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Field
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tentatively entitled “Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing”, and will address “to what extent V2G
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and tentatively entitled "Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing", and will address
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systems on the path towards a sustainable future. The position is initially limited to 6 months, but can be extended (there is funding for up to 4 years). You can expect: Creation of optimization models
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Research Infrastructure? No Offer Description Interested to push the technological limits of energy kites and contribute to the industrialization of a promising disruptive renewable energy technology
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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engines Investigating optimization algorithms for heterogeneous architectures (e.g. AI engines in combination with programmable logic) Deployment of optimization algorithms for energy optimization and
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storage systems (ESSs), and electric vehicles (EVs) that collectively form a local energy community (EC). ECs are supposed to facilitate direct peer-to-peer (P2P) energy trading mechanisms to optimize
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position aims to conduct holistic modelling and analysis of integrated energy systems to reach optimal system performance while incorporating various sustainable energy infrastructures. Potential research
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team of researchers with expertise in thermodynamics, process design, energy system optimization, and life cycle assessment, working collaboratively with research and industry partners. You will work in
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About the Project Project details: The Southwest of the UK, particularly Cornwall, possesses some of the nation's strongest renewable energy resources, yet continues to face significant challenges