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See detailModeling of the surface mass balance in Svalbard with the regional climate model MAR over 1958-2010
Lang, Charlotte ULg

Master's dissertation (2011)

It is well known that high latitude zones are very sensitive to climate change. As a result of global warming, ice sheet melting has increased which in turn has an influence on climate through ... [more ▼]

It is well known that high latitude zones are very sensitive to climate change. As a result of global warming, ice sheet melting has increased which in turn has an influence on climate through modifications of the thermohaline circulation, feedback of ice albedo, sea level rise,. . . Svalbard is an archipelago located between 74 and 81 ◦lat N and 60 percent of its area (62 248 km2 ) is covered with glaciers and ice sheets. The impact of global warming on the Svalbard cryosphere can be estimated with climate models. However, we need to use regional climate models as they offer the possibility of a higher resolution than general circulation models. We have carried out a simulation of the Svalbard climate over the last 50 years (from 1958 to 2010) with the regional climate MAR model (tuned for the Greenland ice sheet) at a 10 km resolution forced with the ECMWF reanalysis. As validation, the modeled climate has been compared to near surface measurements at several weather stations through the archipelago. The results show a large interannual variability of the surface mass balance over Svalbard along with an increasing melting. The increase in temperature is responsible for the melting rate and the interannual variability is due to the variations of the mean summer temperature. [less ▲]

Detailed reference viewed: 54 (16 ULg)
Peer Reviewed
See detailModeling of Thin Insulating Layers in Dual Magnetodynamic Formulations
Dular, Patrick ULg; Geuzaine, Christophe ULg

in Proceedings of the 10th IEEE Conference on Electromagnetic Field Computation (CEFC'2002) (2002)

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See detailModeling of Thin Insulating Layers with Dual 3-D Magnetodynamic Formulations
Dular, Patrick ULg; Geuzaine, Christophe ULg

in IEEE Transactions on Magnetics (2003), 39(3), 1139--1142

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See detailModeling of Transformer Core Joints via a Subproblem FEM and a Homogenization Technique
Ferreira da Luz, Mauricio Valencia; Dular, Patrick ULg; Vianei Leite, Jean et al

in IEEE Transactions on Magnetics (2014), 50(2),

A subproblem finite element method is developed for modeling the transformer core joints. It applies magnetostatic and magnetodynamic models on progressive geometries and different components of the ... [more ▼]

A subproblem finite element method is developed for modeling the transformer core joints. It applies magnetostatic and magnetodynamic models on progressive geometries and different components of the solution, supported by different meshes. It allows an efficient and robust analysis of magnetic circuits in any frequency range, with an accurate calculation of flux density, losses, reluctance, and impedance in transformer core joint zone. The models of the study properly account for the effects of core design parameters such as length of air gaps and overlap length in stacked-lamination cores. The proposed models, which include saturation, are applied to grain-oriented silicon steel and two types of step-lap joints are considered: single-step-lap (SSL) joints and multistep-lap (MSL) joints. The values of magnetic reluctance, impedance, and Joule losses obtained with SSL joint are bigger than with MSL joint. [less ▲]

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See detailModeling of tumor growth in dendritic cell-based immunotherapy using artificial neural networks.
Mehrian, Mohammad ULg; Asemani, Davud; Arabameri, Abazar et al

in Computational biology and chemistry (2014), 48

Exposure-response modeling and simulation is especially useful in oncology as it permits to predict and design un-experimented clinical trials as well as dose selection. Dendritic cells (DC) are the most ... [more ▼]

Exposure-response modeling and simulation is especially useful in oncology as it permits to predict and design un-experimented clinical trials as well as dose selection. Dendritic cells (DC) are the most effective immune cells in the regulation of immune system. To activate immune system, DCs may be matured by many factors like bacterial CpG-DNA, Lipopolysaccharaide (LPS) and other microbial products. In this paper, a model based on artificial neural network (ANN) is presented for analyzing the dynamics of antitumor vaccines using empirical data obtained from the experimentations of different groups of mice treated with DCs matured by bacterial CpG-DNA, LPS and whole lysate of a Gram-positive bacteria Listeria monocytogenes. Also, tumor lysate was added to DCs followed by addition of maturation factors. Simulations show that the proposed model can interpret the important features of empirical data. Owing to the nonlinearity properties, the proposed ANN model has been able not only to describe the contradictory empirical results, but also to predict new vaccination patterns for controlling the tumor growth. For example, the proposed model predicts an exponentially increasing pattern of CpG-matured DC to be effective in suppressing the tumor growth. [less ▲]

