Blar i Institutt for elektro, IT, og kybernetikk på tidsskrift "Linköping Electronic Conference Proceedings"

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    • Flood Control of Lake Toke: Model Development and Model Fitting 

      Kvam, Kristian D.; Furenes, Beathe; Hasaa, Åsmund; Gjerseth, Alexander Zhang; Skeie, Nils-Olav; Lie, Bernt (Journal article; Peer reviewed, 2017)

    • Flood Management of Lake Toke: MPC Operation under Uncertainty 

      Menchacatorre, Itsaso; Sharma, Roshan; Furenes, Beathe; Lie, Bernt (Peer reviewed; Journal article, 2019)
      A deterministic reference tracking model predictive control (MPC) is in use at Skagerak Kraft for flood management of Lake Toke in Norway. An operational inflow estimate is used to predict the optimal gate opening at Dalsfos ...

    • Formulation of Stochastic MPC to Balance Intermittent Solar Power with Hydro Power in Microgrid 

      Pandey, Madhusudhan; Winkler, Dietmar; Sharma, Roshan; Lie, Bernt (Peer reviewed; Journal article, 2021)
      In a microgrid with both intermittent and dispatchable generation, the intermittency caused by sources such as solar power and wind power can be balanced using dispatchable sources like hydro power. Both generation and ...

    • Hydropower Systems: Comparison of Mechanistic and Table Look-up Turbine Models 

      Splavska, Valentyna; Vytvytskyi, Liubomyr; Lie, Bernt (Journal article; Peer reviewed, 2017)
      In this paper, a detailed overview of hydropower system components is given. Components of the system include intake race, upstream and downstream surge tanks, penstock, turbine and draft tube. A case study which includes ...

    • Improved model for solar heating of buildings 

      Lie, Bernt (Journal article; Peer reviewed, 2015-11-25)
      A considerable future increase in the global energy use is expected, and the effects of energy conversion on the climate are already observed. Future energy conversion should thus be based on resources that have negligible ...

    • Linearization for Analysis of a Hydropower Model using Python API for OpenModelica 

      Vytvytskyi, Liubomyr; Lie, Bernt (Journal article; Peer reviewed, 2018)
      Even though almost all processes in the real world are described by nonlinear models, nonlinear theory for analysis of these models is far less developed than the theory for linear models. Therefore model linearization is ...

    • Machine Learning in Python for Weather Forecast based on Freely Available Weather Data 

      Abrahamsen, Erik Boye; Brastein, Ole Magnus; Lie, Bernt (Journal article; Peer reviewed, 2018)
      Forecasting weather conditions is important for, e.g., operation of hydro power plants and for flood management. Mechanistic models are known to be computationally demanding. Hence, it is of interest to develop models that ...

    • Model Based Early Kick/Loss Detection and Attenuation with Topside Sensing in Managed Pressure Drilling 

      Jinasena, Asanthi; Holta, Haavard H. F.; Jondahl, Morten Hansen; Welahettige, Prasanna Kumara Welahetti; Aamo, Ole Morten; Sharma, Roshan; Viumdal, Håkon; Lie, Bernt (Peer reviewed; Journal article, 2020)
      Early kick/loss detection is a crucial part of safe well control, and it plays a major role in the reduction of risk and non-productive time in drilling. In conventional drilling, topside sensing is used for early kick/loss ...

    • modelica.university: A Platform for Interactive Modelica Content 

      Winkler, Dietmar; Tiller, Michael (Journal article; Peer reviewed, 2017)
      The World Wide Web was conceived of as a medium for the expression and exploration of scientific and engineering ideas. However, much of the innovation in web technologies is now focused on consumer facing applications. Although ...

    • Modeling and Simulation of Triclosan Kinetics and Distribution in Humans Using a PBPK Model 

      Maharjan, Samee; Sharma, Roshan; Husøy, Trine; Dirven, Hubert; Andreassen, Monica; Lie, Bernt (Journal article; Peer reviewed, 2015-11-25)
      Personal care products (PCPs) such as soaps, perfumes, toothpastes, lotions, etc. contain various chemicals. Triclosan (TCS) is widely used as an antibacterial additive in PCPs. Traces of TCS are found in human plasma and ...

