Source code for solcore.solar_cell

from solcore.structure import Layer, Junction, Structure, TunnelJunction
from solcore import material, si

import numpy as np

[docs]def default_GaAs(T): # We create the other materials we need for the device window = material('AlGaAs')(T=T, Na=5e24, Al=0.8) p_GaAs = material('GaAs')(T=T, Na=1e24) n_GaAs = material('GaAs')(T=T, Nd=8e22) bsf = material('GaAs')(T=T, Nd=2e24) output = Junction([Layer(width=si('30nm'), material=window, role="Window"), Layer(width=si('150nm'), material=p_GaAs, role="Emitter"), Layer(width=si('3000nm'), material=n_GaAs, role="Base"), Layer(width=si('200nm'), material=bsf, role="BSF")], sn=1e6, sp=1e6, T=T, kind='PDD') return output
[docs]class SolarCell(Structure): """ This class is almost identical to the basic Structure class in Solcore (it is a subclass of it, actually) but implementing some default parameter values and control about the types of layers. It should work anywhere where a Structure object works. """ def __init__(self, layers=None, T=298, cell_area=1, reflectivity=None, shading=0, substrate=None, R_series=0, **kwargs): """ Constructor of the class. :param layers: A list with the layers to add. The layers might include individual Layer objects of whole Junction objects. :param T: Temperature. :param cell_area: The area of the cell. :param reflectivity: Function that calculates the reflectivity as a function of energy. :param shading: Shading losses due to the front metal contacts. :param substrate: Substrate of the solar cell. :param R_series: Series resistance of the structure :param kwargs: Other possible attributes. """ assert isinstance(layers, list), "Layers must be provided inside a list, even if it is just one layer." super(SolarCell, self).__init__(layers) self.__dict__.update(kwargs) self.T = T self.cell_area = cell_area self.shading = shading self.reflectivity = reflectivity self.junctions = 0 self.junction_indices = [] self.tunnel_indices = [] self.substrate = substrate self.R_series = R_series for i, element in enumerate(layers): self.sort_layer_type(element, i) self.R_series += element.R_series if hasattr(element, 'R_series') else 0
[docs] def sort_layer_type(self, layer, i): """ Sorts the layer in different categories, depending on its type, and keeps record on the indices of that type of layer. :param layer: The layer to check :param i: The index of that layer :return: None """ if type(layer) == Junction: self.junction_indices.append(i) self.junctions += 1 if type(layer) == TunnelJunction: self.tunnel_indices.append(i)
[docs] def append(self, new_layer, layer_label=None, repeats=1): """ Appends a layer to the structure a certain number of times to the structure. :param new_layer: The layer to append. :param layer_label: An optional label for that layer. :param repeats: Number of times to repeat add the layer. :return: None """ for i in range(repeats): self.sort_layer_type(new_layer, len(self)) super(SolarCell, self).append(new_layer, layer_label)
[docs] def append_multiple(self, layers, layer_labels=None, repeats=1): """ Appends multiple layers a certain umber of times to the structure. :param layers: A list with the layers to append. :param layer_labels: An optional list with the labels. If present, it must have the same length that the layers list. :param repeats: Number of times to add this set of layers. :return: None """ assert isinstance(layers, list), "'append_multiple' only accepts lists for the first argument." if layer_labels is not None: assert len(layers) == len(layer_labels), "When using 'layer_labels' keyword a label must be specified for " \ "each layer added i.e. layers and layer_labels must have the same " \ "number of elements. Either fix this or simply do not assign any " \ "labels (i.e. layer_labels=None)." else: layer_labels = [None] * len(layers) for i in range(repeats): for j, element in enumerate(layers): self.append(element, layer_labels[j])
[docs] def update_junction(self, junction, **kwargs): """ Adds or updates the attributes - not the layers - of a junction. :param junction: The junction to update. :param kwargs: The attributes to update. :return: None """ try: num = self.junction_indices[junction] self[num].__dict__.update(kwargs) except IndexError: print('ERROR updating junction: The junction index must be {} or less.'.format(len(self.junction_indices)))
def __call__(self, i): return self[self.junction_indices[i]]
if __name__ == '__main__': window = material('AlGaAs')(T=298, Na=1e24, Al=0.8) stack = [Layer(width=si("50nm"), material=window), default_GaAs(298)] # stack = [default_GaAs(298)] my_cell = SolarCell(layers=stack) # # my_cell.append_multiple([default_GaAs(298), default_GaAs(298), default_GaAs(298)]) # print(my_cell) from solcore.poisson_drift_diffusion.DriftDiffusionUtilities import solve_pdd, default_photon_flux, \ default_wavelengths import matplotlib.pyplot as plt solve_pdd(my_cell, 'QE', vfin=1.2, vstep=0.05, light=True) QE = my_cell(0).qe # Finally, we plot the internal and external quantum efficiencies using the information stored in the output dictionaries plt.plot(QE['QE']['wavelengths'] / 1e-9, QE['QE']['IQE'] * 100, label='IQE') plt.plot(QE['QE']['wavelengths'] / 1e-9, QE['QE']['EQE'] * 100, label='EQE') plt.plot(QE['QE']['wavelengths'] / 1e-9, my_cell.T * 100, label='T') plt.ylim(0, 100) plt.legend(loc='lower left') plt.ylabel('QE (%)') plt.xlabel('Wavelength (nm)')