Knowledge Management System Of Institute of process engineering,CAS
Performance assessment and multi-objective optimization of a geothermal-based tri-generation system in hot Summer Continental Climate: Tianjin case study | |
Ma, Ruiqiang1; Hua, Yang1; Yu, Xiaohui1,3; Zhang, Haitao2 | |
2022-10-01 | |
Source Publication | ENERGY CONVERSION AND MANAGEMENT
![]() |
ISSN | 0196-8904 |
Volume | 269Pages:13 |
Abstract | Considerable interest in the investigation of energy supply systems that effectively utilize renewable energies is being aroused due to the shortage of fossil energy and serious environmental pollution. Geothermal energy is a considered as a promising alternative to fossil energy due to its advantages of large reserves, good stability, and strong sustainability. This paper developed a geothermal-driven tri-generation system to generate power and supply heating and cooling demand. The tri-generation system is composed of an absorption refrigeration cycle, a heat exchange cycle, and an organic Rankine cycle. The paper begins with an introduction to the thermodynamic, economic, and environment models of the presented system. The effects of the geothermal water parameters on the system performance were originally investigated based on the actual data of a sports center (zero energy building). This building is located in Jiefang South Road, Tianjin, which belong to Hot Summer Continental Climate. In addition, the multi-objective optimization of this system was carried out based on the TOPISIS decision-making method considering economic and environmental criteria. The minimum payback period and maximum carbon emission reduction were chosen as the optimization factors. Finally, the optimal temperature of geothermal water is obtained and the exergy analysis was performed under the optimal conditions. The results indicate that the presented system possesses an optimal geothermal water temperature of 83 degrees C. Under this temperature, the total thermal efficiency in cooling season and heating season were 41.17 % and 84.93 %, respectively. The exergy efficiency in cooling season and heating season were 47.28 % and 62.23 %, respectively. Our proposed system has equivalent annual operating cost of 12.9 k$/year, with a payback period (PBP) of 2.57 years and carbon emission reduction of 2379 ton/year. The condenser and evaporator need to be improved in terms of large exergy loss rate and low exergy efficiency. |
Keyword | Tri-generation system Geothermal energy Organic Rankine cycle Absorption refrigeration cycle Performance assessment Multi-objective optimization |
DOI | 10.1016/j.enconman.2022.116083 |
Language | 英语 |
WOS Keyword | THERMOECONOMIC ANALYSIS ; ORC SYSTEM ; ENERGY ; POWER ; CYCLE ; SOLAR |
Funding Project | Youth Science Foundation of Hebei Province[E2021202034] ; Huizhou Institute of Green Energy and Advanced Materials[KYXM-2022002] ; top Project of Science and Technology Youth in Colleges and Universities of Hebei Province[BJ202102021] |
WOS Research Area | Thermodynamics ; Energy & Fuels ; Mechanics |
WOS Subject | Thermodynamics ; Energy & Fuels ; Mechanics |
Funding Organization | Youth Science Foundation of Hebei Province ; Huizhou Institute of Green Energy and Advanced Materials ; top Project of Science and Technology Youth in Colleges and Universities of Hebei Province |
WOS ID | WOS:000888768200005 |
Publisher | PERGAMON-ELSEVIER SCIENCE LTD |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.ipe.ac.cn/handle/122111/56019 |
Collection | 中国科学院过程工程研究所 |
Corresponding Author | Yu, Xiaohui |
Affiliation | 1.Hebei Univ Technol, Sch Energy & Environm Engn, Hebei Key Lab Thermal Sci & Energy Clean Utilizat, Tianjin 300401, Hebei, Peoples R China 2.Chinese Acad Sci, Inst Proc Engn, Beijing Key Lab Ion Liquids Clean Proc, CAS Key Lab Green Proc & Engn, Beijing 100190, Peoples R China 3.Huizhou Inst Green Energy & Adv Mat, Huizhou 516081, Peoples R China |
Recommended Citation GB/T 7714 | Ma, Ruiqiang,Hua, Yang,Yu, Xiaohui,et al. Performance assessment and multi-objective optimization of a geothermal-based tri-generation system in hot Summer Continental Climate: Tianjin case study[J]. ENERGY CONVERSION AND MANAGEMENT,2022,269:13. |
APA | Ma, Ruiqiang,Hua, Yang,Yu, Xiaohui,&Zhang, Haitao.(2022).Performance assessment and multi-objective optimization of a geothermal-based tri-generation system in hot Summer Continental Climate: Tianjin case study.ENERGY CONVERSION AND MANAGEMENT,269,13. |
MLA | Ma, Ruiqiang,et al."Performance assessment and multi-objective optimization of a geothermal-based tri-generation system in hot Summer Continental Climate: Tianjin case study".ENERGY CONVERSION AND MANAGEMENT 269(2022):13. |
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