STRATEGIES FOR OVERCOMING UNCERTAINTIES IN HEAT-EXCHANGER NETWORK SYNTHESIS
STRATEGIES FOR OVERCOMING UNCERTAINTIES IN HEAT-EXCHANGER NETWORK SYNTHESIS
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DOI：
10.1016/0098-1354(89)87017-6
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发表时间：
1989-10-01
影响因子：
4.3
通讯作者：
CIRIC, AR
中科院分区：
文献类型：
--
作者：
FLOUDAS, CA;CIRIC, AR
当前的基层换热器网络设计技术涉及三个任务程序：（a）计算最小公用设施消耗； (b) 选择一组满足最低公用设施消耗和最小单位标准的工艺流匹配； (c) 导出最小投资成本的换热器网络配置。本文的第 3 部分将提出一种克服与网络优化任务相关的不确定性的方法，该不确定性是由网络优化问题中的非凸性引起的。提出了一种全局最优搜索方法，将非凸网络优化问题分解为一组代表上界和下界的凸子问题，其解决方案可以导致具有全局最小投资成本的网络配置。当存在多种满足目标标准的匹配组合时，匹配任务的选择会出现不确定性。当存在许多这样的组合时，可能需要穷举枚举来确定最佳组合。第 4 节提出了一种规避这种不确定性的分解方法，该方法基于所提出的包含所有可能的网络配置和流程流匹配的超结构。该超结构用于导出混合整数非线性规划 (MINLP) 公式，该公式对工艺流匹配的选择和换热器网络配置的推导进行建模。提出了一种分解方法，可以有效地得出工艺流匹配和最佳换热器网络配置的最佳组合。
Current grassroot heat exchanger network design techniques involve a three-task procedure: (a) calculation of the minimum utility consumption; (b) selection of a set of process stream matches that satisfy the minimum utility consumption and minimum units criteria; and (c) derivation of a minimum investment cost heat exchanger network configuration.Section 3 of this paper will present an approach for overcoming the uncertainty associated with the network optimization task that arises from the nonconvexities in the network optimization problem. A global optimum search approach is proposed that decomposes the nonconvex network optimization problem into a set of convex subproblems that represent upper and lower bounds and whose solution can lead to the network configuration with the globally minimum investment cost.Uncertainty arises in the selection of matches task when there are many combinations of matches that satisfy the targeting criteria. When there are many such combinations, exhaustive enumeration may be required to determine the optimal combination. Section 4 presents a decomposition methodology circumventing this uncertainty, based upon a proposedhyperstructurethat contains all possible network configurations and process stream matches. This hyperstructure is used to derive a mixed integer nonlinear programming (MINLP) formulation that models both the selection of process stream matches and the derivation of a heat exchanger network configuration. A decomposition approach is proposed that efficiently derives the optimal combination of process stream matches and the optimal heat exchanger network configuration.