Possibility of establishing the solar panels in the East Azerbaijan province With assessment Incoming radiation and climate parameters
Subject Areas :Shahram Roostaei 1 , Mojtaba Pirnazar 2 , Arash Zandkarimi 3 , Bakhtiar Feizizadeh 4 , Neda Moosavi 5
1 - Professor of Geography and Planning, University of Tabriz
2 - Master Student Remote Sensing, University of Tabriz
3 - Master Remote Sensing, Iranian Space Agency
4 - Assistant Professor Department of Remote Sensing, University of Tabriz
5 - Master Student Remote Sensing, University of Tabriz
Keywords: MCDM, East Azarbaijan, Optimal Location, solar panels,
Abstract :
The present study focused on feasibility assessment of establishing solar panels sites within the East Azerbaijan. The research’s methodology was established based on GIS spatial decision making systems. It should be mentioned that decreasing nonrenewable sources' process has been considered as one of the serious challenges. Thus, using solar energy is a solution to deal with this challenge. The high topoclimatic and physical properties of the East Azerbaijan tends to establish solar panels for producing electricity. In order to evaluate the possibility of establishing solar systems, within this research we aim to apply GIS-multi criteria decision making models for integrating the data and selecting to potential sites for solar panels. To achieve this, the prior options from different options of analyses network model (ANP) was applied for analyzing the criteria. As part of methodology, the Landsat satellite was used for extracting land use/cover. The SRTM dataset also employed for exploring the elevation, slope, aspect and solar shining. The climate dataset were used for monitoring climatological parameters such as raining, temperature, humidity, number of dusty days, number of cloudy days and sunny hours within the period of 1986 to 2014. Finally the solar panel suitability maps achieved by compounding the informative layers and multiplying those criteria were accessed from executing the model. The results indicated that 48.61% of the study area has very high suitability for solar panels programs. While the northern parts of East Azerbaijan province includes very low potentiality for producing solar based energy.
1- اسفندیاری،علی؛ رنگزن،کاظم؛ صابری،عظیم؛ فتاحیمقدم، مهدی (1390). ﭘﺘﺎﻧﺴﯿﻞﺳﻨﺠﯽ احداث ﻧﯿﺮوﮔﺎهﻫﺎی ﺧﻮرﺷﯿﺪی ﺑﺎ ﺑﺮرﺳﯽ ﭘﺎراﻣﺘﺮﻫﺎی اﻗﻠﯿﻤﯽ در اﺳﺘﺎن ﺧﻮزﺳﺘﺎن ﺑﺎ اﺳﺘﻔﺎده از GIS. همایش ژئوماتیک، اردیبهشت1390.
2- اﺷﺮف، محمدعلی؛ ﻧﻮراﻟﻠﻬﻲ، یونس؛ زﻣﺎﻧﻲ، محسن (1390). ﭘﺘﺎﻧﺴﻴﻞ ﺳﻨﺠﻲ اﻧﺮژی ﺑﺎد ﺑﺮق ﻣﻨﻄﻘﻪای ﺑـﺎﺧﺘﺮ ﺑـﺎ اﺳـﺘﻔﺎده از ﺳﻴﺴﺘﻢ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ GIS، ﻧﺸﺮﻳﻪ اﻧﺮژی اﻳﺮان، دوره 14. ﺷﻤﺎره 1: صص 2-22.
3- اﺻﻐﺮﭘﻮر، محمدجواد (1389)، ﺗﺼﻤﻴﻢﮔﻴﺮیﻫﺎی ﭼﻨﺪ ﻣﻌﻴﺎره. ﭼﺎپ ﻫﺸﺘﻢ. اﻧﺘﺸﺎرات داﻧﺸﮕﺎه ﺗﻬﺮان. ﺗﻌﺪاد ﺻﻔﺤﻪ 398.
4- اکرامی، عطیه؛ صادقی، مهدی (1385). ارزیابی اقتصادی توسعه نیروگاه های خورشیدی با توجه به ملاحظات زیست محیطی. علوم و تکنولوژی محیط زیست ، دوره دهم، شماره دو، صص 43-50.
5- ﺣﯿﺪری، مصطفی (1388) ﻣﮑﺎنﯾﺎﺑﯽ ﺳﺎﺧﺖ ﻧﯿﺮوﮔﺎهﻫﺎی ﺧﻮرﺷﯿﺪی در اﯾﺮان، نشریه مبدل گرمایی،شماره 34: صص 38 -49.
