Integrated pollution-based real-time control of sanitation systems

Sun, Congcong; Romero-Ben, Luis; Joseph-Duran, Bernat; Meseguer, Jordi; Muñoz, Eduard; Guasch, Ramón; Martínez, Montse; Puig, Vicenç; Cembraño, Gabriela

doi:10.1016/j.jenvman.2020.110798

Cited by 27 publications

(13 citation statements)

References 27 publications

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“…The central agent determines the set points either through a heuristic procedure or using real-time optimisation, for example through MPC. This form of RTC is regularly shown to outperform other forms of control (Gelormino & Ricker 1994;Giraldo et al 2010), although the margins are not always significant (Sun et al 2020a) and other architectures can similarly optimise the system (Table 1). Verification of the potential of this type of RTC for a given catchment is therefore more important prior to making the necessary investments.…”

Section: Centralised Controlmentioning

confidence: 96%

“…The implementation of RTC was considered a 'no-regret' measure, however, as it still managed to reduce the total overflow volume. Using a PB-RTC or IB-RTC strategy instead might become more interesting, as changes in concentrations might be controlled, even when volumetric capacity is reached (Sun et al 2020a(Sun et al , 2020b. This was concluded after only simulating four rainfall events, therefore validity of this conclusion needs further investigation.…”

Section: Temporary Operational Changementioning

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: Centralised Controlmentioning

confidence: 96%

Section: Temporary Operational Changementioning

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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“…36,37 Recent studies have also shown that pollutionbased models can provide a new and promising approach when water quality variables are considered. 37,38 In large-scale sewer systems, the midway controlling units such as pumping stations and storage tanks are important regulators that connect and influence upstream and downstream subcatchments. 20,39,40 These controlling units are usually installed with sewage or stormwater pumps for artificial regulation.…”

Section: Introductionmentioning

confidence: 99%

Abatement of Sewer Overflow Pollution Based on Distributed Optimal Control Approach

Zhao

Zhang

et al. 2022

ACS EST Water

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Optimal control is promising to mitigate the pollution from combined sewer overflows during wet-weather days. In this study, a distributed optimal control approach to regulating multipoint controlling units of the urban sewer system was developed. By introducing a differential evolution algorithm with ranking-based mutation operators, good simulation results with lower overflow mass loadings can obtain higher evolutionary probabilities. Thus, the optimal solutions to minimize the overflow mass from a large sewer network can be efficiently obtained. The developed approach was demonstrated in a catchment (total coverage area of 22.4 km 2 ) served by one wastewater treatment plant in Chaohu City, Anhui Province of China, with five pumping stations and 18 associated sewage or stormwater pumps as the distributed controllers. After a global optimization among various controlling units, performance of the sewer network in reducing its overflow was improved obviously through fully utilizing in-sewer storage and adjusting the sewer flow transportation harmoniously (i.e., an alternative mode of full storing and fast transportation in sequence). Accordingly, the overflow volume and the overflow mass loading of total nitrogen was reduced by 32.3% and 37.6%, respectively, without retrofitting the current sewer network. On the basis of the presented approach, decision-makers can develop a database for optimal regulation of sewer network under various rainfall scenarios and respond to sewer overflow control flexibly and cost-effectiveness.

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“…This has given rise to the use of Real Time Control (RTC), whereby the urban drainage system (UDS) is dynamically controlled based on real-time information of the system state (Schütze et al 2002). The control objective varies based on the UDS characteristic and preferences of the operator and can take the form of CSO volume reduction (Schilling et al 1996), pollution load reduction (Ly et al 2019;Sun et al 2020), environmental impact minimization (Langeveld et al 2013; or energy use optimisation (Kroll et al 2018). Multi-objective control, where several objectives are formalised together, have also been reported (Ocampo-Martinez et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Quantifying the true potential of Real Time Control in urban drainage systems

Werf

Kapelan

Langeveld

2021

Urban Water Journal

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To evaluate the performance of Real Time Control (RTC) of urban drainage systems (UDS) a comparison is made with the pre-RTC situation, making the RTC performance dependent on the functioning of the UDS prior to implementation. To standardise things, a generalised baseline is formulated here as the operation with optimal static settings of the UDS. Two maximum theoretical potential performances are then calculated, one including and one excluding system limitations. These are combined with the generalised baseline to form Realised Potential Indicators (RPIs), objective values which indicate the proximity of the RTC strategy to its maximum potential. The proposed methodology was demonstrated on the case study of Eindhoven, the Netherlands. The results obtained show that using RPIs allows for a more objective assessment and improved understanding of the efficacy of different RTC procedures. Additionally, the RPIs can provide an indication if RTC is sufficient to achieve the desired UDS performance.

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Integrated pollution-based real-time control of sanitation systems

Cited by 27 publications

References 27 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

Abatement of Sewer Overflow Pollution Based on Distributed Optimal Control Approach

Quantifying the true potential of Real Time Control in urban drainage systems

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