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A mathematical model for optimum design and synthesis of a hybrid electrolyser-fuel cell system: Production of hydrogen and freshwater from seawater

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dc.contributor.author Singh, M
dc.contributor.author Mukoma, Peter
dc.contributor.author North, Brian C
dc.contributor.author Majozi, T
dc.date.accessioned 2020-11-02T10:57:25Z
dc.date.available 2020-11-02T10:57:25Z
dc.date.issued 2020-12
dc.identifier.citation Singh, M. (et.al.). 2020. A mathematical model for optimum design and synthesis of a hybrid electrolyser-fuel cell system: Production of hydrogen and freshwater from seawater. Journal of Cleaner Production, v277, 70pp. en_US
dc.identifier.issn 0959-6526
dc.identifier.issn 1879-1786
dc.identifier.uri https://doi.org/10.1016/j.jclepro.2020.123899
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S0959652620339445
dc.identifier.uri http://hdl.handle.net/10204/11657
dc.description Copyright: 2020 Elsevier. This is the pre-print version of the work. For access to the published version, please visit the publisher's website. en_US
dc.description.abstract Fossil fuels have earned a reputation as unsustainable sources of energy, due to the release of carbon emissions that are attributable to global warming. To overcome the extensive release of carbon emissions into the environment, different approaches are being explored to produce energy, by replacing non-renewable fuels with renewable energy. Additionally, many countries across the world are emerging as water-scarce countries, due to the vulnerability of freshwater supply. This work, therefore, focuses on the design and synthesis of a hybrid electrolyser-fuel cell system to generate hydrogen and freshwater from seawater. The proposed system is designed to be integrated with a background process that requires both power and water. It has the potential to reduce the burden on freshwater sources and carbon footprint of background processes, as well as produce power. A one-dimensional, mathematical model is developed for a continuous hybrid seawater electrolyser-fuel cell system operated at steady state. The model determines the optimal operating conditions in terms of temperature, current density, electrode thickness and humidity, as well as the performance of the system through the activation overpotential, diffusion overpotential, ohmic overpotential and the open-circuit voltage. GAMS/BARON is used to optimise the hybrid system. Furthermore, a techno-economic evaluation is conducted to determine the viability of the system. Results indicate that an overall power conversion efficiency of 41.2 %, and a freshwater recovery rate of 48.2 % is achieved. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Worklist;23726
dc.subject Design en_US
dc.subject Electrolyser en_US
dc.subject Fuel cells en_US
dc.subject Hydrogen en_US
dc.subject Optimisation en_US
dc.subject Synthesis en_US
dc.title A mathematical model for optimum design and synthesis of a hybrid electrolyser-fuel cell system: Production of hydrogen and freshwater from seawater en_US
dc.type Article en_US
dc.identifier.apacitation Singh, M., Mukoma, P., North, B. C., & Majozi, T. (2020). A mathematical model for optimum design and synthesis of a hybrid electrolyser-fuel cell system: Production of hydrogen and freshwater from seawater. http://hdl.handle.net/10204/11657 en_ZA
dc.identifier.chicagocitation Singh, M, Peter Mukoma, Brian C North, and T Majozi "A mathematical model for optimum design and synthesis of a hybrid electrolyser-fuel cell system: Production of hydrogen and freshwater from seawater." (2020) http://hdl.handle.net/10204/11657 en_ZA
dc.identifier.vancouvercitation Singh M, Mukoma P, North BC, Majozi T. A mathematical model for optimum design and synthesis of a hybrid electrolyser-fuel cell system: Production of hydrogen and freshwater from seawater. 2020; http://hdl.handle.net/10204/11657. en_ZA
dc.identifier.ris TY - Article AU - Singh, M AU - Mukoma, Peter AU - North, Brian C AU - Majozi, T AB - Fossil fuels have earned a reputation as unsustainable sources of energy, due to the release of carbon emissions that are attributable to global warming. To overcome the extensive release of carbon emissions into the environment, different approaches are being explored to produce energy, by replacing non-renewable fuels with renewable energy. Additionally, many countries across the world are emerging as water-scarce countries, due to the vulnerability of freshwater supply. This work, therefore, focuses on the design and synthesis of a hybrid electrolyser-fuel cell system to generate hydrogen and freshwater from seawater. The proposed system is designed to be integrated with a background process that requires both power and water. It has the potential to reduce the burden on freshwater sources and carbon footprint of background processes, as well as produce power. A one-dimensional, mathematical model is developed for a continuous hybrid seawater electrolyser-fuel cell system operated at steady state. The model determines the optimal operating conditions in terms of temperature, current density, electrode thickness and humidity, as well as the performance of the system through the activation overpotential, diffusion overpotential, ohmic overpotential and the open-circuit voltage. GAMS/BARON is used to optimise the hybrid system. Furthermore, a techno-economic evaluation is conducted to determine the viability of the system. Results indicate that an overall power conversion efficiency of 41.2 %, and a freshwater recovery rate of 48.2 % is achieved. DA - 2020-12 DB - ResearchSpace DP - CSIR KW - Design KW - Electrolyser KW - Fuel cells KW - Hydrogen KW - Optimisation KW - Synthesis LK - https://researchspace.csir.co.za PY - 2020 SM - 0959-6526 SM - 1879-1786 T1 - A mathematical model for optimum design and synthesis of a hybrid electrolyser-fuel cell system: Production of hydrogen and freshwater from seawater TI - A mathematical model for optimum design and synthesis of a hybrid electrolyser-fuel cell system: Production of hydrogen and freshwater from seawater UR - http://hdl.handle.net/10204/11657 ER - en_ZA


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