Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy
文献类型：期刊论文
| 作者 | Wang, Lingbao; Li, Huashan ; Bu, Xianbiao1
|
| 刊名 | APPLIED THERMAL ENGINEERING
 |
| 出版日期 | 2020-02-05 |
| 卷号 | 166页码:8 |
| 关键词 | Geothermal energy Binary flashing cycle Multi-objective optimization Non-dominated sorting genetic algorithm II TOPSIS method |
| ISSN号 | 1359-4311 |
| DOI | 10.1016/j.applthermaleng.2019.114693 |
| 通讯作者 | Bu, Xianbiao(buxb@ms.giec.ac.cn) |
| 英文摘要 | The binary flashing cycle (BFC) has been demonstrated to be a promising technology for geothermal energy utilization due to higher net power output. Considering both thermodynamic and economic factor simultaneously, the multi-objective optimization on the BFC has been investigated using non-dominated sorting algorithm-II. Two conflicting objectives including net power output and heat exchanger area of the system are taken into account to build a set of Pareto optimal solutions. The results show that the system achieve the maximum net power output with maximum heat exchanger area, and the minimum net power output with the minimum heat exchanger area. The relationships between the net power output and heat exchanger area in the Pareto frontier solution are fitted. TOPSIS method (Technique for Order Preference by Similarity to Ideal Situation) is applied to select the final solution on the Pareto frontier. The effects of weight factor for net power output on the objectives and decision variables have also been investigated, which are good references to the decision makers. The recommended weight factor for net power output is in the range of 0.1-0.6. |
| WOS关键词 | ORGANIC RANKINE CYCLES ; OFF-DESIGN PERFORMANCE ; WORKING FLUIDS ; SELECTION |
| 资助项目 | National Key R&D Program of China[2018YFB1501805] ; Natural Science Foundation of Guangdong Province[2018A030313018] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[2017402] |
| WOS研究方向 | Thermodynamics ; Energy & Fuels ; Engineering ; Mechanics |
| 语种 | 英语 |
| WOS记录号 | WOS:000512220900077 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | National Key R&D Program of China ; Natural Science Foundation of Guangdong Province ; Youth Innovation Promotion Association, Chinese Academy of Sciences |
| 源URL | [http://ir.giec.ac.cn/handle/344007/26349]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Bu, Xianbiao |
| 作者单位 | 1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China 2.CAS Key Lab Renewable Energy, Guangzhou 510640, Peoples R China 3.Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Lingbao,Li, Huashan,Bu, Xianbiao. Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy[J]. APPLIED THERMAL ENGINEERING,2020,166:8. |
| APA | Wang, Lingbao,Li, Huashan,&Bu, Xianbiao.(2020).Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy.APPLIED THERMAL ENGINEERING,166,8. |
| MLA | Wang, Lingbao,et al."Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy".APPLIED THERMAL ENGINEERING 166(2020):8. |
入库方式： OAI收割
来源：广州能源研究所
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