Adriano Vinca

Adriano Vinca is a research scholar in the IIASA Energy, Climate, and Environment (ECE) Program. Since his appointment in 2017, he has worked on modeling the interactions between water-, energy-, land-, and climate systems for policy analysis, while obtaining a PhD (2021) in systems modeling at the Mechanical Engineering Department at the University of Victoria, Canada. His current main research interests include climate change adaptation strategies across the water, energy, and land sectors; studying policy solutions to achieve primary resource access in developing countries; and the synergies between such policies.

At IIASA, he was involved in the Integrated Solutions for Water, Energy, and Land (ISWEL) project, developing an integrated model, the Nexus Solution Tool (NEST), to assess water-energy-land nexus challenges at the river basin scale level. The first application of the model focuses on the Indus river basin and is based on strong stakeholder engagement and interaction. One main point of interest is to disentangle the complexity of multi-sector and international long-term policy planning for sustainable development. Vinca was directly involved in capacity training and dissemination of the NEST framework to partners and stakeholders interested in new applications of the model.

Within ECE, Vinca also contributes to the development of the global MESSAGEix Integrated Assessment Model (IAM) and its modeling platform, and he is interested in connecting models based on the MESSAGEix structure that scope different temporal and spatial scales.

In addition to his PhD, Vinca holds an MSc degree (2017) and a BSc degree (2014) in Energy Engineering from the Politecnico di Milano, Italy. He was a visiting scholar and research assistant at Fondazione Eni Enrico Mattei, where he contributed to the improvement of the WITCH IAM. Part of his work focused on exploring the potential of carbon capture and storage technologies in mitigation scenarios and the associated risk of CO2 leakage, as well as implementing a dedicated module within the WITCH model.


Last update: 26 JAN 2022