Dynamic Analysis and Water Demand Model with EPANET in Drinking Water Distribution Systems

Authors

  • Furkan BOZTAŞ Malatya Water and Sewerage Administration, Malatya, Turkey
  • Mahmut FIRAT İnonu University, Faculty of Engineering, Malatya, Turkey

DOI:

https://doi.org/10.38027/ICCAUA2022TR0010

Keywords:

Water Management, Dynamic Model, Water Demand, Hydraulic Analysis

Abstract

Providing long-term water management in distribution systems is very important for sustainable network management. The basic principle in urban water management is to deliver the desired amount and quality water to the subscribers on time. In order to achieve this, the amount of water demanded in the network should be accurately defined. In demand flow, the amount of demand according to network characteristics, leakage rates, population or number of subscribers, authorized unbilled demand flow in the region should be determined accurately. In the event of a fire in the region, the flow rate required for fire intervention must be provided and sufficient pressure must be created. In order to achieve this, a model in which all components are taken into consideration should be developed in the region. Therefore, this study aimed to create and analyze the demand flow and dynamic model in a distribution system with EPANET. For this purpose, an application was carried out for the pilot isolated region in Malatya central distribution system. During the establishment of the model, necessary data, modeling stages and results obtained were detailed. In the dynamic model, demand flow rates and pressures were monitored for different time periods by making fire analysis.

Downloads

Download data is not yet available.

Downloads

Published

2022-05-15

How to Cite

BOZTAŞ, F., & FIRAT, M. (2022). Dynamic Analysis and Water Demand Model with EPANET in Drinking Water Distribution Systems. Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA, 5(1), 984–993. https://doi.org/10.38027/ICCAUA2022TR0010

Most read articles by the same author(s)