def test_BL_correction():
wl = np.linspace(800, 950, 4) * 1e-9
GaAs = material("GaAs")()
thick_cell = SolarCell([Layer(material=GaAs, width=si("20um"))])
opts = State()
opts.position = None
prepare_solar_cell(thick_cell, opts)
position = np.arange(0, thick_cell.width, 1e-9)
opts.position = position
opts.recalculate_absorption = True
opts.no_back_reflexion = False
opts.BL_correction = False
opts.wavelength = wl
solve_tmm(thick_cell, opts)
no_corr = thick_cell.absorbed
opts.BL_correction = True
solve_tmm(thick_cell, opts)
with_corr = thick_cell.absorbed
assert with_corr == approx(
np.array([6.71457872e-01, 6.75496354e-01, 2.09738887e-01, 0]))
assert no_corr == approx(
np.array([6.71457872e-01, 6.75496071e-01, 2.82306407e-01, 0]))
def test_inc_coh_tmm():
GaInP = material("GaInP")(In=0.5)
GaAs = material("GaAs")()
Ge = material("Ge")()
optical_struct = SolarCell([
Layer(material=GaInP, width=si("5000nm")),
Layer(material=GaAs, width=si("200nm")),
Layer(material=GaAs, width=si("5um")),
Layer(material=Ge, width=si("50um")),
])
wl = np.linspace(400, 1200, 5) * 1e-9
options = State()
options.wavelength = wl
options.optics_method = "TMM"
options.no_back_reflection = False
options.BL_correction = True
options.recalculate_absorption = True
c_list = [
["c", "c", "c", "c"],
["c", "c", "c", "i"],
["c", "i", "i", "c"],
["i", "i", "i", "i"],
]
results = []
for i1, cl in enumerate(c_list):
options.coherency_list = cl
solar_cell_solver(optical_struct, "optics", options)
results.append(optical_struct.absorbed)
A_calc = np.stack(results)
A_data = np.array(
[[0.5742503, 0.67956899, 0.73481184, 0.725372, 0.76792856],
[0.5742503, 0.67956899, 0.73481184, 0.725372, 0.76792856],
[0.5742503, 0.67956899, 0.73474943, 0.70493469, 0.70361194],
[0.5742503, 0.67956899, 0.70927724, 0.71509221, 0.71592772]])
assert A_calc == approx(A_data)
kind='DA')
]
# And, finally, we put everything together, adding also the surface recombination velocities sn and sp.
# setting kind = 'DA' in the Junction definition tells the electrical solver later to use the depletion approximation
optical_struct = SolarCell(ARC + top_junction + middle_junction + DBRa + DBRb +
DBRc + bottom_junction,
shading=0.05)
wl = np.linspace(250, 1700, 400) * 1e-9
options = State()
options.wavelength = wl
options.optics_method = 'TMM'
options.no_back_reflection = False
options.pol = 'p'
options.BL_correction = True
options.coherency_list = 111 * ['c']
options.theta = 30
solar_cell_solver(optical_struct, 'qe', options)
plt.figure()
plt.plot(
wl * 1e9,
optical_struct[0].layer_absorption + optical_struct[1].layer_absorption)
plt.plot(wl * 1e9, optical_struct[2].layer_absorption)
plt.plot(wl * 1e9, optical_struct[3].layer_absorption)
plt.plot(wl * 1e9, optical_struct[100].layer_absorption)
plt.plot(wl * 1e9, optical_struct.absorbed, '--')
plt.plot(wl * 1e9, optical_struct.transmitted, '--')
plt.plot(wl * 1e9, optical_struct.reflected, '--')
plt.legend(['ARC', 'top', 'middle', 'bottom', 'A', 'T', 'R'])