Energy Optimization Using a Pump Scheduling Tool in Water Distribution Systems

  • Karwan A. Muhammed (1) Department of Water Resource, College of Engineering, University of Sulaimani, Sulaymaniyah, Kurdistan Region (2) Department of Civil Engineering, College of Engineering, Komar University of Science and Technology, Sulaymaniyah, Kurdistan Region http://orcid.org/0000-0001-8426-1512
  • Raziyeh Farmani Centre for Water Systems, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF http://orcid.org/0000-0001-8148-0488
Keywords: Optimization, Pump scheduling, Water distribution systems

Abstract

Water distribution management system is a costly practice and with the growth of population, the needs for creating more cost-effective solutions are vital. This paper presents a tool for optimization of pump operation in water systems. The pump scheduling tool (PST) is a fully dynamic tool that can handle four different types of fixed speed pump schedule representations (on and off, time control, time-length control, and simple control [water levels in tanks]). The PST has been developed using Visual Basic programming language and has a linkage between the EPANET hydraulic solver with the GANetXL optimization algorithm. It has a user-friendly interface which allows the simulation of water systems based on (1) a hydraulic model (EPANET) input file, (2) an interactive interface which can be modified by the user, and (3) a pump operation schedule generated by the optimization algorithm. It also has the interface of dynamic results which automatically visualizes generated solutions. The capabilities of the PST have been demonstrated by application to two real case studies, Anytown water distribution system (WDS) and Richmond WDS as a real one in the United Kingdom. The results show that PST is able to generate high-quality practical solutions.

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Published
2020-06-30
How to Cite
Muhammed, K. A. and Farmani, R. (2020) “Energy Optimization Using a Pump Scheduling Tool in Water Distribution Systems”, ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 8(1), pp. 112-123. doi: 10.14500/aro.10635.