Fictitious Component Free - Pressure Deficient Network Algorithm for Water Distribution Network with Variable Minimum and Required Pressure-Heads
The pressure-driven analysis is essential for modelling the pressure deficient condition of water distribution networks. Owing to the complexity, the development of pressure-driven analysis algorithms remains a grey area over the past few decades. As a milestone, EPANET 2.0 got upgraded to EPANET 2....
Saved in:
| Published in | Water resources management Vol. 35; no. 8; pp. 2585 - 2600 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Dordrecht
Springer Netherlands
01.06.2021
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0920-4741 1573-1650 |
| DOI | 10.1007/s11269-021-02852-0 |
Cover
| Summary: | The pressure-driven analysis is essential for modelling the pressure deficient condition of water distribution networks. Owing to the complexity, the development of pressure-driven analysis algorithms remains a grey area over the past few decades. As a milestone, EPANET 2.0 got upgraded to EPANET 2.2 with the inclusion of pressure-driven analysis. However, EPANET 2.2 has a shortcoming of using only a single value for the parameters, minimum pressure-head and required pressure-head of the demand nodes. Ironically, when a water distribution network serves for a wide area or during a fire-fighting period, the demand nodes have variable values for each of these parameters. To address this, a new method named Fictitious Component Free - Pressure Deficient Network Algorithm (FCF-PDNA) is proposed in this paper. The FCF-PDNA does not require any additional fictitious components. It can be used for both steady-state and extended period simulations. The proposed method is applied to water distribution networks of different sizes and types and confirmed that the FCF-PDNA could deal with variable values of minimum and required pressure-head. The suitability of this method for different scenarios that will lead to pressure deficient conditions is also analysed and verified. Moreover, the computational time taken by the FCF-PDNA and the EPANET 2.2 pressure-driven analysis is similar. |
|---|---|
| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 0920-4741 1573-1650 |
| DOI: | 10.1007/s11269-021-02852-0 |