Stéphane Grieu

Stéphane Grieu
Université de Perpignan | UPVD · PROMES Laboratory of Processes, Materials and Solar Energy

Professor
PROMES-CNRS laboratory - University of Perpignan Via Domitia. Automatic control, artificial intelligence, solar energy.

About

134
Publications
21,176
Reads
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1,206
Citations
Citations since 2016
56 Research Items
781 Citations
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Introduction
Energy-based systems, solar energy, solar plants, smart buildings, thermal/electrical microgrids, smart grids, artificial intelligence, machine/deep learning, time series forcasting, automatic control.
Additional affiliations
September 2005 - December 2015
Université de Perpignan
Position
  • Professor (Full)

Publications

Publications (134)
Article
Full-text available
In a context of accelerating deployment of distributed generation in power distribution grid, this work proposes an answer to an important and urgent need for better management tools in order to ‘intelligently’ operate these grids and maintain quality of service. To this aim, a model-based predictive control (MPC) strategy is proposed, allowing eff...
Article
Full-text available
Solar forecasting constitutes a critical tool for operating, producing and storing generated power from solar farms. In the framework of the International Energy Agency’s Photovoltaic Power Systems Program Task 16, the solar irradiance nowcast algorithms, based on five all-sky imagers (ASIs), are used to investigate the feasibility of ASIs to fores...
Article
Fluctuations of the incoming solar irradiance impact the power generation from photovoltaic and concentrating solar thermal power plants. Accurate solar nowcasting becomes necessary to detect these sudden changes of generated power and to provide the desired information for optimal exploitation of solar systems. In the framework of the Internationa...
Chapter
This chapter presents solar resource‐related notions essential for its measurement, assessment or forecasting. Solar radiation reaching the ground depends on the position of the Sun, extra‐terrestrial radiation and the atmospheric specificities of the site being studied. The chapter presents a general presentation of these concepts. A fraction of t...
Article
Full-text available
With the development of predictive management strategies for power distribution grids, reliable information on the expected photovoltaic power generation, which can be derived from forecasts of global horizontal irradiance (GHI), is needed. In recent years, machine learning techniques for GHI forecasting have proved to be superior to classical appr...
Article
Full-text available
Microgrids (MGs) and networked (interconnected) microgrids (NMGs) are emerging as an efficient way for integrating distributed energy resources (DERs) into power distribution systems. MGs and NMGs can disconnect from the main grid and operate autonomously, strengthen grid resilience, and help mitigate grid disturbances and maintain power quality. I...
Conference Paper
The paper deals with the modeling and control of a solar reactor designed to produce syngas, by exploiting concentrated solar power. A reactor model based on the thermodynamic equilibrium is developed. Then, two model-based predictive control strategies are proposed: MPC strategy 1 aims to maintain the reactor's temperature at its nominal value; MP...
Conference Paper
This paper exhibits a hybrid model for the intrahour forecasting of DNI. It combines a knowledge-based model, that is used for clear-sky DNI forecasting from DNI measurements, with a machine-learning-based model, that evaluates the impact of atmospheric disturbances on the solar resource, through the processing of high dynamic range sky images prov...
Conference Paper
Gamma-induced RIA of aluminosilicate and Al/Tm co-doped optical fibers is investigated in the visible and near-infrared domain. The data reveal a promising interrogation wavelength for low dose, highly sensitive dosimetry with Al/Tm fibers.
Article
This paper presents a stochastic framework for optimizing microgrids with the functionality of providing flexibility services to System Operators (SOs) considering uncertainties in the energy forecast. The problem is conceived to be applied to complex microgrids composed by different distributed energy resources and hybrid energy storage systems (E...
Article
Full-text available
The proliferation of photovoltaic (PV) power generation in power distribution grids induces increasing safety and service quality concerns for grid operators. The inherent variability, essentially due to meteorological conditions, of PV power generation affects the power grid reliability. In order to develop efficient monitoring and control schemes...
Article
Radiation-induced attenuation (RIA) at 1542 nm of fluorine-doped fibers under gamma radiation source has been investigated for different dose rates and temperatures. Both the temperature and dose rate dependencies are unusual. First, the fiber presents an enhanced low dose rate sensitivity that is favored by increasing temperature. Furthermore, in...
Article
Full-text available
In past decades, the deployment of renewable-energy-based power generators, namely solar photovoltaic (PV) power generators, has been projected to cause a number of new difficulties in planning, monitoring, and control of power distribution grids. In this paper, a control scheme for flexible asset management is proposed with the aim of closing the...
Article
Full-text available
