Correlation between climate data and maximum electricity demand in Qatar

Author

Gastli, A. ; Charabi, Yassine ; Alammari, Rashid A. ; Al-Ali, Ali M.

Author_Institution

Dept. of Electr. Eng., Qatar Univ., Doha, Qatar

fYear

2013

fDate

17-20 Nov. 2013

Firstpage

565

Lastpage

570

Abstract

This paper presents the analysis of the impact of weather conditions on the maximum electricity demand in Qatar during the whole year 2012. It points out the maximum daily air temperature as the most influential climate (meteorological) parameter. Correlation between maximum daily temperature and maximum daily electricity demand are also indicated and analyzed. It is noticed that there is a linear correlation between these two variables for maximum temperature values above 22°C because of the air-conditioning type of the major load. During extremely hot summer periods, there is a tendency of increased electricity consumption because of air conditioning. A timely and accurate weather forecast can certainly help prevent the electrical power system overload and reduce the risk of possible power system damage.

Keywords

air conditioning; weather forecasting; Qatar; air conditioning type; climate data; daily air temperature; linear correlation; maximum electricity demand; power system damage; the electrical power system overload; weather forecast; Correlation; Economics; Electricity; Humidity; Power demand; Air Conditioning; Correlation; Electricity Demand; Humidity; Qatar; Temperature; Weather;

fLanguage

English

Publisher

ieee

Conference_Titel

GCC Conference and Exhibition (GCC), 2013 7th IEEE

Conference_Location

Doha

Print_ISBN

978-1-4799-0722-9

Type

conf

DOI

10.1109/IEEEGCC.2013.6705841

Filename

6705841