2010
DOI: 10.2495/hpsm100361
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Optimal design of underground gas storage

Abstract: This paper presents the cost optimization of an underground gas storage (UGS), designed from lined rock caverns (LRCs). The optimization is performed by the non-linear programming (NLP) approach. For this purpose, the NLP optimization model OPTUGS was developed. The model comprises the cost objective function, which is subjected to geomechanical and design constraints. It is proposed that the geotechnical problem will be solved simultaneously. In such a way, the optimization enables not only that the solution … Show more

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Cited by 6 publications
(6 citation statements)
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References 8 publications
(7 reference statements)
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“…We present a continuation of earlier research in which non-linear programming (NLP) optimization of a single gas cavern was described by Kravanja and Žlender (2010) and later extended to optimization of an entire UGS with any number of caverns by Žlender and Kravanja (2011), and to the optimization in different rock environments by Kravanja and Žlender (2012) and Jelušič et al (2019). The latter reference introduced a prediction of the minimal investment costs for the UGSs, with capacities from 10 to 100 million m 3 of natural gas, with the help of an adaptive network based fuzzy inference system (ANFIS).…”
Section: Discussionmentioning
confidence: 97%
“…We present a continuation of earlier research in which non-linear programming (NLP) optimization of a single gas cavern was described by Kravanja and Žlender (2010) and later extended to optimization of an entire UGS with any number of caverns by Žlender and Kravanja (2011), and to the optimization in different rock environments by Kravanja and Žlender (2012) and Jelušič et al (2019). The latter reference introduced a prediction of the minimal investment costs for the UGSs, with capacities from 10 to 100 million m 3 of natural gas, with the help of an adaptive network based fuzzy inference system (ANFIS).…”
Section: Discussionmentioning
confidence: 97%
“…The MINLP optimization model includes similar constraints as in Kravanja and Žlender (2010) and in Kravanja and Žula (2018). Cost items and prices defined in the cost objective function are the same as those used in the project and our previous optimizations; see Table 1.…”
Section: Numerical Examplementioning
confidence: 99%
“…The UGS in Senovo is planned to be constructed with four LRCs of 5.56 million m 3 of natural gas capacity each; see Žlender and Kravanja (2011). The MINLP optimization model includes similar constraints as in Kravanja and Žlender (2010) and in Kravanja and Žula (2018). Cost items and prices defined in the cost objective function are the same as those used in the project and our previous optimizations; see Table 1.…”
Section: Numerical Examplementioning
confidence: 99%