Synthetical Optimization Study Of Clean Circulating Cooling Water System

Around the world, energy is increasing depletion, and the water shortage is more serious today. Saving water and energy has become an important issue in the global industry. It will become the main starting point for system design. Against this background, the circulating cooling water system has become the focus of attention. As one of the most widely used system, the clean circulating cooling water system is the focus of research scholars at home and abroad.In the production practice, the clean circulating cooling water system has been adopted by many factories. However, there are so many unreasonable from system design to operation of the production that resulting in a lot of waste. In the system design, equipment selected and production requirements do not match bring an unnecessary waste of investment. Operating on the device, the unreasonable operating parameters of the device results in a lot of power wasted. For these two issues, this paper establishes a comprehensive optimization model from equipment selection and equipment operating parameters setting. Equipment selection and the parameters configuration of the selected device are synchronized optimized to achieve a minimized annual average cost of the clean circulating cooling water system.This paper analyzes the process of the clean circulating cooling water system and gives the determination principle of that process firstly, then analyzes the working principle of the clean circulating cooling water system equipment, and specifies the decision variable and restriction conditions of the system optimization process, and next establishes the superstructure of process synthesis optimization model about the system based on above determination principle, finally establish a mixed integer nonlinear programming (MINLP) model of the clean circulating cooling water system process based on the superstructure and decision variables.The MINLP model of the clean circulating cooling water system can be regarded as an integration of an inner non-linear programming (NLP) model and an outer portfolio optimization model. Therefore, the paper proposes a two layers nested method on that basis. The algorithm firstly optimizes the portfolio problem of MINLP model though tabu search algorithm, then optimize the NLP problem of MINLP model though SQP algorithm.Finally, the paper compares the optimization results of MINLP model with the actual production economic benefit, the results verify the effectiveness of the method.