| Thermodynamic optimization of Rankine cycle using CO2-based binary zeotropic mixture for ocean thermal energy conversion | |
Li CY1 ; Pan LS(潘利生)2; Wang YZ3
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| Source Publication | APPLIED THERMAL ENGINEERING
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| 2020-09-01 | |
| Volume | 178Pages:15 |
| ISSN | 1359-4311 |
| Abstract | This work provides an exploration on improving the performance of a closed ocean thermal energy conversion (OTEC) system. In order to approach the Lorenz cycle and obtain better thermal matching, a Rankine cycle using CO2-based binary zeotropic mixtures is considered. Six organic working fluids, including R134a, R152a, R161, R1234yf, R1234ze(E) and R32, are selected to be additives for binary mixtures, in addition, various concentrations of CO2 are investigated in order to obtain varying temperature glide. Besides, pure working fluids, including NH3 and CO2, are also comparatively investigated with the mixtures. The specific net power output and thermal efficiency are used to evaluate OTEC thermodynamic performance, and the ratio of net power output to total heat transfer area is adopted for a preliminary economic analysis. Different effects on cycle performance are analyzed. Finally, an overall optimization to maximize the system thermal efficiency and specific work are carried out, respectively. The simulation is based on a designed Matlab program. The results indicate that CO2-based binary zeotropic mixtures could improve thermodynamic coupling of cycle and external seawater, achieving a deeper heat utilization of warm/cold seawater than that of pure working fluid. The performance of Rankine cycle is affected by the mixture composition, and composition at which mixture has evaporating temperature glide of 7-8 degrees C is recommended. The binary mixtures produce larger specific power output than pure working fluids, and CO2/R32 (0.76/0.24 wt%) produces the maximum value of 0.696 kJ/kg, nearly 38% higher than that of pure NH3. Although the mixtures are inferior to NH3 according to preliminary economic analysis. The thermodynamic findings still prove that Rankine cycle with CO2-based binary mixture is a promising alternative for OTEC system. |
| Keyword | OTEC (Ocean Thermal Energy Conversion) CO2-based mixture Performance evaluation Optimization design |
| DOI | 10.1016/j.applthermaleng.2020.115617 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:000552131100099 |
| WOS Keyword | HEAT-TRANSFER ; WORKING FLUIDS ; PRESSURE-DROP ; PERFORMANCE SIMULATION ; POWER-PLANT ; DESIGN ; SYSTEM ; OUTPUT ; R-410A ; FLOW |
| WOS Research Area | Thermodynamics ; Energy & Fuels ; Engineering ; Mechanics |
| WOS Subject | Thermodynamics ; Energy & Fuels ; Engineering, Mechanical ; Mechanics |
| Funding Organization | China Postdoctoral Science Foundation[2018M641349] ; Zibo City - Shandong University of Technology Cooperative Projects[2019ZBXC081] |
| Classification | 一类 |
| Ranking | 1 |
| Contributor | Pan, Lisheng ; Wang, Yongzhen |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/84731 |
| Collection | 高温气体动力学国家重点实验室 |
| Affiliation | 1.Shandong Univ Technol, Sch Transportat & Vehicle Engn, Zibo 255000, Peoples R China; 2.Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China; 3.Tsinghua Univ, Energy Internet Res Inst, Dept Elect Engn, Beijing 100084, Peoples R China |
| Recommended Citation GB/T 7714 | Li CY,Pan LS,Wang YZ. Thermodynamic optimization of Rankine cycle using CO2-based binary zeotropic mixture for ocean thermal energy conversion[J]. APPLIED THERMAL ENGINEERING,2020,178:15.Rp_Au:Pan, Lisheng, Wang, Yongzhen |
| APA | Li CY,潘利生,&Wang YZ.(2020).Thermodynamic optimization of Rankine cycle using CO2-based binary zeotropic mixture for ocean thermal energy conversion.APPLIED THERMAL ENGINEERING,178,15. |
| MLA | Li CY,et al."Thermodynamic optimization of Rankine cycle using CO2-based binary zeotropic mixture for ocean thermal energy conversion".APPLIED THERMAL ENGINEERING 178(2020):15. |
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| Jp2020175.pdf（2059KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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