作者: Céline Weber , François Maréchal , Daniel Favrat , Steven Kraines
DOI: 10.1016/J.APPLTHERMALENG.2005.05.031
关键词: Automotive engineering 、 Electricity 、 Solid oxide fuel cell 、 Evolutionary algorithm 、 Simulation 、 Decentralised system 、 Engineering 、 Water cooling 、 Chiller 、 Absorption refrigerator 、 Distributed generation
摘要: Abstract Decentralized energy systems are thought to have great potential for supplying electricity, cooling and heating demands of buildings. A decentralized system combining a solid oxide fuel cell (SOFC) with two absorption-chillers heat-exchanger is proposed. In order minimize the CO 2 -emissions compute associated costs, two-level optimization performed. On first level design parameters optimized using an evolutionary algorithm, on second optimal daily operation linear programming algorithm. The results compared costs typical conventional that obtains base electricity requirements as well electric chiller/heater from central power grid. fully SOFC-based could result in reduction 45% at estimated cost increase about 290% system.