Literatura académica sobre el tema "Computer Modelling - Silicon Solar Cells"
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Artículos de revistas sobre el tema "Computer Modelling - Silicon Solar Cells"
Nitoi, Dan, Florin Samer, Constantin Gheorghe Opran y Constantin Petriceanu. "Finite Element Modelling of Thermal Behaviour of Solar Cells". Materials Science Forum 957 (junio de 2019): 493–502. http://dx.doi.org/10.4028/www.scientific.net/msf.957.493.
Texto completoBlome, Mark, Kevin McPeak, Sven Burger, Frank Schmidt y David Norris. "Back-reflector design in thin-film silicon solar cells by rigorous 3D light propagation modeling". COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, n.º 4 (1 de julio de 2014): 1282–95. http://dx.doi.org/10.1108/compel-12-2012-0367.
Texto completoTobbeche, S. y M. N. Kateb. "Two-Dimensional Modelling and Simulation of Crystalline Silicon n+pp+ Solar Cell". Applied Mechanics and Materials 260-261 (diciembre de 2012): 154–62. http://dx.doi.org/10.4028/www.scientific.net/amm.260-261.154.
Texto completoDobrzański, L. A. y A. Drygała. "Laser processing of multicrystalline silicon for texturization of solar cells". Journal of Materials Processing Technology 191, n.º 1-3 (agosto de 2007): 228–31. http://dx.doi.org/10.1016/j.jmatprotec.2007.03.009.
Texto completoOgbonnaya, Chukwuma, Chamil Abeykoon, Adel Nasser y Ali Turan. "Radiation-Thermodynamic Modelling and Simulating the Core of a Thermophotovoltaic System". Energies 13, n.º 22 (23 de noviembre de 2020): 6157. http://dx.doi.org/10.3390/en13226157.
Texto completoGandı́a, J. J., J. Cárabe y M. T. Gutiérrez. "Influence of TCO dry etching on the properties of amorphous-silicon solar cells". Journal of Materials Processing Technology 143-144 (diciembre de 2003): 358–61. http://dx.doi.org/10.1016/s0924-0136(03)00456-4.
Texto completoYang, Hong, He Wang, Xiandao Lei, Chuanke Chen y Dingyue Cao. "Interface modeling between the printed thick-film silver paste and emitter for crystalline silicon solar cells". International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 27, n.º 4 (16 de agosto de 2013): 649–55. http://dx.doi.org/10.1002/jnm.1925.
Texto completoPeters, Marius, Ma Fajun, Guo Siyu, Bram Hoex, Benedikt Blaesi, Stefan Glunz, Armin Aberle y Joachim Luther. "Advanced Modelling of Silicon Wafer Solar Cells". Japanese Journal of Applied Physics 51 (22 de octubre de 2012): 10NA06. http://dx.doi.org/10.1143/jjap.51.10na06.
Texto completoPeters, Marius, Ma Fajun, Guo Siyu, Bram Hoex, Benedikt Blaesi, Stefan Glunz, Armin Aberle y Joachim Luther. "Advanced Modelling of Silicon Wafer Solar Cells". Japanese Journal of Applied Physics 51, n.º 10S (1 de octubre de 2012): 10NA06. http://dx.doi.org/10.7567/jjap.51.10na06.
Texto completoDugas, J. y J. Oualid. "3D-Modelling of polycrystalline silicon solar cells". Revue de Physique Appliquée 22, n.º 7 (1987): 677–85. http://dx.doi.org/10.1051/rphysap:01987002207067700.
Texto completoTesis sobre el tema "Computer Modelling - Silicon Solar Cells"
Thomas, Trevor. "The computer modelling of amorphous silicon solar cells". Thesis, Cardiff University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361326.
Texto completoShariff, A. "Computer simulation of amorphous silicon solar cells". Thesis, Swansea University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.638814.
Texto completoAl-Juffali, Abdullah Ali S. "Modelling, simulation and optimisation of back contact silicon solar cells". Thesis, Cardiff University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329638.
Texto completoDavidson, Lauren Michel. "Strategies for high efficiency silicon solar cells". Thesis, University of Iowa, 2017. https://ir.uiowa.edu/etd/5452.
Texto completoEkhagen, Sebastian. "Silicon solar cells: basics of simulation and modelling : Using the mathematical program Maple to simulate and model a silicon solar cell". Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-62611.
Texto completoFallisch, Arne Jürgen [Verfasser]. "Fabrication, Analysis and Modelling of Emitter Wrap-Through Silicon Solar Cells / Arne Fallisch". München : Verlag Dr. Hut, 2013. http://d-nb.info/103184466X/34.
Texto completoAhmed, Fatema. "Structural properties and optical modelling of SiC thin films". University of the Western Cape, 2020. http://hdl.handle.net/11394/7284.
