Coordinating optimization of complex industrial processes.
Project COCOP: Coordinating optimization of complex industrial processes.
The vision of COCOP is that complex process-industry plants are optimally run by operators with the guidance of a coordinating, real-time optimization system. COCOP strengthen the global position of the European process industry, which represents 20 per cent of the European manufacturing base with around 450,000 companies generating €1.6 billion in turnover and 6.8 million jobs.
The project’s objective is to enable plant-wide monitoring and control by using the model-based, predictive, coordinating optimization concept in integration with plant’s automation systems. This ambitious approach is developed and verified in co-operation of European universities, research institutes and industry. The Consortium comprises two universities, three research organizations, the leading copper-plant technology provider, two large companies from the process industry (steel and special chemicals) and four SMEs providing automation solutions.
Technical objective is to define, design and implement a concept that integrates existing industrial control systems with efficient data management and optimization methods and provides means to monitor and control large industrial production processes. The plant-wide monitoring and control comprehend computationally intensive data analysis and large-scale optimization. The social objective is to improve operator plant-wide awareness and reduce mental workload.
COCOP liaises with standardization bodies (automation) to ensure a sustained impact of the project’s results. Commercialization of the solution by its process-automation industry partners will allow plant operators to approach optimal production and result in reduced energy and resource consumption, and decreased on-site material handling.
Our main tasks
- Optimization and implementation
2-CONTROL APS | DSM CHEMICAL TECHNOLOGY | IDENER.AI | MSI GRUPO (MONDRAGON SISTEMAS DE INFORMACION SOCIEDAD COOPERATIVA) | OPTIMATIONAB | OUTOTEC OY | SIDENOR | TAMPERE UNIVERSITY | TECHNISCHE UNIVERSITÄT DORTMUND | TECNALIA | VDEH-BETRIEBSFORSCHUNGSINSTITUT GMBH (BFI) | VTT
Start date – finish date
10 / 2016 - 03 / 2020
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nº 723661