Performance evaluation of a polygeneration system based on fuel cell technology and solar photovoltaic and use of waste heat

被引:45
作者
Wang, Shicheng [1 ]
Li, Wei [1 ]
Fooladi, Hadi [2 ]
机构
[1] Southwest Petr Univ, Sch Econ & Management, Chengdu 610500, Sichuan, Peoples R China
[2] Islamic Azad Univ, Tabriz Branch, Dept Energy Engn, Fac Engn, Tabriz, Iran
关键词
Polygeneration energy system; Fuel cell technology; Solar photovoltaic field; Stirling engine; Waste heat; HYBRID SOLID OXIDE; STIRLING ENGINE; ENERGY-STORAGE; POWER-PLANT; OPTIMIZATION; EXERGY; COGENERATION; GENERATOR; COLLECTOR; DESIGN;
D O I
10.1016/j.scs.2021.103055
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Today, the use of alternative energy sources such as solar energy to overcome the obstacles caused by the consumption of fossil fuels is inevitable. However, solar energy faces natural issues such as intermittency, instability and uncertainty. Meanwhile, integration of clean energy sources can be a key solution. On the other hand, fuel cells are conversion devices that have advantages, e.g., high reliability, low emissions, and high efficiency. The aim of this study is to present and evaluate the operation of a new energy process based on alkaline fuel cell (AFC) and solar photovoltaic (PV) field. AFC produces electrical and thermal power. In downstream cycles, additional electricity and cooling are generated by the Stirling engine and the absorption chiller, respectively. The solar field provides the power of an electrolyzer to supply fuel and oxidant to the fuel cell. Results showed that the cycle can produce up to 3.4 kW of electricity. The share of AFC, Stirling engine and solar PV field in electricity generation is 29.3, 21.4 and 49.3 %, respectively. It was also found that the electrical and overall efficiencies of the cycle are 64.36 and 77.57 %, respectively. In addition, 77.44 kW of exergy is destroyed.
引用
收藏
页数:13
相关论文
共 63 条
[21]  
Garche J., 2013, ENCY ELECTROCHEMICAL, DOI DOI 10.1016/B978-044452745-5.00096-4
[22]  
Gasik M, 2008, WOODHEAD PUBL MATER, P1, DOI 10.1533/9781845694838.1
[23]   An Adaptive Neuro-Fuzzy Inference System for Islanding Detection in Wind Turbine as Distributed Generation [J].
Ghadimi, Noradin .
COMPLEXITY, 2015, 21 (01) :10-20
[24]   Hybrid molten carbonate fuel cell power plant and multiple-effect desalination system [J].
Ghorbani, Bahram ;
Mehrpooya, Mehdi ;
Mousavi, Seyed Ali .
JOURNAL OF CLEANER PRODUCTION, 2019, 220 :1039-1051
[25]   A system level approach to estimate maximum load steps that can be applied on a fuel cell powered marine DC system [J].
Haxhiu, Arber ;
Chan, Ricky ;
Kanerva, Sami ;
Kyyra, Jorma .
ENERGY REPORTS, 2021, 7 :888-895
[26]   Energy, exergy, environmental and economic comparison of various solar thermal systems using water and Thermia Oil B base fluids, and CuO and Al2O3 nanofluids [J].
Huang, Weibiao ;
Marefati, Mohammad .
ENERGY REPORTS, 2020, 6 :2919-2947
[27]   Performance assessment of a hybrid solid oxide and molten carbonate fuel cell system with compressed air energy storage under different power demands [J].
Jienkulsawad, Prathak ;
Saebea, Dang ;
Patcharavorachot, Yaneeporn ;
Arpornwichanop, Amornchai .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (01) :835-848
[28]   Modeling and optimization of a novel solar chimney cogeneration power plant combined with solid oxide electrolysis/fuel cell [J].
Joneydi Shariatzadeh, O. ;
Refahi, A. H. ;
Abolhassani, S. S. ;
Rahmani, M. .
ENERGY CONVERSION AND MANAGEMENT, 2015, 105 :423-432
[29]   Solar-driven high temperature hydrogen production via integrated spectrally split concentrated photovoltaics (SSCPV) and solar power tower [J].
Kaleibari, Sand Shafiei ;
Zhang Yanping ;
Abanades, Stephane .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2019, 44 (05) :2519-2532
[30]  
Kalogirou SA, 2009, SOLAR ENERGY ENGINEERING: PROCESSES AND SYSTEMS, P1