Abstract Inter-plant indirect heat integration via intermediate fluid circuit is an efficient energy-saving and heat recovery method, but traditional optimization methods, such as sequential synthesis, may not provide the best solutions. This paper addresses a multi-plant indirect heat exchanger network problem using a two-layer simultaneous synthesis method. To reduce the nonlinear constraints in the simultaneous heat exchanger network model, the outer layer uses a differential evolution algorithm to determine the temperatures of the intermediate fluid, while the inner layer uses a deterministic method to obtain the heat capacity flow rate of the intermediate fluid and the heat exchanger network configuration. Optimization was performed to minimize the total annualized cost, as the sum of utility cost, heat exchanger cost, pump cost, and pipe cost. The differential evolution algorithm in the outer layer improved the simultaneous synthesis efficiency in the inner MINLP model and also provided better results in the case studies.

中文翻译：

---

基于差分进化算法的厂间间接换热网络建模与优化

摘要 通过中间流体回路的厂间间接热集成是一种高效的节能和热回收方法，但传统的优化方法，如顺序合成，可能无法提供最佳解决方案。本文使用两层同时合成方法解决了多工厂间接换热器网络问题。为减少同步换热网络模型中的非线性约束，外层采用差分演化算法确定中间流体的温度，而内层采用确定性方法获得中间流体的热容流量和换热器网络配置。执行优化以最小化年度总成本，如公用事业成本、热交换器成本、泵成本、和管道成本。外层的差分进化算法提高了内层MINLP模型的同步合成效率，在案例研究中也提供了更好的结果。