Optimizing Biofuel Production with Artificial Intelligence

Optimizing Biofuel Production with Artificial Intelligence

Optimizing Biofuel Production with Artificial Intelligence

Author: Arindam Kuila (Editor), Deepak Kumar (Editor)

Publisher finelybook 出版社:‏ ‎ Wiley-Scrivener

Edition 版本:‏ 1st edition

Publication Date 出版日期:‏ 2025-05-28

Language 语言: English

Print Length 页数: 384 pages

ISBN-10: 1394301219

ISBN-13: 9781394301218

Book Description

Optimizing Biofuel Production with Artificial Intelligence will help readers discover how integrating artificial intelligence with biotechnological advancements can revolutionize biofuel production, ensuring a sustainable energy future in response to pressing global challenges like pollution and climate change.

This book presents artificial intelligence as a technique to aid the production of biofuels. Recently, tremendous developments have been made in energy and environmental biotechnologies, spurred by societal issues like pollution control, energy security, and climate change. Energy can be obtained from a variety of sources, including coal, oil, natural gas, solar, wind, and nuclear energy. The need to transition to new energy results from finite resources and economic sustainability. Biotechnological process optimization is crucial for ensuring a quality final product and boosting bioconversion performance efficiency. When combined with traditional simulation and modeling methods, artificial intelligence and computer technology can help define ideal process parameters and save total process costs. The energy sector can benefit from artificial intelligence in several ways, including increased asset efficiency, early detection and assessment of wildfire risks, assistance with vegetation management and storm recovery, and optimized energy use. The new frontier for energy is biomass.

From the Back Cover

Optimizing Biofuel Production with Artificial Intelligence will help readers discover how integrating artificial intelligence with biotechnological advancements can revolutionize biofuel production, ensuring a sustainable energy future in response to pressing global challenges like pollution and climate change.

This book presents artificial intelligence as a technique to aid the production of biofuels. Recently, tremendous developments have been made in energy and environmental biotechnologies, spurred by societal issues like pollution control, energy security, and climate change. Energy can be obtained from a variety of sources, including coal, oil, natural gas, solar, wind, and nuclear energy. The need to transition to new energy results from finite resources and economic sustainability. Biotechnological process optimization is crucial for ensuring a quality final product and boosting bioconversion performance efficiency. When combined with traditional simulation and modeling methods, artificial intelligence and computer technology can help define ideal process parameters and save total process costs. The energy sector can benefit from artificial intelligence in several ways, including increased asset efficiency, early detection and assessment of wildfire risks, assistance with vegetation management and storm recovery, and optimized energy use. The new frontier for energy is biomass.

About the Author

Arindam Kuila, PhD, is an assistant professor in the Department of Bioscience and Biotechnology, Banasthali Vidyapith, Rajasthan, India. He has co-authored 35 peer-reviewed articles and 18 book chapters, edited 12 books, and filed six patents. In addition to his written work, he has completed an Indo-Brazil collaborative project funded by India’s Department of Biotechnology. His research interests include environmental biotechnology, lignocellulosic biofuel, and bioremediation.

Depak Kumar, PhD, is an assistant professor in the Department of Chemical Engineering, Banasthali Vidyapith, Rajasthan, India. He has published several articles in international journals of repute, as well as three book chapters and three books. His research interests include solar cell degradation, stability of solar cells, and energy conversion devices.

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