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See detailModeling of Uncertainties in Bladed Disks Using a Nonparametric Approach
Nyssen, Florence ULg; Arnst, Maarten ULg; Golinval, Jean-Claude ULg

in Proceedings of the ASME IDETC/CIE 2014 (2014, August)

Detailed reference viewed: 24 (9 ULg)
See detailModeling of Unit Operations by Molecular Simulations
Babic; Pereira Neto; Pfennig, Andreas ULg

Conference (2008)

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See detailModeling of Unit Operations by Molecular Simulations
Babic,, Danijel; Pfennig, Andreas ULg

Conference (2008)

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See detailModeling of Unit Operations by Molecular Simulations
Babic, D; Pereira Neto, A; Pfennig, Andreas ULg

in AIChE Annual Meeting : Philadelphia 18-20 novembre 2008 (2008)

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See detailModeling of Wastewater Sludge Drying with Determination of Diffusivity Moisture
Bennamoun, Lyes ULg; Fraikin, Laurent ULg; Salmon, Thierry ULg et al

in Journal of Residuals Science and Technology [=JRST] (2013), 10(4), 165

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See detailModeling of Weakly Conducting Thin Sheets in the Discontinuous Galerkin Method for Shielding Effectiveness Evaluation
Boubekeur, Mohamed; Kameni, Abelin; Modave, Axel ULg et al

in ACES Journal (2013), 28(10), 931

This paper presents a modeling of weakly conducting thin sheets in the time domain discontinuous Galerkin method. This interface condition is used to avoid the mesh of resistive sheets in order to ... [more ▼]

This paper presents a modeling of weakly conducting thin sheets in the time domain discontinuous Galerkin method. This interface condition is used to avoid the mesh of resistive sheets in order to evaluate the shielding effectiveness in high frequency electromagnetic compatibility problems. This condition is valid when the thickness of the sheet is smaller than the skin depth. This approach is validated by a comparison with an analytical solution. A 1D two sheets example, 2D and 3D cavities are treated to illustrate the efficiency of the condition. [less ▲]

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See detailModeling operational losses: a conditional Generalized Pareto regression based on a single-index assumption
Hambuckers, julien ULg; Heuchenne, Cédric ULg; Lopez, Olivier

Scientific conference (2016, February 24)

In this paper, we consider a regression model in which the tail of the conditional distribution of the response can be approximated by a Generalized Pareto distribution. Our model is based on a ... [more ▼]

In this paper, we consider a regression model in which the tail of the conditional distribution of the response can be approximated by a Generalized Pareto distribution. Our model is based on a semiparametric single-index assumption on the conditional tail index while no further assumption on the conditional scale parameter is made. The underlying dimension reduction assumption allows the procedure to be of prime interest in the case where the dimension of the covariates is high, in which case the purely nonparametric techniques fail while the purely parametric one are too rough to correctly fit to the data. We propose an iterative algorithm in order to perform their practical implementation. Our results are supported by some simulations. To illustrate the proposed approach, the method is applied to a novel database of operational losses from the bank UniCredit [less ▲]

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See detailModeling operational losses: a conditional Generalized Pareto regression based on a single-index assumption
Hambuckers, julien ULg; Heuchenne, Cédric ULg; Lopez, Olivier

Scientific conference (2016, March 09)

In this paper, we consider a regression model in which the tail of the conditional distribution of the response can be approximated by a Generalized Pareto distribution. Our model is based on a ... [more ▼]

In this paper, we consider a regression model in which the tail of the conditional distribution of the response can be approximated by a Generalized Pareto distribution. Our model is based on a semiparametric single-index assumption on the conditional tail index while no further assumption on the conditional scale parameter is made. The underlying dimension reduction assumption allows the procedure to be of prime interest in the case where the dimension of the covariates is high, in which case the purely nonparametric techniques fail while the purely parametric one are too rough to correctly fit to the data. We propose an iterative algorithm in order to perform their practical implementation. Our results are supported by some simulations. To illustrate the proposed approach, the method is applied to a novel database of operational losses from the bank UniCredit [less ▲]

