B
Bernt Lie
Researcher at Sewanee: The University of the South
Publications - 140
Citations - 1009
Bernt Lie is an academic researcher from Sewanee: The University of the South. The author has contributed to research in topics: Modelica & Computer science. The author has an hindex of 16, co-authored 124 publications receiving 822 citations. Previous affiliations of Bernt Lie include Equinor & Norwegian Institute of Technology.
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Journal ArticleDOI
The OpenModelica Integrated Environment for Modeling, Simulation, and Model-Based Development
Peter Fritzson,Adrian Pop,Karim Abdelhak,Adeel Ashgar,Bernhard Bachmann,Willi Braun,Daniel Bouskela,Robert Braun,Lena Buffoni,Francesco Casella,Rodrigo Castro,Rüdiger Franke,Dag Fritzson,Mahder Gebremedhin,Andreas Heuermann,Bernt Lie,Alachew Mengist,Lars Mikelsons,Kannan M. Moudgalya,Lennart Ochel,Arunkumar Palanisamy,Vitalij Ruge,Wladimir Schamai,Martin Sjölund,Bernhard Thiele,John Tinnerholm,Per Östlund +26 more
TL;DR: This overview paper gives an up-to-date description of the capabilities of the OpenModelica system, short overviews of used open source symbolic and numeric algorithms with pointers to published literature, tool integration aspects, some lessons learned, and the main vision behind its development.
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A simulation study on the abatement of CO2 emissions by de‐absorption with monoethanolamine
TL;DR: The most cost-effective method for CO2 capture is an important area of research as discussed by the authors, and the predominant process is the CO2 extraction from fossil fuel combustion, which is the most cost effective method.
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Oxygen Effects in Anaerobic Digestion
TL;DR: Both the experimental data and the simulations suggest a linear reduction of methane potential with respect to the increase in oxygen load within this range, and this article analyses these counterbalancing phenomena using the widely accepted biochemical model ADM 1.1-Ox.
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Oxygen Effects in Anaerobic Digestion II
TL;DR: The developed ADM 1-Ox model can be a valuable tool for recognizing suitable operating conditions for achieving the maximum benets from anaerobic digestion.
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Amine based CO2 capture plant: Dynamic modeling and simulations
TL;DR: In this article, a dynamic model for simulating an amine-based CO2 absorption plant is developed, where a non-equilibrium rate is used as the base for representing the heat and mass transfer in the absorption and desorption columns.