DEVICE SIMULATION

Modelling of the QWSC is performed using the device simulator, Simwindows [8-9]. Simwindows incorporates interactive solvers for electrical, optical and thermal equation sets. The electrical model uses the drift diffusion equations, the two dimensional density of states in the quantum wells, thermoionic emission at the quantum well interfaces and thermoionic emission and tunnelling across abrubt interfaces between wells and bulk materials. This quantum well model is presently limited to the inclusion of only the lowest of each electron and hole energy levels, which are estimated from analytical expressions for a finite height well rather than a solution of Schrodinger’s equation [10].

The simulated control cell is AlGaAs p-i-n solar cell with material and device parameters listed in table(1).

HOLE THERMAL ESCAPE

(———- p————- ►-«——————————— і —————————————————— n

ELECTRON ~1pm

ENERGY

HOLE

ENERGY

Figure (1) Energy band diagram of the quantum well solar cell under

illumination

All simulations are taken under air mass 1.5 illumination (100 mw/cm2)[11], using tunnelling, thermoionic emission, dopants dependent mobility and Fermi dirac statistics. Both bound and free carriers were considered in the quantum well regions. In the first case a single quantum well was inserted in the intrinsic region. The well location in the intrinsic region was varied at different values of Al mole fraction between 0.1 and 0.3 and well width between 100 to 200 A. In the second case the number of quantum wells

Table (1) Material and device parameters of AlGaAs p-i-n control cell.

Parameter

N type

Intrinsic

region

P type

Doping (cm-3)

1.5 x1017

1.5 x1017

Thickness (urn)

0.15

0.48

0.6

Al mole fraction x

0.1,0.2,0.3

0.1,0.2,0.3

0.1,0.2,0.3

QUANTUM

WELLS THERMAL

1 ESCAPE

are increased in the active region within the intrinsic region with different barrier to well width ratio between 1 to 0.25 and spacer thickness between 100 and 300 A. In both cases the target is to optimize all parameters in order to maximize the cell efficiency.