Digital Twins and Esg

1. Auflage 2025
ISBN: 978-1-394-30321-2
Verlag: Wiley

Buch, Englisch, 448 Seiten

Digital Twins and ESG provides essential insight on how integrating cutting-edge Digital Twin technology with ESG practices can transform the understanding of sustainability and propel businesses towards a more transparent, accountable, and responsible future.

Digital Twins and ESG introduces the dynamic world of ESG practices, emphasizing the pivotal role technology plays in shaping and advancing sustainability goals. It introduces readers to the multifaceted world of Digital Twin technology, offering a comprehensive understanding of its historical development and diverse applications across industries. This volume will intricately examine the integration of Digital Twins in ESG metrics and reporting frameworks. Artificial intelligence, machine learning, and blockchain technologies are also discussed as key enablers for achieving ESG goals, providing readers with a glimpse into the potential advancements and breakthroughs that lie ahead. Through detailed analyses and case studies, readers will gain insights into how Digital Twins enhance data collection, monitoring, and reporting, elevating transparency and accountability. Digital Twins and ESG serves as a rallying call, urging businesses to embrace Digital Twins as an integral component of their ESG strategies, ultimately paving the way for a more sustainable and responsible future.

Autoren/Hrsg.

Mondal, Surajit

Kumar, Adesh

Khan, Mudassir

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Entwicklungsökonomie & Emerging Markets
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Entwicklungsstudien

Inhaltsverzeichnis

Preface xv

1 Digital Twins: Driving Innovation Through Virtual Optimization – A Systematic Review 1
Supriya, Vansh Joshi, Yash Singhal, Mudit Kumar and Parth Sharma

1.1 Introduction 1
1.2 Literature Review 7
1.3 Applications and Use Cases 10
1.4 Challenges and Limitations 12
1.5 Future Trends and Research Directions 13
1.6 Conclusion 14

2 Core Principles and Applications of Digital Twins 17
Nitin Cholkar and Nitin Mahankale

2.1 Introduction 18
2.2 History and Evolution of Digital Twins 18
2.3 Key Components of Digital Twins 20
2.4 Types of Digital Twins 21
2.5 Digital Twin Architecture 24
2.6 Interaction between Physical and Digital Components 26
2.7 Data Flow and Management 28
2.8 Digital Twin Frameworks 29
2.9 Role of Cloud Computing in Digital Twins 31
2.10 Data Collection and Integration 32

3 ESG 2.0: Evolving Foundations and Strategies 39
Nitin Mahankale and Nitin Cholkar

3.1 Introduction to ESG and Its Evolution 39
3.2 Scope 40
3.3 From ESG 1.0 to ESG 2.0 Evolution 40
3.4 Key Drivers and Trends Influencing ESG 2.0 41
3.5 The Core Areas of ESG 2.0 43
3.6 Conclusion 53

4 Fundamentals of Digital Twins 57
Vineet Kumar and Ujjwal

4.1 Introduction 58
4.2 Evolution of Digital Twins 59
4.3 Types of Digital Twins 60
4.4 Classification of DT Based on Their Applications 62
4.5 Steps Involved in Creating DT 63
4.6 Characteristics of DT 64
4.7 Advantages of DT 64
4.8 Disadvantages of DT 65
4.9 Key Enablers 65
4.10 Applications of DT 67

5 Machine Learning Lending a Hand to ESG: A Case Study on CO 2 Emissions 75
Supriya, Vriti Amit Khandelwal, Kushagar Sharma and Vasu Sharma

5.1 Introduction 75
5.2 Evolution of ESG 78
5.3 Applications of ESG 80
5.4 Challenges and Limitations of ESG 82
5.5 Case Study 83
5.6 Conclusion 86

6 A Comprehensive Review on Digital Initiatives Fostering Improvements in Solar PV Systems 89
Sivasankari Sundaram, Almas and Pavan Darbha

6.1 Introduction 90
6.2 Digital Model Applications in the Field of Solar PV Industry 94
6.3 Digital Twin of Solar PV Plant 119
6.4 Conclusion 121

7 The Convergence of AI, ML, and Digital Twins in Shaping the Future of ESG 129
Aaryan Gupta, Preeti Narooka, Ishani Lohar and Mansi Amarnani

7.1 Introduction 130
7.2 Understanding Digital Twins 130
7.3 AI and ML Technologies 133
7.4 Integration of AI, ML, and Digital Twins 139
7.5 Impact on ESG Metrics and Reporting 141
7.6 Innovations and Future Directions 145
7.7 Challenges and Considerations 148
7.8 Conclusion 154

