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Optimal Control of Natural Gas Pipeline Networks - Hans Aalto
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Hans Aalto:

Optimal Control of Natural Gas Pipeline Networks - neues Buch

ISBN: 9783639091113

ID: 117292539

Real-time optimisation of natural gas pipelines in transient conditions is a challenging problem. Many pipeline systems are, however, only mildly non-linear even in large transients such as compressor station (CS) shutdown or startup. 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 an approximate Quadratic Programming (QP)problem where the cost function is the energy consumption of the 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 sequence of QP problems is defined resulting in an optimisation problem with considerably smaller dimension. The receding horizon optimisation is tested in a simulation environment and comparison with data from a true natural gas pipeline shows 5 to 8 % savings in compressor energy consumption. A Real-Time, Model-Based, Receding HorizonOptimisation Approach Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Optimal Control of Natural Gas Pipeline Networks - A Real-Time, Model-Based, Receding HorizonOptimisation Approach
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Optimal Control of Natural Gas Pipeline Networks - A Real-Time, Model-Based, Receding HorizonOptimisation Approach - Taschenbuch

2008, ISBN: 9783639091113

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], Real-time optimisation of natural gas pipelines intransient conditions is a challenging problem. Manypipeline systems are, however, only mildly non-linear even in large transients such as compressorstation (CS) shutdown or startup. A dynamic,receding horizon optimisation problem is defined,where the free response prediction of the pipelineis obtained from a pipeline simulator and theoptimal values of the decision variables areobtained solving an approximate QuadraticProgramming (QP)problem where the cost function isthe energy consumption of the CSs. The problem isextended with discrete decision variables, theshutdown/start-up commands of CSs. A Mixed LogicalDynamical (MLD) system is defined, but the resultingMixed Integer QP problem is shown to be very high-dimensional. Instead, a sequence of QP problems isdefined resulting in an optimisation problem withconsiderably smaller dimension.The receding horizon optimisation is tested in asimulation environment and comparison with data froma true natural gas pipeline shows 5 to 8 % savingsin compressor energy consumption., [SC: 0.00], Neuware, gewerbliches Angebot, [GW: 266g]

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Optimal Control of Natural Gas Pipeline Networks - Hans Aalto
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Hans Aalto:
Optimal Control of Natural Gas Pipeline Networks - neues Buch

2008

ISBN: 9783639091113

ID: 600084489

Real-time optimisation of natural gas pipelines in transient conditions is a challenging problem. Many pipeline systems are, however, only mildly non- linear even in large transients such as compressor station (CS) shutdown or startup. 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 an approximate Quadratic Programming (QP)problem where the cost function is the energy consumption of the 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 sequence of QP problems is defined resulting in an optimisation problem with considerably smaller dimension. The receding horizon optimisation is tested in a simulation environment and comparison with data from a true natural gas pipeline shows 5 to 8 % savings in compressor energy consumption. A Real-Time, Model-Based, Receding HorizonOptimisation Approach Bücher > Fremdsprachige Bücher > Englische Bücher Taschenbuch 01.10.2008, VDM, .200

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Optimal Control of Natural Gas Pipeline Networks - Hans Aalto
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Hans Aalto:
Optimal Control of Natural Gas Pipeline Networks - neues Buch

ISBN: 9783639091113

ID: 196e88102a1f6620c6c44c4e4bef4ebb

A Real-Time, Model-Based, Receding HorizonOptimisation Approach Real-time optimisation of natural gas pipelines in transient conditions is a challenging problem. Many pipeline systems are, however, only mildly non- linear even in large transients such as compressor station (CS) shutdown or startup. 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 an approximate Quadratic Programming (QP)problem where the cost function is the energy consumption of the 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 sequence of QP problems is defined resulting in an optimisation problem with considerably smaller dimension. The receding horizon optimisation is tested in a simulation environment and comparison with data from a true natural gas pipeline shows 5 to 8 % savings in compressor energy consumption. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-639-09111-3, VDM

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Optimal Control of Natural Gas Pipeline Networks - Hans Aalto
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Hans Aalto:
Optimal Control of Natural Gas Pipeline Networks - neues Buch

ISBN: 9783639091113

ID: 209363997

Real-time optimisation of natural gas pipelines in transient conditions is a challenging problem. Many pipeline systems are, however, only mildly non- linear even in large transients such as compressor station (CS) shutdown or startup. 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 an approximate Quadratic Programming (QP)problem where the cost function is the energy consumption of the 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 sequence of QP problems is defined resulting in an optimisation problem with considerably smaller dimension. The receding horizon optimisation is tested in a simulation environment and comparison with data from a true natural gas pipeline shows 5 to 8 % savings in compressor energy consumption. A Real-Time, Model-Based, Receding HorizonOptimisation Approach Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, VDM

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Optimal Control of Natural Gas Pipeline Networks
Autor:

Hans Aalto

Titel:

Optimal Control of Natural Gas Pipeline Networks

ISBN-Nummer:

3639091116

Real-time optimisation of natural gas pipelines in transient conditions is a challenging problem. Many pipeline systems are, however, only mildly non- linear even in large transients such as compressor station (CS) shutdown or startup. 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 an approximate Quadratic Programming (QP)problem where the cost function is the energy consumption of the 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 sequence of QP problems is defined resulting in an optimisation problem with considerably smaller dimension. The receding horizon optimisation is tested in a simulation environment and comparison with data from a true natural gas pipeline shows 5 to 8 % savings in compressor energy consumption.

Detailangaben zum Buch - Optimal Control of Natural Gas Pipeline Networks


EAN (ISBN-13): 9783639091113
ISBN (ISBN-10): 3639091116
Taschenbuch
Erscheinungsjahr: 2008
Herausgeber: VDM Verlag
188 Seiten
Gewicht: 0,296 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 16.12.2008 19:25:05
Buch zuletzt gefunden am 05.11.2016 20:07:22
ISBN/EAN: 3639091116

ISBN - alternative Schreibweisen:
3-639-09111-6, 978-3-639-09111-3

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