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. |
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