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Università degli studi di Roma La Sapienza Dipartimento di Pianificazione Design tecnologia dell'architettura | Italy | 29 minutes ago
Description he Project is aimed at developing an "Energy Intelligence Data Platform" applied to the management of smart grids that optimize the production from Renewable Energy Sources (RES) and the uses
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reactive power reserves of synchronous and converter-based generators; (ii) tap-staggering; (iii) reactor/capacitor banks switching etc. The tasks to be developed are: (a) grid model data processing and
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for Vehicle-to-Grid (V2G) systems based on electric vehicles and fuel cell vehicles (FCEVs), with the goal of optimizing the interaction between vehicles and the electrical grid. In particular, the research
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the opportunity to lead research that addresses the technical challenges of large-scale electrification and grid integration. Information As an Assistant/Associate Professor, you will: Lead research on grid
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of renewable energy into the power grids is increasingly influenced by self-consumption, local storage, and electromobility. Knowing the feed-in is important for grid operators to ensure operational control and
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
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Posting Details Posting Details Job Title CAER Director Associate Requisition Number RE52006 Working Title Associate Director, Intelligent Systems for Grid Reliability Department Name 40550:Ctr
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, CSS3 and PHP. Excellent knowledge of databases management (postgresSQL and Neo4j). HPC queue systems, virtual environments (OpenNebula, Proxmox) and Grid Containers (Docker, Singularity). Highly
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switchgear demonstrators, including a 12 kV Medium Voltage DC Circuit Breaker https://euprojectmission.net/ . The consortium is led by SINTEF and involves 12 partners: 2 manufacturers, 4 grid operators, 5
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environment capable of predicting the most convenient location to place the electric vehicle (EV) charging stations and optimize both the usage of the power grid resources, and the charging stations