4 research outputs found

    HELPING TO EXPLAIN LIGHTING QUALITY & ENERGY EFFICIENCY TO NON-EXPERTS

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    CIBSE & SLL International lighting Conferenc

    Requirements for Thermochemical Data in the Lighting Community

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    The need for thermochemical data in the lighting industry is reviewed; these data are required not only in the research and development phase but also throughout the product life cycle. This review has lead to: a summary of commercially available integrated thermochemical databanks; a bibliography of thermodynamic databases available in electronic format; a list of collections of thermodynamic data that are highly valuable but not available in electronic format; a bibliography for chemical systems of specific interest to research into high intensity discharge lamps. The bibliographies will be of interest to those involved in molten salts and ionic liquids research as well as to those seeking information on alloys, oxide systems and nuclear materials. A review of the current state of ab initio calculations for the determination of thermochemical parameters is also included

    Requirements for Thermochemical Data in the Lighting Community

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    International audienc

    Selected thermochemical parameters for Tin(II) Halides, SnXX ' (X, X ' = Cl, Br, I)

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    The tin(II) halides are important in a number of industrial processes and technological devices, for example, in the chemical vapor deposition of tin(IV) oxide films for the semiconductor industry, in the production of catalysts, and as a method of refining the spectral output of high intensity discharge lamps. Modeling of such processes requires databases of reliable, self-consistent thermochemical parameters. A survey of the physicochemical properties and appropriate standard thermochemical data has been made for the tin(II) halides, SnXX' (X, X' = Cl, Br, I), and a self-consistent set of thermochemical parameters are selected for the solid, liquid, and gas phases of these materials. In a few cases where data are simply unavailable, data are derived using a variety of estimation techniques. The benchmark employed to select the parameters in this work is that they accurately predict experimental vapor pressures where these are available. Finally, estimation techniques (Supporting Information) are used to provide supporting evidence as to the correctness of the magnitudes of data selected using the benchmark
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