Multi-Criteria Examination of Power-to-Gas Pathways under Stochastic Preferences

Sean Walker, Suadd Al-Zakwani, Azadeh Maroufmashat, Michael Fowler and Ali Elkamel
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Sean Walker: Department of Chemical and Biomolecular Engineering, University of South Alabama, Mobile, AL 36688, USA
Suadd Al-Zakwani: Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Azadeh Maroufmashat: Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Michael Fowler: Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Ali Elkamel: Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada

Energies, 2020, vol. 13, issue 12, 1-18

Abstract: Power-to-gas is an energy storage and vector technology which can utilize off-peak power, assist in the integration of renewable power and provide needed fuel for industry and transportation. Further, power-to-gas is a useful technology for balancing surplus baseload and renewable energy generation with demand. There are numerous applications of power-to-gas in Europe, where renewable power is used to generate hydrogen for numerous applications. Examining each of these power-to-gas pathways across quantitative and qualitative criteria, this paper utilizes the stochastic fuzzy analytic hierarchy process to determine criteria weights. These weights are then fed to a multiple criteria decision analysis tool to determine the viability of each pathway for investors and policy makers. A sensitivity analysis is carried out by reprioritizing the criteria and re-evaluating the multiple criteria analysis. The two pathways that score highest under multiple criteria rankings are power-to-gas to mobility-fuel and power-to-gas-to-power, due to their established technologies, lower costs and environmental performance. By extension, both of these power-to-gas pathways are the most appropriate ways for this technology to be implemented, due to their combination of public familiarity, emissions reductions, and developed, available technologies.

Keywords: power-to-gas; energy storage; fuzzy analytic hierarchy process; renewable energy integration; imprecise pairwise comparisons; decision making (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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