| 其他摘要 | The steam system is an important part of the iron and steel, petrochemical, and other industrial enterprises; it consumes fuels such as coals, and provides steam, electricity, cooling water and other public works for the entire production process. The safe and stable operation of the steam system is the basic requirement of the safe, stable and long term operation for the whole enterprises. The level of design, operation of equipment and optimal control of the steam system has an important impact on rational use of energy for the enterprises. Studying on the structure, characteristics of the steam system, establishing optimization model of the steam system, and adjusting production plan can reduce energy consumption and bring considerable economic benefits for the enterprise. The steam system is a typical process industry. Scholars generally use integrated mathematical programming and heuristic methods to study the optimization problem of the process industry. Mathematical programming method is an optimization method that based on condition simulation, as long as the model for the steam system is accurate, the solution for the model is reliable, mathematical programming method is very practical for enterprises to optimize. In this paper, the work of the economic optimization of the Steam System is as follows. In this article, I analyze the characteristics of the steam system and sort the equipment of the steam system (including boilers, turbines, temperature and pressure reduction stations, vent valve, etc.) into the auxiliary equipment (common equipment) and process equipment. Then I establish a mixed integer nonlinear programming (MINLP) mathematical model for the steam system according to the structure and condition features of each device. Then represent the relationship among the amount of the steam output, steam consummation and the steam delivery device through simultaneous equations. The objective function of optimization of the system is to fulfill the requirement of the lowest energy consumption costs or the biggest enterprise's economic profit, and to meet equipment load, fuel selection and characteristics, steam and electricity production constraints. In the end, we use of mixed integer nonlinear programming method to solve the optimization problem of the steam system. This paper analyzes the common method for solving mixed integer nonlinear programming model, from the point of view of the mathematical and heuristic algorithm, elaborated o... |
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