Evaluation of sustainable hydrogen production technologies on an industrial scale using comparative analysis of decision-making methods.

Due to its various advantages in different industrial fields, hydrogen can provide energy based on sustainability goals and recreates a critical function in the economy of countries. In this regard, evaluating hydrogen production technologies on an industrial scale is necessary for industrial development and economic growth. Therefore, this study proposes a comprehensive, integrated framework of hybrid fuzzy decision-making for assessing hydrogen production technologies in Iran. In addition to considering sustainability factors, political, technical, and reliability indicators are also assessed in this research to make a comprehensive assessment. The Fuzzy Step-wise Weight Assessment Ratio Analysis (F-SWARA) technique determines the importance of indicators, and the Fuzzy Weighted Aggregates Sum-Product Assessment (F-WASPAS) approach ranks technologies. The weighing findings indicated that the sub-indices of investment cost, technical infrastructure development, and implementation costs were introduced as the most significant sub-indices with weights of 0.226, 0.151, and 0.126, respectively. The evaluation findings with the F-WASPAS method and comparative analysis with various decision-making methods revealed that electrolysis based on solar energy and electrolysis based on wind energy technologies had the highest preference. In this regard, the infrastructure and costs of hydrogen production can be improved by presenting various incentives, such as improving financial conditions while attracting investment and increasing cooperation with top companies. So, sustainable development, economic growth, and industrial development are provided.

An integrated multi-criteria decision-making framework under uncertainty for evaluating sustainable hydrogen production strategies based on renewable energies in Iran.

Due to population growth and the expansion of different industries, Iran is confronted with the issue of energy and hydrogen generation for various sectors. According to research, Iran has much potential for renewable energy sources such as wind and solar. Renewable energy is critical for meeting the needs of various industries by producing energy and hydrogen. As a result, this study identified and analyzed development plans for hydrogen production from Iran's renewable energies using SWOT analysis and multi-criteria decision-making (MCDM) techniques. The Stepwise Weight Assessment Ratio Analysis (SWARA) approach was used to weigh the criteria and sub-criteria, and power generation cost was identified as the most critical sub-criteria. Then, the identified strategies were ranked using the gray additive ratio assessment (ARAS-Gray) method. Following that, the gray technique for order of preference by similarity to the ideal solution (TOPSIS-G), the gray complex proportional assessment (COPRAS-G), and the gray simple additive weighting (SAW-G) techniques were used to validate the results. The finding revealed that the strategy of cooperation and coordination between energy investing companies and various industries in Iran to develop hydrogen projects at a minimum cost was recognized as the most efficient strategy in all procedures. As a result, with the cooperation and coordination of companies and various industries in Iran, clean energy and fuel can be produced at a low cost using renewable sources. By implementing this strategy, the fluctuations in energy production caused by renewable sources will be eliminated, and the energy and hydrogen requirements of various industries will be met.

Blockchain Technology Application Challenges in Renewable Energy Supply Chain Management.

With the advent of new technologies and globalization of business, supply chains have turned into indispensable tools for gaining competitive advantage. The application of new technologies like blockchain can benefit sustainable energy supply chains by improving chain and logistics operations in the areas of trust, transparency and accountability, cooperation, information sharing, financial exchanges, and supply chain integration. However, the efforts to adopt such technologies in supply chains tend to face many challenges and challenges, which can seriously threaten their success. Therefore, it is crucial to carefully examine the challenges to blockchain technology application. This research focuses on identifying the criteria and challenges to the application of blockchain in renewable energy supply chains and also ranks the identified challenges in terms of their capacity to disrupt the process. The applicability of the suggested structure is examined in a case study of the renewable energy supply chain of Iran. In this study, the challenges are evaluated and ranked by the hybrid developed methods by the integration of the concept of gray numbers into the gray stepwise weight assessment ratio analysis (SWARA-Gray) and the gray evaluation based on distance from average solution (EDAS-Gray). Another group of hybrid methods including the gray weighted sum method (WSM-Gray), the gray complex proportional assessment (COPRAS-Gray), and the gray technique for order of preference by similarity to ideal solution (TOPSIS-Gray) is used to validate the results. The rankings obtained from all of these techniques show high degree of correlation. Among the identified challenges, "high investment cost" is found to be the most important challenge to the application of blockchain in sustainable energy supply chains.