Improving numerical efficiency of water networks models reduction algorithm

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dc.cclicenceN/Aen
dc.contributor.authorPaluszczyszyn, D.en
dc.contributor.authorSkworcow, P.en
dc.contributor.authorUlanicki, Bogumilen
dc.date.accessioned2017-03-16T15:20:37Z
dc.date.available2017-03-16T15:20:37Z
dc.date.issued2014
dc.description.abstractNowadays, it is common that water distribution network (WDN) models contain thousands of elements to accurately replicate hydraulic behaviour and topographical layout of real systems. Such models are appropriate for simulation purposes, however optimisation tasks are much more computationally demanding, hence simplified models are required. Variables elimination is a mathematical method for the reduction of such large-scale models described by non-linear algebraic equations. The approach benefits of preserving the non-linearity of the original WDN model and approximates the original model at wide range of operating conditions. However its compute-intensive nature demanded that its implementation should take into account the development in programming languages and the recently released libraries allowing an optimisation of the executable program for multi-core machines. This will ensure that model reduction application will be able to cope with complex topologies of large size networks. In this paper the process of design and development of the research software is described with focus put on the emerged computational research aspects. It is demonstrated that utilisation of parallel programming techniques and sparse matrices ordering algorithms drastically decrease computational time of the model simplification.en
dc.funderN/Aen
dc.identifier.citationPaluszczyszyn, D., Skworcow, P. and Ulanicki, B. (2014) Improving numerical efficiency of water networks models reduction algorithm. Computer systems engineering: theory & applications, Polish-British Workshops 2010-2013, Jugow, Poland, pp. 46-65en
dc.identifier.isbn9788393392407
dc.identifier.urihttp://hdl.handle.net/2086/13675
dc.peerreviewedYesen
dc.projectidN/Aen
dc.publisherDrukarnia Oficyny Wydawniczej Politechniki Wroclawskiejen
dc.researchgroupCentre for Engineering Science and Advanced Systemsen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectwater distribution systemsen
dc.subjectmodel reductionen
dc.subjectnumerical efficiencyen
dc.titleImproving numerical efficiency of water networks models reduction algorithmen
dc.typeBook chapteren

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