Multi-objective approach for a combined heat and power geothermal plant optimization.
| Title: | Multi-objective approach for a combined heat and power geothermal plant optimization. |
|---|---|
| Authors: | Marty, Fabien, Sochard, Sabine, Serra, Sylvain, Reneaume, Jean-Michel |
| Source: | Chemical Product & Process Modeling; 2021, Vol. 16 Issue 3, p205-228, 24p |
| Subject Terms: | GEOTHERMAL power plants, PROBLEM solving, COGENERATION of electric power & heat, RANKINE cycle, INTEGER programming, WORKING fluids |
| Abstract: | This paper presents the simultaneous optimization of the design and operation in nominal conditions of a geothermal plant where the geothermal fluid is split into two streams to feed an Organic Rankine Cycle (ORC) and a District Heating Network (DHN). The topology of the DHN is also investigated. A Mixed Integer Non-Linear Programming (MINLP) optimization problem is formulated and solved using the GAMS software in order to determine the ORC sizing and the DHN topology. In this study, only R-245fa is used as ORC working fluid, an optional Internal Heat Exchanger (IHE) is considered in the ORC and consumers in DHN can be definite or optional. A multi-objective optimization is performed by maximizing the annual net profit and minimizing the total exergy losses in the plant. The weighted sum of objective functions is used to solve the problem. By varying the weight factor, a Pareto front is obtained and the distance to the ideal, but infeasible, solution enabled to choose the best compromise. Four different DHN topologies are observed depending on the weight factor. Using a suitable criterion to make a decision, the selected configuration corresponds to the most expanded DHN with the smallest value of profit. A sensitive analysis shows that, in case of lower geothermal temperature, it is possible to obtain a unique DHN topology whatever the weight factor. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-objective approach for a combined heat and power geothermal plant optimization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Marty%2C+Fabien%22">Marty, Fabien</searchLink><br /><searchLink fieldCode="AR" term="%22Sochard%2C+Sabine%22">Sochard, Sabine</searchLink><br /><searchLink fieldCode="AR" term="%22Serra%2C+Sylvain%22">Serra, Sylvain</searchLink><br /><searchLink fieldCode="AR" term="%22Reneaume%2C+Jean-Michel%22">Reneaume, Jean-Michel</searchLink> – Name: TitleSource Label: Source Group: Src Data: Chemical Product & Process Modeling; 2021, Vol. 16 Issue 3, p205-228, 24p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22GEOTHERMAL+power+plants%22">GEOTHERMAL power plants</searchLink><br /><searchLink fieldCode="DE" term="%22PROBLEM+solving%22">PROBLEM solving</searchLink><br /><searchLink fieldCode="DE" term="%22COGENERATION+of+electric+power+%26+heat%22">COGENERATION of electric power & heat</searchLink><br /><searchLink fieldCode="DE" term="%22RANKINE+cycle%22">RANKINE cycle</searchLink><br /><searchLink fieldCode="DE" term="%22INTEGER+programming%22">INTEGER programming</searchLink><br /><searchLink fieldCode="DE" term="%22WORKING+fluids%22">WORKING fluids</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents the simultaneous optimization of the design and operation in nominal conditions of a geothermal plant where the geothermal fluid is split into two streams to feed an Organic Rankine Cycle (ORC) and a District Heating Network (DHN). The topology of the DHN is also investigated. A Mixed Integer Non-Linear Programming (MINLP) optimization problem is formulated and solved using the GAMS software in order to determine the ORC sizing and the DHN topology. In this study, only R-245fa is used as ORC working fluid, an optional Internal Heat Exchanger (IHE) is considered in the ORC and consumers in DHN can be definite or optional. A multi-objective optimization is performed by maximizing the annual net profit and minimizing the total exergy losses in the plant. The weighted sum of objective functions is used to solve the problem. By varying the weight factor, a Pareto front is obtained and the distance to the ideal, but infeasible, solution enabled to choose the best compromise. Four different DHN topologies are observed depending on the weight factor. Using a suitable criterion to make a decision, the selected configuration corresponds to the most expanded DHN with the smallest value of profit. A sensitive analysis shows that, in case of lower geothermal temperature, it is possible to obtain a unique DHN topology whatever the weight factor. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Chemical Product & Process Modeling is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1515/cppm-2020-0008 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 205 Subjects: – SubjectFull: GEOTHERMAL power plants Type: general – SubjectFull: PROBLEM solving Type: general – SubjectFull: COGENERATION of electric power & heat Type: general – SubjectFull: RANKINE cycle Type: general – SubjectFull: INTEGER programming Type: general – SubjectFull: WORKING fluids Type: general Titles: – TitleFull: Multi-objective approach for a combined heat and power geothermal plant optimization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Marty, Fabien – PersonEntity: Name: NameFull: Sochard, Sabine – PersonEntity: Name: NameFull: Serra, Sylvain – PersonEntity: Name: NameFull: Reneaume, Jean-Michel IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 19342659 Numbering: – Type: volume Value: 16 – Type: issue Value: 3 Titles: – TitleFull: Chemical Product & Process Modeling Type: main |
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