Issue |
E3S Web Conf.
Volume 610, 2025
2024 Research, Invention, and Innovation Congress (RI2C 2024)
|
|
---|---|---|
Article Number | 01001 | |
Number of page(s) | 7 | |
Section | Energy Technology | |
DOI | https://doi.org/10.1051/e3sconf/202561001001 | |
Published online | 23 January 2025 |
Analysis of solar and wind farm area using technique for order of preference by similarity to ideal solution
1 Industrial Engineering, Ubonratchathani University, Thailand
2 College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
3 Department of Industrial Engineering, Yildiz Technical University, Besiktas, Istanbul, Turkey
4 Institute of Logistics and Material Handling Systems, Otto-von-Guericke University Magdeburg, Germany
* Corresponding author: kasin.r@ubu.ac.th
Solar and wind are considered the type of renewable energy source that can power a clean energy revolution especially for the upstream process of the Green Hydrogen Supply Chain (GHSC). The GHSC, in particular, is concerned with the electrolysis technique, in which water and electricity from renewable energy sources like solar and wind are used. In this study, our aim is to assess the strategic location of solar and wind farm area under diverse criteria using a case study in Thailand. In particular, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied, in which criteria data for air temperature, terrain elevation, direct normal irradiation, photovoltaic power, wind speed, and power density relevant to solar and wind efficiency are collected. The TOPSIS technique is used to evaluate alternatives from the district areas using a case study at Ubonratchathani, Thailand. Our results suggest the ranking list for potential district areas to investigate further for projects involving renewable energy investment connected to the GHSC. The obtained results will be further used as input data for our ongoing work on the model and analysis of the GHSC network.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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