On-line partial discharge condition monitoring of complete networks for the pulp and paper industry: Challenges and solutions explained through case studies

Author(s):  
Lewis Dodd ◽  
Riccardo Giussani ◽  
Aaron McPhee ◽  
Andrew Burgess
2014 ◽  
Vol 29 (2) ◽  
pp. 195-200
Author(s):  
Ari Isokangas ◽  
Kari Ala-Kaila ◽  
Aki Sorsa ◽  
Markku Ohenoja ◽  
Kauko Leiviskä

Abstract The objective of this work was to develop a log loading simulator of the wood room in pulp and paper industry. In the first stage the log loading process is modelled. Then the criteria for evaluating the effects of log loading on the wood room performance are defined. The motivation for the research is that log loading can be identified as playing a central role if the production and cost-effectiveness of the wood room is to be increased. The lack of reliable process measurements and changes in raw material quality, which are not measured on-line, make the data-based modelling of an industrial log loading process difficult. For these reasons, the research was performed via mathematical modelling of the process. The simulated results confirm that the same production can be obtained in many ways, but there can be differences in costs. Especially too high speed of the infeed conveyor in relation to capacity leads to several drawbacks, which typically result in increased wood loss and decreased chip quality. For this reason it is important to consider all aspects of log loading for the best performance. The results give insight into the log loading process and may help to improve the log loading process.


Author(s):  
Erik Dahlquist

In this paper the historical perspective of the use of simulation in pulp and paper industry is presented and different applications discussed. Scientific papers as well as research and development work made by suppliers and software vendors is covered. The review covers a number of applications. First data reconciliation, root cause analysis and decision support is covered. This forms the basis for more advanced optimization and control. Physical models are then covered as they are especially good for engineering and design of new processes or the rebuilding of existing processes. As a complement for on-line applications quality property predictions with soft sensors like MVDA, ANN and grey box models are covered. When the process signals have been checked and soft sensors developed it is possible to perform process optimization and model based control and also to develop expert systems for decision support. Simulators also are used for operator training to increase the understanding of the processes as well as the interaction with the DCS system. Finally the future of process simulation in pulp and paper industry is discussed.


TAPPI Journal ◽  
2014 ◽  
Vol 13 (6) ◽  
pp. 19-24
Author(s):  
TROY RUNGE ◽  
CHUNHUI ZHANG

Agricultural residues and energy crops are promising resources that can be utilized in the pulp and paper industry. This study examines the potential of co-cooking nonwood materials with hardwoods as means to incorporate nonwood material into a paper furnish. Specifically, miscanthus, switchgrass, and corn stover were substituted for poplar hardwood chips in the amounts of 10 wt %, 20 wt %, and 30 wt %, and the blends were subjected to kraft pulping experiments. The pulps were then bleached with an OD(EP)D sequence and then refined and formed into handsheets to characterize their physical properties. Surprisingly, all three co-cooked pulps showed improved strength properties (up to 35%). Sugar measurement of the pulps by high-performance liquid chromatography suggested that the strength increase correlated with enriched xylan content.


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