MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India

被引:182
|
作者
Saraswat, S. K. [1 ]
Digalwar, Abhijeet K. [1 ]
Yadav, S. S. [1 ]
Kumar, Gaurav [2 ]
机构
[1] Birla Inst Technol & Sci, Dept Mech Engn, Pilani 333031, Rajasthan, India
[2] Birla Inst Technol & Sci, Dept Civil Engn, Pilani 333031, Rajasthan, India
关键词
GIS; Multi-criteria decision making; Analytical hierarchy process; Site suitability analysis; Solar plant; Wind farm; India;
D O I
10.1016/j.renene.2021.01.056
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the recent past, various factors have led to an increase in the use of renewable energy sources, among which, the depleting fossil fuel reserves, increasing fuel prices, and rising environmental concerns are the most prominent. With this increasing reliance on renewable energy sources, a proper assessment of the suitable sites becomes necessary for the optimum utilization of these resources. The present study investigates the spatial suitability of the solar and wind farms locations in India based on the technical, economic, and socio-environmental perspectives. The analysis is performed with the coupled use of the Geographical Information System (GIS) and Multi-Criteria Decision Making (MCDM) approaches. Analysis of present research work shows that 4.13% of the study area (133,874 km(2)) is highly suitable for the deployment of solar plants while 0.91% of the total area (29,457 km(2)) is highly suitable for the wind farms. The study further concludes that the Rajasthan state in India has the highest suitable land for the installation of solar plants (20,881 km(2)) as well as wind farms (6323 km(2)). The proposed model can be used for the development of policies related to renewable energy resources and the assessment of suitability of already sanctioned projects. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:865 / 884
页数:20
相关论文
共 50 条
  • [1] Assessment of offshore wind farm site suitability in India using GIS and MCDM methods
    Luhaniwal, Jyoti
    Agarwal, Shivi
    Mathur, Trilok
    OPERATIONAL RESEARCH, 2025, 25 (02)
  • [2] A GIS based MCDM modelling approach for evaluating large-scale solar PV installation in Tunisia
    Rekik, Sassi
    El Alimi, Souheil
    ENERGY REPORTS, 2024, 11 : 580 - 596
  • [3] Determining Optimal Wind Energy Farms Locations Based on MCDM and GIS: a Case Study from Morocco
    Azzioui, Asmae
    Hajji, Rafika
    Ettarid, Mohamed
    Bouhamidi, Moulay Hafid
    Mouadine, Mustapha
    Ouacha, Ihssane
    PROCEEDINGS OF 2021 9TH INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC), 2021, : 665 - 672
  • [4] GIS-Based Multi-Criteria Wind Farm Site Selection Methodology
    Rehman, S.
    Baseer, M. A.
    Alhems, L. M.
    FME TRANSACTIONS, 2020, 48 (04): : 855 - 867
  • [5] Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: A case study in Mauritius
    Doorga, Jay R. S.
    Rughooputh, Soonil D. D. V.
    Boojhawon, Ravindra
    RENEWABLE ENERGY, 2019, 133 : 1201 - 1219
  • [6] A MCDM Based on Goal Programming and GIS-Based Risk Assessment for the Evaluation of Educational Locations in Conflict Areas
    Hallak, Jamil
    Polat, Elifcan Gocmen
    FOUNDATIONS OF COMPUTING AND DECISION SCIENCES, 2021, 46 (04) : 361 - 391
  • [7] Neural network-based modelling of wind/solar farm siting: a case study of East-Azerbaijan
    Asadi, Meysam
    Pourhossein, Kazem
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2021, 40 (07) : 616 - 637
  • [8] GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand
    Ali, Shahid
    Taweekun, Juntakan
    Techato, Kuaanan
    Waewsak, Jompob
    Gyawali, Saroj
    RENEWABLE ENERGY, 2019, 132 : 1360 - 1372
  • [9] Multi-criteria decision making (MCDM) approach for identifying optimal solar farm locations: A multi-technique comparative analysis
    Shehab, Zakariya Nafi'
    Faisal, Raid Mahmood
    Ahmed, Safwa Waleed
    RENEWABLE ENERGY, 2024, 237
  • [10] GIS-based site suitability analysis for wind farm development in Saudi Arabia
    Baseer, M. A.
    Rehman, S.
    Meyer, J. P.
    Alam, Md. Mahbub
    ENERGY, 2017, 141 : 1166 - 1176