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Journal of Intelligent Systems and Internet of Things
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Title

Development of Sustainable assessment Model of solar hydrogen production techniques: An integrated MCDM approach

  Mahmoud Ismail 1 * ,   Shereen Zaki 2 ,   Mahmoud Ibrahim 3

1  Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt
    (mmsabe@zu.edu.eg)

2  Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt
    (SZSoliman@fci.zu.edu.eg)

3  Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt
    (mmsba@zu.edu.eg)


Doi   :   https://doi.org/10.54216/JISIoT.060102

Received: October 01, 2021 Accepted: January 03, 2022

Abstract :

Energy has a critical role in human survival and societal progress. Hydrogen is a possible energy carrier for long-term power generation. Known as both an environmental nuisance and an essential hydrogen source, Hydrogen Sulfide (H2S) may be found in large quantities in the waters of the Black Sea. The primary goal of this research is to determine which breakdown processes, such as thermal, thermochemical, electrochemical, plasma, photochemical and thermal suit sustainability requirements better than others. The most acceptable hydrogen generation technique is chosen based on characteristics such as financial viability, environmental viability, effectiveness, simplicity of the process, energy consumption, safety and dependability, application and operational adaptability, and technological maturity. This paper proposes innovative additions to the CoCoSo approach. The COCOSO method is used to compute the weights of criteria and rank the alternatives. This paper proposed 8 criteria and 5 alternatives.

Keywords :

MCDM; COCOSO; Hydrogen production; Sustainability

References :

[1]E. Işıklı, N. Aydın, L. Bilgili, and A. Toprak, “Estimating fuel consumption in maritime transport,” Journal of Cleaner Production, vol. 275, p. 124142, 2020.

[2]M. Kabak and M. Dağdeviren, “Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology,” Energy conversion and management, vol. 79, pp. 25–33, 2014.

[3]P. Nikolaidis and A. Poullikkas, “A comparative overview of hydrogen production processes,” Renewable and sustainable energy reviews, vol. 67, pp. 597–611, 2017.

[4]B. Yildiz and M. S. Kazimi, “Efficiency of hydrogen production systems using alternative nuclear energy technologies,” International Journal of Hydrogen Energy, vol. 31, no. 1, pp. 77–92, 2006.

[5]M. Marzband, E. Yousefnejad, A. Sumper, and J. L. Domínguez-García, “Real time experimental implementation of optimum energy management system in standalone microgrid by using multi-layer ant colony optimization,” International Journal of Electrical Power & Energy Systems, vol. 75, pp. 265–274, 2016.

[6]W. E. Piers, A. J. V Marwitz, and L. G. Mercier, “Mechanistic aspects of bond activation with perfluoroarylboranes,” Inorganic Chemistry, vol. 50, no. 24, pp. 12252–12262, 2011.

[7]M. Momirlan and T. N. Veziroglu, “Current status of hydrogen energy,” Renewable and sustainable energy reviews, vol. 6, no. 1–2, pp. 141–179, 2002.

[8]P. Fragiacomo and M. Genovese, “Technical-economic analysis of a hydrogen production facility for power-to-gas and hydrogen mobility under different renewable sources in Southern Italy,” Energy Conversion and Management, vol. 223, p. 113332, 2020.

[9]S. Seker and N. Aydin, “Assessment of hydrogen production methods via integrated MCDM approach under uncertainty,” International Journal of Hydrogen Energy, vol. 47, no. 5, pp. 3171–3184, 2022.

[10]S. Yu and Y. Zhou, “Photochemical decomposition of hydrogen sulfide,” Adv. Catal. Mater. Photocatal. Other Curr. Trends, vol. 3, pp. 269–293, 2016.

[11]I. Kaya, M. Colak, and F. Terzi, “A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making,” Energy Strategy Reviews, vol. 24, pp. 207–228, 2019.

[12]J. R. San Cristóbal, “Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method,” Renewable energy, vol. 36, no. 2, pp. 498–502, 2011.

[13]L. Cradden, C. Kalogeri, I. M. Barrios, G. Galanis, D. Ingram, and G. Kallos, “Multi-criteria site selection for offshore renewable energy platforms,” Renewable energy, vol. 87, pp. 791–806, 2016.

