Other UNSW

Publication Search Results

Now showing 1 - 10 of 31
  • (2001) Corkish, Richard; Altermatt, Pietro P.; Heiser, Gernot
    Journal Article
    Three-dimensional numerical simulations of electron-beam-induced current (EBIC) near a vertical silicon grain boundary are demonstrated. They are compared with an analytical model which excludes the effect of carrier generation other than in the bulk base region of a solar cell structure. We demonstrate that in a wide range of solar cell structures recombination in the space charge region (SCR) significantly affects the EBIC results and hence needs to be included in the data evaluation. Apart from these findings, simulations of a realistic silicon solar cell structure (thick emitter, field-dependent mobility, etc.) are demonstrated.

  • (1998) Bradley, Peter; Rozenfeld, Anatoly; Lee, Kevin; Jamieson, Dana; Heiser, Gernot; Satoh, S
    Journal Article
    The first results obtained using a SOI device for microdosimetry applications are presented. Microbeam and broadbeam spectroscopy methods are used for determining minority carrier lifetime and radiation damage constants. A spectroscopy model is presented which includes the majority of effects that impact spectral resolution. Charge collection statistics were found to substantially affect spectral resolution. Lateral diffusion effects significantly complicate charge collection

  • (1995) Heiser, Gernot; Altermatt, Peter; Williams, Angela-Margaret; Sproul, Alistair; Green, Martin
    Conference Paper
    This paper describes the use of three-dimensional (3D) device modelling for the optimisation of the rear contact geometry of high-efficiency silicon solar cells. We describe the techniques and models used as well as their limitations. Our approach is contrasted with previously published 3D studies of high-efficiency silicon solar cells. Results show that the optimum spacing is about 2/3 of that predicted by 2D simulations, and exhibits a much stronger dependence on contact spacing. The optimal value found is about 60% of that of the present UNSW PERL cells, however, the possible efficiency gain is only about 0.1% absolute.

  • (2000) Cotera, Angela; Simpson, John; Erickson, E; Colgan, Sean; Burton, Michael; Allen, David
    Journal Article

  • (2005) Russell, Carol; Lee, Adrian
    Conference Paper
    In this paper we describe an institutionally funded Fellowship running 2001– 2004, which seeded and cultivated new communities of practice in innovative teaching using educational technology. The literature identifies some inherent challenges in such schemes. The Fellowship was able to surface and deal with these through a team-based action research approach. Key features were the buying out of staff time for a semester and the development of discipline-based projects in a supported cross-disciplinary group. The Fellowship has been central to shifting systemic institutional blocks to educational innovation.

  • (2007) Zhu, Liming; Ali Babar, Muhammad; Staples, Mark; Nonaka, Makoto
    Book Chapter
    The possible variability of project delay is useful information to understand and mitigate the project delay risk. However, it is not sufficiently considered in the literature concerning effort estimation and simulation in software product line development. In this paper, we propose a project delay simulation model by introducing a random variable to represent the variability of adaptive rework. The model has been validated through stochastic simulations by comparing generated adaptive rework to an actual change effort distribution, and by sensitivity analysis. The result shows that the proposed model is capable of producing reasonable variability of adaptive rework, and consequently, variability of project delay. Analysis of our model indicates that the strength of dependency has a larger impact than the number of residual defects, for the studied simulation settings. However, high levels of adaptive rework variability did not have great impact on overall project delay.

  • (2008) Frances, Maude; Cox, Shane; Sidhunata, Harry; Leslie, Greg
    Conference Paper
    The Membrane Research Environment (MemRE), is a research infrastructure project of the Advanced Membrane Technologies for Water Treatment Research Cluster, a research project funded by the CSIRO flagship Water for a Healthy Country. The research cluster, a nationally distributed and multidisciplinary group of researchers including computational and physical chemists, physicists, material scientists, and chemical and mechanical engineers, aims to develop novel membrane materials in order to reduce the energy associated with desalination by 40%.

  • (2007) Theo, J.; Mazaheri, M.; Tabatabaei Balaei, Asghar; Dempster, A.G
    Conference Paper

  • (2005) Su, H; McCabe, Matthew Francis; Wood, E.F.; Su, Z; Prueger, J.
    Journal Article
    he Surface Energy Balance System (SEBS) model was developed to estimate land surface fluxes using remotely sensed data and available meteorology. In this study, a dual assessment of SEBS is performed using two independent, high-quality datasets that are collected during the Soil Moisture-Atmosphere Coupling Experiment (SMACEX). The purpose of this comparison is twofold. First, using high-quality local-scale data, model-predicted surface fluxes can be evaluated against in situ observations to determine the accuracy limit at the field scale using SEBS. To accomplish this, SEBS is forced with meteorological data derived from towers distributed throughout the Walnut Creek catchment. Flux measurements from 10 eddy covariance systems positioned on these towers are used to evaluate SEBS over both corn and soybean surfaces. These data allow for an assessment of modeled fluxes during a period of rapid vegetation growth and varied hydrometeorology. Results indicate that SEBS can predict evapotranspiration with accuracies approaching 10%-15% of that of the in situ measurements, effectively capturing the temporal development of surface flux patterns for both corn and soybean, even when the evaporative fraction ranges between 0.50 and 0.90. Second, utilizing high-resolution remote sensing data and operational meteorology, a catchment-scale examination of model performance is undertaken. To extend the field-based assessment of SEBS, information derived from the Landsat Enhanced Thematic Mapper (ETM) and data from the North American Land Data Assimilation System (NLDAS) were combined to determine regional surface energy fluxes for a clear day during the field experiment. Results from this analysis indicate that prediction accuracy was strongly related to crop type, with corn predictions showing improved estimates compared to those of soybean. Although root-mean-square errors were affected by the limited number of samples and one poorly performing soybean site, differences between the mean values of observations and SEBS Landsat-based predictions at the tower sites were approximately 5%. Overall, results from this analysis indicate much potential toward routine prediction of surface heat fluxes using remote sensing data and operational meteorology. © 2005 American Meteorological Society.

  • (2009) Cox, Shane; Frances, Maude; Croucher, Joanne; Sidhunata, Harry; Leslie, Greg
    Conference Paper
    The Membrane Research Environment (MemRE) is a component research infrastructure project of the Advanced Membrane Technologies for Water Treatment Research Cluster, a research project funded by the CSIRO flagship Water for a Healthy Country. The research cluster, a nationally distributed and multidisciplinary group of researchers including computational and physical chemists, physicists, material scientists, and chemical and mechanical engineers, aims to develop novel membrane materials in order to reduce the energy associated with desalination by 40%. Common hurdles in multidisciplinary research projects include: a lack of consolidation of existing information relevant to the research from all the participating fields; an absence of information infrastructure to promote comparison of results; and the need for a common language to better enable project participants to communicate. MemRE has been designed and implemented as a solution to these hurdles, to provide an integrated research development tool and learning environment.