Comprehensive analysis and parametric optimization of a CCP (combined cooling and power) system driven by geothermal source

被引：42
作者：
Zhao, Yajing [1 ]
Wang, Jiangfeng [1 ]
Cao, Liyan [1 ]
Wang, Yu [2 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Energy & Power Engn, State Key Lab Multiphase Flow Power Engn, Inst Turbomachinery, Xian 710049, Peoples R China
[2] Stanford Univ, Dept Mech Engn, Stanford, CA 94305 USA
来源：
ENERGY | 2016年 / 97卷
基金：
中国国家自然科学基金;
关键词：
Exergoeconomic analysis; Exergy analysis; Geothermal energy; CCP; Optimization; ORGANIC RANKINE-CYCLE; LOW-GRADE HEAT; EXERGOECONOMIC ANALYSIS; THERMODYNAMIC ANALYSIS; THERMOECONOMIC OPTIMIZATION; GENERAL CORRELATION; ECONOMIC-ANALYSIS; BINARY-CYCLE; GAS-TURBINE; REFRIGERATION;
D O I：
10.1016/j.energy.2016.01.003
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
A CCP (combined cooling and power) system, which integrated a flash-binary power generation system with a bottom combined cooling and power subsystem operating through the combination of an organic Rankine cycle and an ejector refrigeration cycle, was developed to utilize geothermal energy. Thermodynamic and exergoeconomic analyses were performed on the system. A performance indicator, namely the average levelized costs per unit of exergy products for the overall system, was developed to assess the exergoeconomic performance of the system. The effects of four key parameters including flash pressure, pinch point temperature difference in the vapor generator, inlet pressure and back pressure of the ORC turbine on the system performance were evaluated through a parametric analysis. Two single objective optimizations were conducted to reach the maximum exergy efficiency and the minimum average levelized costs per unit of exergy products for the overall system, respectively. The optimization results implied that the most exergoeconomically effective system couldn't obtain the best system thermodynamic performance and vice versa. An exergy analysis based on the thermodynamic optimization result revealed that the biggest exergy destruction occurred in the vapor generator and the next two largest exergy destruction were respectively caused by the steam turbine and the flashing device. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：470 / 487
页数：18
相关论文
共 50 条
[31]   Energy, entropy and cost analysis of a combined power and water system with cascade utilization of geothermal energy [J].
He, W. F. ;
Han, D. ;
Wen, T. .
ENERGY CONVERSION AND MANAGEMENT, 2018, 174 :719-729
[32]   Parametric study and multi-objective optimization of a combined cooling, desalination and power system [J].
Zhou, Shihe ;
Liu, Xinyu ;
Feng, Yin ;
Bian, Yongning ;
Shen, Shengqiang .
DESALINATION AND WATER TREATMENT, 2021, 217 :1-21
[33]   Design of a combined heating, cooling and power system: Sizing, operation strategy selection and parametric analysis [J].
Kavvadias, K. C. ;
Tosios, A. P. ;
Maroulis, Z. B. .
ENERGY CONVERSION AND MANAGEMENT, 2010, 51 (04) :833-845
[34]   Parametric analysis of a new combined cooling, heating and power system with transcritical CO2 driven by solar energy [J].
Wang, Jiangfeng ;
Zhao, Pan ;
Niu, Xiaoqiang ;
Dai, Yiping .
APPLIED ENERGY, 2012, 94 :58-64
[35]   Design of Solar-driven Combined Heat and Power System: Parametric Study and Optimization [J].
Saoud, Abdelmajid ;
Bouckchana, Yasmina ;
Fellah, Ali .
2025 15TH INTERNATIONAL RENEWABLE ENERGY CONGRESS, IREC, 2025,
[36]   Optimization of a novel combined cooling, heating and power cycle driven by geothermal and solar energies using the water/CuO (copper oxide) nanofluid [J].
Boyaghchi, Fateme Ahmadi ;
Chavoshi, Mansoure ;
Sabeti, Vajiheh .
ENERGY, 2015, 91 :685-699
[37]   Machine learning optimization of a novel geothermal driven system with LNG heat sink for hydrogen production and liquefaction [J].
Mehrenjani, J. Rezazadeh ;
Gharehghani, A. ;
Sangesaraki, A. Gholizadeh .
ENERGY CONVERSION AND MANAGEMENT, 2022, 254
[38]   A multigeneration system of combined cooling, heating, and power (CCHP) for low-temperature geothermal system by using air cooling [J].
Chaiyat, Nattaporn .
THERMAL SCIENCE AND ENGINEERING PROGRESS, 2021, 21
[39]   Thermo-economic assessment and optimization of a geothermal-driven tri-generation system for power, cooling, and hydrogen production [J].
Li, Jiaojiao ;
Zoghi, Mohammad ;
Zhao, Linfeng .
ENERGY, 2022, 244
[40]   Performance assessment and optimization of a novel geothermal combined cooling and power system integrating an organic flash cycle with an ammonia-water absorption refrigeration cycle [J].
Wu, Chuang ;
Xu, Xiaoxiao ;
Li, Qibin ;
Li, Xiaoxiao ;
Liu, Lang ;
Liu, Chao .
ENERGY CONVERSION AND MANAGEMENT, 2021, 227
12345