توسعة مدل تصمیم‌گیری مبتنی بر شاخص‌های پایداری جهت استقرار نیروگاه‌های خورشیدی: مطالعة دشت یزد-اردکان

نوع مقاله : مقاله پژوهشی

نویسندگان

گروه علوم و مهندسی محیط زیست، دانشکدة کشاورزی و منابع طبیعی، دانشگاه اردکان، اردکان، ایران.

10.22059/jne.2025.389142.2757

چکیده

در این تحقیق، مکان‌یابی مناسب برای تأسیس نیروگاه خورشیدی فتوولتائیک در دشت یزد اردکان مورد بررسی قرار گرفته است. به این منظور از داده‌های توپوگرافی شامل ارتفاع، شیب و جهات شیب و همچنین اطلاعات آب و هوایی سالانه نظیر دما، بارش، رطوبت نسبی، ساعات آفتابی، سرعت و جهت باد استفاده شده است. این اطلاعات از چهار ایستگاه مختلف شامل عقدا، میبد، یزد و مهریز جمع‌آوری گردید. لایه‌های محدودیت مانند گسل‌ها، مناطق شهری و جاده‌ها نیز در این تحقیق بررسی شده‌اند. ابتدا تمامی لایه‌های مربوط به معیارهای استخراج شده تهیه و با استفاده از روش وزن‌دهی معکوس فاصله، درون‌یابی شدند. سپس داده‌ها نرمال‌سازی شدند و وزن‌های مربوط به پارامترها از طریق روش تحلیل سلسله‌مراتبی با رویکرد مقایسات زوجی استخراج گردید. با تلفیق نقشه‌ها، درجة تناسب اراضی به‌دست آمد. برای استخراج موثرترین پارامترها، آنالیز حساسیت انجام شد. فرآیند تلفیق با دو سناریو، یکی بدون در نظر گرفتن و دیگری با در نظر گرفتن محدودیت‌های مطالعه مورد نظر، انجام گرفت. نتایج نشان داد که با لحاظ کردن محدویت‌ها، 15/5 درصد از دشت یزد اردکان دارای تناسب متوسط، 8 درصد دارای تناسب خوب و 2/8 درصد دارای تناسب عالی هستند که این نواحی بیشتر در مناطق حاشیه‌ای شرقی و غربی شهرستان‌های میبد و یزد واقع شده‌اند. تحلیل حساسیت همچنین نشان داد که تغییر اوزان پارامترهای اقلیمی باعث افزایش 3 درصدی تناسب ضعیف و کاهش تناسب عالی می‌شود. این یافته‌ها اهمیت پارامترهای اقلیمی را در تعیین سازگاری اراضی برای تأسیس نیروگاه‌های خورشیدی تأکید می‌کنند.

کلیدواژه‌ها

عنوان مقاله [English]

Development of a sustainability-based decision-making model for the establishment of solar power plants: A case study in the Yazd-Ardakan plain

نویسندگان [English]

  • javad Beygi
  • Akram Bemani
  • Tahere Ardakani
  • Maryam Moradi

Department of Environmental Sciences & Engineering, Faculty of Agriculture & Natural Resources, Ardakan University, Ardakan, Iran.

چکیده [English]

This study investigates the optimal site selection for establishing a photovoltaic solar power plant in the Yazd-Ardakan plain. To this end, topographical data including elevation, slope, and slope directions, as well as annual climatic information such as temperature, precipitation, relative humidity, sunshine hours, wind speed, and wind direction, were utilized. These data were collected from four different stations: Aqda, Meybod, Yazd, and Mehriz. Constraint layers, including faults, urban areas, and roads, were also examined in this research. Initially, all relevant layers corresponding to the extracted criteria were prepared and interpolated using the Inverse Distance Weighting (IDW) method. Subsequently, the data were normalized, and the weights of the parameters were derived through the Analytic Hierarchy Process (AHP) using pairwise comparisons. By integrating the maps, the land suitability degree was assessed. To identify the most effective parameters, sensitivity analysis was performed. The integration process was carried out under two scenarios: one that disregarded constraints and another that considered the study's limitations. The results indicated that when constraints were taken into account, 5.15% of the Yazd-Ardakan plain exhibited moderate suitability, 8% demonstrated good suitability, and 2.8% showed excellent suitability, with these areas primarily located in the eastern and western peripheries of Meybod and Yazd counties. The sensitivity analysis further revealed that changes in the weights of climatic parameters resulted in a 3% increase in poor suitability and a decrease in excellent suitability. These findings underscore the importance of climatic parameters in determining the compatibility of lands for the establishment of solar power plants.

کلیدواژه‌ها [English]

