详细信息
Power generation and heat recovery from biomass with advanced CO2 thermodynamic power cycles: Modelling development and simulation ( EI收录) 被引量:11
文献类型:期刊文献
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] Building Services Engineering, School of the Built Environment and Architecture, London South Bank University, 103 Borough Road, London, SE1 0AA, United Kingdom; [2] College of Mechanical and Power Engineering, Guangdong Ocean University, Guangdong Zhanjiang, 524088, China; [3] Shenzhen Institute, Guangdong Ocean University, Shenzhen, 518120, China
年份:2020
卷号:2020-July
起止页码:608
外文期刊名:Refrigeration Science and Technology
收录:EI(收录号:20210309779895)
语种:英文
外文关键词:IIR filters - Waste heat - Brayton cycle - Simulation platform - Biomass - Refrigeration
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. ? 2020 International Institute of Refrigeration. All rights reserved.
参考文献:
正在载入数据...
