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Real-time receding horizon optimisation of gas pipeline networks

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Aalto, Hans
dc.date.accessioned 2012-02-17T07:00:28Z
dc.date.available 2012-02-17T07:00:28Z
dc.date.issued 2005-05-20
dc.identifier.isbn 951-22-7659-3
dc.identifier.issn 0783-5477
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/2570
dc.description.abstract Real-time optimisation of gas pipelines in transient conditions is considered to be a challenging problem. Many pipeline systems are, however, only mildly non-linear. It is shown, that even the shutdown event of a compressor station can be described using a linear model. A dynamic, receding horizon optimisation problem is defined, where the free response prediction of the pipeline is obtained from a pipeline simulator and the optimal values of the decision variables are obtained solving a Quadratic Programming (QP) problem set up by using linear models, linearised constraints and quadratic approximations of the cost function, which is the energy consumption of the compressor stations (CSs). The problem is extended with discrete decision variables, the shutdown/start-up commands of CSs. A Mixed Logical Dynamical (MLD) system is defined, but the resulting Mixed Integer QP problem is shown to be very high-dimensional. Instead, a series of QP problems, each containing linear constraints modelling the shut down state of CSs, results in an optimisation problem with considerably smaller dimension. The receding horizon optimisation is tested in a simulation environment and comparison with data from the Finnish natural gas pipeline shows that 5 to 8 % savings in compressor energy consumption can be achieved using optimisation. A new idea, maximisation of energy consumption, is used to calculate maximal energy savings potential of the pipeline. A new result is that step response models used in conjunction with MLD systems do not produce the same model change behaviour than state space models. en
dc.format.extent 140
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Helsinki University of Technology en
dc.publisher Teknillinen korkeakoulu fi
dc.relation.ispartofseries Helsinki University of Technology, Automation Technology Laboratory. Series A, Research reports en
dc.relation.ispartofseries 27 en
dc.subject.other Automation en
dc.title Real-time receding horizon optimisation of gas pipeline networks en
dc.type G4 Monografiaväitöskirja fi
dc.description.version reviewed en
dc.contributor.department Department of Automation and Systems Technology en
dc.contributor.department Automaatio- ja systeemitekniikan osasto fi
dc.subject.keyword real-time optimisation en
dc.subject.keyword receding horizon optimisation en
dc.subject.keyword gas pipeline optimisation en
dc.subject.keyword gas pipeline optimal control en
dc.subject.keyword mixed logical dynamical systems en
dc.identifier.urn urn:nbn:fi:tkk-005245
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (monografia) fi
dc.type.ontasot Doctoral dissertation (monograph) en
dc.contributor.lab Automation Technology Laboratory en
dc.contributor.lab Automaatiotekniikan laboratorio fi
local.aalto.digifolder Aalto_63581
local.aalto.digiauth ask


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