Isbn: 9780260553874 - four mathematical models for the prediction of lng densities (classic reprint) (3 resultados)

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  • Idioma: Inglés

    Editorial: Forgotten Books, 2018

    0260553875 / 9780260553874

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    Condición: Nuevo

    EUR 26,13

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    Cantidad disponible: 15 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Forgotten Books, 2018

    0260553875 / 9780260553874

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    Condición: Nuevo

    EUR 25,06

    Envío por EUR 3,83 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 15 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Forgotten Books, 2024

    0260553875 / 9780260553874

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    • Impresión bajo demanda

    Librería: Forgotten Books, London, Reino UnidoForgotten Books

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    Condición: Nuevo

    EUR 16,41

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    Cantidad disponible: Más de 20 disponibles

    Paperback. Condición: New. Print on Demand. This book is an exhaustive exploration of the mathematical models used to predict the density of liquefied natural gas (LNG), which plays a critical role as a clean, efficient fuel and essential feedstock in chemical manufacturing. It focuses on four of the most successful mathematical models developed by the author, meticulously comparing their performance through an in-depth analysis of experimental data collected from multiple sources. The book elucidates the models' theoretical underpinnings and provides a practical guide to their implementation for accurate LNG density prediction. It comprehensively reviews both the established body of work in the field and the author's own original research, placing this knowledge within the broader context of the ongoing quest for more sustainable solutions in energy and manufacturing. The book concludes that, given the temperature, pressure, and composition of LNG, any of the four models presented can be used to predict its density to within 1% of the true value. This achievement is a testament to the rigor and precision of the models and their potential for advancing the safe, efficient, and environmentally responsible use of LNG. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.…