Journal
DATA
Volume 2, Issue 4, Pages -Publisher
MDPI AG
DOI: 10.3390/data2040040
Keywords
gas transport; networks; problem instances; mixed-integer nonlinear optimization; GasLib
Funding
- German Federal Ministry of Economics and Technology
- DFG SFB/Transregio [A01, A05, A07, B06, B07, B08, Z01, Z02]
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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.
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