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Modeling the energy transition: Multiobjective optimization of green hydrogen deployment strategies

The energy transition is a complex concept that requires progressively addressing various technical, environmental, social, and political issues. Green hydrogen is recognized as a clean fuel to support the energy transition worldwide. This study presents a modeling framework for green hydrogen deployment strategies in the transport and fertilizer sectors on a long-term basis. The mathematical model includes decision variables to account for the amount of hydrogen produced from different energy sources and the importation of fossil-based commodities. Additionally, it incorporates demand-supply and production capacity restrictions in 5-year intervals from the year 2020 to 2050. The case study focuses on the Ecuadorian context, and two deployment strategies are proposed: (i) utilizing surplus renewable energy and (ii) developing local PV capacity. Both strategies positively contributed to adopting more sustainable alternatives; however, Strategy II exhibited superior performance in terms of costs and GHG emissions. Thus, this work provides a framework for designing energy transition strategies and their evaluation to achieve specific renewable and green hydrogen adoption targets over time.
- University of Azuay Ecuador
- Escuela Superior Politécnica del Chimborazo Ecuador
- Escuela Superior Politécnica del Chimborazo Ecuador
- University of Azuay Ecuador
sector coupling, Environmental sciences, energy transition, green hydrogen, GE1-350, optimization
sector coupling, Environmental sciences, energy transition, green hydrogen, GE1-350, optimization
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
