Comparative analysis of multicriteria decision-making approaches for evaluation hydrogen projects development from wind energy
Corresponding Author
Seyyed Jalaladdin Hosseini Dehshiri
Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran
Correspondence
Seyyed Jalaladdin Hosseini Dehshiri, Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.
Email: [email protected]
Search for more papers by this authorSeyed Mahmoud Zanjirchi
Department of Industrial Management, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran
Search for more papers by this authorCorresponding Author
Seyyed Jalaladdin Hosseini Dehshiri
Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran
Correspondence
Seyyed Jalaladdin Hosseini Dehshiri, Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.
Email: [email protected]
Search for more papers by this authorSeyed Mahmoud Zanjirchi
Department of Industrial Management, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran
Search for more papers by this authorSummary
Nowadays energy demand has increased due to industrial development and population growth. On the other hand, attention to environmental issues has made it necessary to use renewable energy. The utilization of wind energy is emphasized due to low construction costs and rapid installation. Wind energy, on the other hand, can be stored via creating hydrogen because its power fluctuates at different times and is not uniform. The production of hydrogen and energy is essential to meet the needs of industries in different countries. Therefore, in this study, a comprehensive approach is presented to locating hydrogen production from wind energy using multicriteria decision-making (MCDM). To implement the proposed approach, a case study in Iran and Hormozgan province is used. Hormozgan province is in good condition in terms of wind potential and many industries in this province need energy and hydrogen. The most appropriate factors were judged to be average wind speed, each region's number of refineries, and each region's rate of industrial development, with weights of 0.192, 0.167, and 0.141, respectively, using the stepwise weight assessment ratio analysis (SWARA) approach. The cities in Hormozgan province were then prioritized using the weighted aggregated sum product assessment (WASPAS) technique. Then, the sensitivity analysis of the ranking results was performed and The COmplex PRoportional ASsessment (COPRAS), additive ratio assessment (ARAS), and weighted sum methods (WSM) methodologies were then used to validate the results. For the development of hydrogen projects, Bandar Abbas was determined as the most suitable place. A 900-kW turbine at Bandar Abbas will generate 532 730 kWh of power and 8620 kg of hydrogen annually.
Open Research
DATA AVAILABILITY STATEMENT
Data available on request from the authors
REFERENCES
- 1Li J, Wang G, Li Z, Yang S, Chong WT, Xiang X. A review on development of offshore wind energy conversion system. Int J Energy Res. 2020; 44: 9283-9297.
- 2Moradi S, Yousefi H, Noorollahi Y, Rosso D. Multi-criteria decision support system for wind farm site selection and sensitivity analysis: case study of Alborz Province, Iran. Energy Strategy Rev. 2020; 29:100478.
- 3Ali Y, Butt M, Sabir M, Mumtaz U, Salman A. Selection of suitable site in Pakistan for wind power plant installation using analytic hierarchy process (AHP). J Control Decis. 2018; 5: 117-128.
10.1080/23307706.2017.1346490 Google Scholar
- 4Şen Z, Serencam U. Wind quality designation concept and application. Int J Energy Res. 2021; 45: 18194-18200.
- 5Dhar P, Chakraborty N. A dual mode wind turbine operation with hybrid energy storage system for electricity generation at constant voltage in an islanded microgrid. Int J Energy Res. 2021; 45: 18885-18902.
- 6Ozkan MB, Karagoz P. Reducing the cost of wind resource assessment: using a regional wind power forecasting method for assessment. Int J Energy Res. 2021; 45: 13182-13197.
- 7Ramasamy K, Ravichandran CS. Optimal design of renewable sources of PV/wind/FC generation for power system reliability and cost using MA-RBFNN approach. Int J Energy Res. 2021; 45: 10946-10962.
- 8Rodríguez-Lozano G, Cifuentes-Yate M. Efficiency assessment of electricity generation from renewable and non-renewable energy sources using data envelopment analysis. Int J Energy Res. 2021; 45: 19597-19610.
- 9Nishanthy J, Charles Raja S, Praveen T, Jeslin Drusila Nesamalar J, Venkatesh P. Techno-economic analysis of a hybrid solar wind electric vehicle charging station in highway roads. Int J Energy Res. 2022; 46: 7883-7903. 10.1002/er.7688
- 10Carneiro TC, Ferreira Batista Lima MA, Marques de Carvalho PC, Guimarães Batista J, Fernández-Ramírez LM. Methodology for integration of wind resource forecasts based on artificial neural networks. Int J Energy Res. 2022; 46: 8271-8287. 10.1002/er.7728
- 11Sadorsky P. Wind energy for sustainable development: driving factors and future outlook. J Clean Prod. 2021; 289: 125779.
- 12Díaz-Cuevas P, Biberacher M, Domínguez-Bravo J, Schardinger I. Developing a wind energy potential map on a regional scale using GIS and multi-criteria decision methods: the case of Cadiz (south of Spain). Clean Techn Environ Policy. 2018; 20: 1167-1183.
