Abstract
Cost justified decisions on the sizing and installation of water supply systems for high-rise residential buildings rely on accurate estimation of the probable maximum simultaneous water demands. The significance of this study is that it develops an integrated approach to determining the probable maximum simultaneous demands of domestic washroom appliances by incorporating the simultaneous usage patterns. Via Monte Carlo sampling technique, the model flow rates and operating times of some common appliances were sampled from survey data and the corresponding cumulative demand density function in the peak demand period was determined. Compared to the existing fixture unit approach, the integrated approach is proven more cost-effective for some water supply plants and piping systems.
| Original language | English |
|---|---|
| Title of host publication | 9th International Conference on Probabilistic Safety Assessment and Management 2008, PSAM 2008 |
| Pages | 551-556 |
| Number of pages | 6 |
| Volume | 1 |
| Publication status | Published - 1 Dec 2008 |
| Event | 9th International Conference on Probabilistic Safety Assessment and Management 2008, PSAM 2008 - Hong Kong, Hong Kong Duration: 18 May 2008 → 23 May 2008 |
Conference
| Conference | 9th International Conference on Probabilistic Safety Assessment and Management 2008, PSAM 2008 |
|---|---|
| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 18/05/08 → 23/05/08 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Demands
- High-rise residential buildings
- Water supply
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Statistics and Probability
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