An assessment of the artificial modelling elements approach to the pressure-driven analysis of water distribution networks

Author:

Sivakumar P.1ORCID,Gorev Nikolai B.2,Nivedita S.3,Suribabu C. R.4,Gupta Rajesh5,Tanyimboh Tiku T.6

Affiliation:

1. a Department of Civil Engineering, North Eastern Regional Institute of Science and Technology (Deemed to be Univ.), Nirjuli (Itanagar), Arunachal Pradesh 791109, India

2. b Department for Functional Elements of Control Systems, Institute of Technical Mechanics, National Academy of Sciences of Ukraine, 15 Leshko-Popel St., Dnipro 49005, Ukraine

3. c Department of Civil Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu 625 015, India

4. d Centre for Advanced Research in Environment, School of Civil Engineering, SASTRA Deemed Univ., Thanjavur, Tamil Nadu 613401, India

5. e Department of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharastra 440010, India

6. f School of Civil and Environmental Engineering, University of the Witwatersrand, Johannesburg, Private Bag 3, WITS 2050, South Africa

Abstract

Abstract EPANET 2.2 is a newly introduced upgraded version of EPANET 2 that can be used for both pressure-driven analysis (PDA) and demand-driven analysis (DDA) of water distribution networks. Moreover, it has certain limitations concerning the minimum and required pressure head parameters used for PDA, which leads to inaccurate simulation results. Another limitation of the PDA option of EPANET 2.2 is its inability to simultaneously consider pressure-dependent demands with pressure-independent fire demands. In this article, the reason for the spurious convergence is identified, and it is shown that the spurious convergence of EPANET 2.2 can be addressed by extending the energy balance convergence criterion to include the virtual demand links employed in the EPANET 2.2 formulation of PDA. On the other hand, interest in the methods that use artificial modelling elements in EPANET 2 for PDA is increasing rapidly. The implementation of the method presented in this paper (termed the alternative PDA approach) allows an extended period simulation of large networks with complex demand patterns, multiple tanks, reservoirs, pumps, valves, and thousands of pipes. Two benchmark networks and two real-world networks were analysed by both the alternative PDA approach and EPANET 2.2 and the results were compared.

Publisher

IWA Publishing

Subject

Water Science and Technology

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