Sindre Stenen Blakseth
Om
Som stipendiat jobber jeg med modellering av transporttanker for flytende hydrogen ved bruk av elementmetoden. Jeg har bakgrunn som sivilingeniør i teknisk fysikk fra NTNU. Ved siden av stipendiatstillingen har jeg en forskningsstilling hos SINTEF Energi hvor jeg jobber med utvikling av teknologi relatert til utvikling av hydrogenrelatert teknologi og digitalisering.
Publikasjoner
2026
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Blakseth, Sindre Stenen;
Massing, André Jürgen;
Kvamsdal, Trond;
Gjennestad, Magnus Aashammer.
(2026)
Computational Modelling of Heat Transfer in Liquid Hydrogen Containment Systems.
Norges teknisk-naturvitenskapelige universitet
Doktoravhandling
2025
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Belay, Mohammed Ayalew;
Ferreira Bernardino, Lucas;
Blakseth, Sindre Stenen;
Rasheed, Adil;
Montañés, Rubén Mocholí;
Salvo Rossi, Pierluigi.
(2025)
Unsupervised Leak Detection for Heat Recovery Steam Generators in Combined-Cycle Gas and Steam Turbine Power Plants.
IEEE Sensors Journal
Vitenskapelig artikkel
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Aasen, Ailo;
Blakseth, Sindre Stenen.
(2025)
Screening of waste-heat-driven ejector chillers using a state-based ejector model validated against industrial performance data.
International journal of refrigeration
Vitenskapelig artikkel
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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)
Vitenskapelig artikkel
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Blakseth, 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.
Science et technique du froid
Vitenskapelig artikkel
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Aasen, Ailo;
Blakseth, Sindre Stenen;
Massing, André Jürgen;
Nekså, Petter;
Gjennestad, Magnus Aashammer.
(2025)
Thermal performance estimation for cryogenic storage tanks: Application to liquid hydrogen.
International Journal of Hydrogen Energy
Vitenskapelig artikkel
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
Vitenskapelig artikkel
2023
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Blakseth, Sindre Stenen;
Andersson, Leif Erik;
Montañés, Rubén Mocholí;
Mazzetti, Marit Jagtoyen.
(2023)
Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator.
Computer-aided chemical engineering
Vitenskapelig artikkel
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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
Vitenskapelig artikkel
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
Vitenskapelig artikkel
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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
Vitenskapelig artikkel
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.
Norges teknisk-naturvitenskapelige universitet
Masteroppgave
Tidsskriftspublikasjoner
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Belay, Mohammed Ayalew;
Ferreira Bernardino, Lucas;
Blakseth, Sindre Stenen;
Rasheed, Adil;
Montañés, Rubén Mocholí;
Salvo Rossi, Pierluigi.
(2025)
Unsupervised Leak Detection for Heat Recovery Steam Generators in Combined-Cycle Gas and Steam Turbine Power Plants.
IEEE Sensors Journal
Vitenskapelig artikkel
-
Aasen, Ailo;
Blakseth, Sindre Stenen.
(2025)
Screening of waste-heat-driven ejector chillers using a state-based ejector model validated against industrial performance data.
International journal of refrigeration
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
Blakseth, Sindre Stenen;
Andersson, Leif Erik;
Montañés, Rubén Mocholí;
Mazzetti, Marit Jagtoyen.
(2023)
Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator.
Computer-aided chemical engineering
Vitenskapelig artikkel
-
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)
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
-
Blakseth, 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.
Science et technique du froid
Vitenskapelig artikkel
-
Aasen, Ailo;
Blakseth, Sindre Stenen;
Massing, André Jürgen;
Nekså, Petter;
Gjennestad, Magnus Aashammer.
(2025)
Thermal performance estimation for cryogenic storage tanks: Application to liquid hydrogen.
International Journal of Hydrogen Energy
Vitenskapelig artikkel
-
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
Vitenskapelig artikkel
Studentoppgave eller avhandling
-
Blakseth, Sindre Stenen;
Massing, André Jürgen;
Kvamsdal, Trond;
Gjennestad, Magnus Aashammer.
(2026)
Computational Modelling of Heat Transfer in Liquid Hydrogen Containment Systems.
Norges teknisk-naturvitenskapelige universitet
Doktoravhandling
-
Blakseth, Sindre Stenen;
Rasheed, Adil.
(2021)
Introducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical Simulations.
Norges teknisk-naturvitenskapelige universitet
Masteroppgave
Formidling
2025
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KonferanseforedragBlakseth, 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
2024
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KonferanseforedragEspelund, Johan Raftevold; Gjennestad, Magnus Aashammer; Blakseth, Sindre Stenen; Netzer, Corinna. (2024) Assessment of turbulence models for evaporation and stratification in cryogenic storage tanks. 77th Annual Meeting of the Division of Fluid Dynamics
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KonferanseposterBlakseth, 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. Internation Cryogenic Engineering Conference 20
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KonferanseforedragBlakseth, Sindre Stenen; Gjennestad, Magnus Aashammer; Massing, André Jürgen. (2024) Coupled Thermoelasticity and Non-Local Radiation Modelling for Cryogenic Storage Vessels. ECCOMAS Congress 2024
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KonferanseforedragBlakseth, Sindre Stenen; Aasen, Ailo; Massing, André Jürgen; Gjennestad, Magnus Aashammer. (2024) Thermal Performance Estimation Techniques for Liquid Hydrogen Containment Systems. H2Science
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ForedragWindfeldt, Magnus Kyrre; Blakseth, Sindre Stenen; Bernardino, Lucas Ferreira; Falch, Håvard; Bucelli, Marta; Ayalew, Fekadu Belay; Salvo Rossi, Pierluigi; Andersson, Leif Erik; Skaugen, Geir; Montañés, Rubén Mocholí. (2024) Digital Twin Project: Optimal Design and Operation of Compact Combined Cycles in Offshore Oil and Gas Installations. Technical Meeting 07
2023
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KonferanseforedragBlakseth, Sindre Stenen; Massing, André Jürgen. (2023) Modelling of Nonlinear Contact Resistance in a Finite Element Framework. International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2023)
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ForedragBlakseth, Sindre Stenen. (2023) Modelling of a Nonlinear Contact Resistance in a Finite Element Framework. LH2 Pioneer web seminar
2021
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ForedragAndersson, Leif Erik; Blakseth, Sindre Stenen. (2021) Surrogate Modelling for Digital Twin. DIGITAL TWIN Technical Meeting 01
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KonferanseposterBlakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer. (2021) Deep Neural Network Enabled Corrective Source Term Approach for Predictive Digital Twins. NorwAI Innovate Conference