A5080983668- Solar Radiation and Photovoltaics
- Energy Load and Power Forecasting
- Photovoltaic System Optimization Techniques
- Integrated Energy Systems Optimization
- Atmospheric and Environmental Gas Dynamics
- Atmospheric aerosols and clouds
- Solar Thermal and Photovoltaic Systems
- Atmospheric Ozone and Climate
- Impact of Light on Environment and Health
- Energy and Environment Impacts
- Solar and Space Plasma Dynamics
- Meteorological Phenomena and Simulations
- Water-Energy-Food Nexus Studies
- Climate variability and models
- Hybrid Renewable Energy Systems
- Spacecraft Design and Technology
- Calibration and Measurement Techniques
- Reservoir Engineering and Simulation Methods
- Wind Energy Research and Development
- Global Energy and Sustainability Research
- Distributed and Parallel Computing Systems
- Remote-Sensing Image Classification
- Electric Power System Optimization
- Atmospheric chemistry and aerosols
- Global Energy Security and Policy
Université Paris Sciences et Lettres
2018-2025
ParisTech
2018-2024
Centre Observation, Impacts, Énergie
2017-2024
Impact
2019-2024
École Nationale Supérieure des Mines de Paris
2015-2024
Fraunhofer Institute for Energy Economics and Energy System Technology
2015-2017
Fraunhofer Institute for Wind Energy Systems
2008-2016
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2005
CEA Cadarache
2005
Climate simulations consistently show an increase in European near-surface air temperature by the late 21st century, although projections for wind speeds and irradiance differ between models, are accompanied large natural variability. These factors make it difficult to estimate effects of physical climate change on power system planning. Here, impact future systems is estimated. We first time how a set divergent scenarios lead marked differences Europe's total energy balance...
Photovoltaic (PV) energy generation plays a crucial role in the transition. Small-scale, rooftop PV installations are deployed at an unprecedented pace, and their safe integration into grid requires up-to-date, high-quality information. Overhead imagery is increasingly being used to improve knowledge of with machine learning models capable automatically mapping these installations. However, cannot be reliably transferred from one region or source another without incurring decrease accuracy....
Climate information is necessary for the energy sector. However, use of climate projections has remained limited so far a number reasons such us lack consistency among projections, inadequate temporal and spatial resolution, model biases, guidance users, size data sets. In this work, we develop assess consistent ensemble high time space resolution that address these problems. First, methodology sub-ensemble selection developed proposed. Our dataset includes eleven 12 km-resolution...
Accurately predicting the formation, development and dissipation of fog low stratus (LS) still poses a challenge for numerical weather prediction (NWP) models. Errors in cloud cover NWP forecasts directly impact quality photovoltaic (PV) power prediction. On days with LS, day-ahead forecast errors Germany-wide PV frequently lie within magnitude balance energy thus pose maintaining grid stability. An indication advance about possible occurrence critical situation such as LS would represent...
Climate and weather conditions influence energy demand. as well electricity generation, especially due to the strong development of renewable energy. The changes European mix, together with ongoing climate change, raise a number questions on impact sector. In this paper we present results for whole power sector regarding how considering current future variability affects TIMES system model (eTIMES-EU) up 2050. For each member-state consider six projections generate capacity factors wind,...
We demonstrate levels of skill for forecasts seasonal-mean wind speed and solar irradiance in Europe, using seasonal forecast systems available from the Copernicus Climate Change Service (C3S). While is patchy, there potential development climate services energy sector. Following previous studies, we show that, where skill, a simple linear regression-based method hindcast ensemble means provides straightforward approach producing calibrated probabilistic forecasts. This extends naturally to...
Forecasting solar energy from cloud cover observations is crucial to truly anticipate future changes in power supply. On an intra-hour timescale, ground-level sky cameras located near a site offer the most valuable source of information on incoming clouds. In literature, analysis these hyperlocal for modelling increasingly performed by deep learning algorithms trained and tested years' worth local data. However, this approach not suitable industrial applications since producers cannot wait...
The assessment of solar irradiance variability is relevant for evaluating irradiance-based models, resource and forecasting applications in the energy field. One well-established model database project development Copernicus Atmosphere Monitoring Service (CAMS) through its CAMS Radiation (CRS) that offers historical all-sky estimates. In this work, accuracy CRS GHI product over France evaluated under different conditions by applying a sky condition classification method based on 1-minute...
The Copernicus Climate Change Service (C3S), which is fully funded by the European Union and implemented Centre for Medium-Range Weather Forecasts (ECWMF), has traditionally provided authoritative information about past, present, future climate through datasets, tools, applications. service facilitates development of adaptation mitigation strategies society in face change.C3S been consolidated as one most relevant providers data both Europe globally. Its implementation evolved...
Abstract Photovoltaic (PV) energy grows rapidly and is crucial for the decarbonization of electric systems. However, centralized registries recording technical characteristics rooftop PV systems are often missing, making it difficult to monitor this growth accurately. The lack monitoring could threaten integration into grid. To avoid situation, remote sensing using deep learning has emerged as a promising solution. existing techniques not reliable enough be used by public authorities or...
Abstract. The EU Copernicus Climate Change Service (C3S) European Climatic Energy Mixes (ECEM) has produced, in close collaboration with prospective users, a proof-of-concept climate service, or Demonstrator, designed to enable the energy industry and policy makers assess how well different supply mixes Europe will meet demand, over time horizons (from seasonal long-term decadal planning), focusing on role mixes. concept of C3S ECEM, its methodology some results are presented here. first...
Abstract. Classical approaches to the calculation of photovoltaic (PV) power generated in a region from meteorological data require knowledge detailed characteristics plants, which are most often not publicly available. An approach is proposed with objective obtain best possible assessment any without having collect information on PV plants. The based model plant coupled statistical distribution prominent configuration and tested over Europe. first calculated for each configurations...