详细信息
Power Generation and Heat Recovery from Biomass with Advanced CO2 Thermodynamic Power Cycles: Modelling Development and Simulation ( CPCI-S收录 EI收录)
文献类型:会议论文
英文题名:Power Generation and Heat Recovery from Biomass with Advanced CO2 Thermodynamic Power Cycles: Modelling Development and Simulation
作者:Ge, Yunting[1];Zhang, Xinyu[1];Ling, Changming[2,3];Lang, Pingyuan[1]
机构:[1]London South Bank Univ, Sch Built Environm & Architecture, Bldg Serv Engn, 103 Borough Rd, London SE1 0AA, England;[2]Guangdong Ocean Univ, Coll Mech & Power Engn, Zhanjiang 524088, Guangdong, Peoples R China;[3]Guangdong Ocean Univ, Shenzhen Inst, Shenzhen 518120, Peoples R China
会议论文集:IIR Rankine International Conference on Advances on Cooling, Heating and Power Generation
会议日期:JUL 27-31, 2020
会议地点:ELECTR NETWORK
语种:英文
外文关键词:Biomass Power Generation; Test System; CO2 Transcritical Brayton Cycles; Model Development; Model Simulation; Analyses
外文摘要:A small-scale power generation test system with biomass and CO2 transcritical Brayton cycles has been designed and constructed with purposely selected and manufactured system components. These include a biomass boiler, a CO2 supercritical heater, a CO2 turbine simulator, a CO2 recuperator, a CO2 gas cooler and a CO2 transcritical compressor. The designed performance specifications of each component include the biomass flue gases parameters, the heat exchanger UA values and the compressor performance curves. Accordingly, the system component models are developed and therefore integrated together under TRNSYS simulation platform to establish a model for the biomass-CO2 power generation system. The developed system model will be validated by the system performance measurements in the future. At current stage, the system model is applied to predict the system performance at different operation conditions. These consist of heat source and sink temperatures, and turbine inlet and outlet pressures. The simulation results are essential and significant in understanding the system operations prior to the system measurements and can contribute significantly to the optimal system designs, component selections and controls, and eventually instruct the actual system operations.
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