The Global Impact Of Renewable Energy And Data Analytics

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The Global Impact Of Renewable Energy And Data Analytics

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Author : Kingsley Onyeagusi
language : en
Publisher: GRIN Verlag
Release Date : 2024-01-08

The Global Impact Of Renewable Energy And Data Analytics written by Kingsley Onyeagusi and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-08 with Science categories.

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.

Internet Of Things And Big Data Analytics For A Green Environment

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Author : Yousef Farhaoui
language : en
Publisher: CRC Press
Release Date : 2024-11-27

Internet Of Things And Big Data Analytics For A Green Environment written by Yousef Farhaoui and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Computers categories.

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.

Unleashing The Potential Of Renewable Energy In India

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Author : Mikul Bhatia
language : en
Publisher: World Bank Publications
Release Date : 2011-06-13

Unleashing The Potential Of Renewable Energy In India written by Mikul Bhatia and has been published by World Bank Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-13 with Business & Economics categories.

India has 150GW of renewable energy potential, about half in the form of small hydropower, biomass, and wind and half in solar, cogeneration, and waste-to-energy. Developing renewable energy can help India increase its energy security, reduce the adverse impacts on the local environment, lower its carbon intensity, contribute to more balanced regional development, and realize its aspirations for leadership in high-technology industries. This study aims to answers critical questions on why renewable energy development is relevant in Indian context, on how much development is economically feasible, and on what needs to be done to realize the potential. The Report is based on data from nearly 180 wind, biomass, and small hydropower projects in 20 states, as well as information from the Ministry of New and Renewable Energy (MNRE) and the Central Electricity Regulatory Commission (CERC). The Report suggests that about 3GW of renewable energy – all from small hydropower is conomically feasible, when the avoided cost of coal-based generation of Rs 3.08/kWh is considered. About 59GW of renewable energy in wind, biomass, and small hydropower is available at less than Rs 5/kWh. The entire cumulative capacity of 68GW in these three technologies can be harnessed at less than Rs 6/kWh. About 62GW—90 percent of cumulative renewable capacity in wind, biomass, and small hydropower—is economically feasible when the environmental premiums on coal are brought into consideration. Realizing the need to bridge this gap, the government has set an ambitious target of installing at least 40GW of additional capacity of renewables in the next 10 years. India has made tremendous strides in establishing overarching policy framework and institutions to bring renewable in the mainstream of energy mix, but significant financial, infrastructure and regulatory barriers to renewable energy development remain which the report sheds light on and suggests possible solutions.

Optimization In Sustainable Energy

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Author : Prasenjit Chatterjee
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-05

Optimization In Sustainable Energy written by Prasenjit Chatterjee and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-05 with Computers categories.

This state-of-the-art book offers cutting-edge optimization techniques and practical decision-making frameworks essential for enhancing the efficiency and reliability of sustainable energy systems, making it an invaluable resource for researchers, policymakers, and energy professionals. Optimization in Sustainable Energy: Methods and Applications brings together valuable knowledge, methods, and practical examples to help scholars, researchers, professionals, and policymakers address the growing challenges of optimizing sustainable energy. This volume covers a range of topics, including mathematical models, heuristic algorithms, renewable resource management, and energy storage optimization. Each chapter explores a different aspect of sustainable energy, providing both theoretical understanding and practical guidance. The volume explores challenges and opportunities surrounding the integration of multi-criteria decision-making techniques in energy planning, highlighting insights on environmental, economic, and social factors influencing the strategic allocation of resources. The use of evolutionary algorithms, machine learning, and metaheuristics to optimize energy storage, distribution, and optimization are also discussed. The transition towards sustainable energy is at the forefront of global priorities, driven by the urgent need to mitigate climate change, reduce carbon emissions, and enhance energy security. As countries and industries increasingly prioritize renewable sources like wind, solar, and hydroelectric power, the complexity of optimizing these systems becomes a critical challenge. Optimization in Sustainable Energy: Methods and Applications, is a comprehensive exploration of cutting-edge methodologies used to enhance the efficiency, reliability, and performance of sustainable energy systems. Audience Research scholars, academics, students, policymakers, and industry experts in mechanical engineering, electrical engineering, and energy science.

Proceedings Of International Conference On Data Analytics And Insights

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Author : Nabendu Chaki
language : en
Publisher: Springer Nature
Release Date : 2025-08-15

Proceedings Of International Conference On Data Analytics And Insights written by Nabendu Chaki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-15 with Technology & Engineering categories.

