Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
| THERMO-ECONOMIC SIMULATION OF FOUR POWER GENERATIONS BASED ON GENETIC ALGORITHM | |
Luo, Chao1,2,3
| |
| 2022 | |
| Source Publication | THERMAL SCIENCE
 |
| ISSN | 0354-9836 |
| Volume | 26Issue:4Pages:3255-3269 |
| Corresponding Author | Luo, Chao(luochao@hzu.edu.cn) |
| Abstract | 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. |
| Keyword | geothermal power generation flash binary flash-binary numerical simulation exergy |
| DOI | 10.2298/TSCI211102027L |
| WOS Keyword | ENERGY ; OPTIMIZATION |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 Research Area | Thermodynamics |
| Funding Organization | 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 |
| WOS Subject | Thermodynamics |
| WOS ID | WOS:000833183200037 |
| Publisher | VINCA INST NUCLEAR SCI |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.giec.ac.cn/handle/344007/37002 |
| Collection | 中国科学院广州能源研究所 |
| Corresponding Author | Luo, Chao |
| Affiliation | 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 |
| First Author Affilication | GuangZhou Institute of Energy Conversion,Chinese Academy of Sciences |
| Recommended Citation 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. |
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