This Data Documentation presents the second version of the Global Energy System Model (GENeSYSMOD), an open-source energy system modeling framework. The model endogenously determines costoptimal investment paths into conventional and renewable energy
2018| Thorsten Burandt, Konstantin Löffler, Karlo Hainsch
This data documentation describes a data set of the German electricity, heat, and natural gas sectors compiled within the research project ‘LKD-EU’ (Long-term planning and short-term optimization of the German electricity system within the Europe
2017| Friedrich Kunz, Mario Kendziorski, Wolf-Peter Schill, Jens Weibezahn, Jan Zepter, Christian von Hirschhausen, Philipp Hauser, Matthias Zech, Dominik Möst, Sina Heidari, Björn Felten, Christoph Weber
This Data Documentation presents a dynamic investment and dispatch model for Europe named dynELMOD. The model endogenously determines investments into conventional and renewable power plants, different storage technologies including demand side ...
This paper documents methodology underlying the construction of the integrated data base for our study on “Wer trägt die Steuerlast in Deutschland? – Verteilungswirkungen des deutschen Steuer- und Transfersystems” (Who bears the tax burden in
2016| Stefan Bach, Martin Beznoska, Viktor Steiner
Coal is at the core of the debate about climate change mitigation policies, yet the internationalmarket for it is not well represented in most energy models. This paper presents the COALMODframework which is a model of the international steam coal ..
2016| Franziska Holz, Clemens Haftendorn, Roman Mendelevitch, Christian von Hirschhausen
This data documentation introduces to nodal dispatch models and the literature of the ELMOD model framework, which focuses on bottom-up electricity sector models with detailed spatial representation of the transmission system. The paper provides the