An artificial intelligence approach for optimizing pumping in sewer systems

Ostojin, Sonja; Mounce, S. R.; Boxall, Joby

doi:10.2166/hydro.2011.059

Cited by 31 publications

(19 citation statements)

References 23 publications

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“…The application of genetic algorithms to optimise fuzzy sets for sewer pumps at a single pump station was achieved by Ostojin et al (2011). Their work shows that a thorough foundation and fuzzy-based framework could lead to the application of advanced techniques in terms of decision support and ultimately optimisation.…”

Section: Discussionmentioning

confidence: 99%

Conceptual framework for sewer pump problems allowing for fuzzy logic application

Bester¹,

Jacobs²,

Tulleken³

2015

WSA

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Sewer pump station problems in separate sewer systems (separate from stormwater drainage systems) were investigated in order to derive a conceptual framework for decision making. Notwithstanding the fundamental service that efficient sewage pumping provides to a community, it was apparent that limited research has been published on the topic. Research was undertaken to identify, investigate and classify problems at existing operational sewage pump stations by means of site visits, interviews, and an extensive knowledge review. A conceptual framework for sewer pump problems was subsequently derived. The application of the framework is illustrated by means of a fuzzy logic approach to one of the problem classes identified. This study sets the scene for further research into fuzzy-based efficiency indices pertaining to different sewer system components and the ultimate application in sewer system decision support tools.

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Section: Discussionmentioning

confidence: 99%

Conceptual framework for sewer pump problems allowing for fuzzy logic application

Bester¹,

Jacobs²,

Tulleken³

2015

WSA

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“…A substantial improvement in the availability and ownership cost of instrumentation, data collection, and communications, and the way they are applied will also impact on other distributed infrastructure; for the water sector, this includes sewerage systems. Such work is already underway, for example, on CSO analytics (Guo and Saul, 2011;Mounce et al, 2014) and GA optimised fuzzy logic pump control (Ostojin et al, 2011 Figure 6. Schematic of idealised combined application.…”

Section: Discussionmentioning

confidence: 99%

Online data processing for proactive UK water distribution network operation

Machell

Mounce

Farley

et al. 2014

Drink. Water Eng. Sci.

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Abstract. Operational benefits and efficiencies generated using prevalent water industry methods and techniques are becoming more difficult to achieve; as demonstrated by English and Welsh water companies' static position with regards the economic level of leakage. Water companies are often unaware of network incidents such as burst pipes or low pressure events until they are reported by customers; and therefore use reactive strategies to manage the effects of these events. It is apparent that new approaches need to be identified and applied to promote proactive network management if potential operational productivity and standards of service improvements are to be realised. This paper describes how measured flow and pressure data from instrumentation deployed in a UK water distribution network was automatically gathered, checked, analysed and presented using recently developed techniques to generate apposite information about network performance. The work demonstrated that these technologies can provide early warning, and hence additional time to that previously available, thereby creating opportunity to proactively manage a network; for example to minimise the negative impact on standards of customer service caused by unplanned events such as burst pipes.Each method, applied individually, demonstrated improvement on current industry processes. Combined application resulted in further improvements; including quicker and more localised burst main location. Future possibilities are explored, from which a vision of seamless integration between such technologies emerges to enable proactive management of distribution network events.

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“…Sustainable growth [8] in this sector could be achieved through several strategies, which aim at an optimal management of water distribution networks. For example, optimal pump scheduling, in both clean water [10][11][12] and drainage [13][14][15][16] pumping systems has been shown to improve energy efficiency. In particular, a recent study [15] showed that an optimal pump scheduling in a drainage system can ensure an average value of recovered energy up to 32%.…”

Section: Introductionmentioning

confidence: 99%

Energy Transfer from the Freshwater to the Wastewater Network Using a PAT-Equipped Turbopump

Morani

Carravetta

Fecarotta

et al. 2019

Water

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A new strategy to increase the energy efficiency in a water network exists using turbo pumps, which are systems consisting of a pump and a turbine directly coupled on a same shaft. In a turbo pump, the pump is fed by a turbine that exploits a surplus head in a freshwater network in order to produce energy for one system (wastewater) and reduce the excess pressure in another (drinking water). A pump as turbine (PAT) may be preferred over a classic turbine here due to its lower cost. The result of such a coupling is a PAT–pump turbocharger (P&P). In this research, the theoretical performance of a P&P plant is employed using data from a real water distribution network to exploit the excess pressure of a freshwater stream and to feed a pump conveying wastewater toward a treatment plant. Therefore, the P&P plant is a mixed PAT–pump turbocharger, operating with both fresh and wastewater. A new method to perform a preliminary geometric selection of the machines constituting the P&P plant has been developed. Furthermore, the plant operation has been described by means of a new mathematical model under different boundary conditions. Moreover, the economic viability of the plant has been assessed by comparison with a conventional wastewater pumping system working in ON/OFF mode. Therefore, the net present value (NPV) of the investment has been evaluated in both situations for different time periods. According to the economical comparison, the PAT–pump turbocharger represents the most economically advantageous configuration, at least until the useful life of the plant. Such convenience amounts to 175% up to a time period equal to 20 years.

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An artificial intelligence approach for optimizing pumping in sewer systems

Cited by 31 publications

References 23 publications

Conceptual framework for sewer pump problems allowing for fuzzy logic application

Conceptual framework for sewer pump problems allowing for fuzzy logic application

Online data processing for proactive UK water distribution network operation

Energy Transfer from the Freshwater to the Wastewater Network Using a PAT-Equipped Turbopump

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