- 13Saidi M, Li Z, Ben Elghali S, Outbib R. Realization of the optimal sizing of local hybrid photovoltaic and wind energy systems with load scheduling capacity. Int J Energy Res. 2022: 1-15.https://doi.org/10.1002/er.7828
- 14Dehghanimadvar M, Shirmohammadi R, Sadeghzadeh M, Aslani A, Ghasempour R. Hydrogen production technologies: attractiveness and future perspective. Int J Energy Res. 2020; 44: 8233-8254.
- 15Itam Sulaiman NN, Yahya MS, Sazelee N, et al. An investigation on the addition of SrTiO3 to the hydrogen storage properties of the 4MgH2-Li3AlH6 composite. Int J Energy Res. 2022; 46: 8030-8041. 10.1002/er.7704
- 16Mostafaeipour A, Dehshiri SJH, Dehshiri SSH. Ranking locations for producing hydrogen using geothermal energy in Afghanistan. Int J Hydrog Energy. 2020; 45: 15924-15940.
- 17Sazali N. Emerging technologies by hydrogen: a review. Int J Hydrog Energy. 2020; 45: 18753-18771.
- 18Almutairi K, Hosseini Dehshiri SS, Hosseini Dehshiri SJ, Mostafaeipour A, Issakhov A, Techato K. A thorough investigation for development of hydrogen projects from wind energy: a case study. Int J Hydrog Energy. 2021; 46: 18795-18815.
- 19Khojasteh D, Khojasteh D, Kamali R, Beyene A, Iglesias G. Assessment of renewable energy resources in Iran; with a focus on wave and tidal energy. Renew Sust Energ Rev. 2018; 81: 2992-3005.
- 20Qolipour M, Mostafaeipour A, Shamshirband S, Alavi O, Goudarzi H, Petković D. Evaluation of wind power generation potential using a three hybrid approach for households in Ardebil Province, Iran. Energy Convers Manag. 2016; 118: 295-305.
- 21Almutairi K, Hosseini Dehshiri SJ, Hosseini Dehshiri SS, Mostafaeipour A, Hoa AX, Techato K. Determination of optimal renewable energy growth strategies using SWOT analysis, hybrid MCDM methods, and game theory: a case study. Int J Energy Res. 2022; 46: 6766-6789.
- 22Emami L. Feasiblity Study of Electricity Production in Yazd. Iran: Yazd University; 2008.
- 23Almutairi K, Hosseini Dehshiri SS, Hosseini Dehshiri SJ, Mostafaeipour A, Issakhov A, Techato K. Use of a hybrid wind—solar—diesel—battery energy system to power buildings in remote areas: a case study. Sustainability. 2021; 13: 8764.
- 24Almutairi K, Hosseini Dehshiri SJ, Hosseini Dehshiri SS, et al. Blockchain Technology Application Challenges in Renewable Energy Supply Chain Management. Environ Sci Pollut Res. 2022; 1-18. https://doi.org/10.1007/s11356-021-18311-7
- 25Almutairi K, Dehshiri SSH, Mostafaeipour A, Issakhov A, Techato K, Dhanraj JA. Performance optimization of a new flash-binary geothermal cycle for power/hydrogen production with zeotropic fluid. J Therm Anal Calorim. 2021; 1-18: 1633-1650.
- 26Aydin NY, Kentel E, Duzgun S. GIS-based environmental assessment of wind energy systems for spatial planning: a case study from western Turkey. Renew Sust Energ Rev. 2010; 14: 364-373.
- 27Al-Yahyai S, Charabi Y, Gastli A, Al-Badi A. Wind farm land suitability indexing using multi-criteria analysis. Renew Energy. 2012; 44: 80-87.
- 28Effat HA. Spatial modeling of optimum zones for wind farms using remote sensing and geographic information system, application in the Red Sea, Egypt. J Geogr Inf Syst. 2014; 06: 358-374.
- 29Azizi A, Malekmohammadi B, Jafari HR, Nasiri H, Amini PV. Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: case study of Ardabil province, Iran. Environ Monit Assess. 2014; 186: 6695-6709.
- 30Al-Shabeeb AR, Al-Adamat R, Mashagbah A. AHP with GIS for a preliminary site selection of wind turbines in the north west of Jordan. Int J Geosci. 2016; 7: 1208-1221.
10.4236/ijg.2016.710090 Google Scholar
- 31Sánchez-Lozano J, García-Cascales M, Lamata M. GIS-based onshore wind farm site selection using fuzzy multi-criteria decision making methods. Evaluating the case of southeastern Spain. Appl Energy. 2016; 171: 86-102.
- 32Rezaei-Shouroki M, Mostafaeipour A, Qolipour M. Prioritizing of wind farm locations for hydrogen production: a case study. Int J Hydrog Energy. 2017; 42: 9500-9510.
