Solving Large-scale process system energy integration problems with mathematical optimization methods
A new method is presented based on “energy utilization consistency and pseudo-temperature in this paper for solving a large scale system energy integration problem which is difficult to solve on the total process system level directly by traditional algorithm. The integration of the process will be treated as enlarged HEN optimization problem. The total annual cost of HEN is regarded as an objective function, and the heat transfer temperature difference contributions of streams are optimization variables. A simultaneous nonlinear programming (NLP) optimization model is constructed on the basis of the pseudo-temperature and the temperature-enthalpy (T-H) diagram method. And a algorithm named genetic algorithm/simulated annealing algorithm (GA/SA) is adopted to solve NLP model. The performance of the proposed approach has been demonstrated with several examples and the obtained results are compared with those available in literatures. Several examples are illustrated to demonstrate the performance of the model and approach for the synthesis of the large-scale process energy integration problem.
Large-scale process energy integration Genetic/simulated annealing algorithm Non-linear programming pseudo-temperature HEN synthesis
Xiao Wu Dong Hongguang Yao Pingjing
School of Chemical Engineering, Dalian University of Technology Zhongshan Road 158 ＃ , Dalian 116012, China
国际会议
第四届中日化工学术研讨会(The 4th Joint China/Japan Chemical Engineering Symposium)(CJCES)
成都
英文
2007-12-19（万方平台首次上网日期，不代表论文的发表时间）