activity
20172022
most citedImpact of different time series aggregation methods on optimal energy system design

368 citations · 998 across the 11 of their papers we have counts for

collaborators

12 papers

econ.GN2022★ 81 cited

Global LCOEs of decentralized off-grid renewable energy systems

Jann Michael Weinand, Maximilian Hoffmann, Jan Göpfert +7

Recent global events emphasize the importance of a reliable energy supply. One way to increase energy supply security is through decentralized off-grid renewable energy systems, fo…

physics.app-ph2022★ 141 cited

Overcoming the disconnect between energy system and climate modeling

Michael T. Craig, Jan Wohland, Laurens P. Stoop +20

Energy system models underpin decisions by energy system planners and operators. Energy system modelling faces a transformation: accounting for changing meteorological conditions i…

math.OC2022

Impact of Data Quality on Renewable Energy Potential Estimations

Stanley Risch, Rachel Maier, Junsong Du +4

Potential analyses identify possible locations for renewable energy installations, such as as wind turbines and photovoltaic arrays. The results of previous potential studies, howe…

math.OC2022★ 2 cited

The Value of Recycling for Low-Carbon Energy Systems -- a Case Study of Germany's Energy Transition

Felix Kullmann, Peter Markewitz, Leander Kotzur +1

To achieve climate neutrality, synergies between circular economy and reduction of greenhouse gas emissions must be strengthened. Previously idle emission reduction potentials of r…

math.OC2021

The Pareto-Optimal Temporal Aggregation of Energy System Models

Maximilian Hoffmann, Leander Kotzur, Detlef Stolten

The growing share of intermittent renewable energy sources, storage technologies, and the increasing degree of so-called sector coupling necessitates optimization-based energy syst…

math.OC2021

Impact of Spatial and Technology Aggregation on Optimal Energy System Design

Shruthi Patil, Leander Kotzur, Detlef Stolten

Designing an optimal energy system with large shares of renewable energy sources is computationally challenging. Considering greater spatial horizon and level of detail, during the…

math.OC2021

Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models

Maximilian Hoffmann, Jan Priesmann, Lars Nolting +3

Energy system models are challenged by the need for high temporal and spatial resolutions in or-der to appropriately depict the increasing share of intermittent renewable energy so…

math.OC2020

A modeler's guide to handle complexity in energy systems optimization

Leander Kotzur, Lars Nolting, Maximilian Hoffmann +10

The determination of environmentally- and economically-optimal energy system designs and operations is complex. In particular, the integration of weather-dependent renewable energy…

math.OC2020★ 67 cited

Extreme events in time series aggregation: A case study for optimal residential energy supply systems

Holger Teichgraeber, Constantin P. Lindenmeyer, Nils Baumgärtner +5

To account for volatile renewable energy supply, energy systems optimization problems require high temporal resolution. Many models use time-series clustering to find representativ…

physics.soc-ph2020★ 44 cited

Bottom-up energy supply optimization of a national building stock

Leander Kotzur, Peter Markewitz, Martin Robinius +4

The installation and operation distributed energy resources (DER) and the electrification of the heat supply significantly changes the interaction of the residential building stock…

math.OC2017★ 295 cited

Time series aggregation for energy system design: Modeling seasonal storage

Leander Kotzur, Peter Markewitz, Martin Robinius +1

The optimization-based design of renewable energy systems is a computationally demanding task because of the high temporal fluctuation of supply and demand time series. In order to…

math.OC2017★ 368 cited

Impact of different time series aggregation methods on optimal energy system design

Leander Kotzur, Peter Markewitz, Martin Robinius +1

Modelling renewable energy systems is a computationally-demanding task due to the high fluctuation of supply and demand time series. To reduce the scale of these, this paper discus…