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DOE OSTI · 3004301

Marine energy supported multi-energy system planning and operation optimization for sustainable coastal community

Abstract

The growing need for sustainable energy solutions in coastal areas necessitates the development of integrated systems that leverage abundant marine resources. In this study, a standalone Marine Energy Supported Multi-Energy System (MRE-MES) is designed for sustainable coastal community development, utilizing renewable marine resources, including offshore wind, wave, and solar energy, to address the energy needs of electricity, heat, freshwater, and hydrogen. The proposed MRE-MES incorporates a co-optimization model that simultaneously balances capacity planning and operational efficiency to minimize costs and environmental impacts. The system is tested under different renewable energy penetration levels and demand uncertainties, using a two-stage stochastic programming to account for variability in renewable resources and consumption needs. The experimental results indicate that in the optimal system capacity configuration, the percentage of total renewable energy generation is around 80 %, with or without capacity limitation constraints on PV, water tank, and hydrogen storage. Compared to the worst-case scenario in Monte Carlo experiments, two-stage stochastic optimization results in a more robust decision that effectively mitigates the risks posed by future uncertain demand conditions. In conclusion, the findings highlight the viability of marine energy for providing a resilient, comprehensive energy solution to coastal communities.

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BibTeXRIS

Duah, Nana [North Carolina A & T State Univ., Greensboro, NC (United States)] (ORCID:0000000342950429), Chen, Yang [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:000900016235685X), Yadav, Om Prakash [North Carolina A & T State Univ., Greensboro, NC (United States)] (ORCID:0000000273304887), Chen, Jun [Oakland Univ., Rochester, MI (United States)]. 2025-11-07. Marine energy supported multi-energy system planning and operation optimization for sustainable coastal community. https://doi.org/10.1016/j.segan.2025.102046

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