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P-graph methodology for cost-effective reduction of carbon emissions involving fuel cell combined cycles

机译:p-graph方法,用于成本效益减少涉及燃料电池组合循环的碳排放量

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Fuel cells (FCs) are important for building combined energy systems due to their high efficiency. Molten Carbonate FCs (MCFC) and Solid Oxide FCs (SOFC) have been identified as best candidates for FC Combined Cycles (FCCC). This paper presents a procedure for evaluating the trends in emission levels and economics of FCCC based energy conversion systems, utilising biomass and/or fossil fuels. This involves significant combinatorial complexity, efficiently handled by the P-graph algorithms. A procedure for the synthesis of cost-optimal FCCC configurations is developed, accounting for the carbon footprint of the technology and fuel options. The results show that such systems employing renewables can be viable for wide range of economic conditions, due to the high energy efficiency of the FC-based systems.
机译:由于其高效率,燃料电池(FCS)对于构建组合能源系统非常重要。 已经将熔融碳酸盐酸FCS(MCFC)和固体氧化物FCS(SOFC)鉴定为FC组合循环(FCCC)的最佳候选者。 本文介绍了利用生物质和/或化石燃料的基于FCCC的能量转换系统的排放水平和经济学趋势的过程。 这涉及显着的组合复杂性,由P-Graph算法有效处理。 开发了一种合成成本最佳FCCC配置的程序,占技术和燃料选择的碳足迹。 结果表明,由于基于FC的系统的高能量效率,这种采用可再生能源的这种系统可用于广泛的经济条件。

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