Robust Design of Microgrids using Component Models with Different Level of Accuracy

International audienceRobust design of microgrids is a complex optimization process requiring multiple simulations in order to integrate uncertainty variables associated with the system environment or design models. In this context, having sufficiently accurate models that are compatible with the optimization algorithms and associated computational costs represents a real challenge. In this paper, we illustrate this through the robust design of a simple microgrid with electrochemical storage. Based on battery models that couple energy efficiency and aging, we develop an approach for choosing the right level of precision to match the microgrid's optimization criteria or constraints

Robust Design of Microgrids using Component Models with Different Level of Accuracy

International audienceRobust design of microgrids is a complex optimization process requiring multiple simulations in order to integrate uncertainty variables associated with the system environment or design models. In this context, having sufficiently accurate models that are compatible with the optimization algorithms and associated computational costs represents a real challenge. In this paper, we illustrate this through the robust design of a simple microgrid with electrochemical storage. Based on battery models that couple energy efficiency and aging, we develop an approach for choosing the right level of precision to match the microgrid's optimization criteria or constraints

Two waves and a high tide: the COVID-19 epidemic in France

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Analysis of the Li-ion Batteries Modeling Choices For Microgrid Design

International audienceThis paper presents different Li-ion battery models integrating energy efficiency and aging in the frame of microgrid design. More specifically, it compares the quantitative and qualitative differences of the models considering multiple sizings and scenarios associated with a simple microgrid. It also investigates the impacts of each model on two techno-economic criteria: the renewable energy share and net present value related to the microgrid

Analysis of the Li-ion Batteries Modeling Choices For Microgrid Design

International audienceThis paper presents different Li-ion battery models integrating energy efficiency and aging in the frame of microgrid design. More specifically, it compares the quantitative and qualitative differences of the models considering multiple sizings and scenarios associated with a simple microgrid. It also investigates the impacts of each model on two techno-economic criteria: the renewable energy share and net present value related to the microgrid

Emerging dynamics from high-resolution spatial numerical epidemics

International audienceSimulating nationwide realistic individual movements with a detailed geographical structure can help optimise public health policies. However, existing tools have limited resolution or can only account for a limited number of agents. We introduce Epidemap, a new framework that can capture the daily movement of more than 60 million people in a country at a building-level resolution in a realistic and computationally efficient way. By applying it to the case of an infectious disease spreading in France, we uncover hitherto neglected effects, such as the emergence of two distinct peaks in the daily number of cases or the importance of local density in the timing of arrival of the epidemic. Finally, we show that the importance of super-spreading events strongly varies over time

Comparison of Battery Models Integrating Energy Efficiency and Aging for the Design of Microgrids

International audienceThe robust design of microgrids based on optimization methods is a challenging process which usually requires multiple system simulations and implies the use of suitable models ensuring a good compromise between complexity and accuracy. These models also have to include the main couplings within systems, which have a major impact on design criteria and constraints. In this paper, we particularly illustrate this context with regard to the choice of battery models integrating energy efficiency and aging for the design of microgrids. Using a simple case study, we demonstrate the importance of taking into account battery capacity loss due to aging to accurately assess the microgrid's self-sufficiency and cost over its lifetime

COVFlow: phylodynamics analyses of viruses from selected SARS-CoV-2 genome sequences

International audiencePhylodynamic analyses can generate important and timely data to optimise public health response to SARS-CoV-2 outbreaks and epidemics. However, their implementation is hampered by the massive amount of sequence data and the difficulty to parameterise dedicated software packages. We introduce the COVFlow pipeline, accessible at https://gitlab.in2p3.fr/ete/CoV-flow, which allows a user to select sequences from the Global Initiative on Sharing Avian Influenza Data (GISAID) database according to user-specified criteria, to perform basic phylogenetic analyses, and to produce an XML file to be run in the Beast2 software package. We illustrate the potential of this tool by studying two sets of sequences from the Delta variant in two French regions. This pipeline can facilitate the use of virus sequence data at the local level, for instance, to track the dynamics of a particular lineage or variant in a region of interest