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Aligning the Energy Transition with the Sustainable Development Goals
This open access book brings together concrete analyses from around the world, spanning various scales, that shed light on strategies for implementing essential energy and climate transitions within the broader context of UN Sustainable Development Goal (SDG) imperatives. Specifically, the book exemplifies the advancement, adaptation, and utilization of energy systems models to address intricate policy issues around pathways to achieve net-zero emissions, enhance energy security, optimize investments, and understand their societal implications. It explores the intricate connections between the SDGs concerning energy, climate action, and other developmental priorities such as employment and economic growth, industrial innovation, urban development, responsible consumption and production, and collaborative partnerships. Organized into four sections, the book illustrates the necessary adjustments of energy system models to guide SDGs, evaluates the role of modeling to advance both renewable energy and energy security, and showcases how energy systems are harnessed to engage with international, national, and local policymakers.
Limiting Global Warming to Well Below 2 °C: Energy System Modelling and Policy Development
This book presents the energy system roadmaps necessary to limit global temperature increase to below 2°C, in order to avoid the catastrophic impacts of climate change. It provides a unique perspective on and critical understanding of the feasibility of a well-below-2°C world by exploring energy system pathways, technology innovations, behaviour change and the macro-economic impacts of achieving carbon neutrality by mid-century. The transformative changes in the energy transition are explored using energy systems models and scenario analyses that are applied to various cities, countries and at a global scale to offer scientific evidence to underpin complex policy decisions relating to clim...
Informing Energy and Climate Policies Using Energy Systems Models
This book highlights how energy-system models are used to underpin and support energy and climate mitigation policy decisions at national, multi-country and global levels. It brings together, for the first time in one volume, a range of methodological approaches and case studies of good modeling practice on a national and international scale from the IEA-ETSAP energy technology initiative. It provides insights for the reader into the rich and varied applications of energy-system models and the underlying methodologies and policy questions they can address. The book demonstrates how these models are used to answer complex policy questions, including those relating to energy security, climate ...
Renewable Energy
Renewable Energy - Market and Policy Trends in IEA Countries reviews the experience of IEA countries after the oil crisis in the 1970s initiated a surge of investments in renewables research and development. While use of renewables has grown rapidly, they still account for only a small portion of the IEA energy mix. Hydropower, bioenergy and geothermal energy are mature technologies that contribute about 5 - 6% to primary energy supply. Solar, wind, and other new renewables have experienced rapid technology development, but as yet they represent only a small share.This work examines policies and measures that have been introduced in IEA countries to increase the cost effective deployment of renewables, reviews the objectives behind these policies, and evaluates the results. The aim is to identify best practices in order to assist governments in making future policy decisions.
Reliability Management and Engineering
Reliability technology plays an important role in the present era of industrial growth, optimal efficiency, and reducing hazards. This book provides insights into current advances and developments in reliability engineering, and the research presented is spread across all branches. It discusses interdisciplinary solutions to complex problems using different approaches to save money, time, and manpower. It presents methodologies of coping with uncertainty in reliability optimization through the usage of various techniques such as soft computing, fuzzy optimization, uncertainty, and maintenance scheduling. Case studies and real-world examples are presented along with applications that can be used in practice. This book will be useful to researchers, academicians, and practitioners working in the area of reliability and systems assurance engineering. Provides current advances and developments across different branches of engineering. Reviews and analyses case studies and real-world examples. Presents applications to be used in practice. Includes numerous examples to illustrate theoretical results.
The Chernobyl Effect
The 1986 Chernobyl catastrophe was not only a human and ecological disaster, but also a political-ideological one, severely discrediting Soviet governance and galvanizing dissidents in the Eastern Bloc. In the case of Poland, what began as isolated protests against the Soviet nuclear site grew to encompass domestic nuclear projects in general, and in the process spread across the country and attracted new segments of society. This innovative study, combining scholarly analysis with oral histories and other accounts from participants, traces the growth and development of the Polish anti-nuclear movement, showing how it exemplified the broader generational and cultural changes in the nation’s opposition movements during the waning days of the state socialist era.
Internet of Energy for Smart Cities
Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It provides in-depth knowledge to build the technical understanding for the reader to pursue various research problems in this field. Moreover, the example problems in smart cities and their solutions using machine learning are provided as relatable to the real-life scenarios. Aimed ...
The Engineering Index Annual
Since its creation in 1884, Engineering Index has covered virtually every major engineering innovation from around the world. It serves as the historical record of virtually every major engineering innovation of the 20th century. Recent content is a vital resource for current awareness, new production information, technological forecasting and competitive intelligence. The world?s most comprehensive interdisciplinary engineering database, Engineering Index contains over 10.7 million records. Each year, over 500,000 new abstracts are added from over 5,000 scholarly journals, trade magazines, and conference proceedings. Coverage spans over 175 engineering disciplines from over 80 countries. Updated weekly.
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