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Wind Energy Mapping in Al Batinah Region Using Data Mining Techniques

Authors :
Natarajan Prabhu
Savarimuthu Charles
Al-Zadjali Najiba Said Hamed
Rances Emanuel O.
Selvam Kulasekar Panneer
Ahamed Z.A. Feroze
Source :
E3S Web of Conferences, Vol 405, p 02023 (2023)
Publication Year :
2023
Publisher :
EDP Sciences, 2023.

Abstract

Renewable energy sources are cheap to produce and have no upfront costs. It can take many different forms, including solar, wind, geothermal, hydroelectric, oceanic, and biological. There are numerous renewable energy resources in Oman, especially wind and solar. The kinetic energy of moving air is transformed into electrical energy to create wind power. This electrical energy has been used to pump water from the sea to tiny artificial ponds close to the wind farms, where the water is desalinated, used for agriculture, and then stored. The research attempts to identify the best locations for windmills that transfer seawater to small ponds. The various parameters are considered to select a suitable site for wind energy mapping, such as wind speed, elevation, distance to the main road, distance to an urban area, and land cover or land use. In order to choose appropriate locations for windmill mapping, data mining techniques are used. Based on parameters applied to classification and clustering techniques, a few wind mill sites are identified as suitable.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English, French
ISSN :
22671242
Volume :
405
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.b4d314004bb49a2b648920007761199
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/202340502023