Process Parameters Optimization for Energy Saving in Paper Machine Dryer Section

Li, Yugang; Liu, Huanbin; Li, Jigeng; Tao, Jinsong

doi:10.1080/07373937.2010.548617

Cited by 14 publications

(11 citation statements)

References 19 publications

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“…Process control, in some cases, can maintain or even improve the quality with less energy cost. For instance, [15] optimized the process parameters of a paper machine's dryer section to reduce the steam consumption in the multi-cylinder dryer and to decrease the loads of centrifugal blowers.…”

Section: Process Control and Optimization Methodsmentioning

confidence: 99%

Methodology – A Review of Intelligent Manufacturing: Scope, Strategy and Simulation

Sun

2018

Communications in Computer and Information Science

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This paper presents a critical review of some existing modelling, control and optimization techniques for energy saving, carbon emission reduction in manufacturing processes. The study on various production issues reveals different levels of intelligent manufacturing approaches. Then methods and strategies to tackle the sustainability issues in manufacturing are summarized. Modelling tools such as discrete (dynamic) event system (DES/DEDS) and agent-based modelling/simulation (ABS) approaches are reviewed from the production planning and control prospective. These approaches will provide some guidelines for the development of advanced factory modelling, resource flow analysis and assisting the identification of improvement potentials, in order to achieve more sustainable manufacturing.

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Section: Process Control and Optimization Methodsmentioning

confidence: 99%

Methodology – A Review of Intelligent Manufacturing: Scope, Strategy and Simulation

Sun

2018

Communications in Computer and Information Science

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“…The energy use for the drying section in Chinese paper machine has been studied in a number of papers. [162][163][164][165][166][167] Exergy analysis was use to increase waste heat recovery reducing the energy use by 4.6%, [162] optimizing the process parameters for a newsprint machine reduced steam consumption by 8%, [163] a detailed static model of the paper dryer showed that the air supply temperature could be reduced from 112 to 100 C resulting in a specific heat reduction by 3.3%. [164] Chen et al [165][166][167] performed a similar detailed analysis of the dryer section showing that the total steam consumption for one machine could be reduced from 1.82 to 1.50 ton of steam per ton of water evaporated.…”

Section: Energy Usementioning

confidence: 99%

Drying of paper: A review 2000–2018

Stenström

2019

Drying Technology

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Drying of paper during 2000-2018 is reviewed. The review includes new drying processes, multi-cylinder dryers, tissue and impingement drying, TAD-drying, infrared drying and energy use for drying of paper. It includes general aspects of infrared dryers but not drying of coated papers. Paper quality aspects, paper shrinkage and paper isotherms are not included. Impingement drying has been the most successful new technology with several applications while others such as impulse drying has not been commercialized mainly due to problems with paper quality parameters. One promising development is the introduction of steel instead of cast iron cylinders with increased heat transfer reducing the number of cylinders. Future research should focus on modeling the internal transport phenomena and to couple these phenomena to paper shrinkage and quality parameters. The influence of the fabric for the drying process needs more attention, understanding the drying process for new components such as microfibrillar cellulose in the stock and reducing energy use and increasing the amount of renewable energies for drying of paper.

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“…Mathematical programming methods based on the mass and energy balance are the most common approaches for energy optimization of the paper drying processes [7]. The first computerized design application established in the 1980s, used a sequential modular method in order to minimize energy use in heat recovery connecting to thermodynamic models [5].…”

Section: Introductionmentioning

confidence: 99%

“…Pettersson and Soderman [11] carried out the economic analysis and studied the impacts of cost factor variations to optimize the heat recovery systems in paper machines. Li et al, [7] developed a NLP method for integration of steam and air systems to parameter optimization of the energy usage in a multi-cylinder dryer section of a newsprint and liner board machine. In order to analyze the modeling, the dryer section was divided into different modules based on their functions and the simultaneous modular method was applied to optimize process design and operation.…”

Section: Introductionmentioning

confidence: 99%

“…In the present study a simulation program based on the NLP method was used to optimize the drying parameters and examine the heat recovery performance in the fluting multi-cylinder dryers. In order to analyze the NLP model in detail, similar to the work of Li et al [7], the multi-cylinder dryer section was divided into different blocks depending on their functions.…”

Section: Introductionmentioning

confidence: 99%

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Optimization for energy consumption in drying section of fluting paper machine

2017

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Non-linear programming optimization method was used to optimize total steam and air consumption in the dryer section of multi-cylinder fluting paper machine. Equality constraints of the optimization model were obtained from specified process blocks considering mass and energy balance relationships in drying and heat recovery sections. Inequality constraints correspond to process parameters such as production capacity, operating conditions, and other limitations. Using the simulation, the process parameters can be optimized to improve the energy efficiency and heat recovery performance. For a corrugating machine, optimized parameters show the total steam use can be reduced by about 11% due to improvement of the heat recovery performance and optimization of the operating conditions such as inlet web dryness, evaporation rate, and exhaust air humidity, accordingly total steam consumption can be decreased from about 1.71 to 1.53 tonnes steam per tonne paper production. The humidity of the exhaust air should be kept as high as possible to optimize