Multiobjective Thermoeconomic Optimization of the LNG Cold Utilized Micro-cogeneration System
Liquefied natural gas (LNG) cold utilization systems are feasible options for the inland and stranded regions where the conventional pipeline technology is challenging. For the best operation conditions of the systems in the real engineering applications, the optimization is a significant step after...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
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2018
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| Online Access: | https://hdl.handle.net/10356/88499 http://hdl.handle.net/10220/44896 |
| _version_ | 1826124130592751616 |
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| author | Kanbur, Baris Burak Dubey, Swapnil Fei, Duan Choo, Fook Hoong Xiang, Liming |
| author2 | Interdisciplinary Graduate School (IGS) |
| author_facet | Interdisciplinary Graduate School (IGS) Kanbur, Baris Burak Dubey, Swapnil Fei, Duan Choo, Fook Hoong Xiang, Liming |
| author_sort | Kanbur, Baris Burak |
| collection | NTU |
| description | Liquefied natural gas (LNG) cold utilization systems are feasible options for the inland and stranded regions where the conventional pipeline technology is challenging. For the best operation conditions of the systems in the real engineering applications, the optimization is a significant step after the design and analysis steps. This study aims to optimize an LNG cold utilized micro-cogeneration system by using the multiobjective optimization strategy with the genetic algorithm. Thermodynamic and thermoeconomic investigations are performed, and then the multiobjective optimization study is carried out according to the net generated power rate, exergetic efficiency, and the levelized product cost as multiobjectives. The study is conducted between 288.15 K and 313.15 K, and the optimum operation conditions are detected between 301.0 K and 302.5 K with respect to the different relative humidities. |
| first_indexed | 2024-10-01T06:15:38Z |
| format | Conference Paper |
| id | ntu-10356/88499 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:15:38Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/884992021-01-10T11:48:56Z Multiobjective Thermoeconomic Optimization of the LNG Cold Utilized Micro-cogeneration System Kanbur, Baris Burak Dubey, Swapnil Fei, Duan Choo, Fook Hoong Xiang, Liming Interdisciplinary Graduate School (IGS) School of Mechanical and Aerospace Engineering School of Physical and Mathematical Sciences 2018 2nd International Conference on Green Energy and Applications Energy Research Institute @ NTU (ERI@N) Multiobjective Optimization Genetic Algorithm Liquefied natural gas (LNG) cold utilization systems are feasible options for the inland and stranded regions where the conventional pipeline technology is challenging. For the best operation conditions of the systems in the real engineering applications, the optimization is a significant step after the design and analysis steps. This study aims to optimize an LNG cold utilized micro-cogeneration system by using the multiobjective optimization strategy with the genetic algorithm. Thermodynamic and thermoeconomic investigations are performed, and then the multiobjective optimization study is carried out according to the net generated power rate, exergetic efficiency, and the levelized product cost as multiobjectives. The study is conducted between 288.15 K and 313.15 K, and the optimum operation conditions are detected between 301.0 K and 302.5 K with respect to the different relative humidities. NRF (Natl Research Foundation, S’pore) Accepted version 2018-05-25T04:17:23Z 2019-12-06T17:04:36Z 2018-05-25T04:17:23Z 2019-12-06T17:04:36Z 2018 Conference Paper https://hdl.handle.net/10356/88499 http://hdl.handle.net/10220/44896 10.1109/ICGEA.2018.8356288 en © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/ICGEA.2018.8356288]. 5 p. application/pdf |
| spellingShingle | Multiobjective Optimization Genetic Algorithm Kanbur, Baris Burak Dubey, Swapnil Fei, Duan Choo, Fook Hoong Xiang, Liming Multiobjective Thermoeconomic Optimization of the LNG Cold Utilized Micro-cogeneration System |
| title | Multiobjective Thermoeconomic Optimization of the LNG Cold Utilized Micro-cogeneration System |
| title_full | Multiobjective Thermoeconomic Optimization of the LNG Cold Utilized Micro-cogeneration System |
| title_fullStr | Multiobjective Thermoeconomic Optimization of the LNG Cold Utilized Micro-cogeneration System |
| title_full_unstemmed | Multiobjective Thermoeconomic Optimization of the LNG Cold Utilized Micro-cogeneration System |
| title_short | Multiobjective Thermoeconomic Optimization of the LNG Cold Utilized Micro-cogeneration System |
| title_sort | multiobjective thermoeconomic optimization of the lng cold utilized micro cogeneration system |
| topic | Multiobjective Optimization Genetic Algorithm |
| url | https://hdl.handle.net/10356/88499 http://hdl.handle.net/10220/44896 |
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