Borsa Aperta
Borsa Assegnata
C37.CU3.23

Decarbonisation of local energy systems

  • Reference person
    Alberto
    Poggio
    alberto.poggio@polito.it
  • Host University/Institute
    Polytechnic of Turin
  • Internship
    Y
  • Research Keywords
    Energy Communities
    Hardware infrastructure
    Data analysis
  • Reference ERCs
    PE7_2 E
    SH7_5 S
    PE7_8 N
  • Reference SDGs
    GOAL 7: Affordable and Clean Energy
    GOAL 11: Sustainable Cities and Communities
    GOAL 13: Climate Action
  • Studente
  • Co-Supervisor

Description

Suggested skills:

Good knowledge on: energy systems modelling, energy data analysis, energy generation and distribution, energy self-production at user scale (prosumer), renewable energy resources. Base knowledge on: data processing, data analysis and spatial representation software (e.G. Excel, Matlab, R studio, GIS).

Research team and environment

Politecnico di Torino carries out education, research, technological transfer, and services in all sectors of architecture and engineering. The Department of Energy is the point of reference in Politecnico di Torino for the areas of knowledge concerned with energy and sustainable development. The candidate will join the Sustainable Energy Analysis (SEA) and the Computer Aided Design of ElectroMagnetic Apparatuses (CADEMA) research groups that works on local energy planning and on optimization procedures to energy management and network systems.SEA research group is coordinated by prof. Alberto Poggio. Main research topics addressed concern: energy transition at urban and regional scale, energy analysis of industrial processes and cogeneration plants, sustainable supply chains for wood biomass energy, renewable heat for district heating. SEA team integrates a knowledge of energy technologies with multi-scale analysis, from the individual user or plant up to an entire territory, and a multidisciplinary approach, including issues related to climate change, air quality, territorial management, local development.CADEMA research group is coordinated by prof. Maurizio Repetto and groups professors and researchers mainly belonging to the scientific sector of “Principle of Electrical Engineering” with competences in simulation and optimization of complex system by means of evolutionary and neural computation. Analysis tools have been developed for hybrid energy systems and for multi-agent sharing structures as the one of energy community.