scholarly journals Improving the Multi-Objective Performance of Rainwater Harvesting Systems Using Real-Time Control Technology

Water ◽  
2018 ◽  
Vol 10 (2) ◽  
pp. 147 ◽  
Author(s):  
Wei Xu ◽  
Tim Fletcher ◽  
Hugh Duncan ◽  
David Bergmann ◽  
Jeddah Breman ◽  
...  

Many studies have identified the potential of rainwater harvesting (RWH) systems to simultaneously augment potable water supply and reduce delivery of uncontrolled stormwater flows to downstream drainage networks. Potentially, such systems could also play a role in the controlled delivery of water to urban streams in ways which mimic baseflows. The performance of RWH systems to achieve these three objectives could be enhanced using Real-Time Control (RTC) technology to receive rainfall forecasts and initiate pre-storm release in real time, although few studies have explored such potential. We used continuous simulation to model the ability of a range of allotment-scale RWH systems to simultaneously deliver: (i) water supply; (ii) stormwater retention; and (iii) baseflow restoration. We compared the performance of RWH systems with RTC technology to conventional RWH systems and also systems designed with a passive baseflow release, rather than the active (RTC) configuration. We found that RWH systems employing RTC technology were generally superior in simultaneously achieving water supply, stormwater retention and baseflow restoration benefits compared with the other types of system tested. The active operation provided by RTC allows the system to perform optimally across a wider range of climatic conditions, but needs to be carefully designed. We conclude that the active release mechanism employing RTC technology exhibits great promise; its ability to provide centralised control and failure detection also opens the possibility of delivering a more reliable rainwater harvesting system, which can be readily adapted to varying climate over both the short and long term.


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.



2020 ◽  
Vol 56 (9) ◽  
Author(s):  
Wei D. Xu ◽  
Tim D. Fletcher ◽  
Matthew J. Burns ◽  
Frédéric Cherqui


2020 ◽  
Author(s):  
Wei D. Xu ◽  
Tim D. Fletcher ◽  
Matthew J. Burns ◽  
Frédéric Cherqui


2020 ◽  
Author(s):  
Wei D. Xu ◽  
Tim D. Fletcher ◽  
Matthew J. Burns ◽  
Frédéric Cherqui


2020 ◽  
Author(s):  
Wei D. Xu ◽  
Tim D. Fletcher ◽  
Matthew J. Burns ◽  
Frédéric Cherqui


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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