An expert survey to assess the current status and future challenges of energy system analysis Fabian Scheller*,
[email protected], Energy Economics and System Analysis, Division of Sustainability, Department of Technology, Management and Economics, Technical University of Denmark, Akademivej, 2800 Kgs. Lyngby, Denmark. Frauke Wiese,
[email protected], Abteilung Energie- und Umweltmanagement, Europa- Universität Flensburg, 24943 Flensburg Jann Michael Weinand,
[email protected], Chair of Energy Economics, Institute for Industrial Production (IIP), Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany Dominik Franjo Dominković,
[email protected], Department of Applied Mathematics and Computer Science, Technical University of Denmark, Matematiktorvet, 2800 Kgs. Lyngby, Denmark. Russell McKenna,
[email protected], Chair of Energy Transition, School of Engineering, University of Aberdeen, King's College, Aberdeen AB24 3FX, United Kingdom & Department of Mechanical and Process Engineering (MAVT), ETH Zurich, 8092 Zürich, Switzerland * Corresponding author Abstract Decision support systems like computer-aided energy system analysis (ESA) are considered one of the main pillars for developing sustainable and reliable energy transformation strategies. Although today's diverse tools can already support decision-makers in a variety of research questions, further developments are still necessary. Intending to identify opportunities and challenges in the field, we classify modelling capabilities (32), methodologies (15) implementation issues (15) and management issues (7) from an extensive literature review. Based on a quantitative expert survey of energy system modellers (N=61) mainly working with simulation and optimisation models, the status of development and the complexity of realisation of those modelling topics are assessed. While the rated items are considered to be more complex than actually represented, no significant outliers are determinable, showing that there is no consensus about particular aspects of ESA that are lacking development.