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This book successfully illustrates the modeling of electricity prices with the help of stochastic processes. The relatively new phenomenon of negative prices is also integrated into the models. The integration of feed-in from wind power plants in energy models is also very innovative. This approach helps to simulate electricity prices in order to take into account the "merit-order effect of renewable energy". Finally, the models are used for the techno-economic evaluation of energy storages.
In this study we develop a flexible modeling toolbox for decentralized electricity systems with an agent-based simulation approach at its core. Two RES-E generation models for wind and PV each with a high temporal and spatial resolution are presented and approaches to model specific aspects of the demand side in detail are introduced. The implementation of an AC load flow algorithm is described and the concept of a market-based congestion management mechanism is outlined.
Emil Kraft analyses the French capacity remuneration mechanism design and develops a capacity market model that draws upon an agent-based simulation. The capacity mechanism was implemented to mitigate the imminent risk to the security of supply and to complement the electricity markets. The author applies his model to real data in three scenarios and assesses both the impact of the mechanism on the development of the French generation fleet until 2050 and the evolution of the capacity prices. The key conclusions consist of the effectiveness and the controllability of the implemented mechanism. As a complement to functioning electricity markets it is able to provide sufficient investment incentives and thus to guarantee the French security of supply in the future.
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 o...
Management of Special Areas in Public Administration
This book explores the intrinsically multiscale issue of renewable energy transition from a local, national and transnational perspective, and provides insights into current developments in the Upper Rhine Region that can serve as an international model. Organised around the exploration of stakeholder issues, the volume first describes a framework for public action and modelling and then articulates a triple complementary focus from the viewpoint of law, economics and sociology. This multidisciplinary approach is anchored in the social sciences, but also explores the ways in which technological issues are increasingly debated in the implementation of the ecological transition. With a focus o...
This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2022), which was held at Karlsruhe Institute of Technology, Germany, on September 6-9, 2022. KIT’s Institute for Operations Research (IOR) hosted the conference together with the Institute for Industrial Production (IIP), the Institute for Automation and Applied Informatics (IAI), and the Institute for Material Handling and Logistics (IFL). The respective papers discuss classical mathematical optimization, statistics and simulation techniques. These are complemented by computer science methods, and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it includes problems modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.
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