Joint design of transmission / energy management for energy trading with the electricity-grid
Contact names: Dr. Michele Rossi
Institution: University of Padova
Application deadline:
Description: This project investigates scenarios where the 5G network, besides providing communication to the final user, can also be seen as a provider of the smart electricity grid, with the capabilities of storing, acquiring and selling energy. This entails the utilisation of micro-economic models for smart micro-grids into a comprehensive optimisation framework with the objective of achieving satisfactory communication and energy performance for the 5G network, while allowing its participation in load support/energy balancing policies within the electricity grid.
Expected Results: Understand the role of EH mobile networks into future electricity grids and the economic benefits for the mobile network operator. Define an optimisation framework including micro-economic models, dynamics for the micro-grid and operation of the communication system.
Mobility Schedule: The ESR will be mainly at University of Padova. After 20 months the candidate is expecteced to spend 8 months at Selta spa to investigate new Micro Grids models and communication scenarios, where 5G networks are prosumers of future smart grids under the supervision of Francesco Cesena.
Requirements of the candidate:
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At the time of recruitment, the applicant must not have lived in Italy for more than 12 months in the previous 36 months
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A Master degree in Telecommunications, Computer Science or equivalent
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Once selected by the SCAVENGE consortium for the ESR positions, the applicants must apply for PhD studentship at University of Padova.
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Knowledge on mobile networks, sensor networks, big data
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Knowledge on energy systems and management
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Ability and motivation to conduct high-quality research, including publishing the results in relevant venues
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Strong programming skills (e.g. C/C++, Java, Python).
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Working experience in the areas of Mobile Networks, Sensor Networks, Smart Grid, Energy Harvesting, Big Data management, Cloud computing is an advantage.
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Knowledge on Optimization Theory is an advantage.
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Knowledge on Energy grid architecture is an advantage.
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Very good communication skills in oral and written English.
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Open-mindedness, strong integration skills and team spirit.