[14]A. M. Patel and S. K. Singal, “Optimal component selection of integrated renewable energy system for power generation in stand-alone applications,” Energy, vol. 175, pp. 481–504, 2019.

[15]M. Kumar and C. Samuel, “Selection of best renewable energy source by using VIKOR method,” Technology and Economics of Smart Grids and Sustainable Energy, vol. 2, no. 1, pp. 1–10, 2017.

[16]S. Lee, G. Mogi, S. Lee, and J. Kim, “Prioritizing the weights of hydrogen energy technologies in the sector of the hydrogen economy by using a fuzzy AHP approach,” International Journal of Hydrogen Energy, vol. 36, no. 2, pp. 1897–1902, 2011.

[17]S. A. A. Shah, “Feasibility study of renewable energy sources for developing the hydrogen economy in Pakistan,” International Journal of Hydrogen Energy, vol. 45, no. 32, pp. 15841–15854, 2020.

[18]N. H. Afgan, A. Veziroglu, and M. G. Carvalho, “Multi-criteria evaluation of hydrogen system options,” International Journal of Hydrogen Energy, vol. 32, no. 15, pp. 3183–3193, 2007.

[19]P. A. Pilavachi, S. D. Stephanidis, V. A. Pappas, and N. H. Afgan, “Multi-criteria evaluation of hydrogen and natural gas fuelled power plant technologies,” Applied Thermal Engineering, vol. 29, no. 11–12, pp. 2228–2234, 2009.

[20]A. Manzardo, J. Ren, A. Mazzi, and A. Scipioni, “A grey-based group decision-making methodology for the selection of hydrogen technologies in life cycle sustainability perspective,” International journal of hydrogen energy, vol. 37, no. 23, pp. 17663–17670, 2012.

[21]M. Karatas, “Hydrogen energy storage method selection using fuzzy axiomatic design and analytic hierarchy process,” International Journal of Hydrogen Energy, vol. 45, no. 32, pp. 16227–16238, 2020.

[22]P.-L. Chang, C.-W. Hsu, and P.-C. Chang, “Fuzzy Delphi method for evaluating hydrogen production technologies,” International journal of hydrogen energy, vol. 36, no. 21, pp. 14172–14179, 2011.

[23]P.-L. Chang, C.-W. Hsu, and C.-Y. Lin, “Assessment of hydrogen fuel cell applications using fuzzy multiple-criteria decision making method,” Applied energy, vol. 100, pp. 93–99, 2012.

[24]A. Mostafaeipour and E. Jooyandeh, “Prioritizing the locations for hydrogen production using a hybrid wind-solar system: A case study,” Advances in Energy Research, vol. 5, no. 2, p. 107, 2017.

[25]O. Alavi, A. Mostafaeipour, and M. Qolipour, “Analysis of hydrogen production from wind energy in the southeast of Iran,” International Journal of Hydrogen Energy, vol. 41, no. 34, pp. 15158–15171, 2016.

[26]J. Ren, A. Manzardo, S. Toniolo, and A. Scipioni, “Sustainability of hydrogen supply chain. Part II: Prioritizing and classifying the sustainability of hydrogen supply chains based on the combination of extension theory and AHP,” International journal of hydrogen energy, vol. 38, no. 32, pp. 13845–13855, 2013.

[27]B. Vučijak, T. Kupusović, S. Midžić-Kurtagić, and A. Ćerić, “Applicability of multicriteria decision aid to sustainable hydropower,” Applied Energy, vol. 101, pp. 261–267, 2013.

[28]M. Yazdani, P. Zarate, E. K. Zavadskas, and Z. Turskis, “A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems,” Management Decision, 2018.

[29]F. Ecer, D. Pamucar, S. H. Zolfani, and M. K. Eshkalag, “Sustainability assessment of OPEC countries: Application of a multiple attribute decision making tool,” Journal of Cleaner Production, vol. 241, p. 118324, 2019.

[30]X. Peng, X. Zhang, and Z. Luo, “Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation,” Artificial Intelligence Review, vol. 53, no. 5, pp. 3813–3847, 2020.

