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] 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

会议论文集：IIR Rankine 2020 International Conference - Advances in Cooling, Heating and Power Generation, Rankine 2020

会议日期：July 27, 2020 - July 31, 2020

会议地点：Virtual, London, United kingdom

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.