Decision-support database and tool for the industrial decarbonization in collaboration with IEA

Semester/Master project

Contact: Daniel Flórez-Orrego, daniel.florezorrego@epfl.ch

Semester/Master project in collaboration with International Energy Agency

Objectives

The goal is to develop decision-support databases and tools for the industrial decarbonization and share models with international partners

Profile

• Interest in modeling of industrial and chemical processes, energy conversion systems and energy integration method.
• Some knowledge in Python and Lua is desirable.

Project plan

The study includes:

1. Participation in a collaborative technology program of the IEA
2. Contribution of a database of models and methods for assessing industrial symbiosis
3. Analysis of the role of the industrial process integration in the industry decarbonization
4. Collaborative research with 12+ international partners to develop data-driven models
5. Promotion of technology transfer between industry and researchers

Observation

The project is related to the International Energy Agency and the Task XXIV of the TCP IETS

Sources

See more at: https://iea-industry.org/tasks/

Supervisors

Daniel Flórez-Orrego, daniel.florez.orrego@epfl.ch