Plan :
- Introduction
- Données : Sources et profil de consommation
- Modélisation du système
- Optimisation du dimensionnement
- Évaluation des performances
- Analyse du cycle de vie
- Conclusion et Perspectives
Étiquette : assessment
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Étude d’un système hybride éolien photovoltaïque avec stockage : dimensionnement et analyse du cycle de vie
RÉSUMÉ :
Dans ce papier, nous présentons l’étude d’un système hybride éolien photovoltaïque avec stockage pour un habitat résidentiel de 4 personnes à La Rochelle en France. Cette étude comprend le dimensionnement du système, l’évaluation de ses performances ainsi que l’analyse économique et environnementale de son cycle de vie. Les résultats montrent un impact environnemental faible et un coût raisonnable du point de vue économique.
ABSTRACT :
In this paper, a study of an autonomous hybrid PV-Wind-battery system for a residential house of 4 persons in La Rochelle in France is presented. It includes system design optimization and performance evaluation in addition of its economic and environmental life cycle analysis. The results show a low environmental impact and a reasonable economic cost of the system.
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Estimation of Wind Turbine and Solar Photovoltaic Energy Using Variant Sampling Intervals
RÉSUMÉ / ABSTRACT :
Renewable energy sources have a variable nature and are greatly dependingon weather conditions. The load is also uncertain. Hence, it is necessary to use power reserve equipment to compensate unforeseen imbalances between production and load. However, this power reserve must be ideally minimized in order to reduce the system cost with a satisfying security level. The quantification of power reserve could be calculated through analysis of forecasting uncertainty errors of both generation and load. Therefore, in this paper, a back propagation artificial neural network approaches is derived to forecast solar radiations. Predictions have been analyzed according to weather classification. Some error indexes have been introduced to evaluate forecasting models performances and calculate the prediction accuracy. Forecasting results can be used for decision making of power reserve for renewable energy sources system with some probability or possibility methods.