A systematic procedure to integrate the heat exchanger network considering pressure drops and multiple shells is described.The shell-side pressure drop correlation without resorting to correction factors is developed from the Esso method.The number of shells is calculated by considering the temperature cross in a heat exchanger instead of the designer's choice for the ratio.The network spaghetti design is solved by the optimization of total annual cost with the genetic algorithm.The case study shows that the proposed method can handle more constraints and make the computation more reliable and optimized.
Prediction of heat transfer coefficient of horizontal tube falling film evaporation based on GA-BP neural network
Multi-objective optimization of work and heat exchange networks based on a decomposition algorithm
Distillation column pressure optimization integrated with the heat exchanger network
Multi-objective constrained optimization method for heat exchanger network considering comprehensive economy and entransy
A hybrid swarm intelligence algorithm for simultaneous synthesis of heat exchanger network
Related Author
MA Xinwei
MU Xingsen
LONG Zhu
SHEN Shengqiang
LIN Qucheng
LIAO Zuwei
DUAN Wenting
REN Siyue
Related Institution
College of Energy and Power Engineering, Dalian University of Technology
National Engineering Laboratory for Textile Fiber Materials and Processing Technology, School of Materials Science and Engineering, Zhejiang Sci-Tech University
State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University
School of Chemical Engineering and Technology, Xi’an Jiaotong University
School of Chemical Engineering, China University of Petroleum