Sub- and Supercritical Hydrothermal Technology Sub- and Supercritical Hydrothermal Technology

Sub- and Supercritical Hydrothermal Technology

Industrial Applications

    • $1,349.00
    • $1,349.00

Descripción editorial

Sub- and Supercritical Hydrothermal Technology: Industrial Applications offers a practical view of a variety of industrial applications and their challenges, offering a deep understanding of the application of sub- and supercritical fluids and their techno-economic viability.

This book covers a wide range of applications of hydrothermal processing that result in almost zero waste, high energy efficiency, sustainable chemical processes, and minimal impact over the life cycle. These applications include processing of hazardous waste, bioproducts, coal, lipids, heavy oil and bitumen, and carbon materials. The use of hot-compressed water instead of different organic solvents, such as methanol, acetone, and hexane, is an environmentally benign, green, and sustainable option which can help to design chemical processes that support green chemistry and engineering.

This book is pertinent for researchers and professionals in the fields of chemical engineering, industrial chemistry, environmental engineering, materials engineering, and manufacturing.

GÉNERO
Ciencia y naturaleza
PUBLICADO
2019
5 de noviembre
IDIOMA
EN
Inglés
EXTENSIÓN
233
Páginas
EDITORIAL
CRC Press
VENDEDOR
Taylor & Francis Group
TAMAÑO
6.4
MB
Genomics at the Nexus of AI, Computer Vision, and Machine Learning Genomics at the Nexus of AI, Computer Vision, and Machine Learning
2024
Biopharmaceutical Informatics Biopharmaceutical Informatics
2025
Artificial Intelligence and Machine Learning Applications for Sustainable Development Artificial Intelligence and Machine Learning Applications for Sustainable Development
2025
Agriculture Toward Net Zero Emissions Agriculture Toward Net Zero Emissions
2025
Advances in Aerial Sensing and Imaging Advances in Aerial Sensing and Imaging
2024
Optimized Predictive Models in Health Care Using Machine Learning Optimized Predictive Models in Health Care Using Machine Learning
2024