In this section
@inbook{Soh:2023:10.1016/B978-0-443-15274-0.50111-6,
author = {Soh, QY and O'Dwyer, E and Acha, S and Shah, N},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-443-15274-0.50111-6},
pages = {697--702},
title = {Modular stochastic optimization for optimal rainwater harvesting system design},
url = {http://dx.doi.org/10.1016/B978-0-443-15274-0.50111-6},
year = {2023}
}
TY - CHAP
AB - Rainwater Harvesting (RWH) systems can serve a dual functionality as a flood mitigation structure as well as providing local water availability. Optimisation-based design strategies must be transferrable enough to incorporate the influence of the local climate and case-specific catchment area characteristics into the design process, which can be a significant endeavour when required for every individual implementation. To increase the accessibility of optimisation methods in the appropriate sizing of RWH systems, this paper presents a modularised optimisation model, where tank components and dynamics are contained as individual blocks. These blocks can then be pieced together to produce a full system model, allowing optimisation models to be easily built for any combination and design of RWH system. This is implemented with a multi-tank RWH system, where an evaluation of the optimised system configuration showed a good balance between the dual objectives of providing improved flood mitigation and local water reuse, in comparison to an existing system derived through alternative sizing strategies.
AU - Soh,QY
AU - O'Dwyer,E
AU - Acha,S
AU - Shah,N
DO - 10.1016/B978-0-443-15274-0.50111-6
EP - 702
PY - 2023///
SP - 697
TI - Modular stochastic optimization for optimal rainwater harvesting system design
T1 - Computer Aided Chemical Engineering
UR - http://dx.doi.org/10.1016/B978-0-443-15274-0.50111-6
ER -