We aim at optimizing renewable energy consumption and enhancing sustainable freshwater production by innovative technologies and advanced materials. To this, solar energy is used beyond traditional applications, with a specific focus on passive water desalination as a cost-effective solution.
The research begins by gaining a comprehensive understanding of thermodynamics across different scales and progresses to test proof-of-concept prototypes. Realistic assessments are conducted to evaluate economic, environmental, and social sustainability factors under actual conditions. Through innovative approaches, the activity strives to contribute to the Sustainable Development Goals by providing reliable and affordable solutions to the energy-water nexus challenge.
The research concentrates on the advancement of simulation and characterization tools for nanomaterials. These materials possess unique properties suitable for thermal and energy applications. By employing computational multi-scale tools aided by machine learning, the research aims to gain insights into the properties and functionalities of nanomaterials. This includes developing composites with improved thermophysical properties, engineered surfaces that enhance heat transfer, and nanoporous materials with tailored heat and mass transfer response. Molecular dynamics simulations examine nanoscale interfacial properties, while mesoscopic simulations scale up atomistic responses to calculate effective material properties. Continuum simulations and machine learning aid in sensitivity analysis and optimization of nanomaterial properties.
Supervisors:
Prof. Matteo Fasano
Prof. Eliodoro Chiavazzo
Prof. Pietro Asinari
Link: https://www.denerg.polito.it/it/la_ricerca/gruppi_di_ricerca/gruppo_di_ricerca_m3es