Some simplification strategy for water distribution network simulation models are presented herein. They are achieved by using the recently developed Enhanced Global Gradient Algorithm (EGGA). EGGA allows to simulate the hydraulic system after removing interior/serial nodes, which are those adjacent to two nodes only, without forfeiting both the energy and the mass balance equations in the system model. Thus, the total number of demand nodes and pipes in the model topology results reduced. Furthermore, EGGA formulation shows clearly that its sensitivity to the uncertainties of the boundary conditions results unchanged with respect to classical GGA. Then, this paper analyses two simplification strategies based on EGGA applying them to a real large size water network. The results show significant computational efficiency gains without sacrificing accuracy of the results.
Simplification strategies for water distribution system modelling / Savic, D. A.; Giustolisi, O. - CD-ROM. - (2011), pp. 4259-4266. (Intervento presentato al convegno 34th World Congress of the International Association for Hydro-Environment Research and Engineering tenutosi a Brisbane, Australia nel June 26 - July 1, 2011).
Simplification strategies for water distribution system modelling
Giustolisi O
2011-01-01
Abstract
Some simplification strategy for water distribution network simulation models are presented herein. They are achieved by using the recently developed Enhanced Global Gradient Algorithm (EGGA). EGGA allows to simulate the hydraulic system after removing interior/serial nodes, which are those adjacent to two nodes only, without forfeiting both the energy and the mass balance equations in the system model. Thus, the total number of demand nodes and pipes in the model topology results reduced. Furthermore, EGGA formulation shows clearly that its sensitivity to the uncertainties of the boundary conditions results unchanged with respect to classical GGA. Then, this paper analyses two simplification strategies based on EGGA applying them to a real large size water network. The results show significant computational efficiency gains without sacrificing accuracy of the results.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
