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مکانیابی بهینه نیروگاه خورشیدی با استفاده از روش بهترین-بدترین، سوارا و سیستم اطلاعات مکانی (مطالعه موردی: استان فارس) | ||
| فصلنامه سیستم های انرژی پایدار | ||
| دوره 3، شماره 2، فروردین 1403، صفحه 209-227 اصل مقاله (1.92 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ses.2024.380640.1085 | ||
| نویسندگان | ||
| وحیدرضا عتباتی1؛ مهدی عربی* 2 | ||
| 1دانشجوی کارشناسی ارشد سیستمهای اطلاعات مکانی،گروه مهندسی نقشهبرداری، دانشکدۀ مهندسی عمران، دانشگاه تربیت دبیر شهید رجایی، تهران، ایران | ||
| 2دانشیار گروه مهندسی نقشهبرداری، دانشکدۀ مهندسی عمران، دانشگاه تربیت دبیر شهید رجایی، تهران، ایران | ||
| چکیده | ||
| کشور ایران که به عنوان یکی از تولیدکنندگان بزرگ سوختهای فسیلی در جهان شناخته میشود و قسمت اعظم سبد انرژیاش سوختهای فسیلی است، در منطقۀ پرتابشی از کرۀ زمین قرار گرفته است که میتواند به منظور تولید انرژی خورشیدی از آن استفاده کند. اولین گام به منظور ایجاد نیروگاههای خورشیدی، مکانیابی علمی و عملیاتی محل احداث آن است. تحقیق حاضر با هدف مکانیابی نیروگاه خورشیدی در استان فارس، به ارائۀ یک رویکرد مبتنی بر سیستم اطلاعات مکانی و تصمیمگیری چندمعیاره پرداخته است. در رویکرد ارائه‌شده، تهیۀ لایههای اطلاعاتی، تحلیلهای فضایی و بصریسازی با استفاده از سیستم اطلاعات مکانی انجام شده است. همچنین، وزن‌دهی و تلفیق معیارها با استفاده از تصمیمگیری چندمعیاره صورت گرفته است. تحقیق حاضر به منظور وزن‌دهی معیارهای مکانیابی، دو روش بهترین‌ـ بدترین و سوارا که در تحقیقات پیشین کمتر مورد استفاده بودهاند، را با هم مقایسه کرده و همچنین از عملگرد میانگین هندسی به منظور تلفیق نتایج آن‌ها استفاده کرده است. براساس نتایج، معیارهای مکانیابی نیروگاه خورشیدی براساس اهمیت به‌ترتیب پتانسیل فتوولتائیک (241/0)، تابش نرمال مستقیم (156/0)، دما (120/0)، بارش (092/0)، فاصله از راهها (089/0)، فاصله از مراکز شهری (085/0)، فاصله از گسلها (066/0) و ارتفاع (054/0) بوده است. نقشههای تناسب اراضی تهیه‌شده نشان داد بیش از 50 درصد مساحت استان فارس از تناسب زیاد و خیلی زیاد جهت احداث نیروگاه خورشیدی برخوردار بوده و مناطق شمالی، شمال شرقی و مرکزی مانند شهرستانهای آباده، خرم بید، پاسارگاد و سرچهان باید در اولویت قرار گیرند. | ||
| کلیدواژه‌ها | ||
| تصمیم گیری چند معیاره؛ روش بهترین-بدترین؛ روش سوارا؛ سیستم اطلاعات مکانی؛ مکانیابی نیروگاه خورشیدی | ||
| عنوان مقاله [English] | ||
| Optimal Site Selection of Solar Power Plant Via Best-Worst Method, SWARA and Geospatial Information System (A Case Study: Fars Province) | ||
| نویسندگان [English] | ||
| Vahidreza Atabati1؛ Mahdi Arabi2 | ||
| 1M.Sc. Student, Department of Geomatics Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran | ||
| 2Associate Professor, Department of Geomatics Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran | ||
| چکیده [English] | ||
| Iran recognized as one of the major fossil fuel producers in the world with a substantial portion of its energy basket reliant on fossil fuels, is situated in a region of the Earth with high solar radiation potential, making it suitable for solar energy production. The first step towards establishing solar power plants is the scientific and operational site selection for their construction. This study aims to identify suitable locations for solar power plants in Fars Province using a Geospatial Information System (GIS) and a multi-criteria decision-making approach. The proposed methodology involves the preparation of informational layers, spatial analyses, and visualizations using GIS. Additionally, criteria weighting and integration were performed using multi-criteria decision-making techniques. The study compares two methods for weighting the location criteria, Best-Worst Method (BWM) and Step-wise Weight Assessment Ratio Analysis (SWARA), which have been less utilized in previous research, and combines their results using geometric mean operator. According to the results, the criteria for solar power plant site selection, ranked by importance, are photovoltaic potential (0.241), direct normal irradiation (0.156), temperature (0.120), precipitation (0.092), distance from roads (0.089), distance from urban centers (0.085), distance from faults (0.066), and elevation (0.054). The land suitability maps indicate that over 50% of the area in Fars Province is highly or very highly suitable for the construction of solar power plants, with the northern, northeastern, and central regions, including the counties of Abadeh, Khorrambid, Pasargad, and Sarchehan, being prioritized. | ||
| کلیدواژه‌ها [English] | ||
| Best-Worst Method(BWM), Geospatial Information System(GIS), Multi-Criteria Decision-Making(MCDM), Solar Power Plant Site Selection, Step-wise Weight Assessment Ratio Analysis(SWARA) | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 413 تعداد دریافت فایل اصل مقاله: 341 |
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