Session: 30-10 Systems 2

Paper Number: 124281

124281 - Thermodynamic Analysis and Optimization of a Supercritical CO2 Power Cycle Driven by a SOFC-GT Hybrid System 

The solid oxide fuel cell-gas turbine (SOFC-GT) hybrid system is an advanced technology for power generation because of its high efficiency, stability and environmental friendliness. Since the exhaust from the gas turbine in SOFC-GT system is still of high grade, the bottoming cycle is usually used to recover the waste heat. Supercritical CO2 power cycle is selected as the bottoming cycle for the SOFC-GT hybrid system to achieve cascaded utilization of thermal energy. This study builds the thermodynamic model of the supercritical CO2 power cycle driven by SOFC-GT hybrid system. Then, six key parameters, including fuel flow rate, fuel utilization factor, SOFC operating temperature, combustion engine pressure ratio, CO2 turbine inlet pressure and cycle split ratio, are analyzed to obtain the effects on the thermodynamic performance of the system in terms of output power, exergy loss and exergy efficiency of the system. Moreover, the Particle Swarm Optimization (PSO) is employed to perform the multi-objective optimization of the hybrid system. The optimization results for output power and efficiency of the system are presented at the Pareto front of the system. Further analyses are conducted for the distribution of the values of the key parameters corresponding to the Pareto solution. The optimal operating point of the hybrid system is finally determined by the linear programming decision method of multi-dimensional preference analysis.

Presenting Author: Yue Cao Southeast University

Presenting Author Biography: Yue Cao is an associate professor in the School of Energy and Environment at Southeast University. He received his Ph.D. in 2018 from Xi’an Jiaotong University, China. He was a visiting scholar in the Department of Mechanical and Nuclear Engineering at the Pennsylvania State University. His research interests include supercritical CO2 power cycle, waste heat recovery, and intelligent control for power cycles. Email: ycao@seu.edu.cn

Authors:

Runqing Cao Southeast University
Youna Wang Southeast University
Zhongliang Wu Southeast University
Wenhe Liu Southeast University
Yue Cao Southeast University