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Closed for application
C38.CU3.07

Assessing green infrastructures’ mitigation effects by geo-data and simulation

  • Reference person
    Francesco
    Causone
    francesco.causone@polimi.it
  • Host University/Institute
    Polytechnic of Milan
  • Internship
    Y
  • Research Keywords
    Green infrastructure
    Numerical modelling
    Geo-reference data analysis
  • Reference ERCs
    PE8_3
    PE8_6
    PE8_11
  • Reference SDGs
    GOAL 3: Good Health and Well-being
    GOAL 11: Sustainable Cities and Communities
    GOAL 13: Climate Action
  • Co-Supervisor

Description

Suggested skills:

The candidate needs to have knowledge and skills on heat transfer and CFD modelling. Some experience with ANSYS Fluent and/or OpenFOAM is welcome. He/she needs to have some skills in data analysis, such as clustering analysis, database investigation. Some knowledge in coding is welcome (e.G., Python, C++, R, Matlab, etc.). Attitude and interest toward sustainability and urban related climate change effects is requested.

Research team and environment

The research team is made of 2 associate professors, 4 Ph.D. Students, and 1 post-doc fellow, all active at the Energy Department of the Politecnico di Milano. The team has a good experience on both energy and CFD analysis of single buildings and urban assemblies and its already supervising M.Sc. And Ph.D. Thesis projects on related topics. The team was involved in a 2-years research project, funded by ENEA, for the development of an experimental technique to assess outdoor climate conditions in urban environments and within this framework it developed a dedicated experimental station to measure all the useful thermo-physical parameters necessary to assess the outdoor climate conditions with high time resolution. The research group is also part of the GEOLab at Politecnico di Milano, that involves several departments interested and active on the use of geo-data for different research purposes. The Lab is part of the wider Copernicus Academy Network. The team is active in 2 EU funded research projects (Sharing Cities and NRG2peers) and is PI of a recently funded PRIN projects (URBEM), all about the modelling of complex urban environments for the creation of smart city services, including energy communities. Within the framework of these projects a substantial expertise on energy and environmental data analysis has been developed, including large database analysis via machine learning techniques. The team also provides industrial consultancy activities, and won as Environmental Expert of the Co-inventing Doria project, the first edition of Reinventing cities contest, for the design of carbon-neutral communities.