Multi-Criteria Analysis of Wind Power Station Distribution Along the Red Sea Coast of the Kingdom of Saudi Arabia Using GIS (1985-2017)

被引:0
作者
Alkhelaif, Jehan A. [1 ]
Salman, Abeer Sh. [1 ]
机构
[1] King Saud Univ, Geog, Riyadh, Saudi Arabia
来源
JOURNAL OF ARCHITECTURE AND PLANNING -KING SAUD UNIVERSITY | 2024年 / 36卷 / 04期
关键词
Wind power station; Multi-criteria Decision; GIS; Kingdom of Saudi Arabia; Red Sea; ENERGY RESOURCE ASSESSMENT; FARMS; LOCATIONS; SYSTEM; SPEED;
D O I
10.33948/JAP-KSU-36-4-4
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The strategic placement of wind power stations is scientifically critical for exploiting their full capacity. This research aims to compare the spatial characteristics of wind speed across four city sites at the Red Sea coast in Saudi Arabia. These cities are Al-Wajh, Yanbu, Jeddah and Jazan, all of which have operational wind power stations that serve as our case study. Data from 1985 to 2017 were analysed, focusing on diurnal and seasonal mean values of average wind speed, maxi-mum wind speed and prevailing wind direction. These data were sourced from meteorological sta-tions located in the aforementioned cities. We employed geographical information systems tech-niques to evaluate and suggest optimal locations for potential wind power stations. These tools were integrated with statistical methods to analyse the climatic data, which further served the objectives of the study. The database for this study was built upon 14 layers, each layer determining which areas were suitable or unsuitable for wind power station placement. Amongst the examined cities, Jeddah had the largest suitable area, measuring approximately 13826.8 km2. Conversely, Jizan had the smallest suitable area, spanning just approximately 738.7 km2
引用
收藏
页数:19
相关论文
共 35 条
  • [1] Al-Abbadi N., 1997, Wind energy resource assessment in Saudi Arabia, P533
  • [2] Wind energy resource assessment for five locations in Saudi Arabia
    Al-Abbadi, NM
    [J]. RENEWABLE ENERGY, 2005, 30 (10) : 1489 - 1499
  • [3] Wind energy resource assessment in Saudi Arabia .1. Network design and description
    Alawaji, SH
    [J]. RENEWABLE ENERGY, 1996, 7 (04) : 319 - 328
  • [4] Geospatial analysis of wind energy plant in Saudi Arabia using a GIS-AHP technique
    Albraheem, Lamya
    AlAwlaqi, Lama
    [J]. ENERGY REPORTS, 2023, 9 : 5878 - 5898
  • [5] Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea
    Ali, Sajid
    Lee, Sang-Moon
    Jang, Choon-Man
    [J]. ENERGIES, 2017, 10 (12)
  • [6] [Anonymous], Online Country Profiles
  • [7] Ansari J., 1986, SAUDI ARABIAN WIND E, P1
  • [8] Developing and applying a GIS-assisted approach to locating wind farms in the UK
    Baban, SMJ
    Parry, T
    [J]. RENEWABLE ENERGY, 2001, 24 (01) : 59 - 71
  • [9] GIS-based site suitability analysis for wind farm development in Saudi Arabia
    Baseer, M. A.
    Rehman, S.
    Meyer, J. P.
    Alam, Md. Mahbub
    [J]. ENERGY, 2017, 141 : 1166 - 1176
  • [10] Development of wind energy market in the European Union
    Borawski, Piotr
    Beldycka-Borawska, Aneta
    Jankowski, Krzysztof Jozef
    Dubis, Bogdan
    Dunn, James W.
    [J]. RENEWABLE ENERGY, 2020, 161 : 691 - 700