Renewable generation and energy storage systems are technologies which evoke the future energy paradigm. While these technologies have reached their technological maturity, the way they are integrated and operated in the future smart grids still presents several challenges. Microgrids appear as a key technology to pave the path towards the integrat...
Article
Full-text available
In this paper, a novel artificial neural network (ANN) based method is developed for the simultaneous estimation of thermal conductivity and thermal diffusivity. The objective is to monitor the thermophysical properties evolution of concentrating solar power (CSP) plant receiver materials during aging cycles to maintain the plant’s cost efficiency....
Article
Full-text available
In the present paper, global horizontal irradiance (GHI) is modelled and forecasted at time horizons ranging from 30 min to 48 h, thus covering intrahour, intraday and intraweek cases, using online Gaussian process regression (OGPR) and online sparse Gaussian process regression (OSGPR). The covariance function, also known as the kernel, is a key el...
Article
Full-text available
in recent years, growing penetration of renewable-energy-based distributed generation into power distribution grids has been compromising operational constraints. In this paper, a model-based predictive control (MPC) strategy is proposed for demand/supply balance and voltage regulation in a power distribution grid with prolific distributed generati...
Article
Full-text available
Over the past few decades, the proliferation of distributed generation (DG), fuelled chiefly by environmental concerns, has brought about fundamental changes to the structure and behaviour of the power grid. These changes have spawned new challenges in the way with which the power grid should be managed. As a result, the development of new modellin...
Conference Paper
Full-text available
in recent years, growing penetration of renewable-energy-based distributed generation into power distribution grids has been compromising operational constraints. In this paper, a model-based predictive control (MPC) strategy is proposed for demand/supply balance and voltage regulation in a power distribution grid with prolific distributed generati...
Poster
Full-text available
Online Gaussian process regression is used to model and forecast Global Horizontal Irradiance, at forecast horizons ranging from 30 minutes to 5 hours. It is shown that the covariance function (or kernel) is a key element, deeply influencing forecast results. As a consequence, Gaussian processes with simple kernels and with more complex kernels hav...
Article
Full-text available
In this paper, online Gaussian process regression (GPR) is used to model and forecast Global Horizontal Irradiance, at forecast horizons ranging from 30 min to 5 h. It is shown that the covariance function (or kernel) is a key element, deeply influencing forecast results. As a consequence, Gaussian processes with simple kernels and with more comple...
Patent
Full-text available
The patent is about measuring the components of solar irradiance (DNI, DHI and GHI) using a sky imager.
Article
Full-text available
Clear-sky Direct Normal Irradiance (DNI) is the solar power received at ground level per unit of area, at a specific location, under cloud-free conditions. Regarding Concentrating Solar Power (CSP) technologies, such conditions mean that there is no cloud between the Sun and the observer, i.e. the solar field. Since clear sky defines the nominal op...
Article
Full-text available
Increasing power plant efficiency through improved operation is key in the development of Concentrating Solar Power (CSP) technologies. To this end, one of the most challenging topics remains accurately forecasting the solar resource at a short-term horizon. Indeed, in CSP plants, production is directly impacted by both the availability and variabi...
Poster
Full-text available
Description of a method for short-term DNI forecasting using PROMES sky imager.
Poster
Full-text available
Explanation of HDR image generation using a sky imager, while preserving a linear relationship between incident radiance and pixel value.
Article
Full-text available
One way to improve the efficiency of concentrated solar power plants is to use short-term forecasts of Direct Normal Irradiance (DNI) to apply advanced control strategies. These short-term forecasts are obtained using sky imagers along with signal and image processing techniques. An important step in DNI forecasting is cloud motion estimation. Bloc...
Article
Full-text available
In a context of sustainable development, interest for Concentrating Solar Power (CSP) is growing rapidly. One of the most challenging topics is to improve solar resource assessment and forecasting in order to optimize power plant operation. Indeed, in CSP plants, electricity generation is directly impacted by both availability and variability of th...
Article
Full-text available
One way to optimize their operation of Concentrated Solar Power (CSP) plants is to obtain accurate short-term forecasts of Direct Normal Irradiance (DNI). To do so, the use of sky imagers is developing. They should provide high-quality images, especially in the circumsolar area, where pixels are usually saturated. To reduce the saturated area aroun...
Article
In this paper is presented a rule-based strategy to the predictive management of the energy resources in a residential building one can equip with power generators (i.e. photovoltaic solar panels and a vertical-axis wind turbine) and batteries for electricity storage. The strategy takes the status of the electricity grid into consideration (via gri...
