Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Bernt Lie"'
Autor:
Kushila Jayamanne, Bernt Lie
Publikováno v:
Modeling, Identification and Control, Vol 45, Iss 3, Pp 81-95 (2024)
In the domain of process design, stakeholders pursue two interrelated yet potentially conflicting objectives: maximization of system performance and reduction of plant cost. The control architecture of a process not only determines the cost of the sy
Externí odkaz:
https://doaj.org/article/0a29b8ae051a46f5a66ca8b016383e87
Publikováno v:
IEEE Access, Vol 11, Pp 117250-117260 (2023)
Markov Chain Monte Carlo (MCMC) approaches are widely used for tuning model parameters to fit process measurements. While modern probabilistic programming languages (PPLs) such as Stan, PyMC, and Turing have made it easier to implement efficient MCMC
Externí odkaz:
https://doaj.org/article/d4f85f9cee5e41849957b65a58f6eb65
Autor:
Kushila Jayamanne, Bernt Lie
Publikováno v:
Modeling, Identification and Control, Vol 44, Iss 1, Pp 17-29 (2023)
Parametric model uncertainties could have a high impact on the predictive capabilities of a model. When process measurements become available, these uncertainties may be reduced using parameter estimation techniques. Estimation techniques founded on
Externí odkaz:
https://doaj.org/article/4e60a52fb2fd4fcd9f82983bfce1998e
Autor:
Bernt Lie
Publikováno v:
Energies, Vol 17, Iss 2, p 507 (2024)
Optimal operation of petroleum production is important in a transition from energy systems based on fossil fuel to sustainable systems. One sub-process in petroleum production deals with transport from the (subsea) well-bore to a topside separator. G
Externí odkaz:
https://doaj.org/article/6a8f1902e5c746ca9a7fe2bacd56c8cd
Autor:
Madhusudhan Pandey, Bernt Lie
Publikováno v:
IEEE Access, Vol 10, Pp 105612-105620 (2022)
This paper is the Part II of the series on parameter and state estimation using the Bayesian inference for a thermal model of a synchronous generator. Part I is about Parameter Estimation. In this paper, state estimation of rotor copper and air-gap t
Externí odkaz:
https://doaj.org/article/790ab19d32264f12b661faf8086d24ee
Autor:
Madhusudhan Pandey, Bernt Lie
Publikováno v:
IEEE Access, Vol 10, Pp 103529-103537 (2022)
Due to the increasing injection of intermittent power sources (solar+wind) into a common grid, dispatchable sources such as hydro power should be able to help reduce the variability in load and the variability in generation caused by the intermittent
Externí odkaz:
https://doaj.org/article/501075c050a44eddb577a0a307493970
Autor:
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 Moudgalya, Lennart Ochel, Arunkumar Palanisamy, Vitalij Ruge, Wladimir Schamai, Martin Sjölund, Bernhard Thiele, John Tinnerholm, Per Östlund
Publikováno v:
Modeling, Identification and Control, Vol 41, Iss 4, Pp 241-295 (2020)
OpenModelica is a unique large-scale integrated open-source Modelica- and FMI-based modeling, simulation, optimization, model-based analysis and development environment. Moreover, the OpenModelica environment provides a number of facilities such as d
Externí odkaz:
https://doaj.org/article/d3190df0cbe443b981c9357baaf608dd
Publikováno v:
Modeling, Identification and Control, Vol 41, Iss 2, Pp 65-77 (2020)
In this paper, a dynamic model for a rotary drum granulation loop with external product separator is developed. A population balance is used to capture dynamic particle size distribution in the 3-compartment rotary drum granulator model. Particle agg
Externí odkaz:
https://doaj.org/article/24de2f1b783f4d9592bb262a345fd7f3
Publikováno v:
Modeling, Identification and Control, Vol 40, Iss 4, Pp 213-243 (2019)
Obtaining accurate models that can predict the behaviour of dynamic systems is important for a variety of applications. Often, models contain parameters that are difficult to calculate from system descriptions. Hence, parameter estimation methods are
Externí odkaz:
https://doaj.org/article/1fdb7c6ef3664b90b14744024e689ebe
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 10, Iss 2, Pp 847-857 (2019)
Abstract One-dimensional model of non-Newtonian turbulent flow in a non-prismatic channel is challenging due to the difficulty of accurately accounting for flow properties in the 1-D model. In this study, we model the 1-D Saint–Venant system of sha
Externí odkaz:
https://doaj.org/article/a8473acd538344569db98a28b93adcdf