Print Email Facebook Twitter Comparing severe gas transport situations through the network: Similarity or reduction methods Title Comparing severe gas transport situations through the network: Similarity or reduction methods Author Lindenberg, K. Contributor Vuik, C. (mentor) Dijkhuis, H. (mentor) Steringa, J.J. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Applied Mathematics Programme Numerical Analysis Date 2015-08-26 Abstract A number of severe entry-exit combinations is selected, to investigate whether or not all possible future gas transport situations through the gas transport network of Gasunie Transport Services can be met. These severe entry-exit combinations are selected, such that if the transport capacity is manageable regarding the pipeline network for these entry-exit combinations, then it is possible to satisfy all possible entry-exit combinations. In short, these severe entry-exit combinations represent the most severe transport situations through the gas network within contractual limits, describing realistic market behavior, and determining the size and shape of the gas transport network. These are often called shipping variants or stress tests. These stress tests are denoted by vectors which components represent the gas capacities at entry and exit points. If a large set of stress tests is generated, then it takes a relatively large amount of time to evaluatethesestresstests. The aim of this project is, therefore, to reduce this generated set as much as possible. When reducing this set, we have to make sure that we derive a minimal set, which is still a complete set. So, our goal is to delete identical stress tests from the generated set, but also less severe transport situations. This report focuses on the quadratic form distance, which can measure similarities between vectors for which the individual components are correlated. In addition, some generated sets of stress tests are reduced according to reducing criteria. Subject gas transportquadratic form distancesimilarity searchpositive semidefinite To reference this document use: http://resolver.tudelft.nl/uuid:f110568e-def4-4664-9839-9b30ce5c42b1 Part of collection Student theses Document type master thesis Rights (c) 2015 Lindenberg, K. Files PDF mscThesis_KLindenberg_.pdf 3.4 MB Close viewer /islandora/object/uuid:f110568e-def4-4664-9839-9b30ce5c42b1/datastream/OBJ/view