Texto completoAmorphous silicon carbide (a-SiC) is a versatile material due to its interesting mechanical, chemical and optical properties that make it a candidate for application in solar cell technology. As a-SiC stoichiometry can be tuned over a large range, consequently is its bandgap. In this thesis, amorphous silicon carbide thin films for solar cells application have been deposited by means of the electron-beam physical vapour deposition (e-beam PVD) technique and have been isochronally annealed at varying temperatures. The structural and optical properties of the films have been investigated by Fourier transform Infrared and Raman spectroscopies, X-ray diffraction, Scanning Electron Microscopy, Energy Dispersive X-ray Spectroscopy and UV-VIS-NIR spectroscopy. The effect of annealing is a gradual crystallization of the amorphous network of as-deposited silicon carbide films and consequently the microstructural and optical properties are altered. We showed that the microstructural changes of the as-deposited films depend on the annealing temperature. High temperature enhances the growth of Si and SiC nanocrystals in amorphous SiC matrix. Improved stoichiometry of SiC comes with high band gap of the material up to 2.53 eV which makes the films transparent to the visible radiation and thus they can be applied as window layer in solar cells.
Temple, Tristan Leigh. "Optical properties of metal nanoparticles and their influence on silicon solar cells". Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/66674/.
Texto completoMailoa, Jonathan P. "Anti-reflection zinc oxide nanocones for higher efficiency thin-film silicon solar cells". Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77250.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 77-80).
Thin film silicon solar cells, which are commonly made from microcrystalline silicon ([mu]c-Si) or amorphous silicon (a-Si), have been considered inexpensive alternatives to thick polycrystalline silicon (polysilicon) solar cells. However, the low solar efficiency of these thin film cells has become a major problem, which prevents thin film silicon cells from being able to compete with other solar cells in the market. One source of inefficiency is the light reflection off the interface between the thin film cell's top Transparent Conducting Oxide (TCO) and the light absorbing silicon. In this work, we demonstrate the use of nanocone textured ZnO as the anti-reflection surface that mitigates this problem. The tapered structure of the nanocone forms a smooth transition of refractive index on the interface between the TCO (ZnO) and the silicon, effectively acting as a wideband Anti-Reflection coating (AR coating). Finite Difference Time Domain simulation is used to estimate the optimal ZnO nanocone parameter (periodicity and height) to be applied on a single junction microcrystalline silicon ([mu]c-Si) solar cell. Relative improvement over 25% in optical performance is achieved in the simulated structure when compared to state-of-the-art [mu]c-Si cell structure. Cheap and scalable colloidal lithography method is then developed to fabricate ZnO nanocone with the desired geometry. Since the ZnO texturing technique works by depositing ZnO on nanocone-textured glass substrate, the technique is potentially applicable to Transparent Conducting Oxides other than ZnO as well, making it a useful TCO texturing technique for solar cell applications.
by Jonathan P. Mailoa.
M.Eng.
Ning, Steven. "Simulation and process development for ion-implanted N-type silicon solar cells". Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47684.
Texto completoLibros sobre el tema "Computer Modelling - Silicon Solar Cells"
Krumbein, Ulrich. Simulation of carrier generation in advanced silicon devices. Konstanz: Hartung-Gorre, 1996.
Buscar texto completoStaats, Richard L. Forward-bias current annealing of radiation damaged gallium arsenide and silicon solar cells. 1987.
Buscar texto completoCapítulos de libros sobre el tema "Computer Modelling - Silicon Solar Cells"
Krc, Janez, Martin Sever, Benjamin Lipovsek, Andrej Campa y Marko Topic. "Optical Modelling and Simulations of Thin-Film Silicon Solar Cells". En Photovoltaic Modeling Handbook, 93–140. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119364214.ch4.
Texto completoChaudhary, Jatin Kumar, Jiaqing Liu, Jukka-Pekka Skön, Yen Wie Chen, Rajeev Kumar Kanth y Jukka Heikkonen. "Optimization of Silicon Tandem Solar Cells Using Artificial Neural Networks". En Lecture Notes in Computer Science, 392–403. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34885-4_30.
Texto completoSuganya, T., V. Rajendran y P. Mangaiyarkarasi. "Parameters Extraction of the Double Diode Model for the Polycrystalline Silicon Solar Cells". En Communications in Computer and Information Science, 47–55. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81462-5_5.
Texto completoKumari, Juhi, Rahul y Pratima Agarwal. "Modelling of p-a-Si:H/i-a-Si:H/(n)c-Si Silicon Solar Cells by AFORS-HET Software". En Sustainable Energy Generation and Storage, 127–33. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2088-4_10.
Texto completoRizwan, M. "Simulation Models for Solar Photovoltaic Materials". En Materials Research Foundations, 114–33. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901410-5.
