11 research outputs found

    Evaluation et modelisation des bruits : Cas du bruit thermique dans les cellules des filtres electriques analogiques.

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    The thermal noise has been valued in cells of analogical electric filters in order to take account of it in the realization of these. Indeed filters are as source of noise susceptible to influence the filtered signals. The effect of the temperature generates the thermal noise whose assessment is a fundamental importance to know in the realization of the analogical electric filters. Le bruit thermique a Ă©tĂ© Ă©valuĂ© et modĂ©lisĂ© dans les cellules de filtres Ă©lectriques analogiques afin d’en tenir compte dans la rĂ©alisation de celles-ci. En effet les filtres sont aussi source de bruit susceptibled’influencer les signaux filtrĂ©s. L’effet de la tempĂ©rature engendre le bruit thermique dont l’évaluation est d’une importance capitale Ă  connaĂźtre dans la rĂ©alisation des filtres Ă©lectriques analogiques

    Planification optimisee des reseaux electriques par la methode des algorithmes genetiques avec prise en compte uniquement de l’insertion des sources d’energies electriques renouvelables (eolien, solaire photovoltaïque et hydroelectrique)

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    La planification des rĂ©seaux Ă©lectriques est la recherche de la solution optimale qui correspond au minimum d’un ensemble de fonctions coĂ»ts liĂ©es aux diffĂ©rentes configurations possibles. Dans cet article, l’insertion des sources d’énergie Ă©lectrique renouvelables (Ă©olien, solaire photovoltaĂŻque, hydroĂ©lectrique) dans un systĂšme Ă©lectrique existant a Ă©tĂ© planifiĂ©e par la mĂ©thode des algorithmes gĂ©nĂ©tiques en codage rĂ©el. L’objectif principal de cette planification est l’optimisation des coĂ»ts de production de ces sources d’énergie Ă©lectrique renouvelables et de transit de puissance dans les lignes du rĂ©seau lors de leur insertion dans le rĂ©seau Ă©lectrique en tenant compte de la quantitĂ© maximale de tonne de CO2 Ă©vitĂ©e pour la protection de l’environnement. Une simulation a Ă©tĂ© faite avec un rĂ©seau IEEE Ă  06 noeuds.Mots clĂ©s: Planification, optimisation, coĂ»t d’insertion, sources de production d’énergies Ă©lectriques renouvelables, transit de puissance, algorithmes gĂ©nĂ©tiques.The power system planning is research of the optimal solution corresponding to a set of minimum cost function related to the different possible configurations. In this paper, the insertion of renewable power sources (wind, solar photovoltaic, hydroelectric) in an existing electrical system was planned by the method of genetic algorithms in real coding. The main objective of this planning is the optimization of production costs of these renewable energy sources and electric power flow in the network lines when these power sources are inserted into the grid, taking into account the maximum quantity of ton CO2 avoided for environmental protection. A simulation was done with an IEEE network of 06 nodes.Key words: Planning, optimization, insertion cost, sources of renewable electric energy production, power flow, genetic algorithms

    Solar ultraviolet radiation in a changing climate

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    The projected large increases in damaging ultraviolet radiation as a result of global emissions of ozone-depleting substances have been forestalled by the success of the Montreal Protocol. New challenges are now arising in relation to climate change. We highlight the complex interactions between the drivers of climate change and those of stratospheric ozone depletion, and the positive and negative feedbacks among climate, ozone and ultraviolet radiation. These will result in both risks and benefits of exposure to ultraviolet radiation for the environment and human welfare. This Review synthesizes these new insights and their relevance in a world where changes in climate as well as in stratospheric ozone are altering exposure to ultraviolet radiation with largely unknown consequences for the biosphere

    High-Accuracy Theoretical Thermochemistry of Atmospherically Important Nitrogen Oxide Derivatives

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