Ruiz Gómez, E.; Díaz García, S.; González Pérez, J. (2024). TEmporal Scale SIgmoid Curve (TESIC): A tool to characterize short-term demand variability at water supply systems. Editorial Universitat Politècnica de València. https://doi.org/10.4995/WDSA-CCWI2022.2022.14145
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/205794
Title:
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TEmporal Scale SIgmoid Curve (TESIC): A tool to characterize short-term demand variability at water supply systems
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Author:
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Ruiz Gómez, Emilio
Díaz García, Sarai
González Pérez, Javier
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Issued date:
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Abstract:
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[EN] Water demand is the main random factor that conditions flow variability across water supply systems. Water demand measurements or pseudomeasurements (i.e. estimations based on historical data) are associated with a ...[+]
[EN] Water demand is the main random factor that conditions flow variability across water supply systems. Water demand measurements or pseudomeasurements (i.e. estimations based on historical data) are associated with a time interval (sampling rate), which affects the variability of water demands. Considering a long time interval implies losing information about water consumption within that temporal window. The variance (i.e. quantification of variability) computed from demand records is thus only “apparent”, because the variability within the time interval is averaged and lost (i.e. “missed”). The relationship between missed and apparent variability can be assessed through the so-called TEmporal scale SIgmoid Curve (TESIC), which is here presented as a tool to characterize short-term demand variability. TESIC is used in this work to compute demand uncertainty for a given time resolution level and to estimate peak demands for different temporal resolutions in a realistic water supply case study. These applications show that TESIC provides a conceptual framework to explain and quantify the temporal resolution effect in hydraulic modelling applications.
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Subjects:
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Water supply systems
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Smart meters
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Water consumption
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Uncertainty analysis
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Peak demand
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High resolution
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Copyrigths:
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Reconocimiento - No comercial - Compartir igual (by-nc-sa)
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ISBN:
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9788490489826
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Source:
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2nd International Join Conference on Water Distribution System Analysis (WDSA) & Computing and Control in the Water Industry (CCWI).
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DOI:
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10.4995/WDSA-CCWI2022.2022.14145
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Publisher:
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Editorial Universitat Politècnica de València
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Publisher version:
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http://ocs.editorial.upv.es/index.php/WDSA-CCWI/WDSA-CCWI2022/paper/view/14145
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Conference name:
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2nd WDSA/CCWI Joint Conference
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Conference place:
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Valencia, España
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Conference date:
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Julio 18-22, 2022
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Project ID:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111506RB-I00/ES/EFECTOS DEL CAMBIO CLIMATICO SOBRE EL REGIMEN HIDRAULICO Y TERMICO DE LAS REDES DE ABASTECIMIENTO DE AGUA URBANA/
info:eu-repo/grantAgreement/JCCM/SBPLY/19/180501/000162
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Thanks:
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The authors would like to thank the financial support provided by the Spanish Ministry of Science and Innovation - State Research Agency (Grant PID2019-111506RB-I00 funded by MCIN/AEI/10.13039/ 501100011033) and Junta de ...[+]
The authors would like to thank the financial support provided by the Spanish Ministry of Science and Innovation - State Research Agency (Grant PID2019-111506RB-I00 funded by MCIN/AEI/10.13039/ 501100011033) and Junta de Comunidades de Castilla-La Mancha (Grant SBPLY/19/180501/000162 funded by Junta de Comunidades de Castilla-La Mancha and ERDF A way of making Europe).
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Type:
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Capítulo de libro
Comunicación en congreso
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