Workgroup for Economic and Infrastructure Policy (WIP)

MOdellierung (DE-)ZEntraler ENergiewenden: Interactions, coordination and approaches to solutions from a system-oriented perspective

The TUB is involved in several work packages, from which several focal points of work can be derived. In WP1, a common basis is created together with the project partners by preparing scientific preliminary work as well as methods and defining relevant terms.

Another focus in WP2 is the further development of the methodology for mapping flow-based market coupling (FBMC) in an electricity market model. FBMC more accurately maps physical network constraints in the market outcome than the previously used net transfer capacity (NTC) approach, leading to welfare gains through more efficient use of network infrastructure. FBMC has been applied in the CWE region (Central Western Europe) of the European Electricity Market since 2015 and is planned to be extended to the CORE region from the end of 2020. The aim is to adequately implement this market coupling process in a fundamental model in order to analyze effects of different factors. Specifically, the influences of higher amounts of renewable energy (RE), the design of uncertain forecast parameters, changing regulatory frameworks, and increased sector coupling will be investigated.

In WP4, it will be investigated how regional markets could look like in the future, given the fact that the electricity market is evolving from a rather centralized system to a decentralized system. Different design options will be analyzed with regard to their impact on the grid infrastructure and the centralized electricity market. For this purpose, previously existing models at the TUB and DIW Berlin will be coupled, which depict regional energy systems and use of the transmission grid in detail.

In WP6, the datasets and models developed in the project will finally be processed and published according to the Open Data and Open Access principles. In addition, the individual work packages will be classified at a higher level of abstraction and relevant findings will be summarized.