2 June 2022 15:00-16:30 UK time (on Zoom) | Dominik Möst & Christina Wolff (TU Dresden)
Zoom link: https://ed-ac-uk.zoom.us/j/82258587417 (Meeting ID: 822 5858 7417, Passcode: phYd111R)
Adequate capacity in the German electricity market: current developments and future solutions
Stable operation of the electricity system requires adequate capacities. In a meshed European energy system and increasing shares of renewable energies, determining adequate capacity is becoming increasingly challenging. This contribution illustrates different methods for analysing sufficient capacity in the electricity market and examines their differences: The simplest form of analysis is a static view of capacities using simple availability factors. Chance-constrained programming can extend the static view by uncertainty data, e.g., load and renewable feed-in. Highly sophisticated approaches are probabilistic methods, necessitating much more data and a higher modelling effort.
Additional to the illustration of methods, a case study on the German energy system is used to illustrate the challenges in the coming years: The phase-out of coal and nuclear capacities reduces secured capacity. Can the expansion of renewable energies compensate for this decline or are other capacities necessary? And which technologies can play a role here? The contribution discusses the question of adequate capacity and the role of technologies in the coming years but also highlights solutions for a decarbonised energy system with a high share of renewables.
Dominik Möst is full professor of energy economics at the Technische Universität Dresden since 2010. He was Vice Dean of the Faculty of Business and Economics, TU Dresden from 2013 to 2018. Before being in Dresden, he headed the research group „Energy system analysis and environment“ from 2004 to 2010 at the Institute for Industrial Production at the Karlsruhe Institute of Technology (KIT) – formerly Universität Karlsruhe (TH). Additional Mr. Möst was heading the Young Investigator Group (YIG) „New methods for energy market modelling“ at the KIT, which was granted within the Excellence program of the KIT. Among many third-party funded projects, he coordinated the Horizon 2020 LCE21 project “REFLEX – Analysis of the European energy system under the aspects of flexibility and technological progress” with a project volume of 3 million Euro.
He studied Industrial Engineering and Business administration at the Universität Karlsruhe (TH) and at the ENSGI-INPG Grenoble (Ecole nationale supérieure de Genie Industriel, France), holds a Dr. degree in economics from the Universität Karlsruhe (TH) and habilitated at the Karlsruher Institute of Technology with the topic “Energy economics and energy system analysis – Methods for decision support and its application in energy markets”.
His research focuses on analyzing the development of European electricity and gas markets, the integration of renewable sources and energy and resource efficiency. His objective is to anticipate and study relevant issues in energy economics and discuss the gained knowledge with representatives from policy, industry and students in the context of our teaching.
Modeling the future German energy grid to secure high levels of security of supply– obstacles, assumptions, and possible solutions
Ensuring a high level of security of supply from a short- and long-term view becomes more and more important these days. From a grid perspective, this includes adequately modeling congestion management and future grid expansion. With an increasing energy demand, for example, due to the large use of heat pumps and electromobility and a higher feed-in of volatile renewable energies, the requirements on the power grids also increased. In recent years, redispatch measures have risen dramatically, resulting in increased system costs. To reduce costs, grid expansion measures, among other things, are of great importance. Therefore, a two-stage model including dispatch and redispatch calculations is used that reveals future grid expansion requirements. Obstacles from a data perspective that arise when dealing with future energy models are shown, and possible solutions for reducing congestion management measures based on a price zone configuration are pointed out.
Christina Wolff has been a PhD researcher and research associate at the Chair of Energy Economics at the Technische Universität (TU) Dresden since March 2021. She studied Business Economics, focusing on energy and sustainability at RWTH Aachen and Tallinn University of Technology. Currently, she is working on the project „VerSEAS: Security of Supply in a Transformed Electricity System with Extreme Shares of Renewables and Strong Sector Coupling,“ which is part of the Energy Research Program of the German Federal Government. Her research focuses on energy system modeling and, in particular, on the security of supply in the electricity grid by using optimal price zone configurations.
