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作 者:党雨萌 周利 党亚固[1] 吉旭[1] 戴一阳 李好[1] DANG Yumeng;ZHOU Li;DANG Yagu;JI Xu;DAI Yiyang;LI Hao(Shool of Chemical Engineering,Sichuan University,Chengdu 610065,China)
出 处:《华东理工大学学报(自然科学版)》2022年第6期758-767,共10页Journal of East China University of Science and Technology
摘 要:换热网络优化是一种有效的能量回收方式。拥有较大换热网络结构寻优空间的模型往往是具有非线性、非凸性的复杂混合整数非线性规划(MINLP)模型,常常难以得到可行解。基于换热网络分级超结构,构建了一个包含流股分流、等温混合、流股回流非等温混合的新型换热网络多级超结构并设置全线性约束条件,这可以在增加换热网络寻优空间的同时大幅提升MINLP模型的可求解性。通过两个文献案例验证流股分流、流股回流及非等温混合对换热网络寻优的贡献,证明了该模型的有效性和适用性。Heat exchanger network optimization is an effective way of energy recovery. However, the model with large optimization space for heat exchanger network is often a complex mixed-integer nonlinear programming(MINLP) model with nonlinear and non-convexity constraints, and difficult to get a feasible solution. Based on the stage-wise superstructure, this paper builds a new type of heat exchanger network containing flow split, reflux and nonisothermal mixing. While increasing the optimization space of heat exchange network, linear constraints are set to greatly improve the solvability of MINLP model. Two cases in literature are used to illustrate the contribution of flow split, reflux, isothermal mixing and non-isothermal mixing to the optimization of heat exchanger network, and verify the effectiveness and applicability of the new model.
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