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Conference object . 2013
Data sources: CNR ExploRA
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Conference object . 2013
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https://doi.org/10.23919/ecc.2...
Article . 2013 . Peer-reviewed
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Conference object . 2021
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Load sharing optimization of parallel compressors

Authors: F. Paparella; L. F. Domnguez; A. Cortinovis; M. Mercangoz; D. Parecshi; BITTANTI, SERGIO;

Load sharing optimization of parallel compressors

Abstract

This paper deals with the problem of optimizing the load distribution and the on/off switching sequences of parallel compressor units in natural gas pipeline compression stations. Natural gas pipelines are used to deliver gas from production sources to customers. Compression stations on these pipelines are generally composed of the interconnection of several compressors units and the aim of the load sharing optimization is to operate these units in an energy efficient way while continuously satisfying the varying demand of gas flow. As the gas demand changes start-up and shut-down of compressor units might be required and the impact of these switching events on the expected lifetime of the compressors also needs to be taken into consideration. Two types of operational constraints are involved: continuous constraints concerning the conservation equations of mass and flow and combinatorial constraints concerning the possibility of changing the number of active compressors. Overall the optimization problem can be formulated as a mixed integer nonlinear programming (MINLP) problem. In this article the generic optimization problem setup and appropriate techniques for the solution are presented. Compared to other traditional strategies such as equal load balancing or equal distance operation from surge, the MINLP approach has shown considerable improvement in terms of energy savings.

Country
Italy
Keywords

Appropriate techniques; Conservation equations; Continuous constraints; Generic optimization; Mixed integer non-linear programming problems; Natural gas pipeline compression; Operational constraints; Optimization problems

  • BIP!
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Average
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