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Application of ATR-FTIR Spectroscopy to Compare the Cell Materials of Wood Decay Fungi with Wood Mould Fungi
(Journal article; Peer reviewed, 2015)Wood fungi create vast damage among standing trees and all types of wood materials. The objectives of this study are to (a) characterize the cell materials of two major wood decay fungi (Basidiomycota), namely, Trametes ... -
Application of Bayesian Networks in Distribution System Risk Management
(PMAPS 2008;, Chapter, 2008) -
Application of CFD on VIM of semi-submersible FOWT: A Case Study
(Peer reviewed; Journal article, 2023)This study examines the Vortex Induced Motions (VIM) of the INO WINDMOOR 12 MW semi-submersible Floating Offshore Wind Turbine (FOWT) platform using three-dimensional Computational Fluid Dynamics (CFD). The results from ... -
Application of chemical herders do not increase acute crude oil toxicity to cold-water marine species
(Peer reviewed; Journal article, 2022)Chemical herders may be used to sequester and thicken surface oil slicks to increase the time window for performing in situ burning of spilled oil on the sea surface. For herder use to be an environmentally safe oil spill ... -
Application of Coupling of CFD and Human and Clothing Thermal Response in Ceiling Mounted Localized Air Distribution Systems in Winter Conditions
(SINTEF Proceedings;5, Chapter; Peer reviewed; Conference object, 2020)This work presents and applies a numerical model, developed by the authors in the last years, that considers the coupling of the CFD (Computational Fluids Dynamics) and HCTR (Human and Clothing Thermal Response). The ... -
Application of HYPE in Norway
(SINTEF Energi. Rapport;2017:00737, Research report, 2017) -
Application of laser-arc hybrid welding of steel for low-temperature service
(Journal article; Peer reviewed, 2019)Laser-arc hybrid welding (LAHW) is more often used in shipbuilding and oil and gas industries in recent years. Its popularity arises due to many advantages compared to conventional arc welding processes. The laser beam ... -
Application of machine learning to the identification of quick and highly sensitive clays from cone penetration tests
(Peer reviewed; Journal article, 2020)Geotechnical classification is vital for site characterization and geotechnical design. Field tests such as the cone penetration test with pore water pressure measurement (CPTu) are widespread because they represent a ... -
Application of machine learning-based selective sampling to determine BaZrO3 grain boundary structures
(Peer reviewed; Journal article, 2019)A selective sampling procedure is applied to reduce the number of density functional theory calculations needed to find energetically favorable grain boundary structures. The procedure is based on a machine learning algorithm ... -
Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow
(Peer reviewed; Journal article, 2021)This paper investigates the application of Physics-Informed Neural Networks (PINNs) to inverse problems in unsaturated groundwater flow. PINNs are applied to the types of unsaturated groundwater flow problems modelled with ... -
Application of Polymethylpentene, an Oxygen Permeable Thermoplastic, for Long-Term on-a-Chip Cell Culture and Organ-on-a-Chip Devices
(Peer reviewed; Journal article, 2023)The applicability of a gas-permeable, thermoplastic material polymethylpentene (PMP) was investigated, experimentally and analytically, for organ-on-a-chip (OoC) and long-term on-a-chip cell cultivation applications. Using ... -
Application of radar data to estimate distributed return periods of extreme rainfall events over Trondheim
(SINTEF Energi. Rapport;, Research report, 2013)The return period of a given rainfall intensity is an important parameter for the Trondheim municipality since the drainage systems in Trondheim have been and are still being designed on the basis of a selected return ... -
Application of radio frequency identification tags for marking of fish gillnets and crab pots: Trials in the Norwegian Sea and the Barents Sea, Norway
(Peer reviewed; Journal article, 2022)Marking of fishing gear is an important step in reducing abandoned, lost, and discarded gear, thereby reducing the amount of plastic pollution in the sea. With the help of fishers in their daily work on the Norwegian coast, ... -
Application Of Refrigeration Technologies For Energy Efficient Production Of Fish Protein Hydrolysates
(Chapter; Peer reviewed, 2022)Fish protein hydrolysate (FPH) is one of the most efficient and sustainable way to recover the valuable nutrients from fish remaining materials and has a widespread application. However, the production of FPH demands ... -
Application of Three-Dimensional CFD Model to Determination of the Capacity of Existing Tyrolean Intake
(Peer reviewed; Journal article, 2024)CFD models of intakes in high-head hydropower systems are rare due to the lack of geometric data and cost of modeling. This study tests two different types of software to see how modeling can be performed in a cost-effective ... -
Application range of the HEM approach for CO2 expansion inside two-phase ejectors for supermarket refrigeration systems
(Peer reviewed; Journal article, 2015)In this study, the accuracy of the homogeneous equilibrium (HEM) applied to 3-D CFD-based simulations of CO2 expansion inside two-phase ejectors is presented. The HEM approach previously reported in the literature were ... -
Applications of Big Data and Data Science in the Electricity Distribution Grid - State-of-the-art
(SINTEF Rapport;, Research report, 2020)Almost every household in Norway has a smart electricity meter installed. The advanced functionality of the meters and the large amounts of data transmitted from them have the potential to contribute to more than just a ... -
Applications of Big Data and Data Science in the Electricity Distribution Grid - State-of-the-art
(SINTEF Rapport;2020:00530, Research report, 2020)Almost every household in Norway has a smart electricity meter installed. The advanced functionality of the meters and the large amounts of data transmitted from them have the potential to contribute to more than just a ... -
Applied Optimization at SINTEF
(Lecture, 2008) -
Applying Endogenous Learning Models in Energy System Optimization
(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 ...