Affiliation:
1. Hydraulic and Environmental Engineering Department, Universitát Politécnica de Valencia, 46022 Valencia, Spain
2. Department of Civil Engineering and Architecture, Water Research, Universita di Pavia, 27100 Pavia, Italy
Abstract
A proper pumping station (PS) design should consider multiple criteria, such as technical, economic, and environmental aspects. The analytic hierarchy process (AHP) method can be applied for multi-criteria analysis in this type of engineering design, and it is based on the judgment of a group of experts for the criteria considered. On the other hand, the most common method for PS design is one based solely on economic aspects or life cycle cost (LCC). This paper presents a sensitivity analysis of the impact of the hydraulic conditions of a water distribution network (WDN) on the ultimate solution in two PS design approaches. The first approach was the classic method based on LCC minimization and the second approach was based on multi-criteria analysis by means of AHP accounting for technical, economic, and environmental aspects. In this way, the effects of different meaningful variables for PS design, such as the mean demand, parameters of the setpoint curve, electric tariffs, and interest rates, were evaluated to determine the robustness of the PS solutions obtained. The obtained results of the sensitivity analysis in the case study demonstrated that the PS design based on multiple criteria decision analysis was more reliable and robust than the classic PS design against variations that can occur in a WDN, especially in the mean flow, setpoint curve, and electric tariff. The variations in these parameters of the WDN did not impact the ultimate solutions of the PS design approaches when within the tolerance ranges, but these ranges were wider in the second approach to PS design than in the first approach.
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Reference29 articles.
1. Leiby, V.M., and Burke, M.E. (2011). Energy Efficiency Best Practices for North American Drinking Water Utilities, WRF.
2. Improving energy efficiency in water supply systems with pump scheduling optimization;Luna;J. Clean. Prod.,2019
3. Optimization of Pump Scheduling Program in Water Supply Systems Using a Self-Adaptive NSGA-II; a Review of Theory to Real Application;Makaremi;Water Resour. Manag.,2017
4. Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems;Carpitella;Water Sci. Technol. Water Supply,2019
5. Martin-Candilejo, A., Martin-Carrasco, F.J., and Santillán, D. (2021). How to select the number of active pumps during the operation of a pumping station: The convex hyperbola charts. Water, 13.