Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
| Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy | |
Wang, Lingbao; Li, Huashan ; Bu, Xianbiao1
| |
| 2020-02-05 | |
| Source Publication | APPLIED THERMAL ENGINEERING
 |
| ISSN | 1359-4311 |
| Volume | 166Pages:8 |
| Corresponding Author | Bu, Xianbiao(buxb@ms.giec.ac.cn) |
| Abstract | 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. |
| Keyword | Geothermal energy Binary flashing cycle Multi-objective optimization Non-dominated sorting genetic algorithm II TOPSIS method |
| DOI | 10.1016/j.applthermaleng.2019.114693 |
| WOS Keyword | ORGANIC RANKINE CYCLES ; OFF-DESIGN PERFORMANCE ; WORKING FLUIDS ; SELECTION |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 Research Area | Thermodynamics ; Energy & Fuels ; Engineering ; Mechanics |
| Funding Organization | National Key R&D Program of China ; Natural Science Foundation of Guangdong Province ; Youth Innovation Promotion Association, Chinese Academy of Sciences |
| WOS Subject | Thermodynamics ; Energy & Fuels ; Engineering, Mechanical ; Mechanics |
| WOS ID | WOS:000512220900077 |
| Publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.giec.ac.cn/handle/344007/26350 |
| Collection | 中国科学院广州能源研究所 |
| Corresponding Author | Bu, Xianbiao |
| Affiliation | 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 |
| Recommended Citation 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. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment