Sattler, Bernhard Jonathan ; Tundis, Andrea ; Friesen, John ; Pelz, Peter F. (2024)
Modeling Water Availability during a Blackout under Consideration of Uncertain Demand Response.
In: Engineering Proceedings, 2024, 69 (1)
doi: 10.26083/tuprints-00028216
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
Water distribution systems (WDSs) need electric power supply to operate their pumps. Long-lasting power outages (blackouts) can disrupt the availability of water for citizens. If the water supply is limited by constrained pumping capacities caused by the blackout, water demand reduction could help preserve this limited supply, while increased water withdrawal, i.e., stockpiling, could deplete it. This study investigates the effects and subsequent uncertainty of demand response, especially stockpiling, on WDSs in a blackout. Therefore, we (i) model residential water demand reduction, regular water demand, and water stockpiling in a blackout, (ii) simulate the effect of the demand response on the WDS of Darmstadt, Germany, and (iii) investigate uncertainty resulting from the demand response and initial states of the WDS at time of the onset of the blackout. The findings indicate that the demand response and initial tank levels are the main sources of uncertainty and that demand-side management bears the potential to improve water service availability during a blackout.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Sattler, Bernhard Jonathan ; Tundis, Andrea ; Friesen, John ; Pelz, Peter F. |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Modeling Water Availability during a Blackout under Consideration of Uncertain Demand Response |
| Sprache: | Englisch |
| Publikationsjahr: | 4 November 2024 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 12 September 2024 |
| Ort der Erstveröffentlichung: | Basel |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Engineering Proceedings |
| Jahrgang/Volume einer Zeitschrift: | 69 |
| (Heft-)Nummer: | 1 |
| Kollation: | 4 Seiten |
| DOI: | 10.26083/tuprints-00028216 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/28216 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (Abstract): | Water distribution systems (WDSs) need electric power supply to operate their pumps. Long-lasting power outages (blackouts) can disrupt the availability of water for citizens. If the water supply is limited by constrained pumping capacities caused by the blackout, water demand reduction could help preserve this limited supply, while increased water withdrawal, i.e., stockpiling, could deplete it. This study investigates the effects and subsequent uncertainty of demand response, especially stockpiling, on WDSs in a blackout. Therefore, we (i) model residential water demand reduction, regular water demand, and water stockpiling in a blackout, (ii) simulate the effect of the demand response on the WDS of Darmstadt, Germany, and (iii) investigate uncertainty resulting from the demand response and initial states of the WDS at time of the onset of the blackout. The findings indicate that the demand response and initial tank levels are the main sources of uncertainty and that demand-side management bears the potential to improve water service availability during a blackout. |
| Freie Schlagworte: | water distribution system, simulation, resilience, demand-side management, WNTR, power outage, critical infrastructure, socio-technical model |
| ID-Nummer: | Artikel-ID: 130 |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-282164 |
| Zusätzliche Informationen: | Presented at the 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), Ferrara, Italy, 1–4 July 2024. This article belongs to the Proceedings of The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024) |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006) |
| Hinterlegungsdatum: | 04 Nov 2024 13:21 |
| Letzte Änderung: | 05 Nov 2024 06:37 |
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| Suche nach Titel in: | TUfind oder in Google |
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