Taking eleven countries in Europe, Canada, South Africa, America, Latin America and Australia, this book discusses recurring barriers to cluster development in the renewable energy sector. The authors look at the real-world dynamics and tensions between stakeholders on the ground, with a particular focus on the relationships between SMEs and other actors. This trans-regional study is unique in its scale and scope, drawing on a decade of field research to show how by learning from the successes and failures of other clusters, costs and risk can be reduced. The book fills a significant gap in the literature for policymakers, managers and economic developers in a key market.

This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It consists of two sections; the first one is on the generation side forecasting methods, while the second section deals with the different ways of load forecasting. It broadly includes artificial intelligence, machine learning, hybrid techniques and other state-of-the-art techniques for renewable energy and load predictions. The book reflects the state of the art in distributed generation system and future microgrids and covers theory, algorithms, simulations and case studies. It offers invaluable insights through this valuable resource to students and researchers working in the fields of renewable energy, integration of renewable energy with existing grid and electrical distribution network.

The book provides a comprehensive overview of the technologies and processes involved in renewable energy generation, with a specific focus on their role in improving the circular economy. It offers all the necessary information and tools to help readers select the most sustainable renewable energy solution for different conditions. Exploring real-life examples, the book delves into the practical applications of the circular economy in the renewable energy sector. It takes a multi-faceted approach, examining the circular economy from various perspectives and incorporating methods such as lifecycle assessment, sustainability assessment, multi-criteria decision-making, and multi-objective optimization modes. Furthermore, the book explores the concept of blockchain, hybrid renewable energy models, technologies, and implementation. It also investigates the critical factors and key enablers that influence sustainable development in this field. By doing so, it not only facilitates the transition to a circular economy but also highlights the shift in recent research, trends, and attitudes towards a more scientifically grounded approach. The primary objective of this book is to compile research specifically focused on the circular economy in renewable energy. By providing researchers and policymakers in the energy sector with the necessary scientific methodology and metrics, it enables the development of strategies for a sustainable transition. This book serves as a valuable resource for students, researchers, and practitioners seeking to deepen their understanding of energy planning and the current and future trends of biofuel as an alternative fuel.

Cluster organizations are becoming more and more popular, both in developing and developed countries. Considering the development of cluster policy and the related dynamic growth of cluster initiatives in the world, the lack of sufficient knowledge on the development of cooperation in cluster organizations inhibits their development and, in many cases, causes their complete disintegration. The book provides new important elements to the current system of knowledge, filling in cognitive and research gaps in the scientific literature on problems related to cooperation in cluster organizations. The most valuable features for the reader concern the epistemological, methodological, and application aspects. The new element includes a theoretical concept, which refers to the trajectory of development of cooperative relationships in cluster organizations that facilitates the understanding and explanation of mechanisms responsible for cooperation in such organizations. The concept also has great practical advantages, especially for people implementing the idea of "clustering": coordinators, facilitators, and members of cluster organizations as well as politicians and public authorities are responsible for shaping and implementing the cluster policy. It will be of value to researchers, academics, and students in fields with an interest in organizational studies, management of innovation and technology, strategic management, industrial economics, and economic geography.

Renewables are a game changer for interstate energy relations. Their abundance and intermittency, possibilities for decentral generation and use of rare earth materials, and generally electric nature of transportation make them very different from fossil fuels. What do these geographic and technical characteristics of renewable energy systems imply for infrastructure topology and operations, business models, and energy markets? What are the consequences for the strategic realities and policy considerations of producer, consumer, and transit countries and energy-related patterns of cooperation and conflict between them? Who are the winners and losers? The Geopolitics of Renewables is the first in-depth exploration of the implications for interstate energy relations of a transition towards renewable energy. Fifteen international scholars combine insights from several disciplines - international relations, geopolitics, energy security, renewable energy technology, economics, sustainability transitions, and energy policy - to establish a comprehensive overview and understanding of the emerging energy game. Focus is on contemporary developments and how they may shape the coming decades on three levels of analysis: · The emerging global energy game; winners and losers · Regional and bilateral energy relations of established and rising powers · Infrastructure developments and governance responses The book is recommended for academics and policy makers. It offers a novel analytical framework that moves from geography and technology to economics and politics to investigate the geopolitical implications of renewable energy and provides practical illustrations and policy recommendations related to specific countries and regions such as the US, EU, China, India, OPEC, and Russia

This book answers questions such as: How do you market green electricity or bio-methane? What is the right price for renewable energy? How do the legal framework and customer preferences influence marketing strategies? Is direct marketing or online marketing the key to success? Answers to these and many other questions can be found in this volume, which gathers contributions from leading researchers and respected practitioners. Employing an easy-to-follow, clearly structured format, it combines the latest research results and concrete case studies to help readers understand the fundamentals of marketing for renewable energies and new business models from different countries.

Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. - Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems - Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications - Includes dedicated chapters with case studies and applications for each sustainable energy source