Johan Lauwaert

Johan Lauwaert


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014 in Solar Energy Materials and Solar Cells
Verified
Journal Article
Closed access
SKS. Khelifi
S. Khelifi
EVE. Voroshazi
E. Voroshazi
DSDonato Spoltore
Donato Spoltore
FPF. Piersimoni
F. Piersimoni
SBS. Bertho
S. Bertho
MBM. Burgelman
M. Burgelman

27 February 2012 in Progress in Photovoltaics: Research and Applications
Verified
Journal Article
Closed access
PDF file
JLJohan Lauwaert
Johan Lauwaert
LCL. Callens
L. Callens
SKS. Khelifi
S. Khelifi
KDK. Decock
K. Decock
MBM. Burgelman
M. Burgelman
HVHenk Vrielinck
Henk Vrielinck

30 July 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
NNNguyen D.P Nguyen
Nguyen D.P Nguyen
Kristiaan NeytsKristiaan Neyts
Kristiaan Neyts
JLJohan Lauwaert
Johan Lauwaert
The operating temperature is an essential parameter determining the performance of a photovoltaic (PV) module. Moreover, the estimation of the temperature in the absence of measurements is very complex, especially for outdoor conditions. Fortunately, several models with and without wind speed have been proposed to predict the outdoor operating temperature of a PV module. However, a problem for these models is that their accuracy decreases when the sampling interval is smaller due to the thermal inertia of the PV modules. In this paper, two models, one with wind speed and the other without wind speed, are proposed to improve the precision of estimating the operating temperature of outdoor PV modules. The innovative aspect of this study is two novel thermal models that consider the variation of solar irradiation over time and the thermal inertia of the PV module. The calculation is applied to different types of PV modules, including crystalline silicon, thin film as well as tandem technology at different locations. The models are compared to models that are described in the literature. The results obtained in different time steps show that our proposed models achieve better performance and can be applied to different PV technologies.

2 July 2024 in IEEE Transactions on Electron Devices
Verified
Journal Article
Open access
MAMojtaba Alaei
Mojtaba Alaei
MBMatteo Borga
Matteo Borga
EFElena Fabris
Elena Fabris
SDStefaan Christiaan Decoutere
Stefaan Christiaan Decoutere
JLJohan Lauwaert
Johan Lauwaert
Benoit BakerootBenoit Bakeroot
Benoit Bakeroot
The forward bias gate leakage current and forward gate breakdown voltage are important properties of p-GaN gate high-electron-mobility transistors (HEMTs). An engineered doping profile in the p-GaN layer results in a higher gate breakdown voltage and a lower forward bias gate leakage current. The use of such a technique puts additional requirements on the compact models that are used for these p-GaN gate HEMTs. An accurate compact model is needed, which considers a change in the doping profile in the p-GaN layer of these devices. This article reviews the relationship between the gate bias and the voltage drops at the different junctions in the gate structure (i.e., at the metal/p-GaN Schottky junction and the p-GaN/AlGaN/GaN junctions) considering an engineered doping profile. This relationship is then used to model the drain–source current ( $\textit{I}_{\text{DS}}$ ) and gate leakage current ( $\textit{I}_{\textit{G}}$ ). Three different regimes in the gate current have been considered in the model: Poole–Frenkel (PF) under low bias, thermionic emission (TE) in the medium bias range, and thermally assisted tunneling (TAT) at higher bias.

1 December 2007 in Physica B: Condensed Matter
Verified
Journal Article
Closed access
PCP. Clauws
P. Clauws
JGJ. Van Gheluwe
J. Van Gheluwe
JLJohan Lauwaert
Johan Lauwaert
ESE. Simoen
E. Simoen
JVJ. Vanhellemont
J. Vanhellemont
ATA. Theuwis
A. Theuwis

11 February 2024 in Small
Verified
Journal Article
Closed access
JLJohan Lauwaert
Johan Lauwaert
NJNithin Thomas Jacob
Nithin Thomas Jacob