Refurbishing a pumping station: Peakirk pumping station (a Case Study)

2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Jamie Wesley
Keyword(s):  
Pumping Station

scholarly journals Optimization of Pump Start-Up Depth in Drainage Pumping Station Based on SWMM and PSO

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1002 ◽  
Author(s):  
Hao Wang ◽  
Xiaohui Lei ◽  
Soon-Thiam Khu ◽  
Lixiang Song
Keyword(s):  
Operating Time ◽  
Mathematical Optimization ◽  
Optimization Method ◽  
Storm Water Management Model ◽  
Pumping Station ◽  
Pumping Stations ◽  
Start Up ◽  
Study Results ◽  
Mathematical Optimization Model

The pumps in multistage drainage pumping stations are often subject to frequent start-up and shutoffs during operation because of unreasonable start-up depths of the pumps; this will reduce the service lives of the pumps. To solve this problem, an optimization method for minimizing pump start-up and shutoff times is proposed. In this method, the operation of pumps in pumping station was optimized by constructing a mathematical optimization model. The storm water management model (SWMM) and particle swarm optimization (PSO) method were used to solve the problem and the optimal start-up depth of each pump is obtained. Nine pumping stations in Beijing were selected as a case study and this method was applied for multistage pumping station optimization and single pumping station optimization in the case study. Results from the case study demonstrate that the multistage pumping station optimization acquired a small number of pump start-up/shutoff times, which were from 8 to 114 in different rainfall scenarios. Compared with the multistage pumping station optimization, the single pumping station optimization had a bigger number of pump start-up/shutoff times, which were from 1 to 133 times, and the pump operating time was also longer, from 72 min to 7542 min. Therefore, the multistage pumping station optimization method was more suitable to reduce the frequency of pump start-up/shutoffs.

Application of Pumping Operation Models for a Drainage System

2012 ◽  
Vol 256-259 ◽  
pp. 2416-2419 ◽  
Author(s):  
Chih Chiang Wei
Keyword(s):  
Urban Areas ◽  
Drainage System ◽  
Lag Time ◽  
Water Levels ◽  
Historical Records ◽  
Operation Model ◽  
Pumping Station ◽  
Taipei City ◽  
Rain Events

A pumping operation model has been developed in urban areas caused by the storm runoff. The Chung-Kong pumping station in New Taipei City is used as a case study, where storm and operating records are used to train and verify the model’s performance. Historical records contain information of rainfall amounts, inner water levels, and pump and gate operating records in torrential rain events. The results show that the case with lag time of 15 min gives the better forecasted pumping discharge than other cases. The proposed predicting pumping model successfully addresses the problems of forecasted pumping discharge.

scholarly journals Methodology for Pumping Station Design Based on Analytic Hierarchy Process (AHP)

Water ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 2886
Author(s):  
Christian X. Briceño-León ◽  
Diana S. Sanchez-Ferrer ◽  
Pedro L. Iglesias-Rey ◽  
F. Javier Martinez-Solano ◽  
Daniel Mora-Melia
Keyword(s):  
Analytic Hierarchy Process ◽  
Economic Factors ◽  
Economic Aspects ◽  
Analytic Hierarchy ◽  
Technical Aspects ◽  
Maintenance Costs ◽  
Pumping Station ◽  
Hierarchy Process ◽  
Operational Modes

Pumping station (PS) designs in water networks basically contemplate technical and economic aspects. Technical aspects could be related to the number of pumps in PS and the operational modes of PS. Meanwhile, economic aspects could be related to all the costs that intervene in a PS design, such as investment, operational and maintenance costs. In general, water network designs are usually focused on optimizing operational costs or investment costs, However, some subjective technical aspects have not been approached, such as determining the most suitable pump model, the most suitable number of pumps and the complexity of control system operation in a PS design. Therefore, the present work aims to select the most suitable pump model and determine the priorities that technical and economic factors could have in a PS design by a multi-criteria analysis, such as an analytic hierarchy process (AHP). The proposed work will contemplate two main criteria, and every criterion will be integrated by sub-criteria to design a PS. In this way, technical factors (number of pumps and complexity of the operating system) and economic factors (investment, operational and maintenance costs) will be considered for a PS design. The proposed methodology consists of realizing surveys to a different group of experts that determines the importance of one criterion over each other criterion in a PS design through pairwise comparisons. Finally, this methodology will provide importance weight for the criteria and sub-criteria on the PS. Besides, this work will perform a rating of the considered alternatives of pump models in every case study, evaluating quantitatively every alternative with every criterion in the PS design. The main objective of this work will select the most adequate pump model according to the obtained rating, considering technical and economic aspects in every case study.

scholarly journals Fuzzy optimization in hydrodynamic analysis of groundwater control systems: Case study of the pumping station "Bezdan 1", Serbia

2014 ◽  
pp. 103-110 ◽  
Author(s):  
Dragoljub Bajic ◽  
Dusan Polomcic
Keyword(s):  
Fuzzy Optimization ◽  
Analytic Hierarchy ◽  
Hydrodynamic Analysis ◽  
Pumping Station ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Alternative Solutions ◽  
Selection Of ◽  
Process Method

A groundwater control system was designed to lower the water table and allow the pumping station ?Bezdan 1? to be built. Based on a hydrodynamic analysis that suggested three alternative solutions, multicriteria optimization was applied to select the best alternative. The fuzzy analytic hierarchy process method was used, based on triangular fuzzy numbers. An assessment of the various factors that influenced the selection of the best alternative, as well as fuzzy optimization calculations, yielded the ?weights? of the alternatives and the best alternative was selected for groundwater control at the site of the pumping station ?Bezdan 1?.

scholarly journals Optimization Methodology for Estimating Pump Curves Using SCADA Data

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 586
Author(s):  
Elad Salomons ◽  
Uri Shamir ◽  
Mashor Housh
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Field Tests ◽  
Small Range ◽  
Pumping Station ◽  
Pumping Stations ◽  
Long Time ◽  
Optimization Methodology ◽  
Relationship Of

Water distribution systems (WDSs) deliver water from sources to consumers. These systems are made of hydraulic elements such as reservoirs, tanks, pipes, valves, and pumps. A pump is characterized by curves which define the relationship of the pump’s head gain and efficiency with its flow. For a new pump, the curves are provided by the manufacturer. However, due to its operating history, the performance of a pump deteriorates, and its curves decline at an estimated rate of about 1% per year. Pump curves are key elements for planning and management of WDSs and for monitoring system efficiency, to determine when a pump should be rehabilitated or replaced. In practice, determining pump curves is done by field tests, which are conducted every few years. This leaves the pump’s performance unmonitored for long time periods. Moreover, these tests often cover only a small range of the curves. This study demonstrates that in the era of IoT and big data, the data collected by Supervisory Control And Data Acquisition (SCADA) systems can be used to continuously monitor pumps’ performance and derive updated pump characteristic curves. We present and demonstrate a practical methodology to estimate fixed and variable speed pump curves in pumping stations. The proposed method can estimate individual pump curves even when the measurements are given only for the pumping station as a whole (i.e., total flow, pumping station head gain). The methodology is demonstrated in a real-world case study of a pumping station in southern Israel.

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