Performance analysis and optimization of integrated fuel cell-battery systems for marine applications

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Tezin Türü: Doktora

Tezin Yürütüldüğü Kurum: Dokuz Eylül Üniversitesi, Fen Bilimleri Enstitüsü, Türkiye

Tezin Onay Tarihi: 2023

Tezin Dili: İngilizce

Öğrenci: SÜLEYMAN AYKUT KORKMAZ

Danışman: Kadir Emrah Erginer

Özet:

The shipping industry has been under pressure to reduce its environmental footprint due to increasingly stringent regulations. The "Green Ship" concept, which focuses on zero or low exhaust gas emission propulsion systems, has gained attention in the maritime community. To achieve the objectives, two case-studies are presented in this thesis. In the first case-study, the environmental and economic impacts of using fuel-cell and battery-based hybrid configurations are investigated. Phosphoric acid and molten carbonate fuel cell systems can take the place of the diesel generators on a large tanker to supply the vessel's total electricity demand. Environmental and economic analyses of the utilization of the specified fuel-cell systems with batteries on a large commercial tanker vessel are provided. The results show that the carbon dioxide emissions could be reduced by up to forty-nine-point seventy-five percent, and the lowest electricity production cost is found at zero point one eight one USD per kilowatt hour for current fuel prices with utilization of molten carbonate fuel cells and lithium nickel manganese cobalt oxide battery cells. In the second case-study, the operating parameters of a semi-empirical mathematical model of a proton-exchange membrane fuel-cell (PEMFC) are extracted and compared using various metaheuristic algorithms (MHAs). In this regard, sum-squared error (SSE) is employed as the objective function to find values of seven unknown modeling parameters. As a case study, parameter extraction is carried out utilizing the MHAs for a commercial PEMFC. Three different multi-attribute decision-making methods are used to rank the MHAs. The results showed that MFA had the lowest SSE and shortest run-time, while Grey Wolf Optimizer achieved the highest objective function efficiency.