Calibrating water distribution system model with hydrant tests
Fragment książki (Rozdział w monografii)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Suchorab Paweł, Kowalski Dariusz |
| Dyscypliny: | |
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| Wersja dokumentu: | Drukowana | Elektroniczna |
| Arkusze wydawnicze: | 0,8 |
| Język: | angielski |
| Strony: | 304 - 314 |
| Bazy: | Google Scholar |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 20 lipca 2020 |
| Abstrakty: | angielski |
| The calibration process is an inherent but also the most challenging part of a proper assembling of water distribution system (WDS) hydraulic model. During its endless continuance, if necessary, the data describing the WDS model is adjusted until model-predicted results reasonably agree with the measured system performance. To ensure its compatibility over a wide range of operating conditions, the calibration process should include not only typical residual flows but also peak demand periods. To obtain data necessary for simulation of high flow conditions, fire hydrant flow tests are commonly used. The additional application of fire-hydrant tests is the possibility of pipe roughness calculation. Among many parameters possible for adjustment (water demands, pump characteristics, etc.), the pipes’ roughness fine-tuning may lead to the satisfactory level of model and system convergence. The aim of this paper is to present the case study of calibrating distribution pipes’ roughness in a highly complex WDS in Poland. The pipe’s roughness calibration was based on two-gage head loss tests, conducted for 5 different pipe segments. The roughness coefficients were calculated in accordance to Prandtl-Kármán and Colebrook-White formulas. The second part of pipe’s roughness calibration was based on simulations in Bentley WaterGEMS using Darwin Calibrator with implemented genetic algorithm (GA). In the following case, the individual adjustment of roughness coefficients was performed for each pressure zone of the WDS, within each the pipes were divided into 5 material groups. The additional hydrant tests were performed in each pressure zone to cause a significant high flow in a zone. As a result, the adjusted roughness coefficients lead to a better convergence between model and WDS, decreasing fitness parameter from 16.75 to 4.23. |
