Internet of Things and Big Data Analytics for a Green Environment
Internet of Things and Big Data Analytics for a Green Environment

Author: Yousef Farhaoui

Publisher: CRC Press

Published: 2024-11-27

Total Pages: 358

ISBN-13: 1040224733

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This book studies the evolution of sustainable green smart cities and demonstrates solutions for green environmental issues using modern industrial IoT solutions. It is a ready reference with guidelines and a conceptual framework for context-aware product development and research in the IoT paradigm and Big Data Analytics for a Green Environment. It brings together the most recent advances in IoT and Big Data in Green Environments, emerging aspects of the IoT and Big Data for Green Cities, explores key technologies, and develops new applications in this research field. Key Features: • Discusses the framework for development and research in the IoT Paradigm and Big Data Analytics. • Highlights threats to the IoT architecture and Big Data Analytics for a Green Environment. • Present the I-IoT architecture, I-IoT applications, and their characteristics for a Green Environment. • Provides a systematic overview of the state-of-the-art research efforts. • Introduces necessary components and knowledge to become a vital part of the IoT revolution for a Green Environment. This book is for professionals and researchers interested in the emerging technology of sustainable development, green cities, and Green Environment.

The Global Impact of Renewable Energy and Data Analytics
The Global Impact of Renewable Energy and Data Analytics

Author: Kingsley Onyeagusi

Publisher: GRIN Verlag

Published: 2024-01-08

Total Pages: 19

ISBN-13: 3346990435

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Academic Paper from the year 2023 in the subject Politics - Environmental Policy, , language: English, abstract: This article explores the critical role of renewable energy and intelligence systems in developing countries seeking to expand energy access and for developed nations working to decarbonise energy systems. The opportunities, challenges, and impacts of the renewable's revolution vary between poor nations with limited existing infrastructure and rich countries possessing advanced technical capabilities. However, data-driven solutions are invaluable in maximising clean energy potential everywhere while managing variability. By comparing and contrasting the nuances of integrating high shares of solar, wind, and other renewables onto grids in Asia, Africa, the Americas, and Europe, insights and best practices can be shared across borders. Artificial intelligence and machine learning are unlocking the promise of renewable energy worldwide through sophisticated forecasting of supply and demand, optimal location of projects, predictive maintenance of assets, and real-time management of complex systems. However, technology gaps and a lack of technical expertise hamper many developing nations. Targeted financing, capacity building, and knowledge transfer are critical to empowering these regions to benefit from data and renewables in providing affordable, reliable, and sustainable energy access. This article highlights significant trends, analyses case studies of success, and synthesises expert perspectives across the developed and developing world. By documenting the global impacts of renewables and analytics, stakeholders ranging from policymakers to investors can make informed decisions that steer all nations towards a decarbonised energy future that leaves no one behind. The insights can help guide an inclusive and just transition worldwide.

Data Science Applied to Sustainability Analysis
Data Science Applied to Sustainability Analysis

Author: Jennifer Dunn

Publisher: Elsevier

Published: 2021-05-11

Total Pages: 312

ISBN-13: 0128179775

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Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. - Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery - Includes considerations sustainability analysts must evaluate when applying big data - Features case studies illustrating the application of data science in sustainability analyses

Renewable Energy Sources and Climate Change Mitigation
Renewable Energy Sources and Climate Change Mitigation

Author: Ottmar Edenhofer

Publisher: Cambridge University Press

Published: 2011-11-21

Total Pages: 1088

ISBN-13: 9781107607101

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This Intergovernmental Panel on Climate Change Special Report (IPCC-SRREN) assesses the potential role of renewable energy in the mitigation of climate change. It covers the six most important renewable energy sources - bioenergy, solar, geothermal, hydropower, ocean and wind energy - as well as their integration into present and future energy systems. It considers the environmental and social consequences associated with the deployment of these technologies, and presents strategies to overcome technical as well as non-technical obstacles to their application and diffusion. SRREN brings a broad spectrum of technology-specific experts together with scientists studying energy systems as a whole. Prepared following strict IPCC procedures, it presents an impartial assessment of the current state of knowledge: it is policy relevant but not policy prescriptive. SRREN is an invaluable assessment of the potential role of renewable energy for the mitigation of climate change for policymakers, the private sector, and academic researchers.

Global Renewables Outlook: Energy Transformation 2050
Global Renewables Outlook: Energy Transformation 2050

Author: International Renewable Energy Agency IRENA

Publisher: International Renewable Energy Agency (IRENA)

Published: 2020-04-01

Total Pages: 344

ISBN-13: 9292602500

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This outlook highlights climate-safe investment options until 2050, policies for transition and specific regional challenges. It also explores options to eventually cut emissions to zero.

Biofuels
Biofuels

Author: Dwight Tomes

Publisher: Springer Science & Business Media

Published: 2010-11-16

Total Pages: 361

ISBN-13: 1441971459

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This comprehensive volume developed under the guidance of guest editors Prakash Lakshmanan and David Songstad features broad coverage of the topic of biofuels and its significance to the economy and to agriculture. These chapters were first published by In Vitro Cellular and Developmental Biology In Vitro Plant in 2009 and consists of 15 chapters from experts who are recognized both for their scientific accomplishments and global perspective in their assigned topics.

Variable Renewable Energy and the Electricity Grid
Variable Renewable Energy and the Electricity Grid

Author: Jay Apt

Publisher: Routledge

Published: 2014-06-13

Total Pages: 361

ISBN-13: 1317907671

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The integration of renewable energy resources into the electricity grid presents an important challenge. This book provides a review and analysis of the technical and policy options available for managing variable energy resources such as wind and solar power. As well as being of value to government and industry policy-makers and planners, the volume also provides a single source for scientists and engineers of the technical knowledge gained during the 4-year RenewElec (renewable electricity) project at Carnegie Mellon University, the University of Vermont, Vermont Law School, and the Van Ness Feldman environmental law firm. The first part of the book discusses the options for large scale integration of variable electric power generation, including issues of predictability, variability, and efficiency. The second part presents the scientific findings of the project. In the final part, the authors undertake a critical review of major quantitative regional and national wind integration studies in the United States. Based on comparisons among these studies, they suggest areas where improvements in methods are warranted in future studies, areas where additional research is needed to facilitate future improvements in wind integration studies and how the research can be put into practice.

Contemporary Issues in Communication, Cloud and Big Data Analytics
Contemporary Issues in Communication, Cloud and Big Data Analytics

Author: Hiren Kumar Deva Sarma

Publisher: Springer Nature

Published: 2021-11-30

Total Pages: 466

ISBN-13: 9811642443

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This book presents the outcomes of the First International Conference on Communication, Cloud, and Big Data (CCB) held on December 18–19, 2020, at Sikkim Manipal Institute of Technology, Majitar, Sikkim, India. This book contains research papers and articles in the latest topics related to the fields like communication networks, cloud computing, big data analytics, and on various computing techniques. Research papers addressing security issues in above-mentioned areas are also included in the book. The research papers and articles discuss latest issues in the above-mentioned topics. The book is very much helpful and useful for the researchers, engineers, practitioners, research students, and interested readers.