A modelling approach for evaluating the wind resource and power generation using a high-resolution grid at selected regions in the northeast of Thailand
Author:
Funder
Khon Kaen University
Publisher
Springer Science and Business Media LLC
Subject
Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s40808-022-01669-z.pdf
Reference43 articles.
1. Almutairi K, Hosseini Dehshiri SS, Hosseini Dehshiri SJ et al (2021) Technical, economic, carbon footprint assessment, and prioritizing stations for hydrogen production using wind energy: a case study. Energy Strateg Rev 36:100684. https://doi.org/10.1016/j.esr.2021.100684
2. Amarasinghe AG, Perera ENC (2021) Modeling predictive suitability to determine potential areas for establishing wind power plants in Sri Lanka. Model Earth Syst Environ 7:443–454. https://doi.org/10.1007/s40808-020-00868-w
3. Arshad M, O’Kelly B (2019) Global status of wind power generation: theory, practice, and challenges. Int J Green Energy 16:1073–1090. https://doi.org/10.1080/15435075.2019.1597369
4. Bank of Thailand (2022) Thailand’s macroeconomic indicators. https://www.bot.or.th/App/BTWS_STAT/statistics/BOTWEBSTAT.aspx?reportID=409&language=TH. Accessed 15 Aug 2022
5. Brower MC, Bailey BH, Bernadett DW et al (2012) Wind resource assessment: a practical guide to developing a wind project, first edit. John Wiley & Sons, Inc., Canada
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