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dc.identifier.urihttp://hdl.handle.net/11401/76654
dc.description.sponsorshipThis work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.en_US
dc.formatMonograph
dc.format.mediumElectronic Resourceen_US
dc.language.isoen_US
dc.publisherThe Graduate School, Stony Brook University: Stony Brook, NY.
dc.typeDissertation
dcterms.abstractThis thesis presents a fundamentally new thin-film photovoltaic design and develops several novel characterization techniques that improve the accuracy of thin-film solar cell computational models by improving the accuracy of the input data. We first demonstrate a novel organic photovoltaic (OPV) design, termed a ``Slot OPV", in which the active layer is less than 50 nm; We apply the principles of slot waveguides to confine light within the active layer. According to our calculation, the guided-mode absorption for a 10nm thick active layer equal to the absorption of normal incidence on an OPV with a 100nm thick active layer. These results, together with the expected improvement in charge extraction for ultrathin layers, suggest that slot OPVs can be designed with greater power conversion efficiency than today's state-of-art OPV architectures if practical challenges, such as the efficient coupling of light into these modes, can be overcome. The charge collection probability, i.e. the probability that charges generated by absorption of a photon are successfully collected as current, is a critical feature for all kinds of solar cells. While the electron-beam-induced current (EBIC) method has been used in the past to successfully reconstruct the charge collection probability, this approach is destructive and requires time-consuming sample preparation. We demonstrate a new nondestructive optoelectronic method to reconstruct the charge collection probability by analyzing the internal quantum efficiency (IQE) data that are measured on copper indium gallium diselenide (CIGS) thin-film solar cells. We further improve the method with a parameter-independent regularization approach. Then we introduce the Self-Constrained Ill-Posed Inverse Problem (SCIIP) method, which improves the signal-to-noise of the solution by using the regularization method with system constraints and optimization via an evolutionary algorithm. For a thin-film solar cell optical model to be an accurate representation of reality, the measured refractive index profile of the solar cell used as input to the model must also be accurate. We describe a new method for reconstructing the depth-dependent refractive-index profile with high spatial resolution in thin photoactive layers. This novel technique applies to any thin film, including the photoactive layers of a broad range of thin-film photovoltaics. Together, these methods help us improve the measurement accuracy of the depth profile within thin-film photovoltaics for optical and electronic properties such as refractive index and charge collection probability, which is critical to the understanding, modeling, and optimization of these devices.
dcterms.available2017-09-20T16:50:53Z
dcterms.contributorAlison, Thomasen_US
dcterms.contributorEisaman, Matthew Den_US
dcterms.contributorReuter, Matthew.en_US
dcterms.contributorDu, Xuen_US
dcterms.creatorPang, Yutong
dcterms.dateAccepted2017-09-20T16:50:53Z
dcterms.dateSubmitted2017-09-20T16:50:53Z
dcterms.descriptionDepartment of Physicsen_US
dcterms.extent134 pg.en_US
dcterms.formatApplication/PDFen_US
dcterms.formatMonograph
dcterms.identifierhttp://hdl.handle.net/11401/76654
dcterms.issued2016-12-01
dcterms.languageen_US
dcterms.provenanceMade available in DSpace on 2017-09-20T16:50:53Z (GMT). No. of bitstreams: 1 Pang_grad.sunysb_0771E_12984.pdf: 4501169 bytes, checksum: 6dc0880a2179a0c6108eaaa8e1af11ce (MD5) Previous issue date: 1en
dcterms.publisherThe Graduate School, Stony Brook University: Stony Brook, NY.
dcterms.subjectPhysics
dcterms.subjectcharge collection probability, guided mode, ill-posed inverse problem, optical modeling, refractive index profile, regularization
dcterms.titleNew designs and characterization techniques for thin-film solar cells
dcterms.typeDissertation


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