Qptimization of energy balances and energy consumption in the P&P industry
| Reference number | |
| Coordinator | Umeå universitet - Institutionen för datavetenskap |
| Funding from Vinnova | SEK 1 100 000 |
| Project duration | January 2014 - September 2014 |
| Status | Completed |
| Venture | Strategic innovation programme for process industrial IT and automation – PiiA |
Purpose and goal
The objective of WP1 was to investigate the possibility to simulate all or part of a paper mill, giving operators and process engineers decision support, verify wireless technology for measurement and make a project application. These goals are met. In WP2, we have developed KPI´s for more industries than what was stated in the application, but have not been able to do any benchmarking as data from two similar industries is lacking. In WP3, the mathematical models for wood drying with indirect moisture meter has been developed and verified.
Results and expected effects
The main objective has been to increase the energy efficiency of the Swedish process industry. WP1 has made a project application for a simulation/prediction platform of a process industry, which can lead to significantly reduced energy consumption. WP2 has developed indicators for eg energy, raw material efficiency, productivity, resulting in increased awareness of the plant´s energy efficiency. WP2 has also made proposals for improved energy efficiency. As a result of WP3 several systems for estimation of moisture content in the timber has been sold, reducing energy consumption
Approach and implementation
WP0. Well-defined work packages has made it possible to do most of the project mgmt remotely. WP1. The simulation part of the study has been done with a number of WS and exploitation of results from other projects. The measuring part was carried out with practical tests. WP2. Discussions with a number of different industries and from them received historical data, process drawings etc. and focus areas for KPI´s. WP3. The mathematical models for wood drying has been verified in five different sawmills at about 50 different drying rates. Models has been adjusted with the help of experiments.