A Design of Parameters with Supercritical Carbon Dioxide Brayton Cycle for CiADS

Table 3

Optimization of parameters by genetic algorithm and pattern search algorithm.

	Pmax (kPa)	Pmin (kPa)	T1 (°C)	T7(°C)	ΔT1 (°C)	ΔT2 (°C)	generation number	Thermal efficiency %	Pressure ratio	Times (s)
Genetic algorithm
1	24095.72	8318.25	31.23	369.99	3.04	3.03	105	35.907	2.896	197.4
2	23691.89	8444.36	31.31	369.99	3.7	3.03	102	35.903	2.805	191.8
3	22715.83	8063.99	31.31	369.98	3.01	3.02	103	35.925	2.816	193.6
4	23331.59	8328.26	31.23	369.96	3.05	3.02	147	35.927	2.801	276.4
5	21399.94	8174.63	31.26	369.99	3	3	143	35.932	2.617	268.8
6	23105.48	8209.23	31.32	369.99	3.12	3.04	162	35.928	2.741	318.3
Pattern search algorithm
Start Point	20000	8000	35	300	10	10	/	25.25	2.5
Value	21755.74	8002.80	31.2	370	3	3	601	35.970	2.719	31.8