Volume 7, Issue 4 (1-2018)                   JEM 2018, 7(4): 42-51 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Akbari M, Bannazadeh E. Optimal Pump Scheduling for Water Distribution Networks Regarding to the Pump Maintenance . JEM. 2018; 7 (4) :42-51
URL: http://energy.kashanu.ac.ir/article-1-892-en.html
University of Kashan
Abstract:  
: In water distribution networks, a significant amount of electricity is used to pump the water into the tanks. Planning and pump schedule could have an important role in energy consumption management and reducing the related cost. The aim of this study is to determine the optimal pump schedule on a 24-hour basis in which aims to minimize the cost of electrical energy, whilst meeting the required time varying consumer with regard to restrictions relating to the minimization of maintenance pumps. For this purpose, the pump schedule optimization problem with pumping water from the wells to the tank is formulated in the form of an Integer Non-Linear Programming model (INLP) and solved by the branch and bound method. In addition to minimizing the energy consumption cost, the model includes a constraint to limit the number of pumps that are switched to reduce the pumps maintenance costs. To illustrate the effectiveness of the model, the water network of Noosh-Abad city in the outskirts of Kashan city is considered as a case study. The results show that the formulated model in this study can meet the both mentioned objectives, so that the outputs of the model compared to the historical operation, both in terms of energy costs and the depreciation of the pumps is in much better situation. In particular, in the case of strict maintenance control, the energy cost is about 15% lower than that of the historical operation.
Type of Study: Research | Subject: management

Add your comments about this article : Your username or Email:
CAPTCHA code

© 2018 All Rights Reserved | Energy Engineering & Management

Designed & Developed by : Yektaweb