SUSTAINABLE MANAGEMENT OF ELECTRONIC WASTE
Written and edited by a group of industry professionals, this new volume provides cutting-edge insights into how the sustainability of managing electronic waste can be achieved, for engineers, scientists, and students.
As a result of the rapid advancement of technology and the globalization of the economy, waste electrical and electronic equipment (WEEE) management has become increasingly important. Manufacturers are especially concerned about the proper disposal of their waste, and researchers need to identify the obstacles and enablers that stand in the way of implementing a long-term WEEE management system in order to develop a long-term WEEE management system. Further, the literature did not adequately capture the perspectives of multiple stakeholders while also identifying the enablers required for the development of sustainable WEEE management policies, which was particularly important in developing countries.
This volume fills a gap in the literature by considering the perspectives of multiple stakeholders to identify enablers of sustainable WEEE management in emerging economies which was previously unexplored. This book focuses on the most recent technological advancements for the twenty-first century, emphasizing the synergies that exist between computer science, bioinformatics, and other sciences. The research and development of artificial intelligence, machine learning, blockchain technologies, quantum computing with cryptography, nanotechnology, sensors based on biotechnology, Internet of Things devices, nature-inspired algorithms, computer vision techniques, computational biology, and other topics are covered in this book, along with their applications in the fields of science, engineering, physical science, and economics. Modern environmental techniques are among the most innovative innovations emerging as a result of the insatiable demand for health standards in the modern world.
Table of Contents
Foreword xvii
Preface xix
1 Integration of Artificial Intelligence Techniques for Energy Management 1
Bhanu Chander and Kumaravelan Gopalakrishnan
2 Artificial Neural Network Process Optimization for Predicting the Thermal Properties of Biomass: Recent Advances and Future Challenges 47
S. Dayana Priyadharshini and M. Arvindhan
3 E-Waste Management and Bioethanol Production 67
Anshu Sibbal Chatli
4 A Novel-Based Smart Home Energy Management System for Energy Consumption Prediction Using a Machine Learning Algorithm 79
N. Deepa, Devi T., S. Rakesh Kumar and N. Gayathri
6 Comprehensive Review of IoT-Based Green Energy Monitoring Systems 113
Aishwarya V.
7 The Contribution of Renewable Energy with Artificial Intelligence to Accomplish Organizational Development Goals and Its Impacts 145
K. M. Baalamurugan and Aanchal Phutela
8 Current Trends in E-Waste Management 167
Anjali Sharma, Devkant Sharma, Deepshi Arora and Ajmer Singh Grewal
9 Current E-Waste Management: An Exploratory Study on Managing E-Waste for Environmental Sustainability 187
Shweta Solanki and Pramod Singh Rathore
10 Challenges in E-Waste Management 201
Himani Bajaj, Anjali Sharma, Deepshi Arora, Mayank Yadav, Devkant Sharma and Prabhjot Singh Bajwa
11 Recycling of Electronic Wastes: Practices, Recycling Methodologies, and Statistics 221
Suresh Chinnathampy M., Ancy Marzla A., Aruna T., Dhivya Priya E. L., Rindhiya S. and Varshini P.
12 Sustainable Development Through the Life Cycle of Electronic Waste Management 237
D. Magdalin Mary, S. Jaisiva, C. Kumar and P. Praveen Kumar
13 E-Waste Challenges & Solutions 255
K. Dhivya and G. Premalatha
14 Global Challenges of E-Waste: Its Management and Future Scenarios 277
Pranay Das and Swati Singh
15 Impact of E-Waste on Reproduction 293
Adrija Roy, Sayantika Mukherjee, Dipanwita Das and Amrita Saha
16 Challenges in Scale-Up of Bio-Hydrometallurgical Treatment of Electronic Waste: From Laboratory-Based Research to Practical Industrial Applications 301
Ana Cecilia Chaine Escobar, Andrew S. Hursthouse and Eric D. van Hullebusch
17 Current Advances in Recycling of Electronic Wastes 341
Kumar Sagar Maiti, Irin Khatun, Serma Rimil Hansda and Dipankar Ghosh
18 E-Waste: The Problem and the Solutions 375
Krati Taksali and Pramod Singh Rathore
19 Contribution of E-Waste Management in Green Computing 397
Shweta Sharma and Vishal Dutt
References 411
Index 413
