Green Technology and Industry 4.0 for Sustainable Future

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Green Technology and Industry 4.0 for Sustainable Future

  • ウェブストア価格 ¥51,286(本体¥46,624)
  • CRC Press(2026/03発売)
  • 外貨定価 US$ 235.00
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  • ポイント 2,330pt
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  • 製本 Hardcover:ハードカバー版/ページ数 400 p.
  • 言語 ENG
  • 商品コード 9781032746623
  • DDC分類 333.794

Full Description

The text provides readers with an understanding of how green technology solutions can be applied to support sustainable manufacturing practices in the context of Industry 4.0. It illustrates practical guidance and case studies that demonstrate the potential benefits of this approach, as well as insights into cutting-edge research, and best practices.

This book:

Discusses topics such as zero-emission, carbon-neutral materials, wastewater management, additive and lean manufacturing, and the Internet of Things for green technology
Highlights the importance of using sustainable materials such as bioplastics, bio-based polymers, and sustainable composites for reducing the environmental impact of manufacturing activities
Shares ideas, research development, and methods on opportunities and challenges in green technology such as wastewater management, usage of green materials, and waste to energy
Showcases energy-efficient technologies such as light- emitting diode (LED) lighting, efficient heating, cooling systems, and automated energy management systems in reducing energy consumption
Covers artificial intelligence, machine learning, and the Internet of Things (IoT) in optimizing industrial processes, reducing waste and energy consumption, and improving overall efficiency

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, environmental engineering, manufacturing engineering, industrial engineering, and production engineering.

Contents

1. Assessment of Sub-synchronous Oscillations in DFIG-Based Wind Farms. 2. Integration of Electric Transport with Smart Grids. 3. Biomining: A Sustainable Approach for Managing Dumpsite Waste - An In-depth Review. 4. Enhancing Solar Irradiance Forecasting: A Comprehensive Exploration of Various Clustering Methods Combined with MLPNN. 5. GREEN ICT: Management of E-Waste for Environmental Sustainability. 6. Impact of Tetrabutylammonium Bromide-Based Deep Eutectic Solvent on the Kinetic Hydrate Inhibition of Methane Hydrate. 7. K-Means Clustering Boosted Hybrid CNN-LSTM Models for Indoor Occupancy, Temperature, and Energy Consumption Prediction. 8. Modelling and Numerical Simulation of Domestic Electrical Induction Cooker Using Chebfun for Uniform Temperature Distribution on Working Plate. 9. Smart Grid and Energy Management. 10. Importance of Green Technology and Sustainable Development in Higher Educational Institutes: A Critical Study. 11. Enhanced Energy Planning in Jammu and Kashmir Through AI-Driven Solar Power Forecasting. 12. Sustainable Solutions: Exploring the Latest Innovations in Green Technology. 13. Estimating Levels of Surface Contamination of Silicone Rubber Insulators by Employing Wavelet Decomposition and Machine Learning-Based Techniques. 14. Exploiting Smart City Technology: Using Convolution Neural Network Computer Vision tools for COVID-19 Monitoring. 15. Solubility of Curcuminoids in Natural Deep Eutectic Solvents: A COSMO-SAC led approach. 16. Wastewater management: from ancient times to advanced technologies.