Combined systems based on OSOFC/HSOFC: Comparative analysis and multi-objective optimization of power and emission

被引:18
|
作者
Mojaver, Parisa [1 ]
Khalilarya, Shahram [1 ]
Chitsaz, Ata [1 ]
机构
[1] Urmia Univ, Fac Engn, Mech Engn Dept, Orumiyeh, Iran
关键词
comparative analysis; HSOFC; multi‐ objective optimization; OSOFC; OXIDE FUEL-CELL; INTEGRATED BIOMASS GASIFICATION; RESPONSE-SURFACE METHODOLOGY; MUNICIPAL SOLID-WASTE; PERFORMANCE ASSESSMENT; CARBON-DIOXIDE; HEAT; STEAM; SIMULATION; ENERGY;
D O I
10.1002/er.6173
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
An integrated system, including a biomass gasifier, a solid oxide fuel cell, heat pipes, and an organic Rankine cycle, was modeled and validated. The system performance was assessed in two different cases based on: (a) oxygen-ion conducting electrolyte and (b) proton-conducting electrolyte solid oxide fuel cells. At low current densities, the system based on proton-conducting electrolyte cell presented larger values of power. In contrast, the system based on oxygen-ion conducting electrolyte cell had a better performance from power viewpoint at high current densities. This phenomenon was similar for energy and exergy efficiencies and emission. The comparative analysis revealed that the system based on oxygen-ion conducting electrolyte cell had higher power output than the system based on proton-conducting electrolyte cell (204.2 kW against 178.7 kW) at their optimum conditions, while the system based on proton-conducting electrolyte cell presented lower emission (996.5 kg/MW h against 1560.7 kg/MW h). The TOPSIS method was utilized to solve the multi-criteria decision-making problem. The results indicated that the system based on proton-conducting electrolyte cell had a better performance than the system based on oxygen-ion conducting electrolyte cell.
引用
收藏
页码:5449 / 5469
页数:21
相关论文
共 50 条
  • [31] Hybrid power systems with emission minimization: Multi-objective optimal operation
    Panda, Ambarish
    Mishra, Umakanta
    Tseng, Ming-Lang
    Ali, Mohd Helmi
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 268 (268)
  • [32] A multi-objective optimization based solution for the combined economic-environmental power dispatch problem
    Gjorgiev, Blaze
    Cepin, Marko
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2013, 26 (01) : 417 - 429
  • [33] Multi-objective optimization of combined cooling, heating, and power (CCHP) system based on CNG engine
    Sheykhi, Mohammad
    Mehregan, Mahmood
    Emamian, Amin
    Ghorbani, Saeed
    Aliakbari, Karim
    Delouei, Amin Amiri
    [J]. CASE STUDIES IN THERMAL ENGINEERING, 2024, 61
  • [34] Multi-objective optimization model of combined cooling heating and power system based on solar energy
    Zheng Tao
    Sheng Tingting
    Li Xin
    Pan Wangyang
    [J]. PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2016, : 1127 - 1130
  • [35] Multi-objective Oriented Search Algorithm for Multi-objective Reactive Power Optimization
    Zhang, Xuexia
    Chen, Weirong
    [J]. EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2009, 5755 : 232 - 241
  • [36] Multi-objective optimization of SOFC systems
    Wu, Xiaojuan
    He, Ling
    Gao, Danhui
    Zhu, Yuanyuan
    [J]. 2019 9TH INTERNATIONAL CONFERENCE ON FUTURE ENVIRONMENT AND ENERGY, 2019, 257
  • [37] Multi-objective optimization and selection of hybrid combined cooling, heating and power systems considering operational flexibility
    Wang, Jiangjiang
    Liu, Yi
    Ren, Fukang
    Lu, Shuaikang
    [J]. ENERGY, 2020, 197 (197)
  • [38] GA based Multi-objective Operation Optimization of Power Microgrid
    Xu, Meimei
    Gu, Tingyun
    Qin, Jian
    Zheng, Weijie
    [J]. 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS), 2019, : 103 - 107
  • [39] Multi-Objective Optimization Based on TTR Interference Analysis
    Ji, Dawei
    Huang, Yi
    Zhang, Qi
    [J]. MATERIALS PROCESSING AND MANUFACTURING III, PTS 1-4, 2013, 753-755 : 1217 - +
  • [40] Portfolio analysis based on multi-objective optimization algorithm
    Chen Juan
    Ji Mengla
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND AUTOMATION (ICMRA 2015), 2015, 15 : 809 - 812