As societies face the challenge of securing an efficient and environmentally sound energy supply, researchers have strived to determine the future development of energy consumption, infrastructure and technology endowment. This book proposes a new agent-based approach to studying the development of urban energy systems. Decisions of private and commercial investors and operators are modeled using a bounded rational decision model which are parameterized by socio-economic data.
This volume includes 74 papers presented at ICTIS 2017: Second International Conference on Information and Communication Technology for Intelligent Systems. The conference was held on 25th and 26th March 2017, in Ahmedabad, India and organized jointly by the Associated Chambers of Commerce and Industry of India (ASSOCHAM) Gujarat Chapter, the G R Foundation, the Association of Computer Machinery, Ahmedabad Chapter and supported by the Computer Society of India Division IV – Communication and Division V – Education and Research. The papers featured mainly focus on information and communications technology (ICT) for computation, algorithms and data analytics. The fundamentals of various data analytics and algorithms discussed are useful to researchers in the field.
Europe's Energy Transition: Insights for Policy Making looks at the availability and cost of accessing energy and how it significantly affects economic growth and competitiveness in global markets. The results in this book, from a European Commission (EC) financed project by INSIGHT_E, provide an overview of the most recent analyses, focusing on energy markets and their implications for society. Designed to inform European policymaking, elements of this book will be integrated into upcoming EC policies, giving readers invaluable insights into the cost and availability of energy, the effect of price increases affecting vulnerable consumer groups, and current topics of interest to the EC and ongoing energy debate.INSIGHT_E provides decision-makers with unbiased policy advice and insights on the latest developments, including an assessment of their potential impact. - Presents answers to strategic questions posed by the European Commission - Coherently assesses the energy transition, from policies to energy supply, markets, system requirements, and consumer needs - Informed the EC "Clean Energy for All Europeans" package from end of 2016, e.g., regarding aspects of energy poverty - Endorsed by thought leaders from within and outside of Europe, including utilities, energy agencies, research institutes, journal editors, think tanks, and the European Commission
This will be the first textbook on the integration of food, energy and water systems (FEWS). In recent years, the world has seen a dramatic rise in interdisciplinary energy and environmental courses and degrees at the undergraduate and graduate levels. In the US for instance, the number and variety of such programs has increased significantly over the past decade, Simultaneously, national and international initiatives that integrate food, energy and water systems have been launched. This textbook provides a substantive introduction to the food-energy-water nexus suitable for use in higher level undergraduate and graduate level courses and for scholars moving into the field of nexus studies without a strong background in all three areas and the many aspects of nexus studies.
Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is a proven approach to handle this challenge. This book provides a practical introduction to agent-based modelling of socio-technical systems, based on a methodology that has been developed at TU Delft and which has been deployed in a large number of case studies. The book consists of two parts: the first presents the background, theory and methodology as well as practical guidelines and procedures for building models. In the second part this theory is applied to a number of case studies, where for each model the development steps are presented extensively, preparing the reader for creating own models.
A comprehensive resource on different aspects of sustainable carbon capture technologies including recent process developments, environmentally friendly methods, and roadmaps for implementations. It discusses also the socio-economic and policy aspects of carbon capture and the challenges, opportunities, and incentives for change with a focus on industry, policy, and governmental sector. Through applications in various fields of environmental health, and four selected case studies from four different practical regimes of carbon capture, the book provides guidelines for sustainable and responsible carbon capture and addresses current and future global energy, environment, and climate concerns.
This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). In doing so, it provides a timely overview of key ABM methodologies and the most innovative approaches through a variety of empirical applications. It features cutting-edge research from leading academics and practitioners, and will provide a guide for characterising and parameterising human agents in empirical ABM. In order to facilitate learning, this text shares the valuable experiences of other modellers in particular modelling situations. Very little has been published in the area of empirical ABM, and this contributed volume will appeal to graduate-level students and researchers studying simulation modeling in economics, sociology, ecology, and trans-disciplinary studies, such as topics related to sustainability. In a similar vein to the instruction found in a cookbook, this text provides the empirical modeller with a set of 'recipes' ready to be implemented. Agent-based modeling (ABM) is a powerful, simulation-modeling technique that has seen a dramatic increase in real-world applications in recent years. In ABM, a system is modeled as a collection of autonomous decision-making entities called “agents.” Each agent individually assesses its situation and makes decisions on the basis of a set of rules. Agents may execute various behaviors appropriate for the system they represent—for example, producing, consuming, or selling. ABM is increasingly used for simulating real-world systems, such as natural resource use, transportation, public health, and conflict. Decision makers increasingly demand support that covers a multitude of indicators that can be effectively addressed using ABM. This is especially the case in situations where human behavior is identified as a critical element. As a result, ABM will only continue its rapid growth. This is the first volume in a series of books that aims to contribute to a cultural change in the community of empirical agent-based modelling. This series will bring together representational experiences and solutions in empirical agent-based modelling. Creating a platform to exchange such experiences allows comparison of solutions and facilitates learning in the empirical agent-based modelling community. Ultimately, the community requires such exchange and learning to test approaches and, thereby, to develop a robust set of techniques within the domain of empirical agent-based modelling. Based on robust and defendable methods, agent-based modelling will become a critical tool for research agencies, decision making and decision supporting agencies, and funding agencies. This series will contribute to more robust and defendable empirical agent-based modelling.
This book introduces current managerial approaches to energy production and energy use. The volume analyses how to manage technological developments that contribute to lowering the price of energy production and also focuses on the impact renewable energy sources that provide continuity in energy production and how to manage it. The book presents studies on the effectiveness of wind, solar, biomass, geothermal and hydroelectric energies and discusses current technological approaches to prevent environmental pollution such as carbon capture and storage. Furthermore, the book includes sustainable economic and financial strategies to use energy more effectively and efficiently. It thus appeals not only to an academic readership but also to energy management professionals working in this field.
This book highlights recent developments in the field of computer simulation and its application to social dynamics and behaviour. It covers latest advancements in the use of agent-based modelling by focusing on thematic issues, methodological progress and applications, including policy, industry and business. It aims to promote this interdisciplinary type of research by showing synergies, complementary and integration especially between computer sciences, social sciences, economics and organization, often bridging qualitative and quantitative research. The primary audience of this book are academics, practitioners and professionals using computer simulation for business counselling or industry.
