Energiewirtschaftliches Institut an der Universität zu Köln gGmbH


Arne Lilienkamp, M.Sc.

Arne Lilienkamp

is a Research Associate and Ph.D. student at the EWI since 2019. His research focuses on modeling energy systems and coordination mechanisms in the context of digitalization, decentralization, and sector coupling. A special focus is on the integration of electromobility here. He also works on topics related to data analytics and machine learning. Before joining the EWI, Arne Lilienkamp studied industrial engineering with a focus on electrical power engineering at RWTH Aachen University and economics and management of power engineering at CTU in Prague.



+49 221 - 27729-115
Curriculum Vitae


Client: ENGIE

2030 Peak Power Demand in North-West Europe

To study the power system’s response to cold spells in 2030, EWI and E-CUBE define three electricity demand scenarios based on TSO scenarios and national energy policy objectives for North-West Europe and then analyze the occurrence of supply-demand gaps under TYNDP 2020-like supply scenarios. Our results show that by 2030, the risk of supply-demand gaps at peak time under cold temperatures increases. These results are especially driven by the assumed increased role of heat pumps. There is significant uncertainty concerning the performance of heat pumps and the composition of the future fleet. We identify the potential demand-supply gap as an important coordination challenge for the European energy transition. The study was commissioned by ENGIE.

Client: Own publication of the Virtual Institute Smart Energy (VISE)

VISE Policy Brief No. 9: Aggregation of households in (regional) virtual power plants: Regulatory framework and hurdles

Regional virtual power plants (RVPPs) are virtual power plants located behind a single distribution network node. They market the flexibility of households by centrally controlling their generation, storage and consumption devices. These can be, for example, PV systems with battery home storage, heat pumps or micro-CHP systems with thermal storage or electric vehicles with smart chargers. RVPP operators can aggregate these units and market them on the wholesale market for electricity and, if applicable, the balancing power market.

In principle, RVPPs can be operated economically. However, the current regulatory framework in Germany has a considerable impact on which business models are possible at all and how profitable they may be.

Restrictions result in particular from the so-called final consumer status and the associated levies, charges and taxes on household electricity tariffs. The tariff structure makes storage operations involving the withdrawal from and re-injection of electricity into grid uneconomical. The only way to remedy this situation would be a complete netting of all levies, charges and taxes incurred during withdrawal from and re-injection into the grid. However, business models that rely solely on shifting household consumption in order to market the flexibility resulting flexibility are possible: household electricity tariffs are usually time-invariant and relying only on load shifting avoids an additional exchange of electricity with the grid and thus the associated levies, taxes and fees. Additional revenue opportunities also arise from potential direct marketing activities for owners of electricity generation plants subsidised under the Renewable Energy Sources Act (EEG) or the Combined Heat and Power Act (KWKG).


Auswirkungen von Kälteperioden auf die Spitzenlast im nordwesteuropäischen Stromsystem in 2030

Eglantine Künle, Jonas Zinke, Arne Lilienkamp, Nils Namockel; 2020
In: et - Energiewirtschaftliche Tagesfragen, Vol. 70 (12), 2020, pp. 52-54.

Analyse zukünftiger Elektrofahrzeugnutzung auf Basis von App-Daten

Arne Lilienkamp, Philipp Artur Kienscherf, Karsten Schroer, Max Gierkink; 2020
In: et - Energiewirtschaftliche Tagesfragen, Vol. 70 (11), 2020, pp. 53-55.

Erlöspotenziale gewerblicher Elektromobilität am deutschen Strommarkt

Mihail Ketov, Kilian Geschermann, Arne Lilienkamp und Albert Moser; 2018
In: et - Energiewirtschaftliche Tagesfragen, Ausgabe 5/2018, 26.04.2018, pp. 42.

Consulting Projects

Analysis of household energy consumption based on unsupervised learning
Seminars on energy economics
Analysis of future electric vehicle use based on app data

Research Projects