Global optimization of Heat Exchanger Network using the Filled Function Method
In this paper, due to the difficulties of the objective function’s serious non-linear and non-convex characteristics of heat exchanger network’s mixed-integer nonlinear programming problem in global optimization, easily to fall into local minimum solution when optimizing the objective function, use penalty function as the external optimization method, a transformation function-filled function as the kernel optimization method, obtain the global optimization of the heat exchanger network. When optimizing the heat exchanger networks, take the annual total cost as the objective function. The annual total cost include: the annual cost of cold and hot utilities, the heat exchangers, the chillers and the heaters fixed costs as well as the area cost of the heat exchangers the chillers and the heaters. Synchronous optimization the three cost objective and trade-off to find the least expensive of the heat exchanger network. Take a single-parameter filled function as the kernel function, during the kernel optimization process. When:1)the value of the original objective function is less than the current local minimum point 2) the value of the filled function is increasing 3) the value of the filled function access to local minimum point. Jump out of filled function optimization. Take the current optimal point of the filled function as the initial point of the original function to optimize the original function, by repeatedly alternating pairs optimize the original function and filled function we could obtain the global optimal solution.
filled function heat exchanger network global optimization
Xiangbai Hu Guomin Cui weimin Tu
Institute of thermal engineering, University of Shanghai for Science and Technology,Shanghai, China, Institute of thermal engineering,University of Shanghai for Science and Technology,Shanghai, China,2
国际会议
The Ninth Asian Thermophysical Properties Conference(第九届亚洲热物理性能会议 ATPC 2010)
北京
英文
885-889
2010-10-19(万方平台首次上网日期,不代表论文的发表时间)