This paper presents the first experimental validation of the network admittance matrix method (NAMM) using experimental data collected from a branched pipeline system during hydraulic transient events. The branched pipeline model is formulated for two model scenarios with different nodal boundary control conditions, namely demand- and pressure-controlled boundary nodes, describing different forms of hydraulic transient excitation for the system. The matrix expressions for these two cases are derived and the effects of these different boundary control conditions, in terms of model structure and simulation accuracy, are investigated. The simulated results are compared with the measured experimental data acquired in the Y-system. The small differences indicate that the admittance matrix method is able to reproduce the experimental data with a good agreement in both the time and frequency domains.
Experimental validation of the admittance matrix method on a Y-system
Caterina Capponi;Marco Ferrante;
2018
Abstract
This paper presents the first experimental validation of the network admittance matrix method (NAMM) using experimental data collected from a branched pipeline system during hydraulic transient events. The branched pipeline model is formulated for two model scenarios with different nodal boundary control conditions, namely demand- and pressure-controlled boundary nodes, describing different forms of hydraulic transient excitation for the system. The matrix expressions for these two cases are derived and the effects of these different boundary control conditions, in terms of model structure and simulation accuracy, are investigated. The simulated results are compared with the measured experimental data acquired in the Y-system. The small differences indicate that the admittance matrix method is able to reproduce the experimental data with a good agreement in both the time and frequency domains.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
