Sindre Stenen Blakseth
About
My PhD work is focused on modelling transport tanks for liquid hydrogen using the Finite Element Method. I hold a Master of Science degree in Applied Physics from NTNU. In addition to my PhD position I also hold a part-time research position at SINTEF Energy Research, where I mainly work on other hydrogen/related technologies as well as digitalization.
Publications
2025
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Blakseth, Sindre Stenen;
Aasen, Ailo;
Massing, André Jürgen;
Nekså, Petter.
(2025)
Local area cooling versus broad area cooling for boil-off reduction in large-scale liquid hydrogen storage tanks.
Cryogenics (Guildford)
Academic article
2024
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Sørbø, Sondre;
Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2024)
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions.
Applied Soft Computing
Academic article
2023
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Blakseth, Sindre Stenen;
Andersson, Leif Erik;
Mocholí Montañés, Rubén ;
Mazzetti, Marit Jagtoyen.
(2023)
Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator.
Computer-aided chemical engineering
Academic article
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Belay, Mohammed Ayalew;
Blakseth, Sindre Stenen;
Rasheed, Adil;
Salvo Rossi, Pierluigi.
(2023)
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions.
Sensors
Academic article
2022
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Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2022)
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach.
Applied Soft Computing
Academic article
-
Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2022)
Deep neural network enabled corrective source term approach to hybrid analysis and modeling.
Neural Networks
Academic article
2021
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Blakseth, Sindre Stenen;
Rasheed, Adil.
(2021)
Introducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical Simulations.
Norwegian University of Science and Technology
Masters thesis
Journal publications
-
Blakseth, Sindre Stenen;
Aasen, Ailo;
Massing, André Jürgen;
Nekså, Petter.
(2025)
Local area cooling versus broad area cooling for boil-off reduction in large-scale liquid hydrogen storage tanks.
Cryogenics (Guildford)
Academic article
-
Sørbø, Sondre;
Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2024)
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions.
Applied Soft Computing
Academic article
-
Blakseth, Sindre Stenen;
Andersson, Leif Erik;
Mocholí Montañés, Rubén ;
Mazzetti, Marit Jagtoyen.
(2023)
Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator.
Computer-aided chemical engineering
Academic article
-
Belay, Mohammed Ayalew;
Blakseth, Sindre Stenen;
Rasheed, Adil;
Salvo Rossi, Pierluigi.
(2023)
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions.
Sensors
Academic article
-
Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2022)
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach.
Applied Soft Computing
Academic article
-
Blakseth, Sindre Stenen;
Rasheed, Adil;
Kvamsdal, Trond;
San, Omer.
(2022)
Deep neural network enabled corrective source term approach to hybrid analysis and modeling.
Neural Networks
Academic article
Report
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Blakseth, Sindre Stenen;
Rasheed, Adil.
(2021)
Introducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical Simulations.
Norwegian University of Science and Technology
Masters thesis
Outreach
2025
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Academic lectureBlakseth, Sindre Stenen; Aasen, Ailo; Espelund, Johan Raftevold; Høydalsvik, Eirik Jaccheri; Gjennestad, Magnus Aashammer. (2025) Analysis of thermal stratification and global heat and mass balance in cryogenic storage tanks. The 18th Cryogenics 2025, IIR Conference 2025-04-07 - 2025-04-11
2024
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Academic lectureBlakseth, Sindre Stenen; Gjennestad, Magnus Aashammer; Massing, André Jürgen. (2024) Coupled Thermoelasticity and Non-Local Radiation Modelling for Cryogenic Storage Vessels. ECCOMAS ECCOMAS Congress 2024 , Lisboa, Portugal 2024-06-03 - 2024-06-07
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Academic lectureBlakseth, Sindre Stenen; Aasen, Ailo; Massing, André Jürgen; Gjennestad, Magnus Aashammer. (2024) Thermal Performance Estimation Techniques for Liquid Hydrogen Containment Systems. SINTEF H2Science , Trondheim, Norge 2024-06-17 - 2024-06-19
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PosterBlakseth, Sindre Stenen; Aasen, Ailo; Massing, André Jürgen; Gjennestad, Magnus Aashammer. (2024) Modelling heat ingress in LH2 containment systems – thermal resistance networks vs. the finite element method. ICEC Organizing Committee Internation Cryogenic Engineering Conference 20 , Geneve, Sveits 2024-07-22 - 2024-07-26
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Academic lectureEspelund, Johan Raftevold; Gjennestad, Magnus Aashammer; Blakseth, Sindre Stenen; Netzer, Corinna. (2024) Assessment of turbulence models for evaporation and stratification in cryogenic storage tanks. American Physical Society 77th Annual Meeting of the Division of Fluid Dynamics , Salt Lake City, Utah, US 2024-11-24 - 2024-11-26
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LectureWindfeldt, Magnus Kyrre; Blakseth, Sindre Stenen; Bernardino, Lucas Ferreira; Falch, Håvard; Bucelli, Marta; Ayalew, Fekadu Belay. (2024) Digital Twin Project: Optimal Design and Operation of Compact Combined Cycles in Offshore Oil and Gas Installations. SINTEF Energi AS Technical Meeting 07 , Trondheim 2024-10-22 -
2023
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LectureBlakseth, Sindre Stenen. (2023) Modelling of a Nonlinear Contact Resistance in a Finite Element Framework. LH2 Pioneer web seminar 2023-09-14 -
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Academic lectureBlakseth, Sindre Stenen; Massing, André Jürgen. (2023) Modelling of Nonlinear Contact Resistance in a Finite Element Framework. ECCOMAS International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2023) , Chania, Kreta 2023-06-05 - 2023-06-07
2021
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PosterBlakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. (2021) Deep Neural Network Enabled Corrective Source Term Approach for Predictive Digital Twins. Norwegian Research Center for AI Innovation NorwAI Innovate Conference , Trondheim 2021-10-20 - 2021-10-20
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LectureAndersson, Leif Erik; Blakseth, Sindre Stenen. (2021) Surrogate Modelling for Digital Twin. SINTEF Energi DIGITAL TWIN Technical Meeting 01 , Trondheim 2021-12-01 - 2021-12-01