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  • av John L. Woodward
    2 578,-

    This CCPS Concept book shows designers and operators of chemical facilities how to realistically estimate the flammable mass in a cloud of accidentally released material that is capable of igniting. It provides information on industry experience with flammable vapor clouds, basic concepts of fires and explosions, and an overview of related computer programs.

  • - Modeling and Consequence Analysis
    av John L. Woodward
    1 821,-

    Liquefied Natural Gas (LNG) is the only viable way to extract and transport natural gas from areas not serviceable by a pipeline, but it also poses safety risks. This book examines the safety concerns regarding LNG, and examines the debate between its advocates and its opponents.

  • - A Model with Data to Predict Aerosol Rainout in Accidental Releases
    av David W. Johnson & John L. Woodward
    4 051,-

    This book documents CCPS's Aerosol Research Program to develop a model to predict liquid rainout from release of a pressurized, liquefied gas--and, hence the residual amount of material in a vapor cloud, which may be greater than the amount calculated from an enthalpy chart. RELEASE predicts the rate of fluid discharge, the depressurization, flashing and formation of liquid drops, the entrainment of drops into the vapor cloud, the subsequent spreading of the jet, and rate of liquid rainout to a pool on the ground. Designed in a modular fashion to permit adjustment and corrections as new data become available, its multi-layered approach contains sub-models that include the complexities of many variables, including the effect of liquid superheat, rate of bubble growth, criterion for bubble formation, and heat transfer from the liquid to the growing vapor bubble. To validate RELEASE, CCPS conducted small- and large-scale experiments using superheated water, heated liquefied chlorine, methylamine, and cyclohexane that produced valuable data in an area where data are scarce. This book gives complete access, in text and on CD-ROM, to the model and the test data, giving users an informed ability to apply the model to their own work.

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