TY - GEN A1 - Most, Dieter A1 - Giannelos, Spyros A1 - Yueksel-Erguen, Inci A1 - Beulertz, Daniel A1 - Haus, Utz-Uwe A1 - Charousset-Brignol, Sandrine A1 - Frangioni, Antonio T1 - A Novel Modular Optimization Framework for Modelling Investment and Operation of Energy Systems at European Level N2 - Project plan4res (www.plan4res.eu) involves the development of a modular framework for the modeling and analysis of energy system strategies at the European level. It will include models describing the investment and operation decisions for a wide variety of technologies related to electricity and non-electricity energy sectors across generation, consumption, transmission and distribution. The modularity of the framework allows for detailed modelling of major areas of energy systems that can help stakeholders from different backgrounds to focus on specific topics related to the energy landscape in Europe and to receive relevant outputs and insights tailored to their needs. The current paper presents a qualitative description of key concepts and methods of the novel modular optimization framework and provides insights into the corresponding energy landscape. T3 - ZIB-Report - 20-08 KW - energy systems analysis and optimization KW - simulation and planning under uncertainty KW - renewables integration KW - sector coupling KW - climate change impact Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-78079 SN - 1438-0064 ER - TY - CHAP A1 - Beulertz, Daniel A1 - Charousset-Brignol, Sandrine A1 - Most, Dieter A1 - Giannelos, Spyros A1 - Yueksel-Erguen, Inci T1 - Development of a Modular Framework for Future Energy System Analysis T2 - 54th International Universities Power Engineering Conference (UPEC) N2 - This paper gives an overview of the modeling framework that is being developed within the Horizon2020 project plan4res. In the context of energy transition, integration of high shares of renewable energies will play a vital role for achieving the proposed climate targets. This brings new challenges to modeling tools, including data construction, implementation and solution techniques. In order to address these challenges, plan4res aims to create a well-structured and highly modular framework that will provide insights into the needs of future energy systems. An overview of the central modeling aspects is given in this paper. Finally, three case studies are presented that show the adequacy and relevance of the proposed optimization framework. Y1 - 2019 U6 - https://doi.org/10.1109/UPEC.2019.8893472 ER -