Now showing items 1225-1244 of 6018

    • D2.3.01/02/04 Sensors for condition monotoring of different componenets of (offshore-)wind power plants 

      Vogl, Andreas; Østbø, Niels Peter; Bjerkan, Leif; Jørgensen, Jens Kjær (SINTEF Rapport;, Research report, 2012)
      In this report an overview is given over condition monitoring (CM) and structural health monitoring(SHM) for offshore wind turbines with a special focus on two innovative sensor types – Fiber Bragg Grating (FBG) and ...
    • D3.1 Fishery Pilot Definition 

      Granholm, Göran; Aarsæther, Karl Gunnar; Uriondo, Zigor; Quincozes, Iñaki; Jensen, Jørgen Haavind; Haugen, Joakim (Data-Driven Bioeconomy;D3.1, Research report, 2017-10-20)
      The objective of WP3 Fishery Pilot is to demonstrate how Big Data can boost the fishery sector. The Fishery Pilot focus is on two separate types of fisheries in two countries: Oceanic Tuna fisheries in Spain and small ...
    • D5.4 State of the art - MACROSEA WP5 

      Alver, Morten; Solvang, Torfinn; Dybvik, Henrikke (SINTEF Ocean rapporter;2018:00045, Research report, 2018-01-18)
      The objective of the MACROSEA project is to facilitate industrial scale cultivation of seaweed in Norway. To achieve efficient large scale cultivation, development of cultivation technology is an important component, and ...
    • D7.5 Final infrastructure Development plan 

      Malin, Minna; Auvinen, Heidi; Tukiainen, Pauliina; Härkönen, Mika; Jussila, Ari; Halvorsen, Trond; Vik, Lars Harald; Nikkanen, Ville; Hedeler, Barbara; de Buyn, Frederik (Research report, 2018)
      ERIFORE – European Research Infrastructure for Circular Forest Bioeconomy – has been an Infradev-1 project (GA No 654371, 1.1.2016 – 31.1.2018) under Horizon 2020 Framework Programme. The future mission of the ERIFORE ...
    • Dagboksprosjektet. Tilbakeskuende del. Evaluering av plan- og bygningsloven 

      Bonnevie-Svendsen, Morten (Prosjektrapport (Norges Byggforskningsinstitutt);281, Research report, 2000)
    • Dagslys i rehabiliterte boliger 

      Haase, Matthias; Lolli, Nicola; Gruner, Michael (SINTEF Notat;, Research report, 2017)
      Målsetningen med prosjektet er å finne svar på hvordan rehabilitering påvirker dagslysnivået og hvordan dagslysforhold påvirker energibehovet. Kompetansetilskuddet skal gå til å evaluere dagslysforhold i tre case-bygninger, ...
    • Damages in Wooden Roofs over heated rooms 

      Isaksen, Trygve (Særtrykk (Norges byggforskningsinstitutt);120, Others, 1966)
    • Dampness and Moisture Problems in Norwegian Homes 

      Becher, Rune; Høie, Anja Hortemo; Bakke, Jan Vilhelm; Holøs, Sverre Bjørn; Øvrevik, Johan (Journal article; Peer reviewed, 2017)
      The occurrence of dampness and mold in the indoor environment is associated with respiratory-related disease outcomes. Thus, it is pertinent to know the magnitude of such indoor environment problems to be able to estimate ...
    • Dampsperrer i tak 

      Noreng, Knut (Prosjektrapport (Norges Byggforskningsinstitutt);190, Research report, 1995)
    • Dampsperrer, punktert av mekaniske festemidler. Måling av luftgjennomgang 

      Askeland, Arnold (Prosjektrapport (Norges Byggforskningsinstitutt);111, Research report, 1992)
    • Data analysis on marine engine operating regions in relation to ship navigation 

      Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Peer reviewed, 2016-12-01)
      Data analysis techniques to understand marine engine operating regions as a part of the ship energy efficiency management plan (SEEMP) are proposed in this study. The SEEMP enforces to improve ship energy efficiency under ...
    • Data assimilation with SINMOD 

      Alver, Morten; Michelsen, Finn Are (SINTEF Fiskeri og havbruk;A26953, Research report, 2015-05-20)
      Data assimilation is the process of using measured data to correct the state of a mathematical model. This report documents the data assimilation process implemented in the ocean model system SINMOD, and the tests that ...
    • Data capture and real-time data quality analysis 

      Kelasidi, Eleni; Schellewald, Christian; Yip, Mauhing; Remmen, Bjørnar Moe (SINTEF Ocean rapporter;OC2020 A-033, Research report, 2020)
      This report presents results obtained in the CageReporter project regarding the development of a 3D vision system to be used for data capture in fish cages. The developed system enables to obtain high-quality data with the ...
    • Data Centres Infrastructure Energy Efficiency. State of the art 

      Sartori, Igor (Research report, 2010-12-17)
      The state of the art report focuses on the Heating, Ventilation and Air Conditioning (HVAC) systems energy efficiency. For planning and operational purposes the data centre infrastructure is seen in a physical perspective ...
    • Data for bokvalitet i nye byboliger 

      Christophersen, Jon (Prosjektrapport (Norges Byggforskningsinstitutt);102, Research report, 1992)
    • Data Handling in Knowledge Infrastructures: A Case Study from Oil Exploration 

      Mikalsen, Marius; Monteiro, Eric (Journal article; Peer reviewed, 2018)
      Offshore oil exploration is concerned with subsea geological reservoirs that are numerous kilometers below the seabed. These reservoirs are knowable only through a knowledge infrastructure of interconnected technologies ...
    • Data preparation as a service based on Apache Spark 

      Mahasivam, Nivethika; Nikolov, Nikolay; Sukhobok, Dina; Roman, Dumitru (Journal article; Peer reviewed, 2017)
      Data preparation is the process of collecting, cleaning and consolidating raw datasets into cleaned data of certain quality. It is an important aspect in almost every data analysis process, and yet it remains tedious and ...
    • Data-based calibration of physics-based thermal models of single-family houses 

      Amato, Virginia; Knudsen, Michael Dahl; Petersen, Steffen (SINTEF Proceedings;5, Chapter; Peer reviewed, 2020)
      The calibration of building energy simulation models is crucial for addressing the issue of the discrepancy between the simulation output and real-world measurements. The majority of current research studies have used ...
    • Data-driven deconvolution for large eddy simulations of Kraichnan turbulence 

      Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash (Journal article; Peer reviewed, 2018)
      In this article, we demonstrate the use of artificial neural networks as optimal maps which are utilized for convolution and deconvolution of coarse-grained fields to account for sub-grid scale turbulence effects. We ...
    • Data-driven Household Load Flexibility Modelling: Shiftable Atomic Load 

      Degefa, Merkebu Zenebe; Sæle, Hanne; Petersen, Idar; Ahcin, Peter (Chapter; Peer reviewed, 2018)
      To keep a stable power system, there should always be balance between the generation and consumption of electricity. In this study, a flexibility modelling method for atomic loads which is based on high resolution appliance ...