A Type-2 Fuzzy-based Multi-criteria Decision-making Method for Sustainable Development of Wind Power Plants in Iran

Aryanfar, A.; Gholami, A.; Pourgholi, M.; Zandi, M. Zandi; Khosravi, A.

doi:10.22044/rera.2021.10909.1058

Document Type : Original Article

Authors

¹ Faculty of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran.

² Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran.

³ Centre for Intelligent Systems Research and Innovation, Deakin University, Deakin, Australia.

https://doi.org/10.22044/rera.2021.10909.1058

Abstract

The current work proposed a novel fuzzy-based multi-criteria decision-making method to assess the development potential of wind power plants in a country. Type-2 fuzzy logic was utilized to investigate the simultaneous effects of several technical criteria such as wind conditions, ambient temperature, and dust activities in a site. Iran was chosen as the case study, considering the various environmental conditions and the lack of thorough investigations in the country. The proposed method could be easily extended to apply to any region. The related technical data for all the 559 Synoptic meteorological stations in the country were collected and used as the inputs for the proposed method. Applying two-step interviews with local experts and reviewing the literature, the leading indicators and their effectiveness were defined. After developing the fuzzy rules and sets, all the sites were scored and ranked using type-2 fuzzy logic in the proposed method. Based on the final standings, priority tables were provided and the top fifty sites for implementing offshore and onshore wind power plants were introduced. Moreover, primary analysis of the collected data indicated that the provinces with high energy consumption and high PM 2.5 levels are in critical environmental conditions. Thus, these provinces need strict attention and planning for sustainable energy supply using renewable energy systems. Based on the results, several recommendations and suggestions were also mentioned to organize investment resources for a more efficient and proper power plant development as well as future studies.

Keywords

Main Subjects

Energy Policy

References

[1] A. Gholami, A. A. Alemrajabi, and A. Saboonchi, "Experimental study of self-cleaning property of titanium dioxide and nanospray coatings in solar applications," Sol. Energy, Vol. 157, pp. 559–565, Nov. 2017.

[2] Y. Gholami, A. Gholami, M. Ameri, and M. Zandi, "Investigation of Applied Methods of Using Passive Energy In Iranian Traditional Urban Design, Case Study of Kashan," in 4th International Conference on Advances In Mechanical Engineering: ICAME 2018, 2018, pp. 3–12.

[3] A. Gholami, M. Ameri, M. Zandi, and R. Gavagsaz-Ghoachani, "Dust Accumulation on Photovoltaic Modules: A Review on the Effective Parameters," Sigma J. Eng. Nat. Sci., Vol. 39, No. 1, pp. 45–57, 2021.

[4] E. Akrami, I. Khazaee, and A. Gholami, "Comprehensive analysis of a multi-generation energy system by using an energy-exergy methodology for hot water, cooling, power and hydrogen production," Appl. Therm. Eng., Vol. 129, pp. 995–1001, Oct. 2018.

[5] E. Akrami, A. Gholami, M. Ameri, and M. Zandi, "Integrated an innovative energy system assessment by assisting solar energy for day and night time power generation: Exergetic and Exergo-economic investigation," Energy Convers. Manag., Vol. 175, pp. 21–32, Nov. 2018.

[6] S. Eslami, A. Gholami, A. Bakhtiari, M. Zandi, and Y. Noorollahi, "Experimental investigation of a multi-generation energy system for a nearly zero-energy park: A solution toward sustainable future," Energy Convers. Manag., Vol. 200, No. May, p. 112107, Nov. 2019.

[7] S. Eslami, A. Gholami, H. Akhbari, M. Zandi, and Y. Noorollahi, "Solar-based multi-generation hybrid energy system; simulation and experimental study," Int. J. Ambient Energy, pp. 1–13, Jul. 2020.

[8] A. Gholami, S. Eslami, A. Tajik, M. Ameri, R. Gavagsaz Ghoachani, and M. Zandi, "A review of dust removal methods from the surface of photovoltaic panels," Mech. Eng. Sharif J., Vol. 35, No. 2, pp. 117–127, Dec. 2019.

[9] A. Gholami, M. Ameri, M. Zandi, and R. Gavagsaz-Ghoachani, "Dust Accumulation on Photovoltaic Modules: A Review on the Effective Parameters," in 5th International Conference on Advances in Mechanical Engineering: ICAME 2019, 2019, no. December, pp. 1–11.

[10] L.C. Rodman and R.K. Meentemeyer, "A geographic analysis of wind turbine placement in Northern California," Energy Policy, Vol. 34, No. 15, pp. 2137–2149, Oct. 2006.

