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2018 | OriginalPaper | Chapter

37. Metaheuristics for Natural Gas Pipeline Networks

Author: Roger Z. Ríos-Mercado

Published in: Handbook of Heuristics

Publisher: Springer International Publishing

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Abstract

In this chapter an overview of metaheuristic algorithms that have been very successful in tackling a particular class of natural gas pipeline network optimization problems is presented. In particular, the problem of minimizing fuel consumption incurred by the compressor stations driving natural gas in pipeline networks is addressed. This problem has been studied from different angles over the past few years by virtue of its tremendous economical impact. First, a general mathematical framework for this class of problems is presented. After establishing the most relevant model properties and fundamental network topologies, which are key factors for choosing an appropriate solution technique, current state-of-the-art metaheuristics are presented for handling different versions of this problem. This work concludes by highlighting the most relevant and important challenges of this very exciting area of research in natural gas transportation networks.
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Metadata
Title
Metaheuristics for Natural Gas Pipeline Networks
Author
Roger Z. Ríos-Mercado
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-07124-4_51

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