2021
DOI: 10.1016/j.enconman.2021.114245
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Achieving high-efficiency conversion and poly-generation of cooling, heating, and power based on biomass-fueled SOFC hybrid system: Performance assessment and multi-objective optimization

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Cited by 64 publications
(20 citation statements)
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“…The inlet flow of the SOFC affects the whole system efficiency, which can be deduced from eq where A cell is the SOFC active surface area, N cell is the number of SOFCs, and UFF is the factor of fuel utilization.…”
Section: Description Of the Metal-supported Sofc Modelmentioning
confidence: 99%
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“…The inlet flow of the SOFC affects the whole system efficiency, which can be deduced from eq where A cell is the SOFC active surface area, N cell is the number of SOFCs, and UFF is the factor of fuel utilization.…”
Section: Description Of the Metal-supported Sofc Modelmentioning
confidence: 99%
“…Key Parameters. The inlet flow of the SOFC affects the whole system efficiency, which can be deduced from eq 11 27…”
Section: Description Of the Metal-supported Sofcmentioning
confidence: 99%
“…Carbon will still be the dominant fuel on the Earth in the next decades, and the development of advanced and clean coal utilization technologies is crucial and urgent. Fuel cells, a kind of stable and clean electrochemistry power generators, are regarded as one of the most promising solutions to tackle environmental and energy issues 2,3 . Fuel cells are mainly classified into six types according to their electrolytes 4 .…”
Section: Introductionmentioning
confidence: 99%
“…Fuel cells, a kind of stable and clean electrochemistry power generators, are regarded as one of the most promising solutions to tackle environmental and energy issues. 2,3 Fuel cells are mainly classified into six types according to their electrolytes. 4 Solid oxide fuel cells (SOFCs) stay at the forefront of the research studies owing to their many merits, such as high efficiency, without noble metals and moving parts, and flexibility for various fuels.…”
mentioning
confidence: 99%
“…Furthermore, the classical NSGA-II multiobjective optimization analysis is widely used in chemical process optimization analysis because of its fast-running speed and good convergence of solution sets. The following summarizes some application research examples of multiobjective optimization in chemical processes. For the combined cooling heating and power (CCHP) system, Zhu et al established a compromise between CCHP efficiency, exergy efficiency, and the annual total cost of a CCHP system. The multiobjective optimization showed that the CCHP system could reach the high efficiency of 75%, the low total annual cost of 410 k$, and net electrical efficiency of 52% simultaneously.…”
Section: Introductionmentioning
confidence: 99%