[31]S. H. Zolfani, P. Chatterjee, and M. Yazdani, “A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model,” in International scientific conference in business, management and economics engineering. Vilnius, Lithuania, 2019, pp. 797–804.

[32]F. Ecer and D. Pamucar, “Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model,” Journal of Cleaner Production, vol. 266, p. 121981, 2020.

[33]X. Mi and H. Liao, “Renewable energy investments by a combined compromise solution method with stochastic information,” Journal of Cleaner Production, vol. 276, p. 123351, 2020.

[34]A. I. Maghsoodi, S. Soudian, L. Martínez, E. Herrera-Viedma, and E. K. Zavadskas, “A phase change material selection using the interval-valued target-based BWM-CoCoMULTIMOORA approach: A case-study on interior building applications,” Applied Soft Computing, vol. 95, p. 106508, 2020.

[35]M. Yazdani, P. Chatterjee, D. Pamucar, and S. Chakraborty, “Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities,” Expert Systems with Applications, vol. 148, p. 113208, 2020.

[36]X. Peng and H. Huang, “Fuzzy decision making method based on CoCoSo with critic for financial risk evaluation,” Technological and Economic Development of Economy, vol. 26, no. 4, pp. 695–724, 2020.

[37]H. Lai, H. Liao, Z. Wen, E. K. Zavadskas, and A. Al-Barakati, “An improved CoCoSo method with a maximum variance optimization model for cloud service provider selection,” Engineering Economics, vol. 31, no. 4, pp. 411–424, 2020.

[38]A. Ulutaş, C. B. Karakuş, and A. Topal, “Location selection for logistics center with fuzzy SWARA and CoCoSo methods,” Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4693–4709, 2020.

[39]X. Peng and F. Smarandache, “A decision-making framework for China’s rare earth industry security evaluation by neutrosophic soft CoCoSo method,” Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 7571–7585, 2020.

 

 


Cite this Article as :
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MLA Mahmoud Ismail, Shereen Zaki, Mahmoud Ibrahim. "Development of Sustainable assessment Model of solar hydrogen production techniques: An integrated MCDM approach." Journal of Intelligent Systems and Internet of Things, Vol. 6, No. 1, 2022 ,PP. 20-29 (Doi   :  https://doi.org/10.54216/JISIoT.060102)
APA Mahmoud Ismail, Shereen Zaki, Mahmoud Ibrahim. (2022). Development of Sustainable assessment Model of solar hydrogen production techniques: An integrated MCDM approach. Journal of Journal of Intelligent Systems and Internet of Things, 6 ( 1 ), 20-29 (Doi   :  https://doi.org/10.54216/JISIoT.060102)
Chicago Mahmoud Ismail, Shereen Zaki, Mahmoud Ibrahim. "Development of Sustainable assessment Model of solar hydrogen production techniques: An integrated MCDM approach." Journal of Journal of Intelligent Systems and Internet of Things, 6 no. 1 (2022): 20-29 (Doi   :  https://doi.org/10.54216/JISIoT.060102)
Harvard Mahmoud Ismail, Shereen Zaki, Mahmoud Ibrahim. (2022). Development of Sustainable assessment Model of solar hydrogen production techniques: An integrated MCDM approach. Journal of Journal of Intelligent Systems and Internet of Things, 6 ( 1 ), 20-29 (Doi   :  https://doi.org/10.54216/JISIoT.060102)
Vancouver Mahmoud Ismail, Shereen Zaki, Mahmoud Ibrahim. Development of Sustainable assessment Model of solar hydrogen production techniques: An integrated MCDM approach. Journal of Journal of Intelligent Systems and Internet of Things, (2022); 6 ( 1 ): 20-29 (Doi   :  https://doi.org/10.54216/JISIoT.060102)
IEEE Mahmoud Ismail, Shereen Zaki, Mahmoud Ibrahim, Development of Sustainable assessment Model of solar hydrogen production techniques: An integrated MCDM approach, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 6 , No. 1 , (2022) : 20-29 (Doi   :  https://doi.org/10.54216/JISIoT.060102)