Blockchain for Sustainability 1

Transforming Supply Chains and Reducing Carbon Impact
1. Auflage 2026
ISBN: 978-1-83669-094-8
Verlag: Wiley

Buch, Englisch, 224 Seiten

In an era where sustainability has become a global imperative, Blockchain for Sustainability 1 explores how blockchain technology can drive transparent, accountable and environmentally responsible business practices.

This book provides a comprehensive examination of blockchain-enabled solutions for sustainable supply chain management and carbon footprint reduction. It discusses the integration of distributed ledger technology with environmental, social and governance (ESG) objectives, highlighting mechanisms for traceability, resource optimization, waste reduction and emissions monitoring. Readers will gain insights into blockchain-based carbon accounting, smart contracts for sustainability compliance, circular economy applications and real-world case studies from diverse industries. The book also addresses implementation challenges, regulatory considerations and emerging trends that are shaping the future of green digital transformation.

Designed for researchers, students, industry professionals, policymakers and sustainability advocates, this book serves as a valuable resource for leveraging blockchain to achieve long-term environmental and economic sustainability goals.

Autoren/Hrsg.

Batta, Priya

Kumar, Abhishek

Ahuja, Sachin

Rathore, Pramod Singh

Inhaltsverzeichnis

Preface xi
Priya BATTA, Abhishek KUMAR, Sachin AHUJA and Pramod Singh RATHORE

Introduction xiii
Priya BATTA, Abhishek KUMAR, Sachin AHUJA and Pramod Singh RATHORE

Part 1. AI for Smart Energy Systems and Renewable Technologies 1

Chapter 1. Simulation-based Performance Assessment of a 100-kW Hybrid Solar–Wind Energy System in Coastal Karnataka 3
Mainuddin M. SHIRBADAGI, Iqbal AHAMMED and K. Fazlur RAHMAN

1.1. Introduction 3
1.2. MATLAB/Simulink simulation model results of a hybrid renewable energy system integrating wind and solar 10
1.3. Conclusion 12
1.4. References 13

Chapter 2. Design and Analysis of an Intelligent Battery Management System for EV using MATLAB and IOT Technologies 17
Mainuddin M. SHIRBADAGI, K. Fazlur RAHMAN, K.S. KHUDSIYA, Kewka Danish AHMED, Musadiq Fakirsab KHALIF and Shabuddin A. KHADAK

2.1. Introduction 17
2.2. MATLAB Simulink's model-based design 24
2.3. Results and description 32
2.4. Conclusion 33
2.5. References 34

Chapter 3. AI-based Voltage Optimization for Energy-Efficient Street Lighting in Smart Cities 37
K. MADHURA, Akhil Balachandra NAIK, M.H. SUMAN and Immanuel SELVAN

3.1. Introduction 37
3.2. Literature review 39
3.3. Methodology 39
3.4. Results 41
3.5. Conclusion 42
3.6. References 43

Chapter 4. Feasibility Study of Integrated Solar and Other Alternative Energy Sources for Hamlet Village Electrification 45
Anil KADLE, Shravankumar NAYAK and Balachandra JOGI

4.1. Introduction 45
4.2. Methodology of existing system 47
4.3. Village model 49
4.4. Rural grid and generation model 53
4.5. Simulation model 56
4.6. Results and discussions 58
4.7. Conclusion and future scope 60
4.8. References 61

Chapter 5. A Review on Pathway for Designing Higher Thermal Conductivity Al–Alloy 65
Shashidhar M. BANAVASI, Padmayya S. NAIK and Shreethen P. NAIK

5.1. Introduction 66
5.2. Material and methods 67
5.3. Microstructural evolution and modification 68
5.4. Heat treatment 70
5.5. Electron microscopy, X-ray diffraction and crystallography observation 71
5.6. Effect of alloying elements 74
5.7. Primary material processing techniques 75
5.8. Surface modification techniques 76
5.9. Theory of thermal conduction of metals 78
5.10. Conclusion 78
5.11. References 79

Part 2. AI for Environmental Sustainability and Climate Analytics. 83

Chapter 6. Computation of Evapotranspiration for Optimal Irrigation of Cucumber in Bhatkal Taluk using Blaney–Criddle Equation 85
Chidanand G. NAIK and N. VIDYADHAR

