Neuware - Renewable and Clean Energy Systems Based on Advanced Nanomaterials: Basis, Preparation and Applications describes the fundamental aspects of a diverse range of nanomaterials used in the fields of renewable and clean energy. Various methods of preparing several different nanomaterials for green energy systems, such as advanced nanomaterials for solar cells, mixed metal oxide-based nanomaterials for hydrogen storage, and active nanomaterials for Li ion batteries are presented along with their advantages, disadvantages, and applications. Chapters also discuss novel methods of power analysis, frequency regulation methods, practical applications of solar panels, economic efficiency of solar energy, solar physics, and much more. This is a valuable resource on the basic science, preparation methods, and practical applications of advanced nanomaterials for green energy systems.

N� de ref. del art�culo 9780443139505

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T�tulo: Renewable and Clean Energy Systems Based on Advanced Nanomaterials : Basis, Preparation, and Applications
Editor: Elsevier - Health Sciences Division Jul 2024
Fecha de publicaci�n: 2024
Idioma: Ingl�s
ISBN 10: 0443139504
ISBN 13: 9780443139505
Encuadernaci�n: Taschenbuch
Estado: Neu

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Sinopsis

Renewable and Clean Energy Systems Based on Advanced Nanomaterials: Basis, Preparation and Applications describes the fundamental aspects of a diverse range of nanomaterials used in the fields of renewable and clean energy. Various methods of preparing several different nanomaterials for green energy systems, such as advanced nanomaterials for solar cells, mixed metal oxide-based nanomaterials for hydrogen storage, and active nanomaterials for Li ion batteries are presented along with their advantages, disadvantages, and applications. Chapters also discuss novel methods of power analysis, frequency regulation methods, practical applications of solar panels, economic efficiency of solar energy, solar physics, and much more.

This is a valuable resource on the basic science, preparation methods, and practical applications of advanced nanomaterials for green energy systems.

Features recent advances on nanomaterials preparation methods and their applications in photovoltaic technology
Discusses sustainable strategies for producing large-scale nanomaterials, focusing on preparation techniques that are cost-effective and eco-friendly
Reviews the efficiency of nanomaterials used in solar energy storage and conversion

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Sahar Zinatloo-Ajabshir is Associate Professor of Nanoscience and Nanotechnology. She obtained her M.Sc. in nanoscience and nanotechnology from the University of Tehran, in 2010. Then after completing her PhD in nanoscience and nanotechnology in 2015 from the University of Kashan, she then went on to join the group of Professor Masoud Salavati-Niasari as a post-doc researcher. She became a faculty member of the University of Bonab, in 2017.

Her research interests include the development of different types of nanoscale materials, especially the preparation of ceramic nanomaterials and investigation of their applications in various fields such as hydrogen storage, photocatalysis, environmental remediation, and drug delivery systems. During her career, she has published several scientific papers in high impact factor journals, as well as book chapters, books and conference proceedings. She is also an active referee or on the editorial board for several international journals.

Dr. Ardashir Mohammadzadeh was born in West Azerbaijan, Iran. He received his B.Sc. in 2011 July from Sahand University of Technology, Tabriz, Iran; His M.Sc., in 2013 September from K.T University of Technology, Tehran, Iran; and his Ph.D. in 2016 November from the University of Tabriz, Tabriz, Iran. In 2017 December he joined to University of Bonab, Bonab, Iran as an assistant professor. In 2023 he joined Shenyang University of Technology, as a professor. He has published many papers in most reputed journals. Dr. Mohammadzadeh is an academic editor and reviewer of several journals. His research interests include artificial intelligence theory, fuzzy logic systems; machine learning, neural networks, intelligent control, electrical vehicles, power systems control, chaotic systems, and medical control systems.

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