Session: 30-07 Heat Pumps
Submission Number: 176987
Multiobjective Optimization of Supercritical CO2 Cycles Coupled With Green Ammonia Production Processes Based on Thermodynamic and Artificial Intelligence Models
Abstract: Green ammonia(NH3) co-firing can substantially curtail carbon emissions from coal-fired power plants and thus constitutes a viable pathway for power sector decarbonization; however, green NH3 synthesis is energetically demanding and produces considerable thermal waste. To enhance system energy utilization and reduce reliance on external heat inputs, this study proposed the deployment of a supercritical CO2 (sCO2) power cycle as a bottoming cycle to recuperate waste heat from green NH3 production. The proposed coupling leverages the heat of compression inherent to the sCO2 compressor to heat and vaporize liquid NH3, enabling direct injection of NH3 gas into the boiler. This arrangement both obviated the auxiliary thermal supply normally required for NH3 vaporization and, by reducing compressor inlet temperature and improving thermodynamic coupling, augmented the bottoming cycle’s net power output and the overall system thermodynamic efficiency. To mitigate uncertainty in the admissible bounds of decision variables, a multilayer perceptron (MLP) surrogate of the thermodynamic system model, trained on simulation data to approximate the input–output mapping, is embedded within NSGA-III as a fast evaluator to accelerate multi-objective optimization. Case-study analyses demonstrated that the proposed coupling significantly enhanced thermal efficiency, reduced external heat demand, and improved system thermodynamic performance, thereby providing a robust reference for the integrated design of sCO2 cycles and green NH3 production.
Keywords: Supercritical CO2 power cycle; Green ammonia; Waste heat recovery; Energy efficiency improvement;Multi-objective optimization
Presenting Author: Kang Zhou Southeast University
Presenting Author Biography: Kang Zhou is a second-year Ph.D. candidate in Power Engineering at Southeast University. His research focuses on supercritical CO₂ power cycles, waste-heat recovery, and thermodynamic optimization.
Authors:
Kang Zhou Southeast UniversityYue Cao Southeast University
Jianxin Zhou Southeast University
Fengqi Si Southeast University
Multiobjective Optimization of Supercritical CO2 Cycles Coupled With Green Ammonia Production Processes Based on Thermodynamic and Artificial Intelligence Models
Paper Type
Technical Paper Publication