摘要
随着工业流体系统可能运行方式的增加,其优化问题将趋于复杂,因此要求有全面而正确的优化数学模型和优化算法。以某钢厂直接冷却水系统1.2 MPa泵区为例,通过建立相关数学模型,采用Lingo优化求解,并用流体系统仿真平台Flowmaster进行数值实验来验证Lingo求解的可行性,最终得运用优化求解器Lingo进行优化求解所得结果是可靠的。此项研究将为自适应控制的实现提供流体自适应优化分配算法,是流体能耗与流场优化分配的核心策略。
With increasing possible operation modes of industrial fluid systems, their optimization problems will tend to be complex, the article introduces comprehensive and correct optimization mathematical model and optimization algorithm. For example, some steel plants have 1.2 MPa direct cooling water pumps area. Through building up relevant mathematical model and applying Lingo optimal solution, fluid system simulation platform Flowmaster carries out numerical experiments to verify the feasibility of Lingo solution. Optimization solver Lingo final solution is solid and correct. This research puts forward fluid systems adaptive optimal allocation algorithm for adaptive control realization, which is core strategy of fluid energy consumption and flow field optimization.
出处
《上海节能》
2016年第3期146-151,共6页
Shanghai Energy Saving
基金
上海市科委科研计划项目(13dz1201700)~~
关键词
典型流体系统
能耗模型
Lingo优化求解
Typical Fluid Systems
Energy Consumption Model
Lingo Optimization Solution