- 33Mostafaeipour A, Arabi F, Qolipour M, Shamshirband S, Alavi O. Optimal location planning to install wind turbines for hydrogen production: a case study. Adv Energy Res. 2017; 5: 147.
- 34Messaoudi D, Settou N, Negrou B, Rahmouni S, Settou B, Mayou I. Site selection methodology for the wind-powered hydrogen refueling station based on AHP-GIS in Adrar, Algeria. Energy Procedia. 2019; 162: 67-76.
10.1016/j.egypro.2019.04.008 Google Scholar
- 35Mostafaeipour A, Qolipour M, Goudarzi H. Feasibility of using wind turbines for renewable hydrogen production in Firuzkuh, Iran. Front Energy. 2019; 13: 494-505.
- 36Bulhões RL, De Santana ES, Santos AÁB. Use of analytic hierarchy process for wind farm installation region prioritization-case study. Energies. 2020; 13:2284.
- 37Mostafaeipour A, Dehshiri SJH, Dehshiri SSH, Jahangiri M. Prioritization of potential locations for harnessing wind energy to produce hydrogen in Afghanistan. Int J Hydrog Energy. 2020; 45: 33169-33184.
- 38Arı ES, Gencer C. The use and comparison of a deterministic, a stochastic, and a hybrid multiple-criteria decision-making method for site selection of wind power plants: an application in Turkey. Wind Eng. 2020; 44: 60-74.
- 39Nazari MA, Assad MEH, Haghighat S, Maleki A. Applying TOPSIS Method for Wind Farm Site Selection in Iran. 2020 Advances in Science and Engineering Technology International Conferences (ASET). UAE: IEEE; 2020: 1-4.
10.1109/ASET48392.2020.9118223 Google Scholar
- 40Mostafaeipour A, Hosseini Dehshiri SS, Hosseini Dehshiri SJ, et al. A thorough analysis of renewable hydrogen projects development in Uzbekistan using MCDM methods. Int J Hydrog Energy. 2021; 46: 31174-31190.
- 41Almutairi K. Determining the appropriate location for renewable hydrogen development using multi-criteria decision-making approaches. Int J Energy Res. 2021; 46: 5876-5895. 10.1002/er.7528
- 42Khorrami F, Shahi M, DavariDolatabadi N, et al. Implementation of regional COVID-19 registry in Hormozgan (RCovidRH), Iran: rationale and study protocol. Med J Islam Repub Iran. 2020; 34: 96.
- 43Dahooie JH, Dehshiri SJH, Banaitis A, Binkytė-Vėlienė A. Identifying and prioritizing cost reduction solutions in the supply chain by integrating value engineering and gray multi-criteria decision-making. Technol Econ Dev Econ. 2020; 26: 1311-1338.
- 44Almutairi K, Hosseini Dehshiri SS, Hosseini Dehshiri SJ, Mostafaeipour A, Jahangiri M, Techato K. Technical, economic, carbon footprint assessment, and prioritizing stations for hydrogen production using wind energy: a case study. Energ Strat Rev. 2021; 36:100684.
- 45Keršuliene V, Zavadskas EK, Turskis Z. Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). J Bus Econ Manag. 2010; 11: 243-258.
- 46Zavadskas E, Turskis Z, Antucheviciene J, Zakarevicius A. Optimization of weighted aggregated sum product assessment. Elektron Elektrotech. 2012; 122: 3-6.
- 47Zavadskas EK, Kaklauskas A, Peldschus F, Turskis Z. Multi-attribute assessment of road design solutions by using the COPRAS method. Balt J Road Bridge Eng. 2007; 2: 195-203.
- 48Zavadskas EK, Turskis Z. A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technol Econ Dev Econ. 2010; 16: 159-172.
- 49Fishburn PC. Letter to the editor—additive utilities with incomplete product sets: application to priorities and assignments. Oper Res. 1967; 15: 537-542.
- 50Hosseini Dehshiri SS. A new application of multi criteria decision making in energy technology in traditional buildings: a case study of Isfahan. Energy. 2022; 240:122814.
- 51 Area of cities in Hormozgan province. 2020. https://karafarini.mcls.gov.ir/icm_content/media/image/2019/03/265758_orig.pdf.
- 52 Population of cities in Hormozgan province. 2016. https://www.amar.org.ir/english/.
- 53 Average wind speed in cities of Hormozgan province. 2020. https://weatherspark.com/.
- 54 Number of universities in Hormozgan province. 2020. https://www.uniref.ir/Province29.html.
- 55 Industrial towns of Hormozgan province. 2020. https://gb.kompass.com/c/industrial-town-of-hormozgan-province/ir081845/.
- 56 Number of refineries in Hormozgan province. 2016. https://karafarini.mcls.gov.ir/icm_content/media/image/2019/03/265758_orig.pdf.
- 57 Main roads in Hormozgan province. 2016. https://karafarini.mcls.gov.ir/icm_content/media/image/2019/03/265758_orig.pdf.
- 58 Rainfall in Hormozgan province. 2020. https://weatherspark.com/.