Diagnosis and prognosis of complex energy storage systems: tools development and feedback on four installed systems
| Autor: | Vincent Eudier, Fathia Karoui, Tony Delaplagne, Matthias Lévy, Duy-Long Ha, Mohammed-Farouk Bouaaziz |
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| Přispěvatelé: | Département des Technologies Solaires (DTS), Laboratoire d'Innovation pour les Technologies des Energies Nouvelles et les nanomatériaux (LITEN), Institut National de L'Energie Solaire (INES), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de L'Energie Solaire (INES), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Sogeti (FRANCE), Albioma, Corsica Sole, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Institut National de L'Energie Solaire (INES), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2018 |
| Předmět: |
Flexibility (engineering)
Data processing [STAT.AP]Statistics [stat]/Applications [stat.AP] [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] Power station Computer science Cost effectiveness business.industry 020209 energy [SPI.NRJ]Engineering Sciences [physics]/Electric power 02 engineering and technology Grid 7. Clean energy Energy Storage Systems Batteries Diagnosis Statistical analysis Usage analysis Performance indicators Reliability engineering Renewable energy Power (physics) 0202 electrical engineering electronic engineering information engineering Data analysis business |
| Zdroj: | Energy Procedia Energy Procedia, Elsevier, 2018, 155, pp.61-76. ⟨10.1016/j.egypro.2018.11.066⟩ Energy Procedia, 2018, 155, pp.61-76. ⟨10.1016/j.egypro.2018.11.066⟩ |
| ISSN: | 1876-6102 |
| DOI: | 10.1016/j.egypro.2018.11.066⟩ |
| Popis: | International audience; Electrical Storage systems are used since many decades in stand-alone applications. Recently, their use in grid connected renewable energies installations increases not only the flexibility of these systems but also their complexity. The optimization of their operation in these systems is necessary for cost effectiveness and is a technical and scientific challenge. The research and development projects are increasing worldwide to tackle different aspects of these new solutions. This paper presents advanced analysis of some of these systems based on new approaches of data analytics. Four PV-Storage systems have been monitored for three years and an original diagnostic and prognostic tool is developed for the analysis of the performance and defaults of such systems.In addition, the generic approach presented in this paper allowed to have a feedback on the performance of grid connected PV-storage systems with two different storage technologies: Li-ion and NaNiCl2. The efficiency analysis includes the performance of batteries and power conversion systems. So, the objective here is to compare the usage and the performance of electrical storage systems along time within each power plant and also between the monitoring power plants using experts’ knowledge and data processing. |
| Databáze: | OpenAIRE |
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