In 2019, approximately 79% of global GHG emissions came from the sectors of energy, industry, transport, and buildings (IPCC 2023). Renewable energy, energy efficiency (technological and behavioral) measures, transport electrification, distributed energy production, bioenergy new energy vectors, CCS (Carbon Capture and Storage) energy storage are energy transition options with different costs and effectiveness on GHGs and atmospheric pollutant emissions.The research activity aims at the study, definition, implementation of methodologies to structure multidisciplinary knowledge in Integrated Assessment Models to design energy transition policies, optimizing environmental objectives (CO2 emissions neutrality at 2050 and air quality improvement) and economic values (technological costs of primary and secondary energy carriers, health benefits), assessing the health impacts.The research will assess measures in road traffic, heating, shipping, hard-to-abate industry, waste treatment, agriculture and energy production and conversion, CCS. Database and models will be collected, developed and tested over Northern Italy.
Mathematical modelling (fundamentals). Use (fundamentals) of office, statistical, mathematical software suites. Interest in interdisciplinary contamination. Teamwork aptitude.
The Integrated Assessment Modelling Lab is a research group at DIMI-UNIBS. The group has a twenty-year experience in descriptive (prognostic and data-driven) and decision (multi-objective, cost-effective, cost-benefit, multi-criteria) modelling of environmental systems and Integrated assessment modeling. The research group is involved in national and EU project aiming at identifying air quality and low carbon efficient policies (including energy, end-of- pipe and behavioral measures) and assessing population exposure and health impact. The group cooperates with atmospheric chemistry and physics, technology, socio-economics, health impact experts.