def get_minpar(apar):
"""Function for returning parameter to be minimized."""
te_pair.I = apar[0]
te_pair.leg_area_ratio = apar[1]
te_pair.set_area()
te_pair.set_constants()
te_pair.solve_te_pair()
minpar = 1. / te_pair.P
return minpar
te_pair = te_pair.TE_PAIRodule()
te_pair.I = current
te_pair.Ntype.material = 'MgSi'
te_pair.Ptype.material = 'HMS'
te_pair.T_h_goal = 500.
te_pair.T_c = 300.
te_pair.Ptype.node = 0
te_pair.Ntype.node = 0
te_pair.Ptype.area = area
te_pair.Ntype.area = te_pair.Ptype.area * area_ratio
te_pair.length = length
te_pair.area_void = 0.
te_pair.method = 'analytical'
te_pair.set_constants()
te_pair.solve_te_pair()
T_props = np.linspace(300,450.,100)
T_h_goal = np.linspace(300,600.,100)
A_opt = np.empty(np.size(T_props))
xi_opt = np.empty(np.size(T_props))
eta_max = np.empty(np.size(T_props))
abc = np.empty([np.size(T_props),3])
for i in range(np.size(T_props)):
te_pair.T_props = T_props[i]
te_pair.set_A_opt()
A_opt[i] = te_pair.A_opt
for i in range(np.size(T_h_goal)):
te_pair.T_h_goal = T_h_goal[i]
import te_pair
reload(te_pair)
te_pair = te_pair.TE_Pair()
te_pair.Ntype.material = 'MgSi'
te_pair.Ptype.material = 'HMS'
te_pair.T_c_conv = 300.
te_pair.T_h_conv = 500.
te_pair.U_cold = 500.
te_pair.U_hot = 500.
te_pair.solve_te_pair()
R_load_total = np.linspace(0.1, 1.0, 30)
R_internal = np.zeros(R_load_total.size)
P = np.zeros(R_load_total.size)
for i in range(R_load_total.size):
te_pair.R_load_total = R_load_total[i]
# it has to be called for this to work
# te_pair.set_R_load()
te_pair.solve_te_pair()
P[i] = te_pair.P
R_internal[i] = te_pair.R_internal
print "\nR_load_total is ", R_load_total[i]
print "R_internal is ", R_internal[i]
print "Power is ", P[i]