Texto completoEdmiston, S. A., G. Heiser, A. B. Sproul y M. A. Green. "Improved Modelling of Grain Boundary Recombination in Bulk and p–n Junction Regions of Polycrystalline Silicon Solar Cells". En Renewable Energy, 92–113. Routledge, 2018. http://dx.doi.org/10.4324/9781315793245-48.
Texto completoSingh, M. "Piezoelectric Materials based Phototronics". En Materials Research Foundations, 117–37. Materials Research Forum LLC, 2022. http://dx.doi.org/10.21741/9781644902097-4.
Texto completoSingh, M. "Piezoelectric Materials based Phototronics". En Materials Research Foundations, 117–37. Materials Research Forum LLC, 2022. http://dx.doi.org/10.21741/9781644902073-4.
Texto completoActas de conferencias sobre el tema "Computer Modelling - Silicon Solar Cells"
Baker-Finch, Simeon C., Keith R. McIntosh, Daniel Inns y Mason L. Terry. "Modelling isotextured silicon solar cells and modules". En 2012 IEEE 38th Photovoltaic Specialists Conference (PVSC). IEEE, 2012. http://dx.doi.org/10.1109/pvsc.2012.6317599.
Texto completoHussein, Mohamed, M. F. O. Hameed, S. S. A. Obayya y Mohamed A. Swillam. "Effective modelling of silicon nanowire solar cells". En 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES). IEEE, 2017. http://dx.doi.org/10.23919/ropaces.2017.7916023.
Texto completoReis, F., J. Wemans, G. Sorasio, N. Pereira y M. C. Brito. "Modelling CPV silicon solar cells under inhomogeneous irradiation". En 8TH INTERNATIONAL CONFERENCE ON CONCENTRATING PHOTOVOLTAIC SYSTEMS: CPV-8. AIP, 2012. http://dx.doi.org/10.1063/1.4753863.
Texto completoPaetzold, Ulrich W., Robert Gehlhaar, Jeffrey G. Tait, Weiming Qiu, Joao Bastos, Maarten Debucquoy, Manoj Jaysankar, Tom Aernouts y Jef Poortmans. "Optical loss analyses and energy yield modelling of perovskite/silicon multijunction solar cells". En Optics for Solar Energy. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/ose.2016.sow2c.4.
Texto completoTomšic, Špela, Benjamin Lipovšek, Matevž Bokalic y Marko Topič. "Thermal modelling and simulation of crystalline silicon solar cells and modules". En Physics, Simulation, and Photonic Engineering of Photovoltaic Devices X, editado por Alexandre Freundlich, Karin Hinzer y Stéphane Collin. SPIE, 2021. http://dx.doi.org/10.1117/12.2583024.
Texto completoVolk, Anne-Kristin, William Glover, Johannes Greulich, Simon Gutscher, Winfried Wolke, Martin Zimmer, Jochen Rentsch y Holger Reinecke. "Optical modelling of the front surface for honeycomb-textured silicon solar cells". En 2014 IEEE 40th Photovoltaic Specialists Conference (PVSC). IEEE, 2014. http://dx.doi.org/10.1109/pvsc.2014.6925144.
Texto completoCatchpole, Kylie. "Optical and electrical modelling for high efficiency perovskite/silicon tandem solar cells". En 2016 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD). IEEE, 2016. http://dx.doi.org/10.1109/nusod.2016.7547093.
Texto completoLehr, Jonathan, Malte Langenhorst, Raphael Schmager, Uli Lemmer, Bryce Richards y Ulrich Paetzold. "Energy Yield Modelling of Textured Perovskite/Silicon Two-Terminal Tandem Photovoltaic Modules". En nanoGe International Conference on Perovskite Solar Cells, Photonics and Optoelectronics. València: Fundació Scito, 2018. http://dx.doi.org/10.29363/nanoge.nipho.2019.031.
Texto completoWright, Brendan y Brett Hallam. "Unsupervised machine learning for photovoltaic systems: Modelling LID dynamics in SHJ solar cells". En SiliconPV 2021, The 11th International Conference on Crystalline Silicon Photovoltaics. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0089218.
Texto completoRahman, Tasmiat y Kristel Fobelets. "Simulation of Rough Silicon Nanowire Array for Use in Spin-on-Doped PN Core-Shell Solar Cells". En 2013 European Modelling Symposium (EMS). IEEE, 2013. http://dx.doi.org/10.1109/ems.2013.122.
Texto completoInformes sobre el tema "Computer Modelling - Silicon Solar Cells"
Rohatgi, A., A. W. Smith y J. Salami. Modelling and fabrication of high-efficiency silicon solar cells. Office of Scientific and Technical Information (OSTI), octubre de 1991. http://dx.doi.org/10.2172/10104501.
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