TY - GEN
T1 - Optimization of a solid oxide fuel cell and gas turbine hybrid system
AU - Kanarit, Setthawut
AU - Karunkeyoon, Wirinya
AU - Al-Alili, Ali
AU - Eveloy, Valerie
AU - Rodgers, Peter
N1 - Publisher Copyright:
© 2015 by ASME.
PY - 2015
Y1 - 2015
N2 - The low efficiency and high environmental impact of conventional power cycles are a major concern. The integration of solid oxide fuel cells (SOFCs) and gas turbines (GTs) has been proposed in the literature to increase fuel to power conversion. Parametric studies are usually conducted to identify suitable operating conditions for such integrated systems. However, parametric studies only consider the main effects of the design variables and do not provide information on the interactive effect of the design variables. In this study, a multi-objective optimization is performed to optimize the performance of a SOFC-GT hybrid system. The objective functions are system efficiency and total cost rate, including capital, operating, and environmental penalty costs. The design variables are selected based on sensitivity analysis to assess the effect of the variables on the objective functions. The performance of the SOFC-GT hybrid system is modeled in Aspen Plus, while MATLAB is used for multi-objective optimization. The multi-objective optimization solution is presented in terms of a Pareto frontier.
AB - The low efficiency and high environmental impact of conventional power cycles are a major concern. The integration of solid oxide fuel cells (SOFCs) and gas turbines (GTs) has been proposed in the literature to increase fuel to power conversion. Parametric studies are usually conducted to identify suitable operating conditions for such integrated systems. However, parametric studies only consider the main effects of the design variables and do not provide information on the interactive effect of the design variables. In this study, a multi-objective optimization is performed to optimize the performance of a SOFC-GT hybrid system. The objective functions are system efficiency and total cost rate, including capital, operating, and environmental penalty costs. The design variables are selected based on sensitivity analysis to assess the effect of the variables on the objective functions. The performance of the SOFC-GT hybrid system is modeled in Aspen Plus, while MATLAB is used for multi-objective optimization. The multi-objective optimization solution is presented in terms of a Pareto frontier.
UR - http://www.scopus.com/inward/record.url?scp=84962175387&partnerID=8YFLogxK
U2 - 10.1115/FUELCELL201549262
DO - 10.1115/FUELCELL201549262
M3 - Conference contribution
AN - SCOPUS:84962175387
T3 - ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, FUELCELL 2015, collocated with the ASME 2015 Power Conference, the ASME 2015 9th International Conference on Energy Sustainability, and the ASME 2015 Nuclear Forum
BT - ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, FUELCELL 2015, collocated with the ASME 2015 Power Conference, the ASME 2015 9th International Conference on Energy Sustainability, and the ASME 2015 Nuclear Forum
T2 - ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, FUELCELL 2015, collocated with the ASME 2015 Power Conference, the ASME 2015 9th International Conference on Energy Sustainability, and the ASME 2015 Nuclear Forum
Y2 - 28 June 2015 through 2 July 2015
ER -
