Dr. Maximilian Blaschke


Address: Arcisstr. 21, 80333 Munich
eMail: maximilian.blaschke@tum.de
Telephone: +49 (0) 89 289-25003
Telefax: +49 (0) 89 289-25802
Room: 2421


Research Interests:

I investigate regulatory incentives that foster the adoption of greener alternative technologies like electric vehicles or renewable electricity generation. As these greener alternative technologies frequently depend on demand side management, storage as well as grid reinforcements, I focus my research on the economic implementation and usage optimization of these flexibility measures. Using simulations and economic models I challenge taxation mechanisms, subsidy schemes, policies and regulations with a sustainability and climate focus. By that, my research uncovers political barriers and provides solutions that drive and incentivize the adoption of renewable energy and clean transportation for a more sustainable future.


Teaching Activities:

Controlling (Exercise), Cost Accounting (Lecture / Exercise), Management Accounting & various seminars



Link to CV.

Main Publications:

Blaschke, Maximilian J.: Dynamic pricing of electricity: Enabling demand response in domestic households, Energy Policy (164), 2022

Friedl, G., Reichelstein, S., Bach, A., Blaschke, M., Kemmer, L.: Applications of the levelized cost concept. J Bus Econ (93), 1125–1148, 2023


Please click here  for an updated list.


Current Working Papers

Blaschke, Maximilian J.: Subsidy-Induced Innovation & Learning: How Green are Subsidies in Electric Vehicles
Blaschke, Maximilian J.: How households benefit from pre-announced electricity price information: a rolling horizon simulation with a battery storage system
Steinbach, Sarah; Blaschke, Maximilian J.: Enabling E-mobility: Can PV and home battery significantly reduce grid reinforcement costs?
Schloter, Lukas; Blaschke, Maximilian J.: Hidden discrimination: Why regulators around the world might deny a common measuring system for the emissions of vehicles
Steinbach, Sarah; Blaschke, Maximilian J.: Another source of inequality? How grid reinforcement costs differ by socio-economic EV user groups