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- Creators: Barrett, The Honors College
- Resource Type: Text
Description
This dissertation addresses challenges pertaining to multi-junction (MJ) solar cells from material development to device design and characterization. Firstly, among the various methods to improve the energy conversion efficiency of MJ solar cells using, a novel approach proposed recently is to use II-VI (MgZnCd)(SeTe) and III-V (AlGaIn)(AsSb) semiconductors lattice-matched on GaSb or InAs substrates for current-matched subcells with minimal defect densities. CdSe/CdTe superlattices are proposed as a potential candidate for a subcell in the MJ solar cell designs using this material system, and therefore the material properties of the superlattices are studied. The high structural qualities of the superlattices are obtained from high resolution X-ray diffraction measurements and cross-sectional transmission electron microscopy images. The effective bandgap energies of the superlattices obtained from the photoluminescence (PL) measurements vary with the layer thicknesses, and are smaller than the bandgap energies of either the constituent material. Furthermore, The PL peak position measured at the steady state exhibits a blue shift that increases with the excess carrier concentration. These results confirm a strong type-II band edge alignment between CdSe and CdTe. The valence band offset between unstrained CdSe and CdTe is determined as 0.63 eV±0.06 eV by fitting the measured PL peak positions using the Kronig-Penney model. The blue shift in PL peak position is found to be primarily caused by the band bending effect based on self-consistent solutions of the Schrödinger and Poisson equations. Secondly, the design of the contact grid layout is studied to maximize the power output and energy conversion efficiency for concentrator solar cells. Because the conventional minimum power loss method used for the contact design is not accurate in determining the series resistance loss, a method of using a distributed series resistance model to maximize the power output is proposed for the contact design. It is found that the junction recombination loss in addition to the series resistance loss and shadowing loss can significantly affect the contact layout. The optimal finger spacing and maximum efficiency calculated by the two methods are close, and the differences are dependent on the series resistance and saturation currents of solar cells. Lastly, the accurate measurements of external quantum efficiency (EQE) are important for the design and development of MJ solar cells. However, the electrical and optical couplings between the subcells have caused EQE measurement artifacts. In order to interpret the measurement artifacts, DC and small signal models are built for the bias condition and the scan of chopped monochromatic light in the EQE measurements. Characterization methods are developed for the device parameters used in the models. The EQE measurement artifacts are found to be caused by the shunt and luminescence coupling effects, and can be minimized using proper voltage and light biases. Novel measurement methods using a pulse voltage bias or a pulse light bias are invented to eliminate the EQE measurement artifacts. These measurement methods are nondestructive and easy to implement. The pulse voltage bias or pulse light bias is superimposed on the conventional DC voltage and light biases, in order to control the operating points of the subcells and counterbalance the effects of shunt and luminescence coupling. The methods are demonstrated for the first time to effectively eliminate the measurement artifacts.
ContributorsLi, Jingjing (Author) / Zhang, Yong-Hang (Thesis advisor) / Tao, Meng (Committee member) / Schroder, Dieter (Committee member) / Vasileska, Dragica (Committee member) / Arizona State University (Publisher)
Created2012
Description
Current solar cells use a silver-printed front grid for electron conduction. Unfortunately, silver is expensive, leading to research into alternative materials. Copper is the most viable but poses grain growth problems and stress problems silver does not. This paper has characterised the effects of proprietary additives, thickness of the copper film layer, current density, and grain growth on stress. Per Stoney's equation, increased thickness leads to decreased thickness. However, if the current density is too high, the plated copper will become porous. Grain growth, quantified by the ratio of the intensity of the (1 1 1) plane and the (2 0 0) plane, increases over time, thus increasing the ratio which further equations to increased stress. Future work would be gathering more data to further investigate the relationship between additives and stress, current densities and stress, and grain growth over time and stress.
ContributorsSimonet, Danny (Co-author) / Chang, Celine (Co-author) / Bowden, Stuart (Thesis director) / Karas, Joseph (Committee member) / Division of Teacher Preparation (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
DescriptionExploring solar cell model alternatives using electrochemically deposited dendrites as a form of current collection to increase efficiency and top electrode transparency.
ContributorsKrawczyk, Joseph Robert (Author) / Kozicki, Michael (Thesis director) / Roedel, Ronald (Committee member) / Gonzalez Velo, Yago (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2013-05
Description
To reduce the cost of silicon solar cells and improve their efficiency, it is crucial to identify and understand the defects limiting the electrical performance in silicon wafers. Bulk defects in semiconductors produce discrete energy levels within the bandgap and may act as recombination centers. This project investigates the viability of using machine learning for characterizing bulk defects in Silicon by using a Random Forest Regressor to extract the defect energy level and capture cross section ratios for a simulated Molybdenum defect and experimental Silicon Vacancy defect. Additionally, a dual convolutional neural network is used to classify the defect energy level in the upper or lower half bandgap.
ContributorsWoo, Vanessa (Author) / Bertoni, Mariana (Thesis director) / Rolston, Nicholas (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2023-05
Description
The goal of the presented research is using Electro Field-assisted Nano Ink Writing(EF-NIW) to deposit poly(3,4-ethylenedioxythiophene) polystyrene sulfonate, or PEDOT, on a substrate to serve as a basis for designing high-efficiency, scalable solar cells. Through the analysis of parameters that affect electrospray deposition, methods to accurately produce a PEDOT film will be determined. With the finished, contingent film, tests for efficacy can be performed. The film will be analyzed for profilometry, determining the thickness of the film. The film will then be put up to a conductivity test.
ContributorsHutchins, John (Author) / Li, Xiangjia (Thesis director) / Zhu, Yizhen (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2021-12