Multi-dimensional value evaluation for power-to-hydrogen technology based on fuzzy analytic hierarchy process

Autor: Zijiao Han, Yanfeng Ge, Henan Dong, Liang Wang, Tianhe Sun
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Energy Reports, Vol 9, Iss , Pp 478-484 (2023)
Druh dokumentu: article
ISSN: 2352-4847
DOI: 10.1016/j.egyr.2023.03.051
Popis: At present, the large-scale development of renewable energy is restricted by the absorption problem. The electric-hydrogen technology becomes a new flexible resource for coupling electric energy, heat energy and other kinds of energy by absorbing abandoned electricity. The lack of flexibility in a power system with high proportion of intermittent renewables can lead to issues like large-scale curtailment of wind and solar, uneconomic energy system operation; even endanger the security of energy supply. As a new flexible resource, power-to-hydrogen technology has received widespread attention and also requires a comprehensive assessment. The electricity-to-hydrogen technology has become a new flexible resource for coupling electric energy, thermal energy and other energy sources by absorbing and discarding electricity. To this end, this paper proposes a multi-dimensional system value evaluation method for the power-to-hydrogen (P2H) technology, the collaborative planning of large-scale electric-hydrogen resources in the new power system is an important issue in this study. The method, based a fuzzy analytic hierarchy process, delivers a multi-dimensional index that involves a P2H’s flexibility, ability to consume intermittent renewables, economy and environmental value. The system value of P2H and the effectiveness of the proposed algorithm are demonstrated by a use case study. The effects caused by P2H capacity variation are quantified, and an optimal capacity of P2H was found.
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