Timo Laukkanen
Staff Scientist
Staff Scientist
T212 Mechanical Engineering
Full researcher profile
https://research.aalto.fi/...
Email
[email protected]
Phone number
+358505645135
Areas of expertise
Industrial energy systems, Bilevel Optimization, MINLP optimization, Process simulation, Process Integration
Research groups
- Energy Conversion and Systems, Staff Scientist
Publications
AspenPlus-based techno-economic analysis of solar-assisted sorption-enhanced gasification for hydrogen and chemicals recovery from polyethylene terephthalate waste
Shouzhuang Li, Timo Laukkanen, Dingyi Jiang, Ville Vuorinen, Mika Järvinen
2024
Energy Conversion and Management
Integration of thermal energy storage for sustainable energy hubs in the forest industry : A comprehensive analysis of cost, thermodynamic efficiency, and availability
Behnam Talebjedi, Timo Laukkanen, Henrik Holmberg
2024
Heliyon
Effect of biomass-based carbon capture on the sustainability and economics of pulp and paper production in the Nordic mills
Katja Kuparinen, Satu Lipiäinen, Esa Vakkilainen, Timo Laukkanen
2023
Environment, Development and Sustainability
Advanced design and operation of Energy Hub for forest industry using reliability assessment
Behnam Talebjedi, Timo Laukkanen, Henrik Holmberg, Sanna Syri
2023
Applied Thermal Engineering
Long-term thermal energy storage prototype of cold-crystallizing erythritol-polyelectrolyte
Konsta Turunen, Valtteri Mikkola, Timo Laukkanen, Ari Seppälä
2023
Applied Energy
Advanced energy-saving optimization strategy in thermo-mechanical pulping by machine learning approach
B. Talebjedi, T. Laukkanen, H. Holmberg, E. Vakkilainen, S. Syri
2022
Nordic Pulp & Paper Research Journal
An artificial intelligence based-model for heat transfer modeling of 5G smart poles
A. Khosravi, T. Laukkanen, K. Saari, V. Vuorinen
2021
Case Studies in Thermal Engineering
Waste heat recovery from a data centre and 5G smart poles for low-temperature district heating network
Ali Khosravi, Timo Laukkanen, Ville Vuorinen, Sanna Syri
2021
Energy
Electricity demand time series forecasting based on empirical mode decomposition and long short-term memory
Saman Taheri, Behnam Talebjedi, Timo Laukkanen
2021
Energy Engineering: Journal of the Association of Energy Engineering
Energy Efficiency Analysis of the Refining Unit in Thermo-Mechanical Pulp Mill
Behnam Talebjedi, Timo Laukkanen, Henrik Holmberg, Esa Vakkilainen, Sanna Syri
2021
Energies