THERMO-ECONOMIC SIMULATION OF FOUR POWER GENERATIONS BASED ON GENETIC ALGORITHM
文献类型：期刊论文
| 作者 | Luo, Chao1,2,3
|
| 刊名 | THERMAL SCIENCE
 |
| 出版日期 | 2022 |
| 卷号 | 26期号:4页码:3255-3269 |
| 关键词 | geothermal power generation flash binary flash-binary numerical simulation exergy |
| ISSN号 | 0354-9836 |
| DOI | 10.2298/TSCI211102027L |
| 通讯作者 | Luo, Chao(luochao@hzu.edu.cn) |
| 英文摘要 | The thermodynamic and economic suitability of four geothermal power systems is analyzed. When the heat source temperature ranges from 100-150 degrees C, the per-formance indicators of power capacity per unit geo-fluid, exergy efficiency, pay-back period, net present value and internal rate of return for four types of the power system are calculated. The results show that when the heat source temper-ature increases from 100-150 degrees C, the power capacity per unit geo-fluid for single flash, organic rankine cycle (ORC), double flash, and flash-ORC system increas-es from 2.26-7.72 kWh/t, 2.05-8.37 kWh/t, 2.96-9.96 kWh/t, and 2.76-9.82 kWh/t, respectively, and the performance indicators of two-stage energy conversion sys-tems are better than single systems. R245fa is selected as the working fluid based on anti-scaling and better performance. When the heat source temperature is 130 degrees C, the payback period, net present value and internal rate of return of flash-binary power system are six years, 2508000 US$ and 16.09%, respectively. The research shows that, unlike the single objective optimization of the two power systems, the multi-objective feasibility analysis is a technical integration innovation of the exist-ing research. The research can provide technical support for power construction and realize the sustainable development of clean energy in China. |
| WOS关键词 | ENERGY ; OPTIMIZATION |
| 资助项目 | Science and Technology Planning Project of Huizhou, Guangdong province[2020SD0401029] ; University Characteristic Innovation Project of Department of Education of Guangdong Province[2020KTSCX143] ; Indigenous Innovation's Capability Development Program of Huizhou University[HZU202002] |
| WOS研究方向 | Thermodynamics |
| 语种 | 英语 |
| WOS记录号 | WOS:000833183200037 |
| 出版者 | VINCA INST NUCLEAR SCI |
| 资助机构 | Science and Technology Planning Project of Huizhou, Guangdong province ; University Characteristic Innovation Project of Department of Education of Guangdong Province ; Indigenous Innovation's Capability Development Program of Huizhou University |
| 源URL | [http://ir.giec.ac.cn/handle/344007/37001]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Luo, Chao |
| 作者单位 | 1.Huizhou Univ, Sch Architecture & Civil Engn, Huizhou, Peoples R China 2.Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, Minist Educ, Tianjin, Peoples R China 3.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo, Chao. THERMO-ECONOMIC SIMULATION OF FOUR POWER GENERATIONS BASED ON GENETIC ALGORITHM[J]. THERMAL SCIENCE,2022,26(4):3255-3269. |
| APA | Luo, Chao.(2022).THERMO-ECONOMIC SIMULATION OF FOUR POWER GENERATIONS BASED ON GENETIC ALGORITHM.THERMAL SCIENCE,26(4),3255-3269. |
| MLA | Luo, Chao."THERMO-ECONOMIC SIMULATION OF FOUR POWER GENERATIONS BASED ON GENETIC ALGORITHM".THERMAL SCIENCE 26.4(2022):3255-3269. |
入库方式： OAI收割
来源：广州能源研究所
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