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See detailModeling Operational Risk Based on Multiple Experts’ Opinion
Peters, Jean-Philippe; Hübner, Georges ULg

in Gregoriou, Greg (Ed.) Operational Risk Towards Basel III (2009)

While the Basel II accord has now gone live in most parts of the world, many discrepancies still remain on advanced modeling techniques for operational risk among large international banks. The two major ... [more ▼]

While the Basel II accord has now gone live in most parts of the world, many discrepancies still remain on advanced modeling techniques for operational risk among large international banks. The two major families of models include the loss distribution approaches (LDAs) that focus on observed past internal and external loss events and the scenario-based techniques that use subjective opinions from experts as the starting point to determine the regulatory capital charge to cover operational risk. A major methodological challenge is the combination of both techniques so as to fulfill Basel II requirements. In this chapter we discuss and investigate the use of various alternatives to model expert opinion in a sound statistical way so as to allow for subsequent integration with loss distributions fitted on internal and/or external data. A numerical example supports the analysis and shows that solutions exist to merge information arising from both sources. [less ▲]

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See detailModeling p-18FMPPF pet kinetics for the detremination of local 5-HT1A receptor concentration.
Costes, N.; Le Bars, D.; Merlet, I. et al

in Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine (2001), 42(S1), 209

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See detailModeling post-combustion CO2 capture with amine solvents
Léonard, Grégoire ULg; Heyen, Georges ULg

Conference (2010)

Oral communication at the Cape-forum, Aachen, 2010. Modeling CO2 capture process and optimization of some process parameters with an equilibrium-based model.

Detailed reference viewed: 43 (7 ULg)
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See detailModeling post-combustion CO2 capture with amine solvents
Léonard, Grégoire ULg; Heyen, Georges ULg

Poster (2010)

In order to avoid the emission of large amounts of greenhouse gas, CO2 capture in fossil fuel power plants and subsequent underground CO2 sequestration is studied. The capture occurs by reactive CO2 ... [more ▼]

In order to avoid the emission of large amounts of greenhouse gas, CO2 capture in fossil fuel power plants and subsequent underground CO2 sequestration is studied. The capture occurs by reactive CO2 absorption into chemical solvent systems at moderate temperature (~50°C) followed by solvent regeneration at higher temperature (~120°C). So far, the most employed solvent for acid gas capture is monoethanolamine (MEA). One main drawback of this technology is the high energy consumption necessary to regenerate the solvent. In the present work, the CO2 capture process with MEA is modeled using the simulation tool Aspen Plus®. The base case process is optimized and some process improvements are studied that imply a significant decrease of the process exergy consumption. [less ▲]

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See detailModeling post-combustion CO2 capture with amine solvents
Léonard, Grégoire ULg; Heyen, Georges ULg

in Computer Aided Chemical Engineering (2011), 29

Carbon capture and storage is a technology that can contribute to face the challenge of rising energy demand combined with a growing environmental awareness. In the present work, the CO2 capture process ... [more ▼]

Carbon capture and storage is a technology that can contribute to face the challenge of rising energy demand combined with a growing environmental awareness. In the present work, the CO2 capture process with monoethanolamine (MEA) is modeled using the simulation tool Aspen Plus. Two different modeling approaches are studied and compared: the equilibrium and the rate-based approaches. An optimization of key process parameters is performed and process modifications are studied with the objective of improving the global process energy efficiency. [less ▲]

Detailed reference viewed: 166 (33 ULg)
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See detailModeling post-combustion CO2 capture with amine solvents
Léonard, Grégoire ULg; Heyen, Georges ULg

Poster (2011, June)

Carbon capture and storage is a technology that can contribute to face the challenge of rising energy demand combined with a growing environmental awareness. In the present work, the CO2 capture process ... [more ▼]

Carbon capture and storage is a technology that can contribute to face the challenge of rising energy demand combined with a growing environmental awareness. In the present work, the CO2 capture process with monoethanolamine (MEA) is modeled using the simulation tool Aspen Plus. Two different modeling approaches are studied and compared: the equilibrium and the rate-based approaches. An optimization of key process parameters is performed and process modifications are studied with the objective of improving the global process energy efficiency. [less ▲]

Detailed reference viewed: 43 (1 ULg)