8 A Roadmap for Sustainable Industry: Merging ESG, Digital Twin, and Circular Economy Practices 159
Adith Kumar and Harshit Tiwari

8.1 Introduction 160
8.2 Environmental, Social and Governance (ESG) 161
8.3 Digital Twin Technology 166
8.4 Circular Economy 169
8.5 Life Cycle Assessment (LCA) 175
8.6 Conclusion 186

9 Waste Biomass to Bioenergy with Regulatory Framework for a Sustainable Economy 189
Debajyoti Bose, Riya Bhattacharya, Rashmi Raj, L. S. Pranathi Ganti, Abhijeeta Sarkar and Margavelu Gopinath

9.1 Introduction 190
9.2 Biowaste Sources 191
9.3 Bioengineering Techniques for Biowaste Conversion to Bioenergy 198
9.4 Social Impact of Bioenergy Products 201
9.5 Bio-Circular Economy for Sustainable Bioenergy Production 210
9.6 Future Perspective 220

10 An Automated System to Identify and Detect the Faults in Bottle Cap Production and Visual Inspection Using Raspberry Pi 227
Shaik Asif Hussain, Mudassir Khan, J. Chinna Babu, Shaik Javeed Hussain and Yu-Chen Hu

10.1 Introduction 228
10.2 Existing Techniques and Proposed Approach 231
10.3 Design and Implementation 234
10.4 System Validation 239
10.5 Conclusion 243

11 DDoS Detection Using Semi-Supervised Machine Learning Algorithms 247
Ajmeera Kiran, Mudassir Khan, J. Chinna Babu, B. P. Santosh Kumar and Mohammad Mazhar Nezami

11.1 Introduction 248
11.2 Existing System 252
11.3 Proposed System 255
11.4 Conclusion 266

12 Enhanced Encryption and Digital Signature Scheme Utilizing EC-Based Encryption and Multi-Chaotic Pseudo Random Generation 269
Mudassir Khan, S.Z. Parveen, Shaik Karimullah and Barga Mohammed Mujahid

12.1 Introduction 270
12.2 Literature Review 272
12.3 Proposed Methodology 276
12.4 Simulation Results 280
12.5 Conclusion and Future Scope 288

13 Utilization of Waste for Production of Nanomaterials: An Industry 4.0 Approach of Waste to Wealth 293
Dip Jyoti Sardar, Parna Ganguli, Arpita Ghosh and Surabhi Chaudhuri

13.1 Introduction 294
13.2 Critical Review 295
13.3 Conclusions, Recommendations, Future Perspectives 312

14 Factors Affecting Sanitation Behavior Among Rural Communities in Low and Middle-Income Countries: A Critical Review 321
Arpita Ghosh, Puneet Sharma and Parul Malik

14.1 Introduction 322
14.2 Research Methodology 325
14.3 Literature Review 347
14.4 Recommendations and Conclusion 370

15 Assessing the Comparison of Environmental and Social Governance (ESG) Performance of Tourism Companies Worldwide 379
Arpita Ghosh, Abhishek Kumar and Ananya Das

15.1 Introduction 380
15.2 Methodology 38
15.3 Literature Discussion 382
15.4 Secondary Data and Discussion 384
15.5 Conclusion and Recommendation 391

16 Ion Beam Induced PMMA-Based Corrosion-Resistant Hydrophobic Coating on a Metal Substrate 399
Udit Gupta, Kailash Pandey, Rakesh Jain and Rajeev Gupta

16.1 Introduction 399
16.2 Experimental 401
16.3 Results and Discussion 40216.4 Conclusion 407

References 408
Index 411

Über Autor(innen)

Surajit Mondal, PhD is teaching at the University of Petroleum and Energy Studies. He has published eight books, over 50 international research articles as an author or co-author, and 85 patents, 20 of which were granted. His research interests include optimization of renewable energy, biofuels, and solar thermal technologies.

Adesh Kumar, PhD is an associate professor in the Department of Electrical and Electronics Engineering at the University of Petroleum and Energy Studies with over 15 years of experience. He has published five books and over 100 research papers in international journals and conferences in addition to chairing over 200 conference sessions. His research interests include embedded systems, digital image processing, and telecommunications.

Mudassir Khan, PhD is a postdoctoral fellow at Multimedia University and a co-supervisor for Postgraduate Studies at Lincoln University College with over 13 years of experience. He has published over 80 research articles and more than 10 editorial books and authored four books, inspiring many in technology and education. His research interests include big data, deep learning, and AI, particularly in medical imaging.