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Data · dataset · 2022

Application of genetic algorithm to a gas network for flow optimization

Listed in Teesside University Research Data Repository

This Contains codes for Flow optimization, where the flows of four pies are encoded as genes and a genetic algorithm Search s for the best flow combination that results in the least summation of the pressure drop for every loop in both compressors stations.

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Where it is published

Catalogue records · 1

Topics

From keywords
Earth & Environmental Science · Energy · Engineering · Petroleum and reservoir engineering
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/g7nb7b9ys7.26 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].anzsrc:field:401907mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Petroleum Engineering']
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:energymapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title