Abstract
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.
Highlights
Pumping stations (PSs) are fundamental elements in water distribution systems and represent one of the largest components on the water networks operation’s operation budget
In order to show the differences of importance weight of criteria and sub-criteria for a PS design according to the judgment of different group of experts, these results are represented through radial charts
Most of the studies of PSs are focused on optimizing the energy consumption or evaluating the total cost of the cycle of life of the system
Summary
Pumping stations (PSs) are fundamental elements in water distribution systems and represent one of the largest components on the water networks operation’s operation budget. The main mathematical methods applied to solve these problems are: linear programming [3], no lineal programming [4], dynamic programming [5] These pump scheduling problems start from a fixed pump model, and a fixed number of pumps and consist of finding the optimal values of decision variable. In this case, the decision variables are the state of the pumps (on/off) at each time interval to minimize the power consumption of the PS. The decision variables are the state of the pumps (on/off) at each time interval to minimize the power consumption of the PS These methods were used to optimize different types of pumping systems: with one or several pumps, with or without storage tanks. These algorithms could have other decision variables, such as the rotational speed of the pumps in each every time interval [7]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
