Increased precision in the pulp industry with digital prognosis tools in the forest-to-mill value chain (DigiPulp)
|Coordinator||Stift Skogsbrukets Forskningsinstitut Skogfor - Skogforsk Stiftelsen Skogsbrukets Forskningsinstitut Uppsala|
|Funding from Vinnova||SEK 3 211 000|
|Project duration||October 2020 - September 2023|
|Venture||Strategic innovation programme for process industrial IT and automation – PiiA|
|Call||PiiA: Digitalization of industrial value chains, spring 2020|
Purpose and goal
The project aims at linking the forest and the pulp industry with digital property declarations and models that predict process and product parameters based on variations in the raw material flow to the process.
Expected results and effects
The project shall deliver tools that describe how relevant forest raw material properties of pulpwood and sawmill chips vary with deliveries to pulp industries. The project shall also deliver models to predict how process parameters in mechanical and chemical pulp production and different quality measures will vary over time dependent on variations in raw material properties. The tools developed constitute a demonstrator. The project is expected to contribute to more efficient pulp processes, decreased energy and resource use and pulp/paper with more homogenous quality.
Planned approach and implementation
The work will be performed during a total of 36 months, divided into a number of work packages, where core parts deal with describing pulpwood and sawmill chips, studying correlation with process and quality parameters and develop a common demonstrator used for testing and evaluation. Factory trials will also be conducted.