Real-time control of a sewer network using a multi-goal objective function

Author(s):  
D. Fiorelli ◽  
G. Schutz
1997 ◽  
Vol 36 (5) ◽  
pp. 301-308 ◽  
Author(s):  
J. Vazquez ◽  
D. Bellefleur ◽  
D. Gilbert ◽  
B. Grandjean

In order to reduce overflow pollution load during rainfall, a real time control strategy has been implemented for the combined sewer network of Saverne (Alsace, France). It consists of optimizing various gate and pump commands over a specified prediction horizon, using graph theory. Flows, trough collectors, weirs and stormwater retention tanks have been represented by a graph and a primal-dual algorithm has been used in order to satisfy rainfall discharge with lower overflow. This strategy has been tested successfully using 685 rainfall events collected over a decade and attractive reductions of both volume and frequency overflows have been observed.


2001 ◽  
Vol 43 (7) ◽  
pp. 123-130 ◽  
Author(s):  
M. Pleau ◽  
G. Pelletier ◽  
H. Colas ◽  
P. Lavallée ◽  
R. Bonin

Quebec Urban Community (QUC) has selected Global Predictive Real-Time Control (GP-RTC) as the most efficient approach to achieve environmental objectives defined by the Ministry of Environment. QUC wants to reduce combined sewer overflows (CSOs) frequency to the St Lawrence river to two events per summer period in order to reclaim the use of Jacques-Cartier Beach for recreational activities and sports of primary contact. QUC's control scheme is based on the Certainty Equivalent Control Open Loop Feedback (CEOLF) strategy which permits one to introduce, at each control period, updated measurements and meteorological predictions. A non-linear programming package is used to find the flow set points that minimise a multi-objective (cost) function, subjected to linear equality and inequality constraints representing the physical and operational constraints on the sewer network. Implementation of GP-RTC on QUC's westerly network was performed in the summer of 1999 and was operational by mid-August. Reductions in overflow volumes with GP-RTC compared to static control are attributed to the optimal use of two existing tunnels as retention facilities as well as the maximal use of the wastewater treatment plant (WWTP) capacity.


10.29007/71p3 ◽  
2018 ◽  
Author(s):  
Jing Feng ◽  
Congcong Sun ◽  
Gabriela Cembrano ◽  
Vicenç Puig

During the last few years, the integrated real-time control (RTC) of both the urban sewer network and the wastewater treatment plants (WWTP), has attracted increasingly attention. In order to apply integrated RTC control approach efficiently considering both the hydraulic and quality variables, models, simplified conceptual quality modelling approaches are required. This paper presents research work based on simplified water quality models in sewers, which have been developed in the European project LIFE EFFIDRAIN (Efficient Integrated Real-time Control in Urban Drainage and Wastewater Treatment Plants for Environmental Protection). The contribution of this paper is to analyze the potential factors that would influence the performance of the proposed modelling approach and consequently the corresponding integrated RTC control. A real sewer pilot the Perinot sewer network has been used as case study. Results and conclusions have been provided which would be useful for the users of these models.


Author(s):  
Thomas Newman ◽  
Stella Rozelman ◽  
Stephane Gibbons ◽  
Cello Vitasovic ◽  
Jennifer Kerr

10.29007/27gp ◽  
2018 ◽  
Author(s):  
Congcong Sun ◽  
Bernat Joseph-Duran ◽  
Gabriela Cembrano ◽  
Vicenç Puig ◽  
Jordi Meseguer

Combined urban drainage system (CUDS) collect both wastewater and raining water through sewer networks to wastewater treatment plants (WWTP) before releasing to the environment. During storm weather, rain and wastewater can overload the capacity of the CUDS and/or the WWTPs, producing combined sewer overflows (CSO). In order to improve the management efficiency of CUDS, advanced real-time control (RTC) of detention and diversion infrastructures in the sewer systems has been proven to contribute to reducing the CSO volumes. This work considers the integrated RTC of sewer network and WWTPs based on model predictive control (MPC) and taking into account the water quality as well as quantity, with the objective of minimizing the environmental impact of CSO on receiving waters. The control approach is validated using a real pilot Badalona sewer network in Spain. The first results, discussion and conclusions are also provided.


2006 ◽  
Vol 1 (1) ◽  
Author(s):  
S. Sørensen ◽  
B. Petersen ◽  
N. Kofod ◽  
P. Jacobsen

The Copenhagen sewerage system was established in 1857. Thus, in 2007 we celebrate our 150th anniversary. Previous to the establishment there were some years of discussion of the principle – combined vs. separate sewer network. Most of the sewer network we know today was founded 1860-1910. Until 1892 the contents of latrines were still collected and driven to the country for fertilization. The rest of the sewage was lead to the harbour, causing extreme odours and sedimentation of sludge. In the time the water closets were allowed to lead the wastewater to the sewer network, the sewage was collected in new pipes along the harbours, and only during rain there were spills from CSO. In the harbour, public baths were established, but because of the poorer and poorer water quality, the last bath closed in 1952. In the 1990s, a SCADA system was established and real time control introduced. Since then, RTC is an integrated part of managing the sewer network. In the same period, some major projects started with the aim of reducing the CSOs and large storage volumes were established. This resulted in the establishment of a public bath in 2002 followed by yet another in 2003.


1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.


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