  • Land suitability
  • GIS
  • Solar energy
  • Site selection
  • WLC
Akçay, M., Atak, M., 2018. Optimal site selection for a solar power plant in Turkey using a hybrid AHP-TOPSIS method. Celal Bayar University Journal of Science 14(4), 413-420.
Ali, A. Kamali, M., 2021. Impact of climate change on solar energy production: A global perspective. Renewable Energy Review 58, 245-257.
Arefi, A., Mohammadian, A., Rahimi, N., 2023. The assessment of suitable locations for solar power plants in Yazd-Ardakan region. Journal of Renewable Energy 45(2), 123-135. 
Bahrami, A., Motevali, A., Katibeh, M., 2020. A hybrid approach for solar energy plants site selection using ANP and TOPSIS methods. Environmental Science and Pollution Research 27(15), 18486-18499.
Bardhan, S. K., Tan, S., Babu, M. S. R., 2021. Decision-making in renewable energy systems: A review of multi-criteria decision-making techniques. Renewable and Sustainable Energy Reviews 149, 111373.
Beyazoglu, M., Gokoz, A., 2023. Evaluation of environmental and economic aspects of solar energy utilization in arid regions. Environmental Science and Policy 72, 245-259.
Colak, H.E., Memisoglu, T., Gercek, Y., 2020. Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey. Renewable Energy 149, 565-576.
Dashti, A., Arjmand, H., Ramazani, A., 2021. Evaluation of site selection criteria for renewable energy power plants: The case of Iran. Energy Reports 7, 789-805.
Dashti, A., Arjmand, H., Ramazani, A., 2021. Evaluation of site selection criteria for renewable energy power plants: The case of Iran. Energy Reports 7, 789-805.
Goh, H., Li, A., Chang, W., 2022. Site selection for solar power plants using cost-benefit analysis in California. Energy Policy 156, 112384.
Goh, H. H., Li, C., Zhang, D., Dai, W., Lim, C. S., Kurniawan, T. A., 2022. Application of choosing by advantages to determine the optimal site for solar power plants. Scientific Reports 12, 4113.
Huang, Y., Wu, J., Li, B., 2017. A multi-criteria decision-making approach for renewable energy site selection: A case study for urban areas. Applied Energy 185, 1130-1138.
IEA (International Energy Agency), 2021. World Energy Outlook 2021. International Energy Agency.
IRENA (International Renewable Energy Agency), 2020. Renewable Power Generation Costs in 2020. Available at: IRENA Report 2020.
IRENA (International Renewable Energy Agency), 2019. International Renewable Energy Agency. Available at: www.irena.org.
Jahangiri, M., Zare, S., Kharazi, M., 2022. Potential of solar energy production in Iran’s capital cities: A multi-criteria decision-making approach. International Journal of Solar Energy Research 16(1), 45-59.
Jahangiri, S., Fadaei, S., Zare, A., 2022. Exploring barriers to solar energy development in desert areas. Sustainable Energy Reviews 30(6), 250-263.
Karimi Pour, M., Aliabadi, M., Rahmani, K., 2020. Assessment of solar energy technologies in Iran. Iranian Journal of Energy 15(2), 45-60.
Koolak, H., Celik, M., Yilmaz, O., 2022. Optimal site selection for photovoltaic solar power plants using GIS and AHP: A case study in Malatya, Turkey. Journal of Cleaner Production 348, 131214.
Koulak, J., Das, P., Kumar, S., 2020. Optimization of solar power generation in desert areas. International Journal of Energy Studies 11(1), 88-100.
Kumar, P., Sharma, S., Singh, D., 2020. Multi-criteria decision-making approach for solar power plant site selection: A review. Renewable and Sustainable Energy Reviews 130, 109917.
Lelieveld, J., Crutzen, P.J.H.G.H.K., 2015. The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 525, 367-371.
Lotfi, S., Ahmadi, S., Khosravi, H., 2021. Identification of suitable locations for solar power plants in Iran using multi-criteria decision-making methods. Journal of Renewable Energy Research 11(2), 123-134.
Lotfi, M., Nikdel, A., Ranjbar, H., 2021. Evaluating solar energy resources in central Iran. Journal of Environmental Studies 12(3), 32-47.
Malczewski, J., 1999. GIS and Multicriteria Decision Analysis. New York: Wiley.
Mirzaei, A., 2022. Fuzzy logic and multi-criteria decision-making for the suitable location of solar power plants in Turkey. Renewable Energy 170, 74-82.
Mirzaei, S., 2022. Advancements in solar technology for arid climates. Journal of Solar Applications 14(1), 55-70.
Moussa, T., Shaltout, M., Mahmoud, M., 2021. Solar radiation assessment and its impact on solar power generation. Energy Reports 7, 120-128.
NREL (National Renewable Energy Laboratory), 2016. Available at: www.nrel.gov.
NREL (National Renewable Energy Laboratory), 2021. Renewable Energy Policy Network for the 21st Century. Available at: www.ren21.net
Pounse, S., Chaharmahali, A., 2022. The impact of climate conditions on solar energy output. Renewable Energy Journal 19(1), 100-115.
REN21, 2021. Renewable energy policy network for the 21st century. Available at: https://www.ren21.net.
Roos, J., Dorat, A., 2020. Integrating solar energy into urban planning. Urban Renewable Energy Journal 5(3),89-104.
Sadat, M., Mahmoudi, M., Asadi, A., 2021. Barriers to the development of renewable energy systems in Iran: A comprehensive study. Renewable and Sustainable Energy Reviews 135, 110183.
Shafiee, S., Topal, E., 2019. Solar energy storage systems: A comprehensive review. Journal of Energy Storage 25, 100-113.
Shau, H., Smith, R., Lee, J., 2020. A study on solar energy potential in arid regions. Journal of Renewable Energy 45(3), 123-135.
Zanakis, S. H., Solomon, A., Wishart, N., Drezner, T., 1998. Multi-attribute decision making: A review of the methods. European Journal of Operational Research 107(3), 387-427.
Zarifkar, A., Hosseini, S., Zare, M., 2023. Sensitivity analysis of climatic parameters in solar power plant site selection. Energy Conversion and Management 268, 116968.
Zhao, Y., Wu, J., Zhang, X., 2021. Flexible solar panels: Innovations and applications in renewable energy. Renewable and Sustainable Energy Reviews 136, 110-123.
Zheng, Y., Wang, L., Li, J., 2020. Space requirements for solar farms: An assessment and recommendations. Renewable Energy 153, 225-233.
WHO (World Health Organization), 2018. Air Pollution and Health. Available at: WHO Air Pollution.