Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/80009
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Building Services Engineering | - |
dc.creator | Wong, LT | - |
dc.creator | Mui, KW | - |
dc.date.accessioned | 2018-12-21T07:14:37Z | - |
dc.date.available | 2018-12-21T07:14:37Z | - |
dc.identifier.issn | 2073-4441 | - |
dc.identifier.uri | http://hdl.handle.net/10397/80009 | - |
dc.language.iso | en | en_US |
dc.publisher | Molecular Diversity Preservation International (MDPI) | en_US |
dc.rights | © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Wong, L. -., & Mui, K. -. (2018). A review of demand models for water systems in buildings including a Bayesian approach. Water (Switzerland), 10(8), 1078, 1-25 is available at https://dx.doi.org/10.3390/w10081078 | en_US |
dc.subject | Bayesian estimates | en_US |
dc.subject | Deterministic models | en_US |
dc.subject | Probabilistic models | en_US |
dc.subject | Probable maximum simultaneous demand | en_US |
dc.subject | Water demand time series | en_US |
dc.subject | Water systems | en_US |
dc.title | A review of demand models for water systems in buildings including a Bayesian approach | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 25 | - |
dc.identifier.volume | 10 | - |
dc.identifier.issue | 8 | - |
dc.identifier.doi | 10.3390/w10081078 | - |
dcterms.abstract | Instantaneous flow rate estimation is essential for sizing pipes and other components of water systems in buildings. Although various demand models have been developed in line with design and technology trends, most water supply system designs are routinely and substantially over-sized to keep failure risks to a minimum. Three major types of demand models from the literature are reviewed in this paper: (1) deterministic approach; (2) probabilistic approach; and (3) demand time-series approach. As findings show some widely used model estimates are much larger than the field measurements, this paper proposes a Bayesian approach to bridge the gap between model-based and field-measured values for the probable maximum simultaneous water demand. The proposed approach is flexible to adopt estimates as its prior values from a wide range of existing water demand models for determining the Bayesian coefficients for reference models, codes, and design standards with relevant measurement data. The approach provides a useful method not only for evaluating the corresponding demand values from various design references, but also for responding to the call for sustainable building design. | - |
dcterms.accessRights | open access | - |
dcterms.bibliographicCitation | Water, Aug. 2018, v. 10, no. 8, 1078, p. 1-25 | - |
dcterms.isPartOf | Water | - |
dcterms.issued | 2018-08 | - |
dc.identifier.scopus | 2-s2.0-85052098798 | - |
dc.identifier.artn | 1078 | - |
dc.description.validate | 201812 bcrc | - |
dc.description.oa | Version of Record | - |
dc.identifier.FolderNumber | a0686-n05 | - |
dc.identifier.SubFormID | 936 | - |
dc.description.fundingSource | RGC | - |
dc.description.fundingSource | Others | - |
dc.description.fundingText | RGC: Research Grants Council of the Hong Kong Special Administrative Region (HKSAR), China (PolyU 5272/13E) | - |
dc.description.fundingText | Others: The Hong Kong Polytechnic University (GYBA6, GYM64, GYBFN) | - |
dc.description.pubStatus | Published | - |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wong_Models_Water_Systems_Bayesian.pdf | 1.11 MB | Adobe PDF | View/Open |
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