6.1. Introduction 85
6.2. Literature review 86
6.3. Materials and methods 87
6.4. Results and discussion 90
6.5. Conclusion 93
6.6. Acknowledgments 93
6.7. References 93

Chapter 7. Machine-Assisted Mathematical Modeling for Climate Variability and Environmental Forecasting 95
Swapnil SHUKLA, Gaurav TAMRAKAR, Manoj Kumar NIGAM and Sandeep ROY

7.1. Introduction 95
7.2. Related works 96
7.3. Materials and methods 97
7.4. Results and analysis 99
7.5. Conclusion 101
7.6. References 102

Chapter 8. Environmental Impact Assessment of Industrial Pollution in Al-Harfiyin District 105
Safaa M. ALMUDHAFAR, Rusul Z. ALMUDHAFAR, Zainab A. ALZURFI and B.A. ALMAYAHI

8.1. Introduction 105
8.2. Area overview 106
8.3. Methodology 108
8.4. Environmental hazards and health impacts 108
8.5. Waste management issues 109
8.6. Soil pollution and chemical analysis 109
8.7. Environmental assessment summary 110
8.8. Conclusion 113
8.9. References 114

Chapter 9. Computational Models for Green Supply Chain Optimization and Their Role in Sustainable Business Systems 117
Prabha Seetaram NAIK, Dipti PATNAYAK, Rajesh Kr. YADAV, Ajatashatru SAMAL, Manjula MALLYA and N. Subbu Krishna SASTRY

9.1. Introduction 117
9.2. Literature survey 118
9.3. Methods 120
9.4. Conclusion 122
9.5. References 123

Chapter 10. Sustainable Business Practices Enabled by AI-Driven Operational Efficiency Models 125
Ankita NIHLANI and Pankaj TIWARI

10.1. Introduction 125
10.2. Related works 126
10.3. Materials and methods 127
10.4. Results and analysis 128
10.5. Conclusion 130
10.6. References 131

Part 3. Graph Intelligence in Healthcare and Medical Analytics 133

Chapter 11. A Data-Driven Approach to Dyslexia Detection: Evaluating Random Forest and Logistic Regression Models with Questionnaire-Based Features 135
A.GOMATHY, S. VISMAYA, U. SARAN and M. SELVAMURUGAN

11.1. Introduction 136
11.2. Motivation 137
11.3. Proposed methodology 140
11.4. Experimental setup and results 145
11.5. Discussion. 148
11.6. Conclusion and future work 149
11.7. References 149

Chapter 12. Recent Advances in Genes Associated with Aging in Humans and Model Organisms: A Review of Relevant Databases 153
Muthuselvi GOPAL and Daniel Alex ANAND

12.1. Introduction 153
12.2. Literature review 154
12.3. Materials and methods 155
1 12.4. Results 155
12.5. Discussion and conclusion 158
12.6. References 160

Part 4. Graph Intelligence in Finance and Economics 163

Chapter 13. AI-Supported Recruitment and Talent Management: Evidence from IT Sector HR Professionals 165
Atinder KAUR and Tilottama SINGH

13.1. Introduction 165
13.2. Literature survey 167
13.3. Objectives 168
13.4. Methods and material 168
13.5. Validity and reliability 169
13.6. Conclusion 171
13.7. References 172

Chapter 14. Synergistic Effects of Digital HR, Martech and FinTech Integration on Organizational Innovation and Performance 173
D. JOGISH, Ningambika G. METI, S. MANJUNATHA, R. UMESH, S. UDAYA and M. NAYANA

14.1. Introduction 173
14.2. Literature survey 175
14.3. Study objectives 178
14.4. Conclusion 181
14.5. References 182

List of Authors 185
Index 191

Über Autor(innen)

Priya Batta is an Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. Her expertise includes AI, blockchain and IoT.

Abhishek Kumar is a Professor at Chandigarh University, Mohali, India. His expertise includes AI, renewable energy and image processing.

Sachin Ahuja is an Executive Director of Engineering and a Professor at Chandigarh University, Mohali, India. His expertise includes AI, machine learning and data mining.

Pramod Singh Rathore is an Assistant Professor at Manipal University, Jaipur, India. His expertise includes NS2, networks, data mining and DBMS.