Collaborative Modeling and Decision-Making for Complex Energy Systems


Book Description

This volume provides the fundamentals of involving stakeholders in collaborative modeling of energy systems, including the technical subsystem as well as its economic, social, environmental and political subsystems. It presents a Stakeholder-Assisted Modeling and Policy Design (SAM-PD) framework that can be applied by energy system developers, managers and decisionmakers to involve a wide range of stakeholders in group model-building on a larger scale. By illustrating the capabilities of the SAM-PD framework, the book introduces an actual case study of the Cape Wind Offshore Wind Energy project. This case study details the process by which the author brought together a large number of stakeholders to jointly model the Cape Wind energy system and its broader implications for the regional energy picture and the regional economy and environment. It also offers the most recent in-depth analysis of the Cape Wind project.




Collaborative Modeling and Decision-Making for Complex Energy Systems


Book Description

This volume provides the fundamentals of involving stakeholders in collaborative modeling of energy systems, including the technical subsystem as well as its economic, social, environmental and political subsystems. It presents a Stakeholder-Assisted Modeling and Policy Design (SAM-PD) framework that can be applied by energy system developers, managers and decision-makers to involve a wide range of stakeholders in group model-building on a larger scale. By illustrating the capabilities of the SAM-PD framework, the book introduces an actual case study of the Cape Wind Offshore Wind Energy project. This case study details the process by which the author brought together a large number of stakeholders to jointly model the Cape Wind energy system and its broader implications for the regional energy picture and the regional economy and environment. It also offers the most recent in-depth analysis of the Cape Wind project.




Energy Management—Collective and Computational Intelligence with Theory and Applications


Book Description

This book presents a selection of recently developed collective and computational intelligence techniques, which it subsequently applies to energy management problems ranging from performance analysis to economic analysis, and from strategic analysis to operational analysis, with didactic numerical examples. As a form of intelligence emerging from the collaboration and competition of individuals, collective and computational intelligence addresses new methodological, theoretical, and practical aspects of complex energy management problems. The book offers an excellent reference guide for practitioners, researchers, lecturers and postgraduate students pursuing research on intelligence in energy management. The contributing authors are recognized researchers in the energy research field.




Data Analytics for Renewable Energy Integration


Book Description

This book constitutes revised selected papers from the third ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal, in September 2015. The 10 papers presented in this volume were carefully reviewed and selected for inclusion in this book.




Method of process systems in energy systems: Current system part I


Book Description

Method of Process Systems in Energy Systems: Current System Part 1, Volume Eight, the latest release in the Methods in Chemical Process Safety series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Methods in Chemical Process Safety series - Includes the authority and expertise of leading contributors from an international board of authors




Limiting Global Warming to Well Below 2 °C: Energy System Modelling and Policy Development


Book Description

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 climate change mitigation and interrelated issues like energy security and the energy–water nexus. It includes several chapters directly related to the Nationally Determined Contributions proposed in the context of the recent Paris Agreement on Climate Change. In summary, the book collates a range of concrete analyses at different scales from around the globe, revisiting the roles of countries, cities and local communities in pathways to significantly reduce greenhouse gas emissions and make a well-below-2°C world a reality. A valuable source of information for energy modellers in both the industry and public sectors, it provides a critical understanding of both the feasibility of roadmaps to achieve a well-below-2°C world, and the diversity and wide applications of energy systems models. Encompassing behaviour changes; technology innovations; macro-economic impacts; and other environmental challenges, such as water, it is also of interest to energy economists and engineers, as well as economic modellers working in the field of climate change mitigation.




Reshaping Environmental Science Through Machine Learning and IoT


Book Description

In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing these issues have yet to be proven sufficient. Academic scholars are compelled to seek innovative solutions that marry digital intelligence and natural ecosystems. Reshaping Environmental Science Through Machine Learning and IoT serves as a comprehensive exploration into the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) to address critical environmental challenges. The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI).




Complex Systems and Social Practices in Energy Transitions


Book Description

This book offers an interdisciplinary discussion of the fundamental issues concerning policies for sustainable transition to renewable energies from the perspectives of sociologists, physicists, engineers, economists, anthropologists, biologists, ecologists and policy analysts. Adopting a combined approach, these are analysed taking both complex systems and social practice theories into consideration to provide deeper insights into the evolution of energy systems. The book then draws a series of important conclusions and makes recommendations for the research community and policy makers involved in the design and implementation of policies for sustainable energy transitions.




Climate Impacts on Energy Systems


Book Description

"While the energy sector is a primary target of efforts to arrest and reverse the growth of greenhouse gas emissions and lower the carbon footprint of development, it is also expected to be increasingly affected by unavoidable climate consequences from the damage already induced in the biosphere. Energy services and resources, as well as seasonal demand, will be increasingly affected by changing trends, increasing variability, greater extremes and large inter-annual variations in climate parameters in some regions. All evidence suggests that adaptation is not an optional add-on but an essential reckoning on par with other business risks. Existing energy infrastructure, new infrastructure and future planning need to consider emerging climate conditions and impacts on design, construction, operation, and maintenance. Integrated risk-based planning processes will be critical to address the climate change impacts and harmonize actions within and across sectors. Also, awareness, knowledge, and capacity impede mainstreaming of climate adaptation into the energy sector. However, the formal knowledge base is still nascent?information needs are complex and to a certain extent regionally and sector specific. This report provides an up-to-date compendium of what is known about weather variability and projected climate trends and their impacts on energy service provision and demand. It discusses emerging practices and tools for managing these impacts and integrating climate considerations into planning processes and operational practices in an environment of uncertainty. It focuses on energy sector adaptation, rather than mitigation which is not discussed in this report. This report draws largely on available scientific and peer-reviewed literature in the public domain and takes the perspective of the developing world to the extent possible."




Sustainable Bioenergy Production - An Integrated Approach


Book Description

This book focuses primarily on the advantages and implications of sustainable bioenergy production in terms of ensuring a more sustainable world despite its growing energy demands. It addresses a new concept that focuses on the interactions between different uses of agricultural land (for example, agriculture for food, forage or energy and nature conservation) and their ecological, economic and societal impacts. This research concept provides new insights into the competition for resources and the synergies between different land uses. This book seeks to improve people’s understanding of bioenergy’s potentials for the future. It will be of interest not only to those involved in sustainable energy, but also to environmental planners, agriculture and soil specialists, and environmental policy-makers.