Simultaneous multi-variable gradient-based optimization with multi-start is performed on a 300 MWe wet … optimization study involves 16 variables, three of which are integer valued, and 10 constraints with the objective of maximizing …-based analysis to facilitate convergence. Results of the multi-variable optimization are compared to a pressure sensitivity analysis …

then performed with variable loads to determine the level of performance decrease if no optimization is performed. Finally …, optimization of operation for a fixed design, and simultaneous optimization of design and operation are performed. The design … optimization for a specific load does not include the redesign of the turbines to a process specifically designed for this load …

Simultaneous multi-variable gradient-based optimization is performed on a 300 MWe wet-recycling pressurized oxy …. Optimization involves 17 optimization variables and 10 constraints, with the objective of maximizing the thermal efficiency. The … optimization procedure utilizes recent design rules and optimization procedures for optimal Rankine cycle performance speeding up …

Combinatorial Problems -- 10. Other Models for Robust Optimization -- 11. Open Problems. …This book offers a self-contained introduction to the world of robust combinatorial optimization. It explores decision …-making using the min-max and min-max regret criteria, while also delving into the two-stage and recoverable robust optimization …

system integration schemes must be captured in order to conduct meaningful process flow and optimization studies where …