Sustainability principles and applications in engineering practice / Raj Gaurang Tiwari [and 4 others], editors.

Format:

Book

Contributor:

Tiwari, Raj Gaurang, editor.

Series:

Engineering and sustainable development.

Engineering and sustainable development

Language:

English

Subjects (All):

Sustainable engineering.

Sustainable development.

Physical Description:

1 online resource (500 pages) : illustrations.

Edition:

First edition.

Place of Publication:

New York : Nova Science Publishers, [2024]

Summary:

"Adopting a sustainable approach is more important than ever in the dynamic field of engineering. To help engineers navigate the complexity of sustainable design and execution, this book provides a roadmap and a handbook, and it is a breakthrough investigation. Written by an experienced professional working at the crossroads of sustainability and engineering, this book goes beyond the norm to provide a thorough manual that mixes theory with real-world examples. Exploring the core concepts of sustainability, readers will grasp its significance about contemporary engineering problems. This book equips engineers with the knowledge they need to implement sustainable practices, offering practical insights into reducing environmental impact, increasing resource efficiency, and improving society via the use of enlightening case studies and real-world examples. Each chapter reveals new methods and techniques, from renewable energy to waste reduction, giving engineers the information, they need to change the course of engineering in the future. "Sustainability Principles and Applications in Engineering Practice" takes readers on a life-changing adventure into a world where environmentally friendly methods are standard, not optional, in the pursuit of engineering greatness. The world will be a better, more robust, and more peaceful place if we accept the ideas, put the knowledge to use, and set off on a journey of sustainable engineering"-- Provided by publisher.

Contents:

Intro

Contents

Preface

Acknowledgements

Introduction

Chapter 1

Environmental Impacts of Industrial Processes in Industry 4.0 Ecosystem and Sustainability: An Artificial Intelligence Approach

