Delete search term

Header

Main navigation

Ecological and economic process optimization in cement production through machine learning

Description

The goal of this Industry 4.0 project is to stabilize and optimize the clinker burning process in a cement plant using machine learning and improved process analytics. This significantly reduces emissions of carbon dioxide, ammonia and nitrogen oxides, improves clinker quality and reduces the consumption of thermal and electrical energy. The project makes a significant contribution to climate and environmental protection.

Key data

Projectlead

Project team

Peter Bolt, Raffael Künzi, Prof. Dr. Rudolf Marcel Füchslin, Matthias Bürki, Mohammed Motich, Dr. Mathieu Antoni, Marc-Aurèle Finger

Project partners

Ciments Vigier SA

Project status

completed, 09/2021 - 09/2024

Institute/Centre

Institute of Applied Mathematics and Physics (IAMP)

Funding partner

Innovationsprojekt / Projekt Nr. 54692.1 IP-ENG

Project budget

670'000 CHF