Geography and Regional Planning

Geography and Regional Planning

Potential assessment of the renewable energy development in the southeastern region of Iran using SWOT analysis

Document Type : Original Article

Authors
Vahid Bahrami Foroutan 1
Hosein Jahantigh 2
1 Electrical Engineering Department, Higher Education Complex of Saravan
2 Higher Education Complex of Saravan Saravan, Iran
10.22034/jgeoq.2023.310033.3357
Abstract
A study of the current situation of the energy sector in Sistan and Baluchestan province confirms that the continuation of the current trend can not lead to sustainable development of the province, which will lead to intensification of environmental, economic and social problems. In this paper, information and data obtained from relevant organizations and institutions such as the Ministry of Energy, Meteorological Organization and, Renewable Energy and Energy Eficiency Organization are evaluated and categorized, and then the weighting of various decision-making factors according to priority parameters of the province is accomplished and finally the conclusion has been made using the SWOT analysis. Using such weighting method helps managers and policymakers focus on the most important factors that need immediate attention. In this method, weight coefficients of 0 and 1 are assigned to each point and also in case of possible variables, the assigned values will be from 1 to 3. Using the statistics available in the regional electricity company of the province and also the results of SWOT analytical approach in evaluating the cost and amount of use of fossil energy sources, the possibility of utilizing renewable energy sources in the region is examined and finally practical suggestions and analysis results is presented. The results of this analysis can play an important role in policy-making, decision-making and prioritization of development renewable energy projects in the province.
Keywords
SWOT analysis
potential measurement
renewable energy sources
sustainable development
آزاد، ناصر و محمدی پور، مجتبی و نقدی، بهمن. چالش‌های تجاری سازی محصولات دانش بنیان با تاکید بر بخش بازاریابی و مالی (مورد مطالعه: پارک فناوری دانشگاه تهران). فصلنامـه اقتصاد مالی، شماره 44، پائیز 1397.
رحیمی، محمد و پازند، فاطمه و عبداللهی، علی اصغر. پتانسیل سنجی استقرار نیروگاه‌های خورشیدی در استان سیستان و بلوچستان با استفاده از مدلAHP و منطق فازی، جغرافیا و توسعه زمستان 1396، شماره 49.
کهخا مقدم، پریسا و دلبری، معصومه. ارزیابی امکان بهره گیری از انرژی باد در استان سیستان و بلوچستان، پاییز 1396.
Abdi, S. H., & Afshar, K. (2013). Application of IPSO-Monte Carlo for optimal distributed generation allocation and sizing. International Journal of Electrical Power and Energy Systems, 44(1), 786-797.
Barklund, E., et al. (2008). Energy management in autonomous microgrid using stability-constrained droop control of inverters. IEEE Transactions on Power Electronics, 23(5), 2346-2352.
Basu, K., Bhattacharya, A., Chowdhury, S., & Chowdhury, S. P. (2012). Planned scheduling for economic power sharing in a CHP-based microgrid. IEEE Transactions on Power Systems, 27(1), 30-38.
Basu, K., Bhattacharya, A., Chowdhury, S., & Chowdhury, S. P. (2012). Planned scheduling for economic power sharing in a CHP-based microgrid. IEEE Transactions on Power Systems, 27(1), 30-38.
Chen, G., Chen, Y., & Smedley, K. M. (2004). Three-phase four-leg active power quality conditioner without references calculation. In Proceedings of the Applied Power Electronics Conference (pp. 587-593).
Chen, W. M., Kim, H., & Yamaguchi, H. (2014). Renewable energy in eastern Asia: Renewable energy policy review and comparative SWOT analysis for promoting renewable energy in Japan, South Korea, and Taiwan. Energy Policy, 74, 319-329.
Conti, S., Nicolosi, R., Rizzo, S. A., & Zeineldin, H. H. (2012). Optimal dispatching of distributed generators and storage systems for MV islanded microgrids. IEEE Transactions on Power Delivery, 27(3), 1243-1251.
Cook, N. (2018). Current issues and US relations in brief. Current Politics and Economics of Africa, 11(4), 357-376.
Crawford, G. (2019). Ghana’s fossil-fuel subsidy reform. Retrieved from https://www.ids.ac.uk/files/dmfile/LHcasestudy09-FossilfuelsGhana.pdf
Dess, G. (2018). Strategic Management. McGraw-Hill.
Diaz, G., & Gonzalez-Moran, C. (2012). Fischer-Burmeister-based method for calculating equilibrium points of droop-regulated microgrids. IEEE Transactions on Power Systems, 27(2), 959-967.
Dilettoso, E., Rizzo, S. A., & Salerno, N. (2008). SALHE-EA: A new evolutionary algorithm for multi-objective optimization of electromagnetic devices. In Intelligent Computer Techniques in Applied Electromagnetics (Vol. 119, pp. 37-45).
Farag, H. E., Abdelaziz, M. M. A., & El-Saadany, E. F. (2013). Voltage and reactive power impacts on successful operation of islanded microgrids. IEEE Transactions on Power Systems, 28(2), 1716-1727.
Ferracci, P. (2012). Power quality. Schneider Electric Cahier Technique, No. 199.
Guan, X., Xu, Z., & Jia, Q. (2010). Energy-efficient buildings facilitated by microgrid. IEEE Transactions on Smart Grid, 1(3), 243-252.
Hernandez-Aramburo, T., Green, T. C., & Mugniot, N. (2005). Fuel consumption minimization of a microgrid. IEEE Transactions on Industry Applications, 41(3), 673-681.
Khalesi, N., Rezaei, N., & Haghifam, M. (2011). DG allocation with application of dynamic programming for loss reduction and reliability improvement. International Journal of Electrical Power and Energy Systems, 33(1), 288-295.
Khorramdel, B., & Raoofat, M. (2012). Optimal stochastic reactive power scheduling in a microgrid considering voltage droop scheme of DGs and uncertainty of wind farms. Energy, 45, 994-1006.
Khorramdel, B., & Raoofat, M. (2012). Optimal stochastic reactive power scheduling in a microgrid considering voltage droop scheme of DGs and uncertainty of wind farms. Energy, 45, 994-1006.
Lei, Y., et al. (2019). SWOT analysis for the development of photovoltaic solar power in Africa in comparison with China. Energy, 77, 122-127.
Lin, T., Domijan, A., Jr., & Chu, F. (2012). A survey of techniques for power quality monitoring. International Journal of Power and Energy Systems, 32(2), 167-172.
Mitra, J., Vallem, M. R., & Patra, S. B. (2006). A probabilistic search method for optimal resource deployment in a microgrid. In Proceedings of the 9th International Conference on Probabilistic Methods Applied to Power Systems, Stockholm, Sweden (pp. 1-6).
Nekooei, K., Farsangi, M. M., Nezamabai, H., & Lee, K. Y. (2013). An improved multi-objective harmony search for optimal placement of DGs in distribution systems. IEEE Transactions on Smart Grid, 4(1), 557-567.
Solaun, K., & Cerdá, E. (2019). Climate change impacts on renewable energy generation: A review of quantitative projections. Renewable and Sustainable Energy Reviews, 116, 109415.
Soroudi, A., & Afrasiab, M. (2012). Binary PSO-based dynamic multi-objective model for distributed generation planning under uncertainty. IET Generation, Transmission & Distribution, 6(2), 67-78.
Tan, W. S., Hassan, M. Y., Rahman, H. A., & Abdullah, M. P. (2013). Multi-distributed generation planning using hybrid particle swarm optimization-gravitational search algorithm including voltage rise issue. IET Generation, Transmission & Distribution, 7(9), 929-942.