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Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics
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| Veröffentlicht in: | Energy reports 5(2019) vom: Nov., Seite 1551-1559 |
|---|---|
| Personen und Körperschaften: | , , , , |
| Titel: | Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics/ Yan Cao, Yujia Wu, Leijie Fu, Kittisak Jermsittiparsert, Navid Razmjooy |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
2019
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| Gesamtaufnahme: |
: Energy reports, 5(2019) vom: Nov., Seite 1551-1559
, volume:5 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 520 | |a This paper presents a multi-criteria economics, environment, and thermodynamics assessment for a combined cooling, heating, and power (CCHP) system consist of a heat recovery system, a small absorption chiller, a 5kW PEMFC stack, gas compressor, and a humidifier. This study presents an improved version of a new optimization technique called improved emperor penguin optimization (IEPO) algorithm for optimizing the system efficiency. After simulations, the system is analyzed in terms of energy and exergy efficiencies, annual cost, and pollutant emission reduction. Simulation results declare low operating temperature develop GHG emission reduction, high relative humidity, pressure of inlet gases, and system exergy performance. The results of the IEPO algorithm are the compared with the standard EPO and also NSGA-II as a widely used optimization algorithm for showing the superiority of the algorithm. | ||
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| contents | This paper presents a multi-criteria economics, environment, and thermodynamics assessment for a combined cooling, heating, and power (CCHP) system consist of a heat recovery system, a small absorption chiller, a 5kW PEMFC stack, gas compressor, and a humidifier. This study presents an improved version of a new optimization technique called improved emperor penguin optimization (IEPO) algorithm for optimizing the system efficiency. After simulations, the system is analyzed in terms of energy and exergy efficiencies, annual cost, and pollutant emission reduction. Simulation results declare low operating temperature develop GHG emission reduction, high relative humidity, pressure of inlet gases, and system exergy performance. The results of the IEPO algorithm are the compared with the standard EPO and also NSGA-II as a widely used optimization algorithm for showing the superiority of the algorithm. |
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| spelling | Cao, Yan VerfasserIn (DE-588)1200668731 (DE-627)1683827473 aut, Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics Yan Cao, Yujia Wu, Leijie Fu, Kittisak Jermsittiparsert, Navid Razmjooy, 2019, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, This paper presents a multi-criteria economics, environment, and thermodynamics assessment for a combined cooling, heating, and power (CCHP) system consist of a heat recovery system, a small absorption chiller, a 5kW PEMFC stack, gas compressor, and a humidifier. This study presents an improved version of a new optimization technique called improved emperor penguin optimization (IEPO) algorithm for optimizing the system efficiency. After simulations, the system is analyzed in terms of energy and exergy efficiencies, annual cost, and pollutant emission reduction. Simulation results declare low operating temperature develop GHG emission reduction, high relative humidity, pressure of inlet gases, and system exergy performance. The results of the IEPO algorithm are the compared with the standard EPO and also NSGA-II as a widely used optimization algorithm for showing the superiority of the algorithm., Aufsatz in Zeitschrift DE-206, Wu, Yujia VerfasserIn aut, Fu, Leijie VerfasserIn (DE-588)1200668863 (DE-627)1683827546 aut, Kittisak Jermsittiparsert 1985- VerfasserIn (DE-588)1184332649 (DE-627)1663488800 aut, Razmjooy, Navid VerfasserIn aut, Enthalten in Energy reports Amsterdam [u.a.] : Elsevier, 2015 5(2019) vom: Nov., Seite 1551-1559 Online-Ressource (DE-627)820689033 (DE-600)2814795-9 (DE-576)427950821 2352-4847 nnns, volume:5 year:2019 month:11 pages:1551-1559, https://doi.org/10.1016/j.egyr.2019.10.029 Resolving-System kostenfrei, https://www.sciencedirect.com/science/article/pii/S2352484719307486/pdfft?md5=9aec981cfa209941cb79ef8b0b746020&pid=1-s2.0-S2352484719307486-main.pdf Verlag kostenfrei, http://hdl.handle.net/10419/243692 Resolving-System kostenfrei, https://creativecommons.org/licenses/by-nc-nd/4.0/ Verlag Terms of use, https://doi.org/10.1016/j.egyr.2019.10.029 LFER, https://www.sciencedirect.com/science/article/pii/S2352484719307486/pdfft?md5=9aec981cfa209941cb79ef8b0b746020&pid=1-s2.0-S2352484719307486-main.pdf LFER, LFER 2020-02-17T00:00:00Z |
| spellingShingle | Cao, Yan, Wu, Yujia, Fu, Leijie, Kittisak Jermsittiparsert, Razmjooy, Navid, Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics, This paper presents a multi-criteria economics, environment, and thermodynamics assessment for a combined cooling, heating, and power (CCHP) system consist of a heat recovery system, a small absorption chiller, a 5kW PEMFC stack, gas compressor, and a humidifier. This study presents an improved version of a new optimization technique called improved emperor penguin optimization (IEPO) algorithm for optimizing the system efficiency. After simulations, the system is analyzed in terms of energy and exergy efficiencies, annual cost, and pollutant emission reduction. Simulation results declare low operating temperature develop GHG emission reduction, high relative humidity, pressure of inlet gases, and system exergy performance. The results of the IEPO algorithm are the compared with the standard EPO and also NSGA-II as a widely used optimization algorithm for showing the superiority of the algorithm., Aufsatz in Zeitschrift |
| title | Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics |
| title_auth | Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics |
| title_full | Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics Yan Cao, Yujia Wu, Leijie Fu, Kittisak Jermsittiparsert, Navid Razmjooy |
| title_fullStr | Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics Yan Cao, Yujia Wu, Leijie Fu, Kittisak Jermsittiparsert, Navid Razmjooy |
| title_full_unstemmed | Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics Yan Cao, Yujia Wu, Leijie Fu, Kittisak Jermsittiparsert, Navid Razmjooy |
| title_in_hierarchy | Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics / Yan Cao, Yujia Wu, Leijie Fu, Kittisak Jermsittiparsert, Navid Razmjooy, |
| title_short | Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics |
| title_sort | multi objective optimization of a pemfc based cchp system by meta heuristics |
| topic | Aufsatz in Zeitschrift |
| topic_facet | Aufsatz in Zeitschrift |
| url | https://doi.org/10.1016/j.egyr.2019.10.029, https://www.sciencedirect.com/science/article/pii/S2352484719307486/pdfft?md5=9aec981cfa209941cb79ef8b0b746020&pid=1-s2.0-S2352484719307486-main.pdf, http://hdl.handle.net/10419/243692, https://creativecommons.org/licenses/by-nc-nd/4.0/ |