Extending EPANET hydraulic solver capacity with rigid water column global gradient algorithm

Mehmet Melih Koşucu*, Enes Albay, Mehmet Cüneyd Demirel

*Bu çalışma için yazışmadan sorumlu yazar

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3 Atıf (Scopus)

Özet

EPANET is one of the most commonly used open-source programs in hydraulic modelling water distribution networks (WDNs), based on steady-state and extended period simulation approaches. These approaches effectively estimate flow capacity and average pressures in networks; however, EPANET is not yet fully effective in modelling incompressible unsteady flows in WDNs. In this study, the hydraulic solver capacity of EPANET 3 is extended with the Rigid Water Column Global Gradient Algorithm (RWC-GGA) to model incompressible unsteady flow hydraulics in WDNs. Moreover, we incorporated dynamically more accurate valve expressions than the existing ones in the default EPANET code and introduced a new global convergence algorithm, Convergence Tracking Control Method (CTCM), in the solver code. The RWC-GGA, CTCM, and valve expressions are tested and validated in three different WDNs varying from simple to sophisticated set-ups. The results show that incompressible unsteady flows can be modelled with RWC-CGA and dynamic valve representations. Finally, the convergence problem due to the valve motion and the pressure-dependent algorithm (PDA) is solved by the implemented global convergence algorithm, i.e. CTCM.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)31-43
Sayfa sayısı13
DergiJournal of Hydro-Environment Research
Hacim42
DOI'lar
Yayın durumuYayınlandı - May 2022

Bibliyografik not

Publisher Copyright:
© 2022 International Association for Hydro-environment Engineering and Research, Asia Pacific Division

Finansman

The third author (MCD) is supported by the Turkish Scientific and Technical Research Council (TÜBİTAK grant 118C020) and the Istanbul Technical University National Center for High Performance Computing (UHeM) under grant number 1007292019.

FinansörlerFinansör numarası
Turkish Scientific and Technical Research Council118C020
TÜBİTAK
Ulusal Yüksek Başarımlı Hesaplama Merkezi, Istanbul Teknik Üniversitesi1007292019

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