Real-time controlled rainwater harvesting systems can improve the performance of stormwater networks

Xu, Wei D.; Burns, Matthew J.; Cherqui, Frédéric; Duchesne, Sophie; Pelletier, Geneviève; Fletcher, Tim D.

doi:10.1016/j.jhydrol.2022.128503

Cited by 16 publications

(4 citation statements)

References 58 publications

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“…Nevertheless, future research should aim to the further study of the application of the generalizability of the results to other locations. The SWMM is primarily used for one-dimensional (1D) stormwater network simulations, and is not able to represent the hydrodynamics of 1D networks as well as two-dimensional (2D) surface water accumulation [27]. The accuracy of the SWMM model often depends on the completeness and precision of the underlying data [28].…”

Section: Supplementary Materialsmentioning

confidence: 99%

Systematic Assessment on Waterlogging Control Facilities in Hefei City of Anhui Province in East China

Hu,

Liu,

et al. 2024

Water

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Both the renovation of rainwater pipes and the addition of sponge city facilities in the low-terrain residences of urban fringes were rarely systematically simulated using the Storm Water Management Model (SWMM). With the waterlogging prevention project in an old residential quarter at a fringe of Hefei city being an example, this study used the SWMM to simulate the effect of the renovation of rainwater pipes and sponge city facilities under different return periods. The results showed the key nodes on the main pipes met the drainage requirements based on water depth analysis after renovation below the 20-year return period, and the reduction rate of the maximum water depth at the key node J5 was the greatest, with 87.7%. The four flow parameters (the average flow rate, the peak flow rate, the total discharge, and the percentage of water flow frequency) for the two outlets (PFK1 and PFK2) all improved after renovation under five return periods (2, 5, 10, 20, and 50 years [a]). The addition of sponge city facilities effectively reduced the amount of rainwater runoff from 28.68% to 14.78% during 2 a to 50 a, and the maximum reduction rate of water depth, being 61.15%, appeared in J5 under 20 a. The curve integral area of the depth over the elapsed time was innovatively used to indirectly express the accumulated rainwater volume through the rainwater well. This study verified that the SWMM model can be well applied to old low-terrain residential quarters in urban fringes and broadened the application scenario of the model.

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Section: Supplementary Materialsmentioning

confidence: 99%

Systematic Assessment on Waterlogging Control Facilities in Hefei City of Anhui Province in East China

Hu,

Liu,

et al. 2024

Water

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“…Recently, larger-scale modelling has been applied to demonstrate the utility of advanced technology, such as real-time control (RTC), to RWH systems. For example, Xu et al [142] illustrate the benefits of RTC of RWH on reducing erosion and restoring the pre-development conditions in sensitive receiving waters and suggest that investments in RTC technology would appear to be more promising than investments in increasing RWH detention volume.…”

Section: Trends and Perspectivesmentioning

confidence: 99%

Rainwater Harvesting and Treatment: State of the Art and Perspectives

Raimondi

Quinn

Abhijith

et al. 2023

Water

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Rainwater harvesting is an ancient practice currently used for flood and drought risk mitigation. It is a well-known solution with different levels of advanced technology associated with it. This study is aimed at reviewing the state of the art with regards to rainwater harvesting, treatment, and management. It focuses on the environmental and social benefits of rainwater harvesting and links them to the Sustainable Development Goals. The review identifies characteristics of laws and regulations that encourage this practice and their current limitations. It presents methodologies to design a rainwater harvesting system, describes the influence of design variables, and the impact of temporal and spatial scales on the system’s performance. The manuscript also analyzes the most advanced technologies for rainwater treatment, providing insights into various processes by discussing diverse physiochemical and biological technology options that are in the early stages of development. Finally, it introduces trends and perspectives which serve to increase rainwater harvesting, water reuse, and effective management.

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“…However, debate continues over the system's reliability during heavy rainfall events, as most infrastructures are still designed for more frequent, smaller rainfalls (Wang et al., 2021). To address this, several studies have been conducted to evaluate the performance of real‐time controlled GI during heavy or extreme rainfall events (Gee & Hunt, 2016; Lucas & Sample, 2015; Xu et al., 2020, 2022a). Major research efforts in MPC have focused on optimizing the control of drainage pipes and storage facilities (Luo et al., 2022; Mullapudi et al., 2020; Shishegar et al., 2021; Wong & Kerkez, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Model predictive control (MPC), an advanced optimization‐based RTC technique, incorporates rainfall forecasts into its analysis, facilitating a more effective global strategy for each actuator than the reactive “if‐then‐else” rules (Eggimann et al., 2017; García et al., 2015; Sun et al., 2023). According to scientific literature, the MPC approach is reported to significantly improve the environmental benefits of existing stormwater systems, such as peak flow reduction (Campisano et al., 2017; Shishegar et al., 2018; Xu et al., 2020), flooding volume mitigation (Mullapudi et al., 2020; Sadler et al., 2020), and the multi‐objective control (Xu et al., 2022a, 2022b). Even under extreme rainfalls, MPC has been shown to enhance system resilience by improving infrastructure performance (Di Matteo et al., 2019; Liang et al., 2021) and reducing the need for additional retention volume (Beeneken et al., 2013).…”

Section: Introductionmentioning

confidence: 99%

Integrating Model Predictive Control With Stormwater System Design: A Cost‐Effective Method of Urban Flood Risk Mitigation During Heavy Rainfall

Sun,

Xia,

She

2024

Water Resources Research

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The integration of green‐gray infrastructures with advanced control approaches is revolutionizing the stormwater system retrofitting, emerging as an innovative strategy to mitigate urban flood risks. However, a major challenge lies in balancing the substantial investments of these infrastructure projects with their environmental benefits, such as reduced flooding volume and lower peak flow. Model predictive control (MPC), a dynamic and intelligent control approach, optimizes these environmental benefits but is underutilized in the system design phase for cost‐effectiveness analysis. This study introduces a multi‐scenario model framework that incorporates MPC and other control approaches into stormwater system designs, including the implementation of controlled storage tanks and green infrastructures. This framework provides comprehensive modeling tools for practitioners to evaluate the flood control benefits and costs across various infrastructure designs and control scenarios, ultimately identifying solutions that are both environmentally and economically viable. A case study conducted in a small urban catchment area in Shenzhen City, China, demonstrates the effectiveness of this framework. The results indicate that MPC outperforms other control scenarios, particularly under heavy or extreme rainfall conditions. Notably, MPC not only provides superior environmental benefits but also yields considerable cost savings, ranging from 1,787 to 9,371 USD per hectare compared to static control, equating to a 5% reduction in cost relative to rule‐based control. Such findings suggest that integrating MPC is a cost‐effective alternative to extensive infrastructure expansion for flood management, which significantly enhances the benefit contribution of controlled infrastructures without substantial additional expenses.

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Real-time controlled rainwater harvesting systems can improve the performance of stormwater networks

Cited by 16 publications

References 58 publications

Systematic Assessment on Waterlogging Control Facilities in Hefei City of Anhui Province in East China

Systematic Assessment on Waterlogging Control Facilities in Hefei City of Anhui Province in East China

Rainwater Harvesting and Treatment: State of the Art and Perspectives

Integrating Model Predictive Control With Stormwater System Design: A Cost‐Effective Method of Urban Flood Risk Mitigation During Heavy Rainfall

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