Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/124269
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Type: Journal article
Title: Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration storms
Author: DiMatteo, M.
Lang, R.
Maier, H.
Thyer, M.
Simpson, A.
Dandy, G.
Citation: Environmental Modelling and Software, 2019; 111:34-41
Publisher: Elsevier
Issue Date: 2019
ISSN: 1364-8152
1873-6726
Statement of
Responsibility: 
M. Di Matteo, R. Liang, H.R. Maier, M.A. Thyer, A.R. Simpson, G.C. Dandy, B. Ernst
Abstract: Globally, urban infill is stressing existing stormwater systems, necessitating costly infrastructure upgrades. Although household rainwater tanks provide significant distributed storage, they have virtually no impact on reducing peak flows for rare, long duration events. This study introduces an innovative “smart systems” approach to operating tanks to overcome this limitation. Smart tanks are operated as systems and tank opening/closing is optimised to reduce peak flows. To evaluate the proposed approach, we develop a simulation-optimization model by coupling SWMM with a multi-objective genetic algorithm. The results for a two allotment case study show a consistent reduction in peak flows for a 24 h, 1 in 100-year storm for a range of rainfall patterns and tank sizes. For example, a system of 10 kL smart tanks reduced peak flows by 39%–48% compared with the same sized retention tanks. This smart systems approach provides an opportunity to reduce the cost of stormwater infrastructure.
Keywords: Smart rainwater tanks; Real-time control; Urban flooding; Genetic algorithm; Simulation-optimization; Low-impact development
Description: Available online 01 October 2018
Rights: © 2018 Elsevier Ltd. All rights reserved.
RMID: 0030102992
DOI: 10.1016/j.envsoft.2018.09.020
Appears in Collections:Civil and Environmental Engineering publications

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