A Framework for Multi-Objective Optimization of Plate-Fin Heat Exchangers Using a Detailed Three-Dimensional Simulation Model
The design of a multi-stream plate-fin heat exchanger is a highly integrated task with multiple opposing objectives and many degrees of freedom. This work shows how it can be fully or partially automated by the combination of a detailed three-dimensional simulation model and an optimization routine....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | ChemEngineering |
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| Online Access: | https://www.mdpi.com/2305-7084/5/4/82 |
| _version_ | 1797505898154819584 |
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| author | Patrick Haider Paul Heinz Thomas Acher Sebastian Rehfeldt Harald Klein |
| author_facet | Patrick Haider Paul Heinz Thomas Acher Sebastian Rehfeldt Harald Klein |
| author_sort | Patrick Haider |
| collection | DOAJ |
| description | The design of a multi-stream plate-fin heat exchanger is a highly integrated task with multiple opposing objectives and many degrees of freedom. This work shows how it can be fully or partially automated by the combination of a detailed three-dimensional simulation model and an optimization routine. The desired task is formulated as the target of a multi-objective optimization and solved using a genetic algorithm. The workflow is presented using a cryogenic plate-fin heat exchanger with four process streams. The design is optimized towards high efficiency, low pressure drop, and low unit weight by adjusting the outer geometry, the inlet and outlet distributor configuration, and the detailed stream geometry. A detailed analysis of the Pareto-set gives a good overview of possible solutions, and the optimization routine can automatically find a feasible design with a reasonable tradeoff between the objectives. All elements of the framework are implemented in open source software. A highlight of this research is that a very comprehensive and detailed simulation model is employed in the optimization framework. Thus, the presented method can be easily adjusted to fit the needs of other engineering tasks. |
| first_indexed | 2024-03-10T04:24:54Z |
| format | Article |
| id | doaj.art-84ef2b4746d9424a9507be150df56651 |
| institution | Directory Open Access Journal |
| issn | 2305-7084 |
| language | English |
| last_indexed | 2024-03-10T04:24:54Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ChemEngineering |
| spelling | doaj.art-84ef2b4746d9424a9507be150df566512023-11-23T07:40:44ZengMDPI AGChemEngineering2305-70842021-12-01548210.3390/chemengineering5040082A Framework for Multi-Objective Optimization of Plate-Fin Heat Exchangers Using a Detailed Three-Dimensional Simulation ModelPatrick Haider0Paul Heinz1Thomas Acher2Sebastian Rehfeldt3Harald Klein4Institute of Plant and Process Technology, Department of Energy and Process Engineering, TUM School of Engineering and Design, Technical University of Munich, 85748 Garching, GermanyLinde GmbH, Linde Engineering, 82049 Pullach, GermanyLinde GmbH, Linde Engineering, 82049 Pullach, GermanyInstitute of Plant and Process Technology, Department of Energy and Process Engineering, TUM School of Engineering and Design, Technical University of Munich, 85748 Garching, GermanyInstitute of Plant and Process Technology, Department of Energy and Process Engineering, TUM School of Engineering and Design, Technical University of Munich, 85748 Garching, GermanyThe design of a multi-stream plate-fin heat exchanger is a highly integrated task with multiple opposing objectives and many degrees of freedom. This work shows how it can be fully or partially automated by the combination of a detailed three-dimensional simulation model and an optimization routine. The desired task is formulated as the target of a multi-objective optimization and solved using a genetic algorithm. The workflow is presented using a cryogenic plate-fin heat exchanger with four process streams. The design is optimized towards high efficiency, low pressure drop, and low unit weight by adjusting the outer geometry, the inlet and outlet distributor configuration, and the detailed stream geometry. A detailed analysis of the Pareto-set gives a good overview of possible solutions, and the optimization routine can automatically find a feasible design with a reasonable tradeoff between the objectives. All elements of the framework are implemented in open source software. A highlight of this research is that a very comprehensive and detailed simulation model is employed in the optimization framework. Thus, the presented method can be easily adjusted to fit the needs of other engineering tasks.https://www.mdpi.com/2305-7084/5/4/82plate-fin heat exchangerdesign optimizationcomputational fluid dynamicsmulti-objective optimizationgenetic algorithm |
| spellingShingle | Patrick Haider Paul Heinz Thomas Acher Sebastian Rehfeldt Harald Klein A Framework for Multi-Objective Optimization of Plate-Fin Heat Exchangers Using a Detailed Three-Dimensional Simulation Model ChemEngineering plate-fin heat exchanger design optimization computational fluid dynamics multi-objective optimization genetic algorithm |
| title | A Framework for Multi-Objective Optimization of Plate-Fin Heat Exchangers Using a Detailed Three-Dimensional Simulation Model |
| title_full | A Framework for Multi-Objective Optimization of Plate-Fin Heat Exchangers Using a Detailed Three-Dimensional Simulation Model |
| title_fullStr | A Framework for Multi-Objective Optimization of Plate-Fin Heat Exchangers Using a Detailed Three-Dimensional Simulation Model |
| title_full_unstemmed | A Framework for Multi-Objective Optimization of Plate-Fin Heat Exchangers Using a Detailed Three-Dimensional Simulation Model |
| title_short | A Framework for Multi-Objective Optimization of Plate-Fin Heat Exchangers Using a Detailed Three-Dimensional Simulation Model |
| title_sort | framework for multi objective optimization of plate fin heat exchangers using a detailed three dimensional simulation model |
| topic | plate-fin heat exchanger design optimization computational fluid dynamics multi-objective optimization genetic algorithm |
| url | https://www.mdpi.com/2305-7084/5/4/82 |
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