Daniel Speth

Daniel Speth is a Researcher at the Fraunhofer Institute for Systems and Innovation Research (ISI) in the Department of Energy Technology and Energy Systems. He earned his doctoral degree from the Karlsruhe Institute of Technology (KIT) in May 2024 for his dissertation on electrification of road freight transport, focusing on public fast charging infrastructure and market diffusion of battery electric trucks.

His educational background includes:

• Bachelor’s and Master’s studies in Industrial Engineering and Management at KIT, specializing in energy economics and logistics
• 2018 Master’s thesis at Fraunhofer ICT on EU legislation impacts on CO₂ fleet targets
• 2024 Doctoral degree from KIT on electric truck infrastructure and market diffusion

Speth’s research centers on heavy-duty vehicle electrification, with expertise in techno-economic assessments of alternative fuel vehicles and charging infrastructure planning. His work analyzes market diffusion patterns, infrastructure requirements for battery electric trucks, and integration of electric mobility into power systems, utilizing agent-based modeling and real-world data analysis to inform policy decisions.

His 2024-2025 publications reveal a concentrated focus on heavy-duty transport electrification, particularly optimal fast-charging network design for battery electric trucks across Germany and Europe. Key themes include megawatt charging infrastructure, comparative analysis of overhead line versus static charging systems, and behavioral factors affecting electric vehicle adoption in freight and passenger transport.

No scientific awards were documented in the provided information.

Speth contributes to the ALADIN project (a diffusion model for electric mobility) and participates in major Fraunhofer initiatives like eWayBW for overhead line truck testing. His collaborative work involves transportation data analysis, infrastructure planning, and policy evaluation for German federal programs, though specific grant details and student advising roles are not disclosed.

As a core member of Fraunhofer ISI’s energy systems team, he collaborates with KIT researchers and industry partners on real-world implementation projects. His work bridges technical infrastructure development with market adoption analysis, particularly through the ALADIN modeling framework that simulates electric mobility diffusion scenarios under varying policy conditions.