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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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the critical challenges of integrating wind energy into modern power systems, ensuring grid stability and sustainability through multidisciplinary collaboration between 8 beneficiaries and 12 industrial partners
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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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Università degli studi di Roma La Sapienza Dipartimento di Pianificazione Design tecnologia dell'architettura | Italy | 11 days 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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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 critical challenges of integrating wind energy into modern power systems, ensuring grid stability and sustainability through multidisciplinary collaboration between 8 beneficiaries and 12 industrial partners
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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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sector, renewable energies, energy efficiency, storage, and smart grids: 3 points. Experience in research data management plans, ethical and gender aspects in research and research projects, and open
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Experiència en promoció i preparació de propostes nacionals: 7 punts Experiència en el sector de l’energia, energies renovables, eficiència energètica, emmagatzematge i smart grids: 3 punts Experiència en
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/Qualifications Evaluation grid: Criteria Weighting Score for each element or item 1. Technical-Scientific and Professional Performance with relevance in the area of management - 45% 1.1 Research and Development