Sustainability analysis of different hydrogen production options using hesitant fuzzy AHP

Acar, Canan; Beşkese, Ahmet; Temur, Gül Tekin

doi:10.1016/j.ijhydene.2018.08.024

Cited by 132 publications

(36 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Since the assessment of hydrogen production processes and the decision-making related to the selection of the most viable processes involve multi-dimensional criteria, MCDA techniques have been widely used in the relevant literature. Acar et al [17] used fuzzy hesitant AHP to conduct the sustainability analysis of various hydrogen production methods including grid electrolysis, photovoltaic (PV) electrolysis, wind electrolysis, solar thermochemical water splitting, nuclear thermochemical water splitting, and photo-electrochemical cells. The selected methods were evaluated based on five criteria, i.e., technical performance, economic performance, environmental performance, social performance, and reliability.…”

Section: Mcda For Hydrogen Selectionmentioning

confidence: 99%

“…Later, Equation (15) was applied to convert fuzzy decision matrix into normalized decision matrix. The normalized decision matrix was then multiplied with FAHP weights to form a weighted decision matrix using Equation (17). Tables 6-8 present fuzzy decision, normalized decision, and weighted decision matrices, respectively.…”

Section: Determine Ultimate Weights Using Ftopsismentioning

confidence: 99%

See 1 more Smart Citation

Economic Viability and Environmental Efficiency Analysis of Hydrogen Production Processes for the Decarbonization of Energy Systems

Wang

Shah

et al. 2019

Processes

View full text Add to dashboard Cite

The widespread penetration of hydrogen in mainstream energy systems requires hydrogen production processes to be economically competent and environmentally efficient. Hydrogen, if produced efficiently, can play a pivotal role in decarbonizing the global energy systems. Therefore, this study develops a framework which evaluates hydrogen production processes and quantifies deficiencies for improvement. The framework integrates slack-based data envelopment analysis (DEA), with fuzzy analytical hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS). The proposed framework is applied to prioritize the most efficient and sustainable hydrogen production in Pakistan. Eleven hydrogen production alternatives were analyzed under five criteria, including capital cost, feedstock cost, O&M cost, hydrogen production, and CO2 emission. FAHP obtained the initial weights of criteria while FTOPSIS determined the ultimate weights of criteria for each alternative. Finally, slack-based DEA computed the efficiency of alternatives. Among the 11, three alternatives (wind electrolysis, PV electrolysis, and biomass gasification) were found to be fully efficient and therefore can be considered as sustainable options for hydrogen production in Pakistan. The rest of the eight alternatives achieved poor efficiency scores and thus are not recommended.

show abstract

Section: Mcda For Hydrogen Selectionmentioning

confidence: 99%

Section: Determine Ultimate Weights Using Ftopsismentioning

confidence: 99%

Economic Viability and Environmental Efficiency Analysis of Hydrogen Production Processes for the Decarbonization of Energy Systems

Wang

Shah

et al. 2019

Processes

View full text Add to dashboard Cite

show abstract

“…Within the analysis, the criteria weights are altered from 0 to 1 by increasing its value 0.1 at a time. When the weight of one criterion is changed, the weights of the remaining three criteria are kept the same proportionally . Figure demonstrates the changings on relative closeness scores, which also refer to the priority of the alternatives.…”

Section: Proposed Modelmentioning

confidence: 99%

“…When the weight of one criterion is changed, the weights of the remaining three criteria are kept the same proportionally. 91 Figure 6 demonstrates the changings on relative closeness scores, which also refer to the priority of the alternatives. As can be noticed from all parts of Figure 6, the decision varies when the weights of the main criteria are changed individually.…”

Section: Sensitivity Analysismentioning

confidence: 99%

A novel multicriteria sustainability investigation of energy storage systems

2019

Self Cite

View full text Add to dashboard Cite

Summary Affordable, clean, efficient, flexible, and reliable energy storage is an important component of sustainable energy systems. There are several studies in the literature concentrating on improving the sustainability performance of energy storage systems from economic and technical perspectives. However, a comprehensive performance investigation of energy storage systems that take economic, environmental, social, and technical criteria into account is still needed. For that reason, in the present study, it is aimed to perform a complete assessment and analysis of the sustainability of energy storage systems for residential applications in communities and cities. Pumped hydro, conventional batteries, high‐temperature batteries, flow batteries, and hydrogen are the selected energy storage systems. In order to handle the vagueness and ambiguity during the assessment and to eliminate the perceived hesitancy in the decision makers' preferences, an innovative method, a hybrid hesitant fuzzy multicriteria decision‐making (MCDM) methodology composed of hesitant fuzzy analytic hierarchy process (HFAHP) and hesitant fuzzy technique for order preference by similarity to ideal solution (HFTOPSIS), is utilized to assess the sustainability of the selected systems. In this study, four different performance criteria: economic (power cost and energy cost), environmental (pollutant emissions, area requirement, wastewater quality, and solid waste production), social (safety, accessibility, ease of use, and public acceptance), and technical (efficiency, storage capacity, cycling limit, and performance degradation) are taken into consideration. The performance evaluation results indicate that technical performance has the highest influence and social performance has the lowest influence when evaluating the sustainability of the selected energy storage systems. And hydrogen has the highest sustainability performance compared with the other selected energy storage options.

show abstract

“…Jia et al established a comprehensive index framework and evaluated the cleaner production in the vanadium extraction industry using the FAHP model [34]. Zhu and Huang used the FAHP model to analyze the production of the fuel ethanol industry in terms of production technology characteristics, resource and energy use, comprehensive use, and pollutant generation [35]. Canan et al evaluated the sustainability of grid electrolysis (electricity from fossil fuels), wind electrolysis, photovoltaic (PV) electrolysis, nuclear thermochemical water splitting cycles, solar thermochemical water splitting cycles, and photoelectrochemical cells using fuzzy AHP [36].…”

Section: Introductionmentioning

confidence: 99%

Clean Power Dispatching of Coal-Fired Power Generation in China Based on the Production Cleanliness Evaluation Method

Song

Shen

2019

Sustainability

View full text Add to dashboard Cite

China’s achievements in climate change and clean energy have been recognized by the international community. Although China has achieved successes in the field of clean energy, especially clean power dispatch, power dispatch is still one-sided and incomplete when considering environmental aspects. This paper presents a comprehensive production cleanliness evaluation model to assign a comprehensive environmental value as a reference for clean power dispatch. The model considers all the pollutants currently regulated in China’s coal-fired power plants, carbon emissions, and sustainability as three basic environmental constraints. Then, emergy analysis is used to unify the input/output materials with different units of measurement, and the emergy-based environmental value added (EEVA) value is constructed. As an integrated environmental value, the EEVA can provide an environmental reference for clean power dispatch. Finally, we selected a representative coal-fired power plant in China as a case study. By applying the above model, the dispatching sequence for four generating units was arranged from the perspective of cleanliness.

show abstract

Sustainability analysis of different hydrogen production options using hesitant fuzzy AHP

Cited by 132 publications

References 58 publications

Economic Viability and Environmental Efficiency Analysis of Hydrogen Production Processes for the Decarbonization of Energy Systems

Economic Viability and Environmental Efficiency Analysis of Hydrogen Production Processes for the Decarbonization of Energy Systems

A novel multicriteria sustainability investigation of energy storage systems

Clean Power Dispatching of Coal-Fired Power Generation in China Based on the Production Cleanliness Evaluation Method

Contact Info

Product

Resources

About