A New Nodes-Based Model for Optimization of Heat Exchanger Network Synthesis
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https://doi.org/10.1007/s11630-020-1313-3
Article ID: 1003-2169(2020)00-0000-00
A New Nodes-Based Model for Optimization of Heat Exchanger Network Synthesis XU Yue, HERI Ambonisye Kayange, XIAO Yuan, CUI Guomin* School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China © Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract: Searching the global optimal value in heat exchanger network synthesis (HENS) becomes more difficult along with the increasing scale of cases. In structural optimization model, such as stage-wise superstructure, solution domain can be enlarged by adding the stages of network, which would involve multiple integer and continuous variables in optimization and result in a decreasing computational efficiency. Thus, a new nodes-based model with stream splits is proposed, which can promote the quality of result and decrease time consumption at the same time. The characteristic of this model is that it changes the matching mode of heat exchangers by setting the number of nodes on streams to quantify the positions of heat exchangers. The proposed nodes-based model has more flexibility in generating and eliminating the heat exchangers and strong ductility in exploring the solution domain. The random walk with compulsive evolution is modified for enhancing its searching ability and applying modified random walk algorithm with compulsive evolution (RWCE) into the new proposed model. The obtained results of Case 1, Case 2 and Case 3 are superior to those reported in the literature, which decreases 106 USD·a–1, 1253 USD·a–1, 23 444 USD·a–1, respectively, verifying the robust effectiveness of this new model in solving HENS problem.
Keywords: HENS, nodes-based model, stream splits, random walk with compulsive evolution, efficiency
1. Introduction Energy shortage which caused by consumption of fossil fuel in current situation has been paid more attention [1]. Therefore, strengthening the heat transfer is a necessary method to achieve the maximum energy recovery in chemical engineering area. Some papers have proposed methods to enhance heat transfer. Liu [2] enhanced the heat and mass transfer in adsorbent beds through experimental and numerical methods. Issa et al. [3] developed a theoretical model between a stack of parallel plates, which could give a better understanding in heat transfer of design of fins. For improving the thermal performance, Zhang et al. [4] proposed a method Received: Jul 17, 2019
AE: MINEA Alina
to guide the optimization design of cascade heating systems. The heat-exchanger network synthesis (HENS) problem is significantly important for satisfying the energy needs and achieving the maximum energy recovery. Since the HENS problem has been identified as Non-deterministic Polynomial (NP) hardness problem for computational complexity [5], obtaining the optimal HEN is not a trivial task. When tackling the HENS problem, an effective optimization model offer
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