| Author: | Yang, Yichen |
| Title: | Optimizing the operation and performance of water pumps at a pump station |
| Advisors: | Yang, Hong Xing (BSE) |
| Degree: | M.Eng. |
| Year: | 2015 |
| Subject: | Pumping machinery. Pumping stations. Sewage disposal plants. Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Building Services Engineering |
| Pages: | 64 pages : color illustrations |
| Language: | English |
| Abstract: | This dissertation aims to optimize the operation performance of a sewage pumping station in Hong Kong. The solutions of two main problems occurred in the operation of the Harbour Area Treatment Scheme have been investigated, i.e. the sewage overflow and high energy consumption for running the pumps.The Harbour Area Treatment Scheme ("HATS") is a major governmental initiative to improve the water quality in Victoria Harbour, which provides proper collection, treatment and disposal of all wastewater discharged into the Harbour from the urban areas of Kowloon and Hong Kong Island. In this dissertation, the background of the HATS is introduced and the relevant literatures are reviewed at first. It was found that the main problem of this system is that sewage overflow sometimes is out of control when different factors appear, such as unexpected rainfall and behaviors of human beings. In this study, the model of a neural network, especially for BP networks, was applied to forecast the operation performance of the sewage overflow. What is more, the problem of high energy consumption of pumps was also discussed for a solution. In this essay, to boost the operation performance, the target rotational speed was detached on the basis of formulas. Finally, by comparisons, the optimized simulation results and actual operation data were, found and a method is thus proposed. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b28261203.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.03 MB | Adobe PDF | View/Open |
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