Abstract

Pump type selection at a pump station affects not only the hardware investment but also the operating efficiency. The influence of atmospheric temperature on water consumption was not considered in existing studies. This article considers the uncertainty of water consumption caused by temperature as well as the configuration and operation schedule of the pump station under various working conditions. The purpose of the present paper is to achieve the minimum annual investment and operation cost of the pump station. Taking a steel plant as an example, this article analyzes the possible working conditions of cooling water in the plant, establishes the annual minimum cost objective function of the optimal design, and sets the constraint conditions. The decision variables include the selection of overall pump type and optimal operation of the pump station under different working conditions. Finally, the mathematical model of the optimal design of a water supply pump station is given. The results show that when considering the influence of temperature on water consumption, the annual comprehensive cost is reduced, the optimization effect is obvious, and a good practical effect is achieved.

Highlights

  • In recent years, due to the acceleration of industrialization and the increase in industrial water consumption, water resource shortages have been further aggravated

  • The pump selected by this method is more suitable for a certain period of operation of a water supply system or a fixed water supply pump station, but it is not suitable for a complex water supply system, especially when there are both constant speed pumps and speed regulating pumps in the system

  • OPTIMIZATION DESIGN MODEL OF A WATER SUPPLY PUMP STATION The optimal design of a pump station refers to a design that meets the flow and head requirements of the water supply process, considering the overall investment of the pump station as well as the depreciation and maintenance cost and operation loss under different working conditions [14]–[16], The total selection scheme of a pump station and the operation scheme of pumps under different working conditions are given

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Summary

INTRODUCTION

Due to the acceleration of industrialization and the increase in industrial water consumption, water resource shortages have been further aggravated. M. Jia et al.: Optimization Design of Industrial Water Supply Pump Station Considering the Influence of Atmospheric Temperature pump station operation, Pezeshk et al (1994) proposed a method suitable for online control, the ASA (adaptive search algorithm) [5]. Yuan (2000) applied the fuzzy set theory, combined with comprehensive consideration of energy consumption and water quantity, constructed the fuzzy mathematical model of the optimal operation of the water supply pump station, gave the membership function of energy consumption and water quantity, and established the model of real-time control. In [12], Y.Yuan (2013) combined the optimization design of pump station with the characteristics of the ant colony algorithm, took the minimum cost as the objective function, took the total flow as the constraint condition, and used the ant colony search method to solve the model, which proves that the algorithm has high practical value in the optimization design of pump station. The atmospheric temperature is related to water consumption, which has not been considered in the past, so the optimal design scheme is not very suitable for the actual situation, and the operation cost is generally high

OPTIMIZATION DESIGN MODEL OF A WATER SUPPLY PUMP STATION
OBJECTIVE FUNCTION
CONSTRAINT ANALYSIS
TRANSFORMATION OF PARAMETER UNCERTAINTY
ANALYSIS OF OPTIMIZATION PROBLEMS
Findings
CONCLUSION

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