Browsing SINTEF Open by Author "Ouassou, Jabir Ali"
Now showing items 1-5 of 5
-
Applying Endogenous Learning Models in Energy System Optimization
Ouassou, Jabir Ali; Straus, Julian; Fodstad, Marte; Reigstad, Gunhild Allard; Wolfgang, Ove (Peer reviewed; Journal article, 2021)Conventional energy production based on fossil fuels causes emissions that contribute to global warming. Accurate energy system models are required for a cost-optimal transition to a zero-emission energy system, which is ... -
A combined fluid-dynamic and thermodynamic model to predict the onset of rapid phase transitions in LNG spills
Lervåg, Karl Yngve; Skarsvåg, Hans Langva; Aursand, Eskil; Ouassou, Jabir Ali; Hammer, Morten; Reigstad, Gunhild Allard; Ervik, Åsmund; Fyhn, Eirik Holm; Gjennestad, Magnus Aashammer; Aursand, Peder; Wilhelmsen, Øivind (Peer reviewed; Journal article, 2020)Transport of liquefied natural gas (LNG) by ship occurs globally on a massive scale. The large temperature difference between LNG and water means LNG will boil violently if spilled onto water. This may cause a physical ... -
Constrained adaptive sampling for domain reduction in surrogate model generation: Applications to hydrogen production
Straus, Julian; Ouassou, Jabir Ali; Knudsen, Brage Rugstad; Anantharaman, Rahul (Peer reviewed; Journal article, 2021)We propose a new approach for sampling domain reduction for efficient surrogate model generation. Currently, the standard procedure is to use box constraints for the independent variables when sampling the exact simulator. ... -
Impact of uncertainties on the design and cost of CCS from a waste-to-energy plant
Roussanaly, Simon; Ouassou, Jabir Ali; Anantharaman, Rahul; Haaf, Martin (Peer reviewed; Journal article, 2020) -
Introducing global learning in regional energy system models
Straus, Julian; Ouassou, Jabir Ali; Wolfgang, Ove; Reigstad, Gunhild Allard (Peer reviewed; Journal article, 2021)