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GasLib—A Library of Gas Network Instances

Authors :
Marc E. Pfetsch
Denis Aßmann
Jesco Humpola
Nikolaos Kanelakis
Robert Schwarz
Mathias Sirvent
Imke Joormann
Lars Schewe
Martin Schmidt
Robert Burlacu
Thorsten Koch
Djamal Oucherif
Source :
Data, Vol 2, Iss 4, p 40 (2017)
Publication Year :
2017
Publisher :
MDPI AG, 2017.

Abstract

The development of mathematical simulation and optimization models and algorithms for solving gas transport problems is an active field of research. In order to test and compare these models and algorithms, gas network instances together with demand data are needed. The goal of GasLib is to provide a set of publicly available gas network instances that can be used by researchers in the field of gas transport. The advantages are that researchers save time by using these instances and that different models and algorithms can be compared on the same specified test sets. The library instances are encoded in an XML (extensible markup language) format. In this paper, we explain this format and present the instances that are available in the library.

Details

ISSN :
23065729
Volume :
2
Database :
OpenAIRE
Journal :
Data
Accession number :
edsair.doi.dedup.....239724d0445055b07476d36cad7fc5f6
Full Text :
https://doi.org/10.3390/data2040040