Article
Full-text available
In solar energy converting systems, a particular attention is paid to the orientation of solar collectors in order to optimize the overall system efficiency. In this context, the collectors can be fixed or oriented by a continuous solar tracking system. The proposed approach is based on METEOSAT images processing in order to detect the cloud covera...
Article
As part of the second phase of the research project “OptiEnR”, aiming to improve the operation of multi-energy district boilers by adding optimally-designed and managed hot water tanks to the plants, a new and generalized predictive strategy is proposed. This phase of the project was first dedicated to developing both a design approach, based on a...
Poster
Full-text available
A new approach for assessing the clear-sky DNI in real time
Poster
Full-text available
Short-term DNI forecasting using a sky imager
Conference Paper
Full-text available
In the present paper, a new approach is proposed to assess the clear-sky direct normal irradiance (DNI) in real time. This approach combines an existing empirical model, proposed by Ineichen and Perez in 2002, with a new methodology for the computation of atmospheric turbidity. This methodology takes advantage of the fact that changes in atmospheri...
Conference Paper
Full-text available
The present paper deals with an image processing methodology based on a sky-imaging system developed at the PROMES-CNRS laboratory (France). It is part of a project which aims at improving solar plant control procedures using Direct Normal Irradiance (DNI) forecasts under various sky conditions at short term horizon (5-30 minutes) and high spatial...
Conference Paper
Optical fiber temperature sensors using Raman effect are a promising technology for temperature mapping of nuclear power plant pipes. These pipes are exposed to high temperature (350 °C) and gamma radiations, which is a harsh environment for standard telecom fibers. Therefore metal coated fibers are to be used to perform measurement over 300 °C. Te...
Article
Full-text available
Clear-sky Direct Normal Irradiance (DNI) is the solar power received at ground level per unit of area, at a specific location, under cloud-free conditions. Regarding Concentrating Solar Power (CSP) technologies, such conditions mean that there is no cloud between the Sun and the observer, i.e. the solar field. Since clear sky defines the nominal op...
Article
Full-text available
In the present paper, an artificial intelligence-based approach dealing with the estimation of correlated thermophysical properties is designed and evaluated. This new and “intelligent” approach makes use of photothermal responses obtained when homogeneous materials are subjected to a light flux. Commonly, gradient-based algorithms are used as para...
Conference Paper
Full-text available
The present work deals with improving the operation of a multi-energy district boiler by adding to the plant an optimally-designed thermal storage tank and developing a model-based predictive controller in order to manage it. The proposed architecture generates optimal command sequences dealing with the amount of thermal energy to be stored or rele...
Conference Paper
Full-text available
This paper deals with an intra-day Direct Normal Irradiance (DNI) forecasting methodology using a sky imaging system developed at the PROMES-CNRS laboratory. It is a part of a project which aims to improve solar plant control procedures using DNI forecasts under various sky conditions at short term horizon (5-30 minutes) and high spatial resolution...
Article
Full-text available
This paper introduces a new empirical formulation of the clear-sky intensity distribution based on images acquired with a sky imager developed at the PROMES-CNRS laboratory (Perpignan, France). Both the formulation and image processing methodology are detailed and stand for key steps in the development of a high quality cloud detection algorithm. T...
Article
In France, buildings account for a large part of the energy consumption and carbon emissions. Both are mainly due to heating, ventilation and air-conditioning (HVAC) systems. Because older, oversized or poorly maintained systems may be using more energy and costing more to operate than necessary, new management approaches are needed. In addition, e...
Article
Full-text available
This paper deals with an image processing methodology based on a sky-imaging system developed at the PROMES-CNRS laboratory. It is a part of a project which aims at improving solar plant control procedures using Direct Normal Irradiance (DNI) forecasts under various sky conditions at short term horizon (5-30 minutes) and high spatial resolution (∼1...
Article
Full-text available
In a context of sustainable development, enthusiasm for concentrated solar power technologies is developing. So, the CSPIMP (Concentrated Solar Power efficiencyIMProvement) project started in 2013 in order toachieve a better competitiveness for the CSP plants. Its main target is to develop new procedures to improve steam turbine start up cycles, ma...
Article
In the present paper, a new approach to energy resources management in a residential microgrid is proposed and evaluated in simulation, using energy and economic criteria. Its aim is to improve energy efficiency as well as interaction with the electricity grid. So, a grid-connected building located in Perpignan (south of France) and equipped with e...