Abstract

1. Introduction

2. Industrial Revolutions

3. Industry 4.0 and Its Prerequisite

3.1. Benefits of Industry 4.0

4. Industry 4.0 and Its Technologies

5. What Technologies Are Driving Industry 4.0?

5.1. Internet of Things (IoT)

5.2. Cloud Computing

5.3. AI and Machine Learning

5.4. Edge Computing

5.5. Cyber Security

5.6. Digital Twin

6. Edge Computing as Key to Realizing Industry 4.0

7. Digital Twin Applications

8. CPS: The Heart of Industry 4.0

9. Environment Sustainability

9.1. Environmental Sustainability and Industry 4.0

10. Industry 4.0 for Long-Term Sustainability

10.1. Degree of Digitization

10.2. Reasons for the Observed Degree of Digitization

10.2.1. Technological Options Are Unknown

10.2.2. Financial Assets Are Considered a Restraining Factor

10.2.3. Workforce Lacks Necessary Skills

10.2.4. Industry 4.0 Is Not Focused on Developing and Emerging Countries

10.2.5. Legal Challenges Receive Little Attention

11. Impacts of Digitalization on the Environment

12. Sustainability Standards vs. Real Behaviour

13. Industry 4.0: "Think Value, Not Tech"

14. Industry 4.0 Technologies Are Transfiguring Manufacturing

15. Location-Based Industry 4.0 Roadmap

16. Features of the Smart Factory

16.1. Analysing Data for Better Decision Making

16.2. IT-OT Incorporation

16.3. Custom Manufacturing

16.4. Supply Chain

17. Industry 4.0 and AI: A Valuable Pairing

18. Hypotheses Development

18.1. Cleaner Production, Product Introduction, and Environmental Sustainability.

18.2. Environmental Management Systems, Product Innovation and Environmental Sustainability

18.3. Sustainable Environmental Practices and Product Innovation

18.4. Moderating Effect of Industry 4.0

19. Industry 4.0 Technologies: Are They All Important for Environmental Protection?

20. Circular Economy Practices and Environmental Performance

21. Artificial Intelligence and Industry 4.0

21.1. Impact of Industrial AI on Manufacturing

21.1.1. Predictive Quality and Yield

21.1.2. Predictive Maintenance

21.1.3. Human-Robotic Association

21.1.4. Generative Layout

21.1.5. Market Adaptation/Supply Chain

21.2. Applications of Deep Learning in Industry 4.0

22. Digitizing the Energy Industry for Sustainability through Green-IoT

23. How Does the IoT Help Build Digital Twins?

24. Can We Build a Digital Twin of Earth?

25. AIaaS for Modification Supervision in Industry 4.0 Manufacturing

25.1. 4IR Challenges Manufacturers Face

25.2. IIoT Technology Turns Data into Value-Solving Manufacturing Challenges

25.3. Human-Machine AIaaS Update Loop

26. Automated ML to Automate Process Industry

27. How Does Modern Technology Make Manufacturing More Sustainable?

27.1. AI and Automation

27.2. Solar Tech

27.3. 3D Printing

28. Quality Improvement Using Industry 4.0

28.1. Connecting the Lab to the Floor

28.1.1. Advanced Sensors and Full Connectivity

28.1.2. Views from Factual Globe

28.2. Sustainable Automation

28.2.1. Automation in Environmental

28.2.2. Automation in Social

28.2.3. Automation in Governance

29. Some Examples of Potential Industrial Applications for ML

30. Industry 4.0 is Essential for India's Green Revolution

31. Future Issues of Digital Twin Research in Smart Urban Transport

32. Use Cases of IIoT Accomplishment.

32.1. Stuck Pilot Purgatory Usage Scenario

33. How Is AI-Powered Automation Distinct from Legacy Automation?

34. Challenges and Obstacles in Implementing Industry 4.0 in India

34.1. India Faces a Variety of Challenges in Adoption

34.1.1. Remote Worker Cooperation

34.1.2. Online Performance Monitoring

34.1.3. Process Optimization That Occurs in Real-Time

34.1.4. Asset Optimization Powered by IIoT

34.1.5. Supply Chain Integration throughout the Value Chain

35. Key Traits through Industry 4.0 to Create a Sustainable Environment

35.1. Smart Production Adopting Industry 4.0 Technology

35.2. For the Water Industry, Industry 4.0

35.3. Industry 4.0 to Reduce Energy Consumption

35.4. Information Transparency Thanks to Industry 4.0

35.5. Industry 4.0 to Enhance Air Quality

35.6. Industry 4.0 for Operational Control

35.7. Connecting Inventory Chains Using Industry 4.0

36. Key Applications of Industry 4.0 for Sustainable Environmental Development

36.1. Sustainable Agile Factory

36.2. Reducing Carbon Emissions and Controlling Pollution

36.3. Sustainable Buildings

36.4. Positive Environmental Impact of Digital Information

36.5. Enhancing the Environmental Innovation

36.6. Environment-Friendly Skill and Flexible Automation Development

36.7. Responding to Climate Change

36.8. Minimise Wastage

36.9. Reduce the Weight of Automobile Parts to Improve Fuel Efficiency

36.10. Electronic Device Control

36.11. Recycling of Waste Materials

37. Pollution Prevention and Environmental Management System

Conclusion

Future Possibility

References

Chapter 2

Smart System for Wastewater Treatment (SSWWT): Internet of Things (IoT)-Based Intelligent Framework for Society

2. Literature Survey

2.1. Research Gap

3. Materials and Methods.

3.1. Removal of Emerging Contaminants

3.2. Energy Efficiency

3.3. Sustainable Treatment Methods

4. Results and Discussion

Chapter 3

Sustainable Agriculture Boost: Neem Coated Urea - Nurturing Crops, Preserving Soil, and Reducing Environmental Impact

2. Concept of Slow/Controlled Release Fertilizers

3. NCU/NOCU Production

4. Uptake and Release of Nitrogen in Plants due to NCU

5. Field Experiments

5.1. Field Experiment II: Real-Time Application of Neem-Coated Urea

6. Best Sowing Methods for NCU

7. National Impact on Yield on Usage of NCU and Socioeconomic Factors

8. National Opinions and Involvement of Farmers in NCU

Chapter 4

IoT-Based Monitoring of Solar Power Generation and Analysis Using Machine Learning

1.1. Solar Energy

1.2. Wind Energy

1.3. Geothermal Energy

1.4. Hydropower

1.5. Tidal Energy

1.6. Bioenergy

2. Internet of Things (IoT)

2.1. Technologies Used in IoT

2.2. IoT Data Collection and Computing

2.3. IoT Technology Used for Solar Power Monitoring

3. Machine Learning and Deep Learning

3.1. Linear Regression

3.2. Gaussian Process Regression

3.3. Support Vector Regression

3.4. Elastic Net Regression

3.5. Convolutional Neural Networks (CNN)

3.6. Recurrent Neural Networks (RNN)

4. Implementation

4.1. IoT Security Using Machine and Deep Learning

4.2. Data Privacy

4.3. Vulnerability in IoT

Future Scope of Work

Chapter 5

Hydroponic Farming for Sustainable Agricultural Practices in Urban Environments

2. Organizing Plant Health and Productivity

2.1. Plant Selection

2.2. Nutrient Management

2.3. Environmental Control.

2.4. Pest and Disease Management

3. Economic and Social Aspects of Hydroponics Farming

4. Future Directions and Challenges

Chapter 6

E-Waste Management and Sustainability in Asian Countries: A Systematic Study

3. Objective of Sustainability

3.1. Conserve Energy

3.2. Saving Energy

3.3. Green Networking

4. Objective of Sustainability

4.1. Electronic Waste

4.2. Constituents Present in E-Waste Materials

4.3. E-Waste Production in Several Asian Locations

5. Implementation and Management of E-Waste

6. Impacts of Green Communication

6.1. Impacts on the Environment

6.2. Mobiles Devices

7. Carbon Footprint

8. Result

8.1. Systematic Study of E-Waste Management in Asia Pacific Regions

8.1.1. Western Asia

8.1.2. Central Asia

8.1.3. Eastern Asia

8.2. E-Waste Management in Top 5 Asia Pacific Country

8.2.1. Australia

8.2.2. China

8.2.3. India

8.3. Recycling Method of E-Waste

8.4. New Technologies Adopted to Treat E-Waste

8.5. Energy Harvesting Techniques

8.5.1. Mechanical Energy Harvesting

8.5.2. Thermal Energy Harvesting

8.5.3. Wireless Energy Harvesting

8.5.4. Acoustic and Hybrid Energy Harvesting

8.6. Sleep Modes

9. Application in the Field of Engineering

9.1. Sustainability in Engineering

9.2. E-Waste Management in Engineering

9.2.1. IoT Industry

9.2.2. Renewable Energy Engineers

9.2.3. Multifunctional Materials

9.2.4. Ceramic Composites

Chapter 7

Green Cloud Computing: Promoting Environmental Sustainability in the Cloud Age

2. Literature Review

2.1. Cloud Computing and Green Cloud Computing?

2.2. Environmental Impact of Cloud Computing

2.3. Need for Green Cloud Computing.

2.4. Features of Green Cloud Computing.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Other Format:

Print version: Tiwari, Raj Gaurang Sustainability Principles and Applications in Engineering Practice

ISBN:

9798891137639