Linearization of an MINLP model and its application to gas distribution optimization
Henrik Saxén and
Energy, 2018, vol. 146, issue C, 156-168
Natural gas is currently regarded as a “bridge fuel”, a more environmental-friendly alternative to fossil fuels such as oil or coal while in the transition towards the near-zero emission future. New gas sources allow using natural gas more extensively. Growing popularity of LNG, biogas or SNG might cause an increase in the natural gas consumption, especially in the power production or in transportation. Transportation of such gas fuels should be considered when designing the new extensions of the pipeline networks. Mathematical modelling and optimization are important tools used to solve the complex problem of a gas distribution optimization. The objective of this work is the development and application of a linearized MILP (mixed integer linear programming) formulation of a natural gas distribution network while covering all the technical and operational aspects such as the mass flows, pressures, compressor duties or changes of the mass flow directions. The multi-period formulation allows studying the influence of the seasonal changes and demand fluctuations on the optimal network structure. Use of the model is demonstrated by optimizing the existing Finnish natural gas network and its prospective extensions. The results provide a detailed insight into the interdependencies of the features within a gas network.
Keywords: Optimization; MILP; Linearization; Gas supply chain; Natural gas; LNG (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:146:y:2018:i:c:p:156-168
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().