6- داداشپور، هاشم؛ خدابخش، حمیدرضا؛ رفیعیان، مجتبی (1391). تحلیل فضایی و مکانیابی مراکز اسکان موقت با استفاده از تلفیق فرآیند تحلیل شبکهای (ANP) و سامانه اطلاعات جغرافیایی (GIS). مجله جغرافیا و مخاطراتمحیطی، شماره اول، بهار 1391، ص 131-111.
7- صادقی، زین العابدین؛ دلالباشی اصفهانی، زهرا؛ حری، حمیدرضا (1392)، اولویتبندی عوامل موثر بر مکانیابی نیروگاههای انرژیهای تجدیدپذیر(انرژی خورشیدی و انرژی باد) استان کرمان با استفاده از سیستم اطلاعات جغرافیایی (GIS) و تکنیکهای تصمیمگیری چند معیاره. مجله پژوهشهای برنامهریزی و سیاستگذاری انرژی سال یکم، شماره 2، تابستان 1392، صص 93-110.
8- ﻋﻠﯿﺰاده، امین؛ ﮐﻤﺎﻟﯽ، غلامعلی؛ ﻣﻮﺳﻮی، فرهاد؛ ﻣﻮﺳـﻮی ﺑـﺎﯾﮕﯽ، محمد (1379)، ﻫـﻮا و اﻗﻠـﯿﻢ ﺷﻨﺎﺳـﯽ، اﻧﺘـﺸﺎرات داﻧﺸﮕﺎه ﻓﺮدوﺳﯽ ﻣﺸﻬﺪ، ﺗﻌﺪاد ﺻﻔﺤﻪ 289.
9- ﻋﻠﯿﺠﺎﻧﯽ، بهلول (1383)، آب و ﻫﻮای اﯾﺮان، اﻧﺘﺸﺎرات داﻧﺸﮕﺎه ﭘﯿﺎم ﻧﻮر، ﺗﻌﺪاد ﺻﻔﺤﻪ 222.
10- فرقانی، علی؛ ساعدپناه، بیژن؛ آخوندی، علیرضا (1392). درآمــدی بــر تــدوین نقشــهی راه نیروگــاه خورشیدی در ایران. دوفصلنامه توسعه تکنولوژی صنعتی شماره بیست و یک. صص: 87-106.
11- گندمکار، امیر؛ رحیمی، اعظم (1393) پتانسیلسنجی احداث نیروگاههای خورشیدی با بررسی پارامترهای اقلیمی در استان اصفهان با استفاده از GIS. اولین کنفرانس بین المللی مهندسی محیط زیست. تهران، مرکز راهکارهای دستیابی به توسعه پایدار.
12- ﻣﻮﻗﺮی، علیرضا؛ ﻃﺎوﺳﯽ، تقی (1392). اﻣﮑﺎنﺳﻨﺠﯽو ﭘﻬﻨﻪﺑﻨﺪی ﻣﮑﺎنﻫﺎی ﻣﺴﺘﻌﺪ ﺟﻬﺖ اﺳﺘﻘﺮار ﭘﻨﻞﻫﺎی خورشیدی با تکیه بر فراسنجهای اقلیمی در استان سیستان و بلوچستان. ﻣﺠﻠﻪ ﭘﮋوﻫﺶﻫﺎی ﺑﺮﻧﺎﻣﻪ رﯾﺰی و ﺳﯿﺎﺳﺘﮕﺬاری اﻧﺮژی. سال یکم. شماره 1: صص 99- 114.
13- یوسفی،حسین؛ ﻧﻮراﻟﻬﻲ، ﻳﻮﻧﺲ؛ ﺳﻠﻄﺎن ﻣﺤﻤﺪی،مجید، ارﺟﻤﻨﺪی،رضا (1391). ﻛﺎرﺑﺮد ﻣﻨﻄﻖ ﻓﺎزی و FTOPSIS ﺟﻬﺖ ﻣﻜﺎﻧﻴﺎﺑﻲ ﻧﻴﺮوﮔﺎه ﺧﻮرﺷﻴﺪی ﺑﺎ اﺳﺘﻔﺎده از GIS (ﻣﻄﺎﻟﻌﻪ ﻣﻮردی اﺳﺘﺎن ﺗﻬﺮان). نشریه انرژی ایران،دوره 15. شماره چهار.صص 1-24.
