Power density characteristic analysis and multi-objective optimization of an irreversible porous medium engine cycle
Based on irreversible Porous Medium cycle model established in the previous literature, this paper investigates cycle optimal performance by taking cycle power density as optimization objective and applying finite time thermodynamics. Various parameters are used to examine relationships among power...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-07-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X22004002 |
| _version_ | 1818232452262395904 |
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| author | Pengchao Zang Yanlin Ge Lingen Chen Qirui Gong |
| author_facet | Pengchao Zang Yanlin Ge Lingen Chen Qirui Gong |
| author_sort | Pengchao Zang |
| collection | DOAJ |
| description | Based on irreversible Porous Medium cycle model established in the previous literature, this paper investigates cycle optimal performance by taking cycle power density as optimization objective and applying finite time thermodynamics. Various parameters are used to examine relationships among power density and thermal efficiency versus compression ratio. The cycle performance is compared under maximum power density circumstance and maximum power output circumstance. Compared with condition of maximum power output, the Porous Medium cycle engine gets higher thermal efficiency and smaller size under the maximum power density condition. One-, two-, three- and four-objective optimizations of the cycle are performed by using NSGA-II algorithm, choosing compression ratio as design variable, and choosing dimensionless power density, dimensionless power output, thermal efficiency, and dimensionless ecological function as optimization objectives. Using three decision schemes, LINMAP, TOPSIS and Shannon entropy, deviation indices under different optimization objective combinations are compared. For six two-objective optimizations, power output and thermal efficiency optimization has the smallest deviation index, 0.1215. For four three-objective optimizations, power output, ecological function and power density optimization has the smallest deviation index, 0.1235. For four-objective optimization, the deviation index is 0.1419. The appropriate solution should be selected according to the actual application. |
| first_indexed | 2024-12-12T11:06:30Z |
| format | Article |
| id | doaj.art-2ac151e961f14d56b2949d61e64c105d |
| institution | Directory Open Access Journal |
| issn | 2214-157X |
| language | English |
| last_indexed | 2024-12-12T11:06:30Z |
| publishDate | 2022-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj.art-2ac151e961f14d56b2949d61e64c105d2022-12-22T00:26:24ZengElsevierCase Studies in Thermal Engineering2214-157X2022-07-0135102154Power density characteristic analysis and multi-objective optimization of an irreversible porous medium engine cyclePengchao Zang0Yanlin Ge1Lingen Chen2Qirui Gong3Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan, 430205, China; Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan, 430205, China; School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan, 430205, ChinaInstitute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan, 430205, China; Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan, 430205, China; School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan, 430205, ChinaInstitute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan, 430205, China; Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan, 430205, China; School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan, 430205, China; Corresponding author. Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan, 430205, China.Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan, 430205, China; Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan, 430205, China; School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan, 430205, ChinaBased on irreversible Porous Medium cycle model established in the previous literature, this paper investigates cycle optimal performance by taking cycle power density as optimization objective and applying finite time thermodynamics. Various parameters are used to examine relationships among power density and thermal efficiency versus compression ratio. The cycle performance is compared under maximum power density circumstance and maximum power output circumstance. Compared with condition of maximum power output, the Porous Medium cycle engine gets higher thermal efficiency and smaller size under the maximum power density condition. One-, two-, three- and four-objective optimizations of the cycle are performed by using NSGA-II algorithm, choosing compression ratio as design variable, and choosing dimensionless power density, dimensionless power output, thermal efficiency, and dimensionless ecological function as optimization objectives. Using three decision schemes, LINMAP, TOPSIS and Shannon entropy, deviation indices under different optimization objective combinations are compared. For six two-objective optimizations, power output and thermal efficiency optimization has the smallest deviation index, 0.1215. For four three-objective optimizations, power output, ecological function and power density optimization has the smallest deviation index, 0.1235. For four-objective optimization, the deviation index is 0.1419. The appropriate solution should be selected according to the actual application.http://www.sciencedirect.com/science/article/pii/S2214157X22004002Irreversible porous medium cyclePower densityPower outputThermal efficiencyEcological functionFinite time thermodynamics |
| spellingShingle | Pengchao Zang Yanlin Ge Lingen Chen Qirui Gong Power density characteristic analysis and multi-objective optimization of an irreversible porous medium engine cycle Case Studies in Thermal Engineering Irreversible porous medium cycle Power density Power output Thermal efficiency Ecological function Finite time thermodynamics |
| title | Power density characteristic analysis and multi-objective optimization of an irreversible porous medium engine cycle |
| title_full | Power density characteristic analysis and multi-objective optimization of an irreversible porous medium engine cycle |
| title_fullStr | Power density characteristic analysis and multi-objective optimization of an irreversible porous medium engine cycle |
| title_full_unstemmed | Power density characteristic analysis and multi-objective optimization of an irreversible porous medium engine cycle |
| title_short | Power density characteristic analysis and multi-objective optimization of an irreversible porous medium engine cycle |
| title_sort | power density characteristic analysis and multi objective optimization of an irreversible porous medium engine cycle |
| topic | Irreversible porous medium cycle Power density Power output Thermal efficiency Ecological function Finite time thermodynamics |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X22004002 |
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