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DECODE

Project ID

Full name

DECODE: Data-Driven Best-Practice for Energy-Efficient Operation of Industrial Processes

Funding period:

09/2022-08/2026

EC contribution:

DKK 15.300.000

Coordinator:

SDU Center for Energy Informatics

Website:

www.sdu.dk/en/forskning/centreforenergyinformatics/research-projects/decode

DECODE develops an IoT, edge computing, and cloud-based software platform for data-driven best-practice identification in the manufacturing and process industry. The project aims to support automatic collection and analysis of energy consumption and production data in order to identify operational practices that reduce energy use and CO2 emissions while maintaining product quality and process throughput. The project is directly relevant to JP EEIP because it focuses on energy-efficient operation of industrial processes through digitalization and data-driven decision support.

Funding agency:
EUDP

Partners

Contact

Prof. Zheng Grace Ma SDU CEI Project Manager: