Blar i Institutt for energi og prosessteknikk på tittel
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Curvature effects on NO formation in wrinkled laminar ammonia/hydrogen/nitrogen-air premixed flames
(Peer reviewed; Journal article, 2021)The formation of nitrogen oxide (NO) in wrinkled laminar NH3/H2/N2-air premixed flames is investigated utilizing two-dimensional Direct Numerical Simulation (DNS) with detailed chemical kinetics as well as one-dimensional ... -
Curved Boundary Conditions for the Lattice Boltzmann Method
(Master thesis, 2011)The lattice Boltzmann method is a modern method in computational fluid dynamics. Its primary use is the simulation of incompressible flows. It has computational advantages over conventional methods like the finite volume ... -
Cuttings Transport Modeling - Part 1: Specification of Benchmark Parameters with a Norwegian Continental Shelf Perspective
(Journal article; Peer reviewed, 2018)In oil and gas drilling, cuttings transport related problems are a major contributor to well downtime and costs. As a result, solutions to these problems have been extensively researched over the years, both experimentally ... -
Cuttings transport: On the effect of drill pipe rotation and lateral motion on the cuttings bed
(Peer reviewed; Journal article, 2020)Drill pipe rotation is considered a relevant factor for cuttings transport and hole cleaning. However, in the term “rotation” is often used as a moniker for the combination of plain drill pipe rotation around its own axis ... -
Dampening of wood batch combustion heat release using a phase change material heat storage: Material selection and heat storage property optimization
(Journal article; Peer reviewed, 2016)The use of wood stoves for space heating in energy effective residential buildings can be problematic due to the batch combustion giving a highly transient heat production and the limited regulation of the combustion ... -
Dampgenerering i en solfanger
(Master thesis, 2013)Av praktiske og kulturelle årsaker har ikke tradisjonelle solkokere blitt implementert i landlige områder i afrikanske land. I områder med dårlig eller ikke-eksisterende strømnett blir mye tid brukt på å finne biodrivstoff ... -
Damping Measurements on a Multi-Blade Cascade with Multiple Degrees of Freedom: A Francis-99 Test Case
(Journal article; Peer reviewed, 2019)Due to thinner blades and higher demands for flexibility, the high-head Francis runners designed today face considerable challenges that severely affect the runners' expected lifetime. For many high-head Francis runners, ... -
Data and spatial analysis of the energy use of building stocks. Case study of non-residential buildings in Trondheim
(Master thesis, 2019)Redusere utslipp og øke effektiviteten av menneskelige aktiviteter ligger øverst på forskning og politiske dagsordener. Endringer i energisystemet er nødvendige hvis vi ønsker å nå målene og målene som er satt for å redusere ... -
Data fusion heat pump performance estimation
(Journal article, 2011)The aim of the study was to develop improved measurements on heat pump performance. A model-based approach was combined with data fusion technique to estimate performance of a heat pump. These improved heat pump performance ... -
Data informed physical models for district heating grids with distributed heat sources to understand thermal and hydraulic aspects
(Peer reviewed; Journal article, 2021)The aim of the study was to develop data informed physical models for simulation of district heating (DH) grids for better presentation of hydraulic and thermal aspects in the DH grids integrating heat prosumers. A DH grid ... -
Data pre-processing and optimization techniques for stochastic and deterministic low-order grey-box models of residential buildings
(Journal article; Peer reviewed, 2021)Grey-box models are data-driven models where the structure is defined by the physics while the parameters are calibrated using data. Low-order grey-box models of the building envelope are typically used for two main ... -
Data-driven analysis of electricity use for office buildings: a Norwegian case study
(Peer reviewed; Journal article, 2021)Buildings are major consumers of primary energy and main contributors to carbon emission. To improve energy efficiency, it is essential to understand the characteristics of energy use in buildings. This study uses an in-use ... -
Data-driven approaches for modelling of sub-critical coal-fired boiler
(Chapter, 2022)Due to increasing shares of renewable electricity sources in the grid, thermal power plants need to operate in a more flexible manner in the future. This will involve more frequent startups, shutdowns, and load changes. A ... -
Data-driven modeling of a CO2 refrigeration system
(Peer reviewed; Journal article, 2019)This paper describes a data-driven method for system identification of a CO 2 refrigeration system. Traditionally, the interaction between the measured variables is not utilized as they are highly dependent on the refrigeration ... -
Data-driven modelling of a R744 refrigeration system with parallel compression configuration
(Chapter, 2019)The type and characteristics of the employed components, subsystems and refrigerant in a commercial refrigeration system varies significantly depending on required functionalities (e.g. MT (medium temperature), LT (low ... -
Data-driven models of solvent oxidative degradation for post combustion CO2 capture process
(Master thesis, 2022)Many measures have been taken to combat climate change. Amine-based carbon capture technology plays an essential role in the reduction of CO2 emissions. However, one issue of this technology is solvent degradation. There ... -
Data-Driven Real-Time Price-Based Demand Response for Industrial Facilities Energy Management
(Journal article; Peer reviewed, 2021)Recent advances in smart grid technologies have highlighted demand response (DR) as an important tool to alleviate electricity demand–supply mismatches. In this paper, a real-time price (RTP)-based DR algorithm is proposed ... -
Day-Ahead Prediction of Plug-In Loads Using a Long Short-Term Memory Neural Network
(Peer reviewed; Journal article, 2021)The aim of this work is to develop and validate a miscellaneous electric loads (MEL) predictive model that does not require occupant-wise or building-wise model training nor model adaptation while achieving competitive ... -
Decarbonization pathways for the residential sector in the United States
(Peer reviewed; Journal article, 2022)Residential GHG emissions in the United States are driven in part by a housing stock where onsite fossil combustion is common, home sizes are large by international standards, energy efficiency potential is large and ... -
Decision Making Methodology for the Selection of Gas-liquid Separators
(Master thesis, 2012)Gas liquid separation is a critical operation in many industries, including the gas and oil industry. In fact, costly equipment like heat exchangers and compressors rely on the good performance of gas scrubbers. In the ...