Et utvalg av IFEs forskningsprosjekter

Menneske, teknologi og organisasjon

Advanced Control [2009-2014]
The goal of the Advanced Control project was to investigate how to take full benefit of various operation support systems when integrated into advanced control systems, while exploring the different modes of integration.
The ALADDIN project aims at the study and development of flexible, accurate, and reliable event identification and fault diagnosis techniques for machinery and processes. The final goal is the development of a software module that can be easily integrated/interfaced with other existing Computerized Operator Support Systems (COSS).
COAST - Alarm System Toolbox
Alarm systems are essential elements for achieving safe, reliable and efficient operation of complex, dynamic processes. Based on long experience in design and implementation of alarm systems, IFE has developed the Computerized Alarm Systems Toolbox, COAST, which offers improved flexibility in configuring plant-specific alarm systems. COAST combines proven methods and technology in a design approach that results in an object-oriented alarm system.
COPMA (Computerised OPerating MAnuals)
COPMA-III is a software tool for supporting the use and development of Computerised Procedure Systems (CPS). COPMA-III has been used in human performance experiments in IFEs human-machine laboratory HAMMLAB and is also part of the permanent alarm display system in the laboratory.
Diagnostic Decision Support [2012-2017]
The goal of the Diagnostic Decision Support project has been to investigate goal- and function-oriented modelling and qualitative reasoning to automate the diagnosis and prognosis process.
Dynamic RadIation Visualisation Engine - DRIVE 2011-2013
The Norwegian Ministry of Foreign Affairs (NMFA) decided in December 2010 to fund a new project for the 2011-2013 timeframe. The tittle of the project was “Dynamic RadIation Visualisation Engine” (DRIVE). The participants were Institute for energy technology (IFE) and Federal Medical Biological Center (FMBC), who was a subcontractor to IFE. In addition participated the operator of Andreeva Bay, SevRAO, and the local regulator, FMBA-120. The DRIVE project utilized results and experiences from the existing and continued DOSEMAP and DATAMAP projects by using IFE tools to enhance regulatory supervision and safety planning in the Andreeva Bay area. That was achieved by developing tools for the optimization of the waste management strategy and by improving radiation safety through better worker radiation awareness in the Andreeva Bay premises.
IFE fortsetter forskningssamarbeidet med svenske og finske kjernekraftverk om alarmsystem
IntelliSense is a project supported by the Norwegian Research Council within the FORNY programme and represents an application and possibly a commercialization of the Empirical Ensemble-based Virtual Sensing (EEVS) technology recently developed at IFE. The EEVS is the result of over a decade of research in the use of empirical modelling for condition monitoring and fault detection in complex industrial processes, such as the nuclear power industry and the oil & gas industry.
IO Center - Integration Across Disciplines
IFE er i samarbeid med SINTEF og NTNU utpekt som Senter for Forskningsbasert Innovasjon (SFI) innen Integrerte Operasjoner (olje og gass) av Forskningsrådet. Senteret skal utvikle ny kunnskap, metoder og løsninger innen dette viktige område.
LKAB Kiruna
Det internasjonale høyteknologiske mineralkonsernet LKAB har gjennom flere år brukt human factors-ekspertisen hos IFE. I det siste prosjektet bistår IFE med HF/HSI-kompetanse (Human Factors/Human System Interface) i forbindelse med byggingen av det nye anrikningsverket og det nye kulsinterverket i Kiruna i Sverige.
PEANO is a signal validation toolbox developed at Halden in the years 1995-98. It is based on neuro-fuzzy techniques and is able to track in real-time the expected behaviour of a complex process both in steady state and transient conditions. PEANO implements a fuzzy and possibilistic clustering algorithm to classify the operating region where the validation process has to be performed. The possibilistic approach (rather than probabilistic) allows a "don't know" classification that results in a fast detection of unforeseen plant conditions or outliers.
The SCORPIO core surveillance system has been delivered to several western type PWRs like Ringhals (Sweden), Sizewell B (UK) and Duke Power Co. (USA). A SCORPIO version for VVER reactors (SCORPIO-VVER) has been delivered to Dukovany NNP in Czech Republic. The SCORPIO system combines measurements and simulation to provide a best estimate of the core status on a continuous basis. In the predictive mode, the system calculates the core behaviour during planned power transients. Core control optimisation is facilitated by means of a strategy generator module.
Storskjerm Gjøa
IFE har levert design av storskjermsbilde for kontrollrommet på Gjøa.
Storskjerm Snorre A
IFE har levert design av nytt storskjermsbilde for kontrollrommet på Snorre A.
Storskjerm Statfjord A/B/C
IFE har levert design av nye storskjermbilder for kontrollrommene på Statfjord A, B og C.
Storskjerm Troll A
IFE har levert design av nytt storskjermsbilde for kontrollrommet på Troll A.
Storskjerm Visund
IFE har levert forslag til design av nytt storskjermsbilde for kontrollrommet på Visund.
The Thermal Performance Monitoring and Optimisation system TEMPO is designed to support plant personnel in identification and correction of problems which can cause decreases in plant efficiency.
Virtual Flow
The project of “virtual flow sensors” conducts a feasibility study of a computational intelligence approach to the enhancement of the accuracy of feedwater flow measurements in the framework of an ongoing cooperation between Tecnatom s.a. in Madrid ( and the OECD Halden Reactor Project in Halden. The aim of this research project is to contribute to the development and validation of a flow sensor in a nuclear power plant (NPP).
Virtuell virkelighet for vedlikeholdsopplæring
IFE jobber med å bruke virtuell virkelighet for å gi arbeidere på kjernekraftverk bedre forståelse av arbeidsoppgaver, og bli kjent med utstyr og området der de skal jobbe