[11] A. Aryanfar, A. Gholami, M. Pourgholi, and M. Zandi, "Multi-criteria wind potential assessment using fuzzy logic in decision-making: A case study of Iran," Wind Energy, no. February, p. we.2640, May 2021.

[12] J. S. Hosking et al., "Changes in European wind energy generation potential within a 1.5 ^°C warmer world," Environ. Res. Lett., Vol. 13, No. 5, p. 054032, May 2018.

[13] W. Han, J. Kim, and B. Kim, "Effects of contamination and erosion at the leading edge of blade tip airfoils on the annual energy production of wind turbines," Renew. Energy, Vol. 115, pp. 817–823, Jan. 2018.

[14] A. Gholami, A. Saboonchi, and A. A. Alemrajabi, "Experimental study of factors affecting dust accumulation and their effects on the transmission coefficient of glass for solar applications," Renew. Energy, Vol. 112, pp. 466–473, Nov. 2017.

[15] A. Gholami et al., "A Review of the Effect of Dust on the Performance of Photovoltaic Panels," Iran. Electr. Ind. J. Qual. Product., Vol. 8, No. 15, pp. 93–102, 2019.

[16] A. Gholami, I. Khazaee, S. Eslami, M. Zandi, and E. Akrami, "Experimental investigation of dust deposition effects on photo-voltaic output performance," Sol. Energy, Vol. 159, pp. 346–352, 2018.

[17] A. Gholami, M. Ameri, M. Zandi, R.G. Ghoachani, S. Eslami, and S. Pierfederici, "Photovoltaic Potential Assessment and Dust Impacts on Photovoltaic Systems in Iran: Review Paper," IEEE J. Photovoltaics, Vol. 10, No. 3, pp. 824–837, May 2020.

[18] A.Z. Dhunny, J.R.S. Doorga, Z. Allam, M.R. Lollchund, and R. Boojhawon, "Identification of optimal wind, solar, and hybrid wind-solar farming sites using fuzzy logic modelling," Energy, Vol. 188, p. 116056, Dec. 2019.

[19] A. Aryanfar, A. Gholami, M. Pourgholi, S. Shahroozi, M. Zandi, and A. Khosravi, "Multi-criteria photovoltaic potential assessment using fuzzy logic in decision-making: A case study of Iran," Sustain. Energy Technol. Assessments, Vol. 42, no. April, p. 100877, Dec. 2020.

[20] M. Pourgholi, "Maximum power point tracking in small wind turbine with permanent magnet generator using voltage sensor," in 2019 Iranian Conference on Renewable Energy and Distributed Generation (ICREDG), 2019, pp. 1–5.

[21] İ. Kaya, M. Çolak, and F. Terzi, "A comprehensive review of fuzzy multi-criteria decision-making methodologies for energy policy making," Energy Strateg. Rev., Vol. 24, No. March, pp. 207–228, Apr. 2019.

[22] F. Taghavi, E. Owlad, and S.A. Ackerman, "Enhancement and identification of dust events in the south-west region of Iran using satellite observations," J. Earth Syst. Sci., Vol. 126, No. 2, p. 28, 2017.

[23] V.K. Sissakian, N. Al-Ansari, and S. Knutsson, “Sand and Dust storm events in Iraq,” Nat Sci, Vol. 5, 2013.

[24] A. Zarasvandi, E.J.M. Carranza, F. Moore, and F. Rastmanesh, "Spatio-temporal occurrences and mineralogical--geochemical characteristics of airborne dusts in Khuzestan Province (southwestern Iran)," J Geochem Explor, Vol. 111, 2011.

[25] A.A. Kazem, M.T. Chaichan, and H.A. Kazem, "Dust effect on photovoltaic utilization in Iraq," Renew. Sustain. Energy Rev., Vol. 37, pp. 734–749, 2014.

[26] C.A. Pope III et al., "Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution," Jama, Vol. 287, No. 9, pp. 1132–1141, 2002.

[27] “United States Environmental Protection Agency | US EPA.” [Online]. Available: https://www.epa.gov/. [Accessed: 26-Oct-2019].

[28] J. M. Mendel, Uncertain Rule-based Fuzzy Systems, 2nd Ed. Cham: Springer International Publishing, 2017.

Renewable Energy Research and Applications

A Type-2 Fuzzy-based Multi-criteria Decision-making Method for Sustainable Development of Wind Power Plants in Iran

References

References

Volume 2, Issue 2
July 2021
Pages 147-155

A Type-2 Fuzzy-based Multi-criteria Decision-making Method for Sustainable Development of Wind Power Plants in Iran

References

References

Volume 2, Issue 2July 2021Pages 147-155

Volume 2, Issue 2
July 2021
Pages 147-155