Membrane-based total heat exchanger with cross-corrugated triangular ducts is a new structure, and the changing-section channels in the heat exchanger would make fluid undergo periodic contraction and expansion, which provides an effective approach for strengthening convective heat and mass transfer. Numerous studies proved that the geometric structure have great influence on performance of this type of heat exchanger core, whereas studies about structure optimization considering both thermal irreversibility and economic benefits are rare. In the present study, the total economic return and total entropy generation rate are analyzed as two objective functions simultaneously to evaluate thermal economic and thermal irreversibility performance respectively. A global sensitivity analysis was conducted to select the more sensitive paraments from the six key geometric design parameters: the channel height H, apex angle θ, channel number of each layer on fresh air side n_f, channel number of each layer on exhaust air side n_e, and the total number of plates n_h. They are optimized by the multi-objective particle swarm optimization (MOPSO) algorithm by taking into account entropy generation minimization (EGM) and economic return maximization. The convergence and stability analysis of the algorithm is proposed and the result informs a good application. The optimal geometric design scheme is obtained from the Pareto Set according to the normalization method. A parameters analysis was also conducted to study the influence of geometric parameters on the thermal irreversibility and thermal economy performance of the heat exchanger.

具有交叉波纹三角管的膜基全热交换器是一种新型结构，换热器中的变截面通道使流体发生周期性的收缩和膨胀，为加强对流传热传质提供了有效途径。大量研究证明，几何结构对这类换热器芯的性能影响很大，而兼顾热不可逆性和经济效益的结构优化研究很少。本研究同时将总经济收益和总熵产生率作为两个目标函数进行分析，分别评价热经济性和热不可逆性。H、顶角θ、新风侧每层通道数n _f、排风侧每层通道数n _e、板总数n _h. 它们通过考虑熵生成最小化 (EGM) 和经济回报最大化的多目标粒子群优化 (MOPSO) 算法进行优化。提出了算法的收敛性和稳定性分析，结果表明该算法具有良好的应用价值。根据归一化方法从帕累托集中得到最优几何设计方案。还进行了参数分析，研究了几何参数对换热器热不可逆性和热经济性的影响。