Jabir Ali Ouassou

Forsker

Jabir Ali Ouassou

Forsker

Telefon: 453 97 367

E-post:

Enhet: SINTEF Energi AS

Avdeling: Gassteknologi

Kontorsted: Trondheim

Publikasjoner og ansvarsområder

Forfattere Karl Yngve Lervåg Hans Langva Skarsvåg Eskil Aursand Jabir Ali Ouassou Morten Hammer Gunhild Allard Reigstad Åsmund Ervik Eirik Holm Fyhn Magnus Aashammer Gjennestad Peder Aursand Øivind Wilhelmsen

År 2020

Type Vitenskapelig artikkel

Forfattere Simon Roussanaly Jabir Ali Ouassou Rahul Anantharaman Martin Haaf

År 2020

Type Vitenskapelig artikkel

Forfattere Simon Roussanaly Jabir Ali Ouassou Rahul Anantharaman

År 2019

Type Faglig foredrag

Forfattere Simon Roussanaly Rahul Anantharaman Jabir Ali Ouassou Vegard Bjerkevedt Asgeir Tomasgard

År 2019

Type Faglig foredrag

Forfattere Julian Straus Jabir Ali Ouassou Brage Rugstad Knudsen Rahul Anantharaman

År 2019

Type Rapport

Forfattere Julian Straus Jabir Ali Ouassou Brage Rugstad Knudsen Rahul Anantharaman

År 2019

Type Vitenskapelig foredrag

Forfattere Julian Straus Jabir Ali Ouassou Brage Rugstad Knudsen Rahul Anantharaman

År 2019

Type Faglig foredrag

Forfattere Simon Roussanaly Jabir Ali Ouassou Rahul Anantharaman

År 2019

Type Vitenskapelig foredrag

Jabir Ali Ouassou

Forsker

Jabir Ali Ouassou

Forsker

Publikasjoner og ansvarsområder

A combined fluid-dynamic and thermodynamic model to predict the onset of rapid phase transitions in LNG spills

Impact of uncertainties on the design and cost of CCS from a waste-to-energy plant

Design of post-combustion CCS from a waste-to-energy plant under uncertainties and fluctuations

Pitch NCCS Task 1: Design of CCS chain under uncertainties and fluctuations

Surrogate model generation for hydrogen production from natural gas

Sampling domain reduction for surrogate model generation – Applied to H2 production with CO2 capture

Consumet: Constructor of surrogates and metamodels

Design of post-combustion CCS from a waste-to-energy plant under uncertainties and fluctuations

Sampling domain reduction for surrogate model generation – Applied to H₂ production with CO₂ capture