• High current arc erosion on copper electrodes in air 

      Øyvang, Thomas; Fjeld, Elin; Rondeel, Wilhelm; Hagen, Svein Thore (Journal article; Peer reviewed, 2011)
      An arc fault inside metal enclosed switchgear will cause the pressure to rise and vaporization of electrode material may contribute to the pressure rise. An experimental study of high current arc erosion on copper electrodes ...
    • High Speed EIT with Multifrequency Excitation Using FPGA and Response Analysis Using FDM 

      Darnajou, Mathieu; Dupré, Antoine; Dang, Chunhui; Ricciardi, Guillaume; Bourennane, Salah; Bellis, Cédric; Mylvaganam, Saba (Peer reviewed; Journal article, 2020)
      The investigation of quickly-evolving flow patterns in high-pressure and higherature flow rigs is crucial due to inherent hazards. There is a dire need for a high-speed, non-intrusive imaging technique to identify ...
    • Human behaviour modelling for welfare technology using hidden Markov models 

      Sanchez, Veralia Gabriela; Lysaker, Ola Marius; Skeie, Nils-Olav (Peer reviewed; Journal article, 2019)
      Human behaviour modelling for welfare technology is the task of recognizing a person's behaviour patterns in order to construct a safe environment for that person. It is useful in building environments for older adults or ...
    • 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 ...
    • Impact Study of Temperature on the Time Series Electricity Demand of Urban Nepal for Short-Term Load Forecasting 

      Rajbhandari, Yaju; Marahatta, Anup; Ghimire, Bishal; Shrestha, Ashish; Gachhadar, Anand; Thapa, Anup; Chapagain, Kamal; Korba, Petr (Journal article; Peer reviewed, 2021)
      Short-term electricity demand forecasting is one of the best ways to understand the changing characteristics of demand that helps to make important decisions regarding load flow analysis, preventing imbalance in generation ...
    • Implementing an Extended Kalman Filter for estimating nutrient composition in a sequential batch MBBR pilot plant 

      Nair, Abhilash Muralidharan; Fanta, Abaynesh Belay; Haugen, Finn; Ratnaweera, Harsha (Journal article; Peer reviewed, 2019)
      Online monitoring of water quality parameters can provide better control over various operations in wastewater treatment plants. However, a lack of physical online sensors, the high price of the available online water-quality ...
    • Implementing an extended kalmanfilter for estimatingnutrient composition in a sequential batch MBBR pilot plant 

      Nair, Abhilash Muralidharan; Fanta, Abaynesh Belay; Haugen, Finn; Ratnaweera, Harsha (Journal article; Peer reviewed, 2019)
      Online monitoring of water quality parameters can provide better control over various operations in wastewater treatment plants. However, a lack of physical online sensors, the high price of the available online water-quality ...
    • The important choice of reference environment in microevolutionary climate response predictions 

      Ergon, Rolf (Peer reviewed; Journal article, 2022)
      It is well documented that individuals of wild populations can adjust to climate change by means of phenotypic plasticity, but few reports on adaptation by means of genetically based microevolution caused by selection. ...
    • 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 ...
    • Improvement of the Frequency Response Indicators by Optimal UFLS Scheme Settings 

      Acosta Montalvo, Martha Nohemi; Andrade, Manuel A.; Vazquez, Ernesto; Adiyabazar, Choidorj; Gonzalez-Longatt, Francisco; Torres, Jose Luis Rueda; Palensky, Peter (Peer reviewed; Journal article, 2020)
      This research investigates the positive changes in the system frequency response indicators caused by the implementation of a set of optimal settings of an under-frequency load shedding (UFLS) scheme. The optimal under-frequency ...
    • Industry/college cooperation on undergraduate project work as a college revenue source 

      Clausen, Trond; Holta, Randi Toreskås (Conference report, 2007)
      Since 1994, the Norwegian Ministry for Education and Research has required government supported universities and colleges to find additional sources of income. For Telemark University College (TUC) in Porsgrunn, senior ...
    • Informative PLS score-loading plots for process understanding 

      Ergon, Rolf (Journal article; Peer reviewed, 2004)
      Principal component regression (PCR) based on principal component analysis (PCA) and partial least squares regression (PLSR) are well known projection methods for analysis of multivariate data. They result in scores and ...
    • Informative score-loading-contribution plots for multi-response process monitoring 

      Ergon, Rolf (Journal article; Peer reviewed, 2009)
      The projection based multivariate data methods of principal component regression (PCR) and partial least squares regression (PLSR) are well established in the eld of process monitoring. Use of score and loading plots for ...
    • Innovative primary frequency control in low‐inertia power systems based on wide‐area RoCoF sharing 

      Chamorro, Harold R.; Segundo Sevilla, Felix Rafael; Gonzalez-Longatt, Francisco; Rouzbehi, Kumars; Chavez, Hector; Sood, Vijay K. (Journal article, 2020)
      Future plans for integration of large non-synchronous generation and the expansion of the power system in the Nordic countries are a concern to transmission system operators due to the common interconnections and electricity ...
    • Interleaved high gain DC-DC converter for integrating solar PV source to DC bus 

      Sri Revathi, B; Mahalingam, Prabhakar; Gonzalez-Longatt, Francisco (Peer reviewed; Journal article, 2019)
      In this paper, a novel non-isolated DC-DC converter topology is proposed for solar photovoltaic (PV) application. The proposed converter is constructed from an interleaved boost converter (IBC) to reduce the input current ...
    • Is engineering mathematics really an engineering tool? 

      Clausen, Trond; Kalvenes, Sigmund (Conference report, 1999)
      A set of final exams at Telemark State University has been studied to check if there is a symbiotic relationship between the mathematical tool and some technical courses offered at the Electrical Engineering Department. ...
    • Lessons to be learned from industry/university cooperation on undergraduate project work 

      Clausen, Trond (Conference report, 2000)
      Experiments with cooperative learning started in 1976, and has since 1982 project work in groups has been the hallmark of the pedagogical approach at Hogskolen i Telemark. This paper examines some attributes of 18 senior ...
    • 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 ...
    • Low-Viscosity Nonaqueous Sulfolane-Amine-Methanol Solvent Blend for Reversible CO2 Capture 

      Wagaarachchige, Jayangi Dinesha; Idris, Zulkifli; Arstad, Bjørnar; Kummamuru, Nithin Bharadwaj; Sætre, Kai Arne; Halstensen, Maths; Jens, Klaus-Joachim (Peer reviewed; Journal article, 2022)
      In this work, the absorption–desorption performance of CO2 in six new solvent blends of amine (diisopropylamine (DPA), 2-amino-2-methyl-1-propanol (AMP), methyldiethanolamine (MDEA), diethanolamine (DEA), diisopropanolamine ...
    • 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 ...