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2024), organized by Techno International, Kolkata, India, during July 25–27, 2024. The two volumes of the book cover important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.

Sustainametrics Envisioning A Sustainable Future With Data Science

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Author : Shutaro Takeda
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-08

Sustainametrics Envisioning A Sustainable Future With Data Science written by Shutaro Takeda and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-08 with Science categories.

Contemporary Issues In Communication Cloud And Big Data Analytics

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Author : Hiren Kumar Deva Sarma
language : en
Publisher: Springer Nature
Release Date : 2021-11-30

Contemporary Issues In Communication Cloud And Big Data Analytics written by Hiren Kumar Deva Sarma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-30 with Technology & Engineering categories.

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.

Data Science Of Renewable Energy Integration

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Author : Yuichi Ikeda
language : en
Publisher: Springer Nature
Release Date : 2024-02-20

Data Science Of Renewable Energy Integration written by Yuichi Ikeda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-20 with Business & Economics categories.

This book covers various data scientific approaches to analyze the issue of grid integration of renewable energy for which the grid flexibility is the key to cope with its intermittency. It provides readers with the scope to view renewable energy integration as establishing a distributed energy network instead of the traditional centralized energy system. Specifically, quantitative valuation system-wise of the levelized cost of energy, which includes both initial cost and various operational costs, enables readers to optimize energy systems in order to minimize economic cost and environmental impact. It is noted, however, that the high cost of integrating renewable energy on a large scale might slow economic growth considerably. Topics addressed in the book also include statistical comparative study of the relationship between energy and economic growth, a graphical model of determinant factors for foreign direct investment in renewable energy, the coupled oscillator model and unitcommitment model to capture intermittency of renewable energy, and the network model of evolving micro-grids. The book explains desired innovation to reduce the integration cost significantly using innovative technologies such as energy storage with hydrogen production and vehicle-to-grid technology. Illustrated by careful analysis of selected examples of renewable integration using different types of grid flexibility, this volume is indispensable to readers who make policy recommendations to establish the distributed energy network integrated with large-scale renewable energy by disentangling the nexus of energy, environment, and economic growth.

Open Data And Energy Analytics

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Author : Benedetto Nastasi
language : en
Publisher: MDPI
Release Date : 2020-06-25

Open Data And Energy Analytics written by Benedetto Nastasi and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-25 with Science categories.

Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and planners must provide the simplest and most robust tools to collect, process, and analyze data in order to offer solid data-based evidence for future projections in building, district, and regional systems planning. This Special Issue aims at providing the state-of-the-art on open-energy data analytics; its availability in the different contexts, i.e., country peculiarities; and its availability at different scales, i.e., building, district, and regional for data-aware planning and policy-making. For all the aforementioned reasons, we encourage researchers to share their original works on the field of open data and energy analytics. Topics of primary interest include but are not limited to the following: 1. Open data and energy sustainability; 2. Open data science and energy planning; 3. Open science and open governance for sustainable development goals; 4. Key performance indicators of data-aware energy modelling, planning, and policy; 5. Energy, water, and sustainability database for building, district, and regional systems; 6. Best practices and case studies.

Big Data Artificial Intelligence And Data Analytics In Climate Change Research

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Author : Gaurav Tripathi
language : en
Publisher: Springer Nature
Release Date : 2024-05-19

Big Data Artificial Intelligence And Data Analytics In Climate Change Research written by Gaurav Tripathi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-19 with Science categories.

This book explores the potential of big data, artificial intelligence (AI), and data analytics to address climate change and achieve the Sustainable Development Goals (SDGs). Furthermore, the book covers a wide range of related topics, including climate change data sources, big data analytics techniques, remote sensing, renewable energy, open data, public–private partnerships, ethical and legal issues, and case studies of successful applications. The book also discusses the challenges and opportunities presented by these technologies and provides insights into future research directions. In order to address climate change and achieve the SDGs, it is crucial to understand the complex interplay between climate and environmental factors. The use of big data, AI, and data analytics can play a vital role in this effort by providing the means to collect, process, and analyze vast amounts of environmental data. This book is an essential resource for researchers, policymakers, and practitioners interested in leveraging these technologies to tackle the pressing challenge of climate change and achieve the SDGs.