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Fredrik Ahlgren
Fredrik Ahlgren
Senior Lecturer, PhD, Linnaeus University
Verifierad e-postadress på lnu.se - Startsida
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Energy and exergy analysis of a cruise ship
F Baldi, F Ahlgren, TV Nguyen, M Thern, K Andersson
Energies 11 (10), 2508, 2018
1102018
Quasi-steady state simulation of an organic Rankine cycle for waste heat recovery in a passenger vessel
ME Mondejar, F Ahlgren, M Thern, M Genrup
Applied Energy 185, 1324-1335, 2017
812017
Optimal load allocation of complex ship power plants
F Baldi, F Ahlgren, F Melino, C Gabrielii, K Andersson
Energy Conversion and Management 124, 344-356, 2016
792016
Waste heat recovery in a cruise vessel in the Baltic Sea by using an Organic Rankine Cycle: A case study
F Ahlgren, ME Mondejar, M Genrup, M Thern
Journal of Engineering for Gas Turbines and Power 138 (1), 2016
352016
Waste heat recovery in a cruise vessel in the Baltic Sea by using an organic Rankine cycle: a case study
F Ahlgren, ME Mondejar, M Genrup, M Thern
Turbo Expo: Power for Land, Sea, and Air 56673, V003T06A018, 2015
152015
Predicting dynamic fuel oil consumption on ships with automated machine learning
F Ahlgren, ME Mondejar, M Thern
Energy Procedia 158, 6126-6131, 2019
142019
Auto machine learning for predicting ship fuel consumption
F Ahlgren, M Thern
ECOS 2018-the 31st International Conference on Efficiency, Cost …, 2018
82018
The application of process integration to the optimisation of cruise ship energy systems: a case study
F Baldi, TV Nguyen, F Ahlgren
29th International Conference on Efficiency, Cost, Optimization, Simulation …, 2016
82016
Study of the on-route operation of a waste heat recovery system in a passenger vessel
ME Mondejar, F Ahlgren, M Thern, M Genrup
Energy Procedia 75, 1646-1653, 2015
82015
A review on applications of machine learning in shipping sustainability
B Pena, L Huang, F Ahlgren
SNAME Maritime Convention, 2020
52020
Energy Integration of Organic Rankine Cycle, Exhaust Gas Recirculation and Scrubber
F Ahlgren, M Thern, M Genrup, ME Mondejar
Trends and Challenges in Maritime Energy Management, 157-168, 2018
42018
Reducing ships' fuel consumption and emissions by learning from data
F Ahlgren
Linnaeus University Press, 2018
32018
Sentiment Analysis of Students’ Feedback in MOOCs: A Systematic Literature Review
F Dalipi, K Zdravkova, F Ahlgren
Frontiers in Artificial Intelligence 4, 2021
12021
A social sustainability perspective on an environmental intervention to reduce ship emissions
F Ahlgren, C Österman
47th Annual Nordic Ergonomics Society Conference Creating Sustainable Work …, 2015
12015
Predicting Dynamic Fuel Oil Consumption on Ships with Automated Machine Learning
MT Fredrik Ahlgren, Maria E. Mondejar
10th International Conference on Applied Energy (ICAE2018), 22-25 August …, 2018
2018
Waste heat recovery in a cruise vessel
F Ahlgren
Linnaeus Universtity, 2016
2016
Gasens inverkan på oljan i ett hydrauliksystem
F Ahlgren, K Ahlgren
2009
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Artiklar 1–17