On the Use of a Real-Time Control Approach for Urban Stormwater Management

Maiolo, Mario; Palermo, Stefania Anna; Brusco, Anna Chiara; Pirouz, Behrouz; Turco, Michele; Vinci, Andrea; Spezzano, Giandomenico; Piro, Patrizia

doi:10.3390/w12102842

Cited by 29 publications

(18 citation statements)

References 86 publications

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“…The virtual catchments studied have a high level of controllability over the dynamics in the system, with the percentage of conduits able to control the flow rate passed through them being 26%, 28-99% and 19-100% by Ramirez-Jaime et al (2016), Garofalo et al (2017) and Maiolo et al (2020) respectively (Table 1). This density of actuators is far higher than can be reasonably expected in real systems, which will likely lead to an underestimation of the difference with a centralised control approach.…”

Section: Distributed Controlmentioning

confidence: 99%

“…The addition of actuators in the context of distributed control can also lead to negative outcomes: increased risk of flooding (Ramirez-Jaime et al 2016) or decreased flooding volume reduction (Maiolo et al 2020). The latter claimed flooding volume reductions for a UDS without CSO structure of 89 and 62% for a partially and fully controlled small drainage system respectively for a 1-in-20 year storm compared to a UDS with only unrestricted flow.…”

Section: Distributed Controlmentioning

confidence: 99%

See 1 more Smart Citation

Towards the long term implementation of real time control of combined sewer systems: a review of performance and influencing factors

Werf

Kapelan

Langeveld

2022

Water Science and Technology

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Real Time Control (RTC) is widely accepted as a cost-effective way to operate urban drainage systems (UDS) effectively. However, what factors influence RTC efficacy and how this might change in the long term remains largely unknown. This paper reviews the literature to understand what these factors likely are, and how they can be assessed in the future. Despite decades of research, inconsistent definitions of the performance of RTC are used, hindering an objective and quantitative examination of the benefits and drawbacks of different control strategies with regard to their performance and robustness. Furthermore, a discussion on the changes occurring and projected to occur to UDS reveals that the potential impact of these changes on the functioning of RTC systems can be significant and should be considered in the design stage of the RTC strategy. Understanding this ‘best-before’ characteristic of an RTC strategy is the key step to ensure long term optimal functioning of the UDS. Additionally, unexplored potential for RTC systems might exist in the transitions, rehabilitation and construction of drainage systems. The research gaps highlighted here could guide the way for further development of RTC strategies, and enabling more optimal, long term implementation of RTC for urban drainage systems.

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Section: Distributed Controlmentioning

confidence: 99%

Section: Distributed Controlmentioning

confidence: 99%

Towards the long term implementation of real time control of combined sewer systems: a review of performance and influencing factors

Werf

Kapelan

Langeveld

2022

Water Science and Technology

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“…Di Matteo et al (2019) optimize opening and closing of a network of ICT-enabled rainwater tanks to reduce peak stormwater flows. Maiolo et al (2020) test different RTC configurations in an urban drainage network to optimize flood reduction.…”

Section: System Designmentioning

confidence: 99%

A systematic review of municipal smart water for climate adaptation and mitigation

Lassiter

Leonard

2022

Environment and Planning B: Urban Analytics and City Science

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This study examines how research on smart water is contributing to climate-resilient municipal water systems around the globe. We identify smart water research trends over time, relationships with climate adaptation and mitigation goals, and applicability to places with developed or developing water and electrical infrastructure. To do so, we systematically review the literature, identifying research on Information Communication Technology-enabled technologies related to water supply, wastewater, and stormwater management. We assess the relationship between each study and climate adaptation and mitigation objectives: managing greater variation in water quantity, leading to scarcity and increased stormwater; managing declining water quality; and low-carbon water systems. We find 96 relevant studies and identify five major categories of research addressing climate adaptation and mitigation: monitoring, modeling, system design, system feedbacks, and uptake and implementation. We find there is a recent acceleration in smart water research, with a concentration of studies focused on modeling. There is an emphasis on water efficiency using data from Advanced Metering Infrastructure, which is most applicable to cities with developed water grids and consistent electrical supplies. Secondarily, there is a concentration of work using distributed sensors for early detection of water quality degradation, which is being done in all municipal contexts. There is far less research on uptake and implementation of smart approaches, especially at the institutional level. In addition, there is relatively little work that explicitly relates smart water technologies to reducing greenhouse gas emissions. While smart water approaches are applicable everywhere, there is a need to for expanded focus on areas without developed water grids or consistent electricity for smart water to meaningfully contribute to Sustainable Development Goal 6.

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“…The applications of distributed RTC have economic advantages, considering the local level optimization, not including the complexity of a drainage system. In [71], the hydraulic performance of an urban drainage system was evaluated using decentralized RTC techniques based on gossip algorithms, which reduced the complexity compared to centralized systems, although improving the system's hydraulic performance.…”

Section: Challenges To Applying Rtc To Nbsmentioning

confidence: 99%

Nature-Based Solutions and Real-Time Control: Challenges and Opportunities

Brasil

Macedo

Lago

et al. 2021

Water

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Nature-based solutions (NBS) as green infrastructures to urban drainage are an effective mitigation strategy both in terms of quantity and quality of runoff. Real-time control (RTC) can complement both flood mitigation and improvement of water quality by controlling elements of the drainage and sewage system. This study assessed the improvement opportunities with RTC of three NBS-related techniques commonly applied in urban drainage with different spatial scales: green roof, bioretention and detention basin and the remaining challenges to integrate both methods. Additionally, our investigations showed that the main difficulties reported involve the planning and monitoring stages of the RTC system. All of the studied devices can benefit from RTC. It is possible to observe that, despite the good results reported in the literature, the application of RTC to NBS studies on urban drainage are very recent. There are several opportunities that can be explored to optimize the performance.

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On the Use of a Real-Time Control Approach for Urban Stormwater Management

Cited by 29 publications

References 86 publications

Towards the long term implementation of real time control of combined sewer systems: a review of performance and influencing factors

Towards the long term implementation of real time control of combined sewer systems: a review of performance and influencing factors

A systematic review of municipal smart water for climate adaptation and mitigation

Nature-Based Solutions and Real-Time Control: Challenges and Opportunities

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