Optimization study of spherical tuyere based on BP neural network and new evaluation index
作者机构:School of Building Services Science and EngineeringXi’an University of Architecture and TechnologyXi’an710055China
出 版 物:《Building Simulation》 (建筑模拟(英文))
年 卷 期:2024年第17卷第2期
页 面:223-234页
核心收录:
学科分类:08[工学] 0807[工学-动力工程及工程热物理] 081404[工学-供热、供燃气、通风及空调工程] 0814[工学-土木工程]
基 金:This research project was sponsored by the National Natural Science Foundation of China General Program(No.52178090 and No.51878533) the Science and Technology New Star Project of Shaanxi Province(No.2020KJXX-013)
主 题:spherical tuyeres STEI CFD ventilation
摘 要:The energy consumption of heating,ventilation,and air conditioning(HVAC)systems holds a significant position in building energy usage,accounting for about 65%of the total energy ***,with the advancement of building automation,the energy consumption of ventilation systems continues to *** study focuses on improving the performance of spherical tuyeres in HVAC *** primarily utilizes neural networks and multi-island genetic algorithms(MIGA)for multi-parameter *** employing methods such as structural parameterization,accurate and fast computational fluid dynamics(CFD)simulations,a minimized sample space,and a rational optimization strategy,the time cycle of the optimization process is ***,a new comprehensive evaluation index is proposed in this research to describe the performance of spherical tuyeres,which can be used to more accurately assess spherical tuyeres with different *** results show that by establishing a neural network prediction model and combining it with the multi-island genetic algorithm,a novel spherical tuyere design was successfully *** optimized novel spherical tuyeres achieved a 27.05%reduction in the spherical tuyeres effective index(STEI)compared to the traditional spherical ***,the resistance decreased by 15.68%,and the jet length increased by 7.57%.The experimental results demonstrate that our proposed optimization method exhibits high accuracy,good generalization capability,and excellent agreement at different Reynolds numbers.