14- Azoumah, Y., Ramde. E.W., Tapsoba G., S. Thiam., (2010). Siting guidelines for concentrating solar power plants in the Sahel: Case study of Burkina Faso. Solar Energy, pp: 1545–1553.
15- Benghanem. M., (2011). Optimization of tilt angle for solar panel: Case study for Madinah, Saudi Arabia Applied Energy 88, pp:1427–1433.
16-British Petrol Company. Statistical review of world energy; June 2011. <http://www.bp.com/assets/bp
17- Broesamle. H., Mannstein. H., Schillings. C., Trieb. F., (2001). Assessment of solar electricity potentials in North Africa based on satellite dataand a geographic information system. Solar Energy 70 (1), pp: 1–12.
18- Chen, Y., Khan, S., and Paydar. Z., (2007). Irrigation intensification or extensification assessmentusing spatial modeling in GIS. Modelling and Simulation Society of Australia and NewZealand, pp: 1321–1327.
19- Chung-Ling, C.J., (2009). Concentrating Solar Thermal Power: A Viable Alternative in China’s Energy Supply. Master’s Thesis, Lauder Institute, China.
20- Dawson. L., Schlyter. P., (2012). Strategic scale site suitability for concentrated solar thermal power in Western Australia. Energy Policy. pp: 91–101.
21- Drobne. S., and A.Lisec, (2009). Multi-attribute decision analysis in GIS: weighted linear combination and ordered weighted averaging. Informatica, Vol 33, pp: 459–474.
22- Feizizadeh. B., Blaschke. T., (2014). An uncertainty and sensitivity analysis approach for GIS-based multicriteria landslide susceptibility mapping. International Journal of Geographical Information Science. Published online, pp: 1-29.
23- Fluri. T. P., (2009). The potential of concentrating solar power in South Africa. Energy Policy, Vol: 37, 5075–5080.
24- Janke. R. j (2010). Multicriteria GIS modeling of wind and solar farms in Colorado. Renewable Energy, pp: 2228-2234.
25- Jason, J. R., (2010). Multicriteria GIS modeling of wind and solar farms in Colorado, journal homepage: www. elsevier.com /locate/renene, Renewable Energy, Vol: 35, pp: 2228-2234.
26- Jiang. H., and Eastman J.R., (2000). Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographical Information Sciences, Vol: 14, pp: 173–184.
27- Joerin. F., Theriault, M., and Musy, A., (2001). Using GIS and outranking multicriteria analysis forlanduse suitability assessment. International Journal of Geographical Information Science, Vol: 15, pp: 153–174.
28- Hang Q., Jun. Z., Xiao. Y., Junkui, C., (2008). Prospect of concentrating solar power in China–the sustainable future. Renewable and Sustainable Energy Reviews, Vol: 12 (9), pp: 2505–2514.
29- Karnatak. H.C., Saran. S., Bhatia. K., Roy. P. S., (2007). Multicriteria spatial decision analysis in web GIS environment. Geoinformatica, Vol:11, pp: 407–429.
30- Kucuksari. S., Amirreza Khaleghi. M., Hamidi. M., Zhang. Y., Szidarovszky. F., Bayraksan. Guzin., Son.Y.J (2014). An Integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environment. Applied Energy 113, pp: 1601–1613.
31- Muneer. T., (2006), Discourses on solar radiation modeling. Renewable and sustainable energy review, Issuet 4, pp: 551-602.
32- Nazli. Y. A., (2009). GIS Based Site Selection Approach For Wind And Solar Energe Systems: A Case Study From Western Turkey. A Thsis Submited To The Graduated School Of Natural And Applend Scincesof Middeleast Technical University, pp: 1-138.
33- Polo. J., Bernardos. A., Navarro. A.A., Fernandez-Peruchena, C.M., Ramírez. L., Guisado. M. V, Martínez. S (2015). Solar resources and power potential mapping in Vietnam using satellite-derived and GIS-based information. Energy Conversion and Management. pp: 348–358.
34- Ramde. E.W., Azoumah, Y., Rungundu. A., Tapsoba. G (2011). Solar Thermal Power Plants in West Africa: Site selection and potential assessment. Journees Scientifiques Conference. 4 – 8 Avril. Campus 2iE Ouagadougou.
35- Saaty. T. L,. (1999). Fundamentals of the Analytic Network Process, Proceedings of ISAHP 1999, Kobe, Japan.
_||_