换热网络多目标综合优化算法研究进展

资源和能源的可持续发展使得换热网络综合不仅要考虑经济性,同时要满足柔性、可靠性、可操作性和环境影响度等指标的要求。目前,换热网络多目标综合的研究有了初步进展并引起了广泛关注。本文阐述了进行换热网络多目标综合的必要性并总结了相关研究。重点对常用的多目标优化算法作了总结和对比,综述了其在换热网络多目标优化设计中的应用进展。研究表明,传统多目标算法越来越无法满足复杂模型的求解,而多目标进化算法可以很好地求解换热网络综合多目标优化问题,其中NSGA-Ⅱ算法是目前应用最广的有效算法。提出尝试NSGA-Ⅱ等多目标进化算法,基于超结构建立包括经济性、柔性、可靠性、可操作性和环境影响度等在内的换热网络多目标综合模型,给出Pareto最优解集合供决策者选择是未来的研究方向。

Research progress on optimization algorithms in multi-objective synthesis of heat exchanger networks

For the sustainable development in resources and energy,the designers should not only consider economy,but also flexibility,reliability,operability and environmental impact in the synthesis of heat exchanger networks(HENs). Multi-objective synthesis of HENs has got preliminary progress and drawn great attention. This paper illustrates the necessity of multi-objective synthesis of HENs and summarizes the research progress on multi-objective synthesis of HENs. The summary and comparison of the algorithms for solving multi-objective optimization problems were mainly focused. Application in multi-objective synthesis of HENs was reviewed. Research shows that traditional multi-objective algorithms are less suitable for solving the problems of complex superstructure. However,multi-objective evolutionary algorithms can solve multi-objective problems better in the synthesis of HENs. Non-dominated sorting genetic algorithm(NSGA-Ⅱ) is one of the most popular and effective applied algorithms. It was proposed that based on superstructure,establishing multi-objective models which involve economy,flexibility,reliability,operability and environmental impact and then present the decision makers with Pareto optimum solutions is the future of HEN synthesis.