Wind energy for rural areas of Algeria

  • Y. Himri*
  • , S. Rehman
  • , A. Agus Setiawan
  • , S. Himri
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

49 Scopus citations

Abstract

This paper presents long-term analysis of wind speed data in terms of annual, seasonal and diurnal variations at Tindouf, which is situated on the south west region of Algeria. The wind speed data was collected over a period of 08 years between 1976 and 1984. The study showed that the long-term seasonal wind speeds were found to be relatively higher during September compared to other months. The diurnal change in long-term mean wind speed indicated that higher electricity could be produced during 09:00-18:00 h, which also coincides with higher electricity demand period. The annual wind energy production and capacity factor, obtained using wind speed frequency distribution and wind power curve of 1000 kW wind turbine and RETScreen software were found comparable with each other if unadjusted energy production values calculated by the software were used rather than the renewable energy delivered. Development of wind farm of 30 MW installed capacity at this site could result into avoidance of 23,252 tonnes/year of CO 2 equivalents GHG from entering into the local atmosphere thus creating a clean and healthy atmosphere for local inhabitants.

Original languageEnglish
Pages (from-to)2381-2385
Number of pages5
JournalRenewable and Sustainable Energy Reviews
Volume16
Issue number5
DOIs
StatePublished - Jun 2012

Bibliographical note

Funding Information:
The authors wish to acknowledge the support of Research Institute of King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia and thank Dr Dennis Kumetat at the London School of Economics & Political Science, Department of Geography and Environment U.K. for literature searches.

Keywords

  • Algeria
  • Frequency
  • Plant capacity factor
  • RETScreen
  • Renewable energy
  • Wind speed

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Fingerprint

Dive into the research topics of 'Wind energy for rural areas of Algeria'. Together they form a unique fingerprint.

Cite this