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Long-term performance of highly selective carbon hollow fiber membranes for biogas upgrading in the presence of H<inf>2</inf>S and water vapor
(Peer reviewed; Journal article, 2022)Biogas is an increasingly attractive renewable resource that needs to be upgraded to meet either the natural gas pipeline quality or the biomethane requirement. The use of carbon membranes is a promising alternative to ... -
Long-term prediction of fish growth under varying ambient temperature using a multiscale dynamic model
(Journal article; Peer reviewed, 2009)Background: Feed composition has a large impact on the growth of animals, particularly marine fish. We have developed a quantitative dynamic model that can predict the growth and body composition of marine fish for a ... -
Low temperature carbon dioxide capture by PEI-modified mesoporous silica: synthesis and performance analysis
(Master thesis, 2021)Mesoporøse silisiumdioksydmidler ble fremstilt ved forskjellige synteseforhold ved konvensjonelle sol-gel-metoder. De stive sfæriske silisiumdioksidene med høyt overflateareal og høy porøsitet i smal distribusjon ble ... -
Low Temperature Selective Hydrogenation Using Pd/Al2O3 Catalysts
(Master thesis, 2020) -
Low-energy properties of electrons and holes in CuFeS2
(Peer reviewed; Journal article, 2022)The antiferromagnetic semiconductor CuFeS2 belongs to a magnetic symmetry class that is of interest for spintronics applications. In addition, its crystal lattice is compatible with Si, making it possible to integrate it ... -
Low-Temperature Oxidation of Methane (CH4) and Carbon Monoxide (CO) over Pd/Al2O3 and Pd-Ag/Al2O3 Catalysts
(Master thesis, 2021)Oksidasjon av metan- og karbonmonoksid ved lave temperaturer blir sett på som lovende løsninger for å kunne møte fremtidens krav om utslippsredusering. Katalytiske systemer gjør det mulig, for eksempel, å omdanne forurensninger ... -
Lyotropic Liquid Crystals: CO2 Capture and Phase Behavior
(Doctoral theses at NTNU;2019:122, Doctoral thesis, 2019)The rising greenhouse gas emissions, in particular CO2, have contributed to an increase of the global temperature. In order to combat the severe effects of climate change, actions are being taken to favor a switch to low ... -
Machine Learning and First Principles Modeling Applied to Multiphase Flow Estimation
(Doctoral theses at NTNU;2020:407, Doctoral thesis, 2020)Accurate knowledge of multiphase flowrates produced by each well in an oil and gas production system is important for performing production optimization, flow assurance and reservoir management. Among the alternatives, ... -
Machine Learning and Image Processing for the Study of Fluid Particle Breakage in Turbulent Flow
(Master thesis, 2020)Hovedformålet med denne oppgaven er å lage maskinlæringsmodeller for bruk i en allerede eksisterende bildeanalysekode for å kunne spore oljedråper i en turbulent strøm av vann. I tillegg, har prosjektet som mål å beskrive ... -
Machine Learning Modelling of the Oxidative and Thermal Degradation of Monoethanolamine (MEA)
(Master thesis, 2021)Folketallet i verden vokser, noe som fører til en økning i forbruket av ressurser og utslipp av klimagasser. Som et resultat av dette øker konsentrasjonene av klimagasser i atmosfæren til farlige nivåer, og behovet for ... -
Macro- and micro scale phenomena in gas flotation for produced water treatment- the effect of fluid composition, temperature and pressure
(Doctoral theses at NTNU;2023:369, Doctoral thesis, 2023)Produced water, the primary waste product of the petroleum industry, contains harmful components that must be treated before discharge to the sea or reinjection. The focus of treatment has traditionally been on dispersed ... -
Magnetic Nanoparticles for Extraction of Naphthenic Acids from Model Oil
(Master thesis, 2015)The Master s thesis aims for synthesis of magnetic nanoparticles (MNP), silica-coated magnetic nanoparticles, and their application for extraction of naphthenic acids (NA) from model oil. The present work is a part of a ... -
Magnetic Polymeric Nanoparticles for Biomedical Applications
(Master thesis, 2021)Iron Oxide Nanoparticles (IONPs) have been extensively used in different applications including biomedicine, hydrology, and catalysis. This is because IONPs have excellent physico-chemical properties like superparamagnetism. ... -
Manipulating Gold Spatial Location on Titanium Silicalite-1 To Enhance the Catalytic Performance for Direct Propene Epoxidation with H2 and O2
(Journal article; Peer reviewed, 2018)Engineering Au spatial locations on support harbors tremendous potential to boost catalytic performance but still remains a scientific and technological challenge. Herein, we devise a strategy to manipulate Au spatial ... -
Manipulation of Fibril Surfaces in Nanocellulose-Based Facilitated Transport Membranes for Enhanced CO2 Capture
(Peer reviewed; Journal article, 2019)The transition toward sustainable processing entails the use of biobased alternatives as functional materials to reduce the overall carbon footprint. Nanocellulose, due to its natural availability, biodegradability, excellent ... -
Mapping Diluents for Water-Lean Solvents: A Parametric Study
(Peer reviewed; Journal article, 2020)Water-lean solvents are typically defined as mixtures between an organic diluent and an amine. These solvents are thought to deliver potential benefits in CO2 capture systems, such as enhanced mass transfer properties, ... -
Mapping of Vapor-Liquid Equilbrium Data for: 1,3-diaminopropane (1,3-DAP) - Experiments and modeling
(Master thesis, 2014)Et nytt sett av datapunkter for et tærnert damp-væske likevektssystem av H2O, CO2 and 1,3-diaminopropan (1,3-DAP) er kartlagt i dette arbeidet. Dataene ble funnet ved bruk av to type apparaturer, der faselikevekt og kjemisk ... -
Mass transfer study for carbon dioxide capture in a gas-liquid membrane contactor
(Master thesis, 2011)Emission of green house gases especially CO2 has become a major environmental issue. In order to control and reduce the CO2 emissions, carbon capture and storage (CCS) is an important tool. Removal of acidic gases by ... -
Materialstrømanalyse for aluminium i Norge
(Master thesis, 1998)Oppgavens hovedformål har vært å kartlegge materialflyten av aluminium i Norge. Hensikten med en slik kartlegging var å drøfte dagens og fremtidens resirkuleringsgrad i relasjon til teknologisk løsning og økologisk ... -
Mathematical Modeling and Process Parametric Study of CO2 Removal from Natural Gas by Hollow Fiber Membranes
(Journal article; Peer reviewed, 2019)Hollow fiber membranes show a great potential in natural gas sweetening by removing CO2 to meet gas grid specifications. A membrane model with high prediction accuracy is developed to model multicomponent gas transport ...