    • Modeling and Simulation of Triclosan Kinetics and Distribution in Humans Using PBPK Model 

      Cascella, Vincenza; Andreassen, Monica; Husøy, Trine; Dirven, Hubert; Lie, Bernt (Journal article; Peer reviewed, 2018)
      Triclosan (TCS) has been used as an antibacterial additive in several personal care products (PCPs) for more than 40 years. In animals studies, it is observed that TCS in rats has adverse effects on the endocrine function ...

    • Modeling for control of run-of-river power plant Grønvollsfoss 

      Vytvytskyi, Liubomyr; Sharma, Roshan; Granstrøm, Ingunn; Lie, Bernt (Journal article; Peer reviewed, 2015-11-25)
      Design of optimal operation and control of a run-of-river hydro power plant depends on good models for the elements of the plant. River reaches are often considered to be shallow channels with free surface flow. A typical ...

    • Modelling of a Hydro Power Station in an Island Operation 

      Winkler, Dietmar; Magnúsdóttir, Arndís (Journal article; Peer reviewed, 2017)
      There is a strong focus on new renewable energy sources, such as, solar power, wind energy and biomass, in the con-text of reducing carbon emissions. Because of its maturity, hydropower is often overlooked. However, there ...

    • Modelling of Water Levels in a Reservoir using Modelica 

      Meijer, Willem; Winkler, Dietmar (Journal article; Peer reviewed, 2020)
      The regulation of hydro power plants is influenced by amongst others reservoir capacity and the knowledge about how it is influenced by changes in in- and out?ow. The hydro power reservoir Aurdalsfjord has a small capacity ...

    • Modelling the synchronisation control for a hydro power controller 

      Hellborg, Jonatan; Tollefsen, Tonje; Bhusal, Khemraj; Winkler, Dietmar (Peer reviewed; Journal article, 2021)
      This paper presents the modelling of a synchronisation control as used inside a typical hydro power controller for small hydro power plants. It was built using the open-source modelling language Modelica by use of the ...

    • Modelling the System Dynamics of Islanding Asynchronous Generators 

      Edvardsen, Håkon Molland; Winkler, Dietmar (Journal article; Peer reviewed, 2014-03)
      Asynchronous generators are often used for small hydro power stations with an installed power capacity of under 1MW. The reason for this is their robustness and low cost. In order do be able to produce active electrical ...

    • Models for control of thermal energy in buildings 

      Johansen, Casper Amandus; Lie, Bernt; Skeie, Nils-Olav (Peer reviewed; Journal article, 2019)
      A large fraction of the world’s energy production is used for HVAC in buildings. It is therefore important to develop improved strategies for ef?cient use of energy in buildings. Storage of intermittent energy production ...

    • Monitoring of Erosion in a Pneumatic Conveying System by Non-intrusive Acoustic Sensors – A Feasibility Study 

      Haugland, Ingrid Bokn; Chladek, Jana; Halstensen, Maths (Journal article; Peer reviewed, 2019)
      This paper presents the results of a study where the feasibility of a non-invasive acoustic measurement method was tested for monitoring of erosion in a pneumatic conveying system during the dilute-phase conveying of sand. ...

    • MPC Operation with Improved Optimal Control Problem at Dalsfoss Power Plant 

      Jeong, Changun; Furenes, Beathe; Sharma, Roshan (Peer reviewed; Journal article, 2021)
      The operational conditions at the Dalsfoss power station are complicated due to many requirements such as environmental regulations and safety constraints. Model predictive control (MPC) has been in use at this power station ...

    • OMJulia: An OpenModelica API for Julia-Modelica Interaction 

      Lie, Bernt; Palanisamy, Anandhakumar; Mengist, Alachew; Buffoni, Lena; Sjölund, Martin; Asghar, Adeel; Pop, Adrian; Fritzson, Peter (Peer reviewed; Journal article, 2019)
      Modelica is an object oriented, acausal equation-based language for describing complex, hybrid dynamic models. About ten Modelica implementations exist, of which most are commercial and two are open source; the implementations ...