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提出了基于时间段模型(TSM)综合间歇过程换热器网络的方法,用虚拟温度法代替传统的单一最小传热温差,将各流股的温差贡献值作为决策变量,年度总费用最小作为目标函数建立数学模型。应用遗传膜拟退火算法对上述数学模型进行求解,分别获得每个时间间隔内的子换热器网络结构,并进一步对总换热器网络做结构优化,使其既满足流股的换热要求,又满足年费用最小。方法应用于实例计算,结果比基于最小传热温差获得的换热器网络年度总费用节省6.0%,换热器减少5台,说明这种方法既节省费用,又简化了网络结构。
A method based on TSM is proposed for the network of batch process heat exchangers. The virtual temperature method is used to replace the traditional single minimum heat transfer temperature difference, and the contribution of the temperature difference of each stream is taken as the decision variable with the total annual cost as the minimum Function to create a mathematical model. The genetic model quasi-annealing algorithm is used to solve the above mathematical model to obtain the sub-heat exchanger network structure in each time interval, and to further optimize the total heat exchanger network to meet both the heat transfer requirements , But also to meet the minimum annual fee. The method is applied to the case calculation. The result is 6.0% less than the total annual cost of the heat exchanger network based on the minimum heat transfer temperature difference, and the number of heat exchangers is reduced by 5 units. This shows that this method not only saves costs but also simplifies the network structure.