BibTex format
@inproceedings{Soh:2022,
author = {Soh, QY and O'Dwyer, E and Acha, S and Shah, N},
pages = {575--586},
title = {Stochastic optimal design for large-scale rainwater harvesting and detention systems},
year = {2022}
}
RIS format (EndNote, RefMan)
TY - CPAPER
AB - In urban centres, large scale rainwater harvesting (RWH) systems are increasingly used as a multipurpose stormwater management strategy. These systems have shown promise as a secondary water resource in addition to acting as a decentralised detention and flood prevention measure. Understanding the specific dynamics of these combined RWH systems is key to ensuring they can meet the desired objectives efficiently, thus requiring careful consideration in the sizing and design for each large-scale implementation. This can be a lengthy process highly dependent on expert knowledge, and therefore significantly slow down new RWH installations. In this paper we present a stochastic optimisation model for the design of passive RWH systems to quickly adjust system sizing parameters for a given environmental context. A high-resolution simulation model is used to assess the system behaviors and provide a performance guarantee for system managers before capital needs to be invested into building specific infrastructure. The optimisation model is applied to a case study for the sizing of a multi-tank RWH system for a residential estate in Singapore, and is assessed based on the system's ability to reduce surface overflow and satisfy irrigation demand. Results demonstrate a reduction in the total time and effort required to derive an efficient and adequate system design, in aid of simplifying the process of designing and implementing RWH systems. The stochastically optimal size for the multi-tank system was found to be capable of completely mitigating surface overflows, and increase water availability by 47% in comparison to the existing configuration located in the estate.
AU - Soh,QY
AU - O'Dwyer,E
AU - Acha,S
AU - Shah,N
EP - 586
PY - 2022///
SP - 575
TI - Stochastic optimal design for large-scale rainwater harvesting and detention systems
ER -