Calculate the specified objective function
Parameters:
| Name |
Type |
Description |
Default |
minmax
|
int
|
the ID and sign of the figure of merit to evaluate.
A negative value indicates maximisation.
A positive value indicates minimisation.
* 1: Major radius
* 3: Neutron wall load
* 4: TF coil + PF coil power
* 5: Fusion gain
* 6: Cost of electricity
* 7: Direct/constructed/capital cost
* 8: Aspect ratio
* 9: Divertor heat load
* 10: Toroidal field on axis
* 11: Injected power
* 14: Pulse length
* 15: Plant availability
* 16: Major radius/burn time
* 17: Net electrical output
* 18: NULL, f(x) = 1
* 19: Major radius/burn time
|
required
|
data
|
DataStructure
|
data structure object for providing data to the
objective function
|
required
|
Raises:
Source code in process/core/solver/objectives.py
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103 | def objective_function(minmax: int, data: DataStructure) -> float:
"""Calculate the specified objective function
Parameters
----------
minmax : int
the ID and sign of the figure of merit to evaluate.
A negative value indicates maximisation.
A positive value indicates minimisation.
* 1: Major radius
* 3: Neutron wall load
* 4: TF coil + PF coil power
* 5: Fusion gain
* 6: Cost of electricity
* 7: Direct/constructed/capital cost
* 8: Aspect ratio
* 9: Divertor heat load
* 10: Toroidal field on axis
* 11: Injected power
* 14: Pulse length
* 15: Plant availability
* 16: Major radius/burn time
* 17: Net electrical output
* 18: NULL, f(x) = 1
* 19: Major radius/burn time
data: DataStructure
data structure object for providing data to the
objective function
Raises
------
ProcessValueError
If minmax=15 not used with i_plant_availability=1
"""
try:
figure_of_merit = FiguresOfMerit(abs(minmax))
except ValueError as err:
raise ProcessValueError(f"Invalid minmax value: {minmax}") from err
# -1 = maximise
# +1 = minimise
objective_sign = np.sign(minmax)
if figure_of_merit == FiguresOfMerit.MAJOR_RADIUS:
objective_metric = 0.2 * data.physics.rmajor
elif figure_of_merit == FiguresOfMerit.NEUTRON_WALL_LOAD:
objective_metric = data.physics.pflux_fw_neutron_mw
elif figure_of_merit == FiguresOfMerit.P_TF_PLUS_P_PF:
objective_metric = (data.tfcoil.tfcmw + 1e-3 * data.pf_power.srcktpm) / 10.0
elif figure_of_merit == FiguresOfMerit.FUSION_GAIN_Q:
objective_metric = data.current_drive.big_q_plasma
elif figure_of_merit == FiguresOfMerit.COST_OF_ELECTRICITY:
objective_metric = data.costs.coe / 100.0
elif figure_of_merit == FiguresOfMerit.CAPITAL_COST:
objective_metric = (
data.costs.cdirt / 1.0e3
if data.costs.ireactor == 0
else data.costs.concost / 1.0e4
)
elif figure_of_merit == FiguresOfMerit.ASPECT_RATIO:
objective_metric = data.physics.aspect
elif figure_of_merit == FiguresOfMerit.DIVERTOR_HEAT_LOAD:
objective_metric = data.divertor.pflux_div_heat_load_mw
elif figure_of_merit == FiguresOfMerit.TOROIDAL_FIELD:
objective_metric = data.physics.b_plasma_toroidal_on_axis
elif figure_of_merit == FiguresOfMerit.TOTAL_INJECTED_POWER:
objective_metric = data.current_drive.p_hcd_injected_total_mw
elif figure_of_merit == FiguresOfMerit.PULSE_LENGTH:
objective_metric = data.times.t_plant_pulse_burn / 2.0e4
elif figure_of_merit == FiguresOfMerit.PLANT_AVAILABILITY_FACTOR:
if (
AvailabilityModel(data.costs.i_plant_availability)
== AvailabilityModel.USER_INPUT
):
raise ProcessValueError(
"minmax=15 requires `f_t_plant_available` to be calculated, not user "
"input"
)
objective_metric = data.costs.f_t_plant_available
elif figure_of_merit == FiguresOfMerit.MIN_R0_MAX_TAU_BURN:
objective_metric = 0.95 * (data.physics.rmajor / 9.0) - 0.05 * (
data.times.t_plant_pulse_burn / 7200.0
)
elif figure_of_merit == FiguresOfMerit.NET_ELECTRICAL_OUTPUT:
objective_metric = data.heat_transport.p_plant_electric_net_mw / 500.0
elif figure_of_merit == FiguresOfMerit.NULL_FIGURE_OF_MERIT:
objective_metric = 1.0
elif figure_of_merit == FiguresOfMerit.MAX_Q_MAX_T_PLANT_PULSE_BURN:
objective_metric = -0.5 * (data.current_drive.big_q_plasma / 20.0) - 0.5 * (
data.times.t_plant_pulse_burn / 7200.0
)
return objective_sign * objective_metric
|