of community-aggregate electrical load'. Together they form a unique fingerprint.

Cite this