Browsing NTNU Open by Title
Now showing items 59644-59663 of 100788
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Model Development and Performance Analysis of an R290 Direct Expansion Solar Assisted Heat Pump System using PVT.
(Master thesis, 2022)Når nye politisk styrende strategier for å stoppe økningen av globale utslipp utvikles og implementeres, får energibruk i bygningssektoren større fokus. Å utvikle og bruke grønne energiløsninger blir derfor i enda større ... -
Model Development for coordination of flexibility resources in grid connected Local Energy Communities
(Master thesis, 2022)De siste tiårene har det vært en rask økning i mengden ikke regulerbare energiressurser i den europeiske kraftmiksen, noe som har ført til et behov for nye måter å kontrollere kraftmarkedet på. Disse nye kraftressursene ... -
Model Development for DSO-TSO Coordination in a Local Flexibility Market
(Master thesis, 2021)Denne masteroppgaven har som hovedmål å utvikle en flerperiodisk hybrid AC/DC-OPF modell som et planleggingsverktøy i et lokalt fleksibilitetsmarked. Intensjonen med markedet er å opprette en plattform for transmisjons og ... -
Model Development for DSO-TSO Coordination in a Local Flexibility Market
(Master thesis, 2021)Denne masteroppgaven har som hovedmål å utvikle en flerperiodisk hybrid AC/DC-OPF modell som et planleggingsverktøy i et lokalt fleksibilitetsmarked. Intensjonen med markedet er å opprette en plattform for transmisjons og ... -
Model Development for Optimal Operation of the District Heating Facilities of Fortum Oslo Varme - Using Genetic Algorithm, Recurrent Neural Network and Multiple Linear Regression
(Master thesis, 2018)Recent development in the energy sector in Norway has made district heating increasingly relevant. In particular, the increased demand for electric power, has contributed to make district heating more important. A well ... -
Model Driven Development of Web Application with SPACE Method and Tool-suit
(Master thesis, 2010)Enterprise level software development using traditional software engineeringapproaches with third-generation programming languages is becoming morechallenging and cumbersome task with the increased complexity of ... -
Model Driven Enterprise Analysis: A model-driven tool-assisted process for criticality and availability analysis of enterprise systems
(Master thesis, 2006)Today more and more companies acquire enterprise-scale solutions for their organization. Enterprise-scale solutions connect departments and business functions in the organization in order to facilitate the coordination, ... -
Model for creep failure with healing
(Journal article; Peer reviewed, 2022) -
Model for Detecting Flaws in Railway Rails using Machine Learning
(Master thesis, 2019)Jernbaneselskap ansvarlige for infrastrukturen til jernbanen hyrer inspeksjonsfirmaer til å inspisere skinnene for å finne defekter. Inspeksjonsfirmaene bruker tog til å skanne skinnene ved hjelp av ultralyd i relativt ... -
Model for dimensioning required area for snow banks - A study of snow bank parameters
(Master thesis, 2017)After snow events, winter maintenance crews typically plow snow from the driving lanes to the side of the road, creating snow banks. Snow banks may impact cyclists and pedestrians as sidewalks are often used for temporary ... -
Model for evaluating drilling efficiency based on the concept of Mechanical Specific Energy
(Master thesis, 2016)Systems to increase efficiency during drilling is desirable in order to have more costeffective well operations. This master s thesis studies the possibility to present new information real-time regarding the actual drilling ... -
A model for guidance and reflection in practice studies for nursing students
(Peer reviewed; Journal article, 2021)A qualitative study conducted at a university in Norway examines how a guidance model can affect students’ learning situations in practice studies in specialised health care. Different factors in practice studies can affect ... -
Model for handling uncertainty management in production with elements of engineering change management.
(Master thesis, 2017)This thesis examines combined fields of Engineering Change Management in production, Uncertainty concepts and aspects of decision making. The main objective of this research is to identify uncertainty in production phase, ... -
Model for Kick Tolerance
(Master thesis, 2012)Kick Tolerance is an important factor in the industry, that allows drilling engineers to establish several parameters in the development phase of a well, such as casing depths, open hole lengths, etc. It can also be ... -
Model for Load Analysis at Granåsen
(Master thesis, 2018)Granåsen ski arena had in 2017 a total energy consumption of 1036.4 MWh, and a maximum power peak of 986 kW. During the next years, Granåsen is facing a comprehensive expansion, which will lead to increased energy and power ... -
Model for Prediction of Cement Sheath Failure
(Master thesis, 2016)In casing design, the casing is required to withstand all loads it is exposed to during the well life. These loads are normally modeled in an industry leading software (ILS), which determines whether the casing can withstand ... -
A Model for Research of Transitions among Different Care Settings in Smart Lifetime Neighborhoods
(Peer reviewed; Journal article, 2022)Neighbourhoods in EU member states are ageing, increasingly becoming the subjects of geo-gerontology and supply network analyses. Geo-gerontological aspects of the care and supply networks are becoming essential in the ... -
Model for Severe Riser Slugging in Phyton
(Master thesis, 2020)Severe slugging is the condition at which the liquid slugs are formed and violently blow out from the riser. It may lead to an unstable flow rate, causing the fluctuation of the gas production. Thus, it should be avoided ... -
Model for Simulating Large Wave Regime in Gas-Liquid Pipe Flow
(Master thesis, 2014)Multiphase transport in the oil industry is becoming important as new oil and gas fields which are discovered often are less accessible. Multiphase transportation is required over longer distances at deeper sea levels, and ... -
Model fusion with physics-guided machine learning: Projection-based reduced-order modeling
(Journal article; Peer reviewed, 2021)The unprecedented amount of data generated from experiments, field observations, and large-scale numerical simulations at a wide range of spatiotemporal scales has enabled the rapid advancement of data-driven and especially ...