The City’s Water Supply Study Of Energy Optimization

As we all know, pump stations’ water distribution is an important part to the urban water supply systems’ normal operation in this city[1]. The systems’ operation needs not only a good energy-saving, but also a stable property. Combinative prediction of municipal water demand based on Artificial Neural Network (ANN), which was very popular in the80s, provided a practical method. Combined with the modern computer optimal scheduling algorithm, we transformed the city’s urban water supply model in to an optimal operation problem. Also with the practical progress in engineering, we worked out a practical method which could solve some widespread problem in urban water supply companies, such as energy wasting, artificially experience scheduling. Also, this method has a good expression in saving human resource, automation and maintainability. Besides, there were some complicated areas which use artificially experience to design project could make use of this method, such as electric dispatching, logistics scheduling, production management, and even manpower dispatching.By introducing the water supply system of the overall model design, detailing the design of the algorithm, and running the various versions of the software algorithm to simulate urban water supply systems to get the effects, it achieved a water supply scheduling to optimize the overall system design. The contents described by this paper were very useful to actual design of the project. Finally, it pointed out the overall design approach is the paper’s main results. The detailed description and the simulation of the software provided a reference for the actual implementation of the project scheduling optimization of water supply.