Team
OIE
Biography
Benoît Gschwind is a researcher specializing in solar energy, renewable energy resource modeling, and the environmental assessment of energy systems. His work focuses on developing physical and statistical models to estimate solar radiation at various spatial and temporal scales, as well as on integrating these models into operational tools for feasibility studies and the optimization of energy projects. His expertise also includes life cycle assessment (LCA) applied to solar and hybrid technologies, with a particular focus on environmental impacts and system performance under real-world conditions. Through his research, he has contributed to improving methods for predicting solar radiation—notably through the use of satellite data and machine learning techniques—while collaborating on European projects aimed at evaluating energy scenarios and their consequences for public health and the environment.
Publication(s)
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2026
Detailed and simplified parameterized LCA models for early-stage energy projects: A microalgae-based biogas case DOI : 10.1016/j.cesys.2025.100384
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2026
McClear_Radiance physical model for estimating clear sky downwelling and upwelling solar irradiance on tilted surfaces DOI : 10.1016/j.solener.2025.114187
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2025
Preliminary evaluation of a new tool for modeling all-sky spectral solar radiation on tilted orientations for agrivoltaic applications DOI : 10.1109/PVSC59419.2025.11133421
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2023
A PERFORMANCE COMPARISON BETWEEN THE ISOLATED HYBRID ENERGY SYSTEM WITH AND WITHOUT BATTERY ENERGY STORAGE SYSTEM DOI : 10.1049/icp.2023.2754
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2023
Retrieval of surface solar irradiance from satellite imagery using machine learning: pitfalls and perspectives DOI : 10.5194/amt-16-4165-2023
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2022
An alternative cloud index for estimating downwelling surface solar irradiance from various satellite imagers in the framework of a Heliosat-V method DOI : 10.5194/amt-15-3683-2022
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2019
Improving the McClear model estimating the downwelling solar radiation at ground level in cloud-free conditions - McClear-v3 DOI : 10.1127/metz/2019/0946
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2017
Using ERA-Interim reanalysis for creating datasets of energy-relevant climate variables DOI : 10.5194/essd-9-471-2017
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2017
Fast radiative transfer parameterisation for assessing the surface solar irradiance: The Heliosat-4 method DOI : 10.1127/metz/2016/0781
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2017
ENVI-PV: an interactive Web Client for multi-criteria life cycle assessment of photovoltaic systems worldwide DOI : 10.1002/pip.2841
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2015
Including the temporal change in PM2.5 concentration in the assessment of human health impact: Illustration with renewable energy scenarios to 2050 DOI : 10.1016/j.eiar.2014.09.003
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2014
The HelioClim-1 database of daily solar radiation at earth surface: An example of the benefits of GEOSS data-CORE DOI : 10.1109/JSTARS.2013.2283791
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2014
Improving HelioClim-3 estimates of surface solar irradiance using the McClear clear-sky model and recent advances in atmosphere composition DOI : 10.5194/amt-7-3927-2014
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2014
Twelve monthly maps of ground Albedo parameters derived from MODIS data sets DOI : 10.1109/IGARSS.2014.6947177
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2013
McClear: A new model estimating downwelling solar radiation at ground level in clear-sky conditions DOI : 10.5194/amt-6-2403-2013
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2012
Benefit of GEOSS interoperability in assessment of environmental impacts illustrated by the case of photovoltaic systems DOI : 10.1109/JSTARS.2012.2196024
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2011
The HelioClim project: Surface solar irradiance data for climate applications DOI : 10.3390/rs3020343
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2011
High spatial resolution solar atlas in Provence-Alpes-Côte d'Azur
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2011
The performances of the helioclim databases in Mozambique
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2006
Converting a successful research project into a sustainable service: The case of the SoDa Web service DOI : 10.1016/j.envsoft.2006.05.002
Teaching
Elementary Programs (EP)
Learning to Program (AP)
Reliable and Cooperative Programs
Computer Science Project
ATHENS - MP01 - The C++ Language
In this course, we will thoroughly cover all aspects of the language. During practical exercises, the focus is on learning the language itself, outside of an integrated development environment, so that the mechanisms of compilation, linking, debugging, and execution are fully understood. We will also demonstrate an integrated development environment to highlight its specific features and differences. The small class size allows us to tailor the course to each student’s level, both during lectures and in the hands-on sessions, by offering exercises of varying difficulty. A guest speaker from the industry—an engineer at Renault who has chosen C++ for programming large-scale applications—will lead this course. He will describe the industrial approach to designing, managing as a team, and maintaining large volumes of C++ code. Content: reusability and generics (to reduce development costs: object-oriented mechanisms, template classes); access control (separation of specification and implementation); strong typing and polymorphism (to detect errors as early as possible in the development cycle: structures and classes, single and multiple inheritance, function and operator overloading, etc.); exception mechanisms for runtime error handling; memory management (static memory, runtime stack, dynamic memory, overloading of allocation and deallocation operators); introspection on data types at runtime; the use of the STL, the standardized library of C++ classes and functions; and the use of the C++ language standard.
PhD supervision
- 2023 Hybrid forecasting of intra-hour solar irradiation: an integrated approach with sky images and satellite data MEDDAHI Amar
- 2020 Estimation of the inclined clear sky illuminance components based on downward and upward luminances taking into account the ground reflectance BHAM Sara
- 2017 Heliosat-V: a versatile method for estimating surface solar radiation using satellite data TOURNADRE Benoît