Calibration-free approach to reactive real-time control of stormwater storages

Liang, Ruijie; Maier, Holger R.; Thyer, Mark; Dandy, Graeme C.; Tan, Yinghao; Chhay, Matthew; Sau, Tiger; Lam, Vinh

doi:10.1016/j.jhydrol.2022.128559

Cited by 7 publications

(3 citation statements)

References 38 publications

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“…The peak flow control rules are implemented for the four tanks near the outlets (Equation 8). If the outfall flow rate (Q t ) exceeds the user-defined target peak flow (i.e., QT ), the inlet orifices of tanks T3 toT6 are opened to intercept water, following rules similar to those developed by Liang et al (2022). All these scenarios were simulated using the reference model to ensure a consistent operating environment, including the MPC scenarios where decision outputs from the swmm_mpc were copied to the reference model.…”

Section: Scenarios Developmentmentioning

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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Section: Scenarios Developmentmentioning

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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“…For a detention pond, the control rules (Table 3) alter the control object's (here, an orifice) state by adjusting the attribute values (here, the opening degree or percentage [26]). For instance, when the water depth of the detention pond is less than 0.5 m, the opening of the orifice R1 is 0; that is, the orifice R1 is closed; when the water depth is between 0.5 m and 2 m, the opening of the orifice R1 is 20%.…”

Section: Detention Pond Simulation In Stormwater Management Modelmentioning

confidence: 99%

Surrogate-Based Multiobjective Optimization of Detention Pond Volume in Sponge City

Yang

Xin

2023

Water

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Detention ponds are effective structures for stormwater management in the urban drainage system of sponge cities. The pond size is taken as the decision variable, while the cost, total suspended solids (TSS), and catchment peak outflow (CPO) serve as the objectives for optimizing the detention pond volume. First, we randomly generated 10,000 pond areas and input them into the stormwater management model to simulate the time series of outflow and suspended solids concentration, thereby generating samples by combining the set of pond area, corresponding cost, TSS, and CPO. Then, two backpropagation neural network models (i.e., BPNN-TSS and BPNN-CPO) were trained, tested, and evaluated for predicting TSS and CPO, respectively. We employed them as surrogates and used the non-dominated sorting genetic algorithm-II to solve the optimization problem. The results showed: (1) The BPNN models accurately predicted TSS and CPO (determination coefficient 0.988~0.996, Nash–Sutcliffe efficiency 0.988~0.997), and efficiently substituted stormwater management model simulations for optimization purposes (residuals −18.49~28.10 kg and −0.45~0.29 m3/s). (2) For the Pareto solutions, the detention pond reduced TSS by 0~8.33% and CPO by 0~72.44% and delayed their peaks by 4~52 min; the reduction in TSS and CPO tends to grow as pond size increases, and CPO reduction exhibits a minor marginal effect. (3) The surrogate-based approach saves 90.03% runtime while preserving the quality of the Pareto solutions, verifying reliability.

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“…In response, there has been increasing interest in the development of more adaptive flood mitigation options [16][17][18][19][20][21][22][23][24][25]. In contrast with structural measures, many of the options that are considered to be more adaptive belong to the class of green and blue infrastructure, or nature-based solutions (NBSs), which use natural elements to reduce water depths and flow speeds within a certain area by mimicking the effects of vegetation and soil characteristics on floods and their distribution [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Nature-Based Solutions for Mitigating the Impact of Pluvial Flooding in Urban Areas at the Regional Scale

Hamers

Maier

Zecchin

et al. 2023

Water

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Pluvial flooding causes significant damage in urban areas worldwide. The most common approaches to mitigating these impacts at regional scales include structural measures such as dams, levees and floodways. More recently, the use of nature-based solutions (NBS) is receiving increasing attention, as such approaches are more adaptive than structural measures and have a number of potential co-benefits (e.g., improvements in water quality and amenity). As NBSs are generally applied at house or block scales in urban areas, their potential for reducing the impacts of urban flooding at the regional scale are unknown. We introduce an approach that enables the potential of using portfolios of NBSs to reduce the impact of urban flooding to be assessed at the regional scale. This approach enables the most suitable locations for such portfolios of NBSs to be identified, as well as their effectiveness to be modeled at spatial resolutions that are commonly used for regional planning studies. The approach is applied to a case study area to the north of Adelaide, South Australia, with results obtained suggesting that there is significant potential for using strategically placed portfolios of NBSs to reduce the impact of pluvial flooding in urban areas at the regional scale.

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Calibration-free approach to reactive real-time control of stormwater storages

Cited by 7 publications

References 38 publications

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

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

Surrogate-Based Multiobjective Optimization of Detention Pond Volume in Sponge City

Effectiveness of Nature-Based Solutions for Mitigating the Impact of Pluvial Flooding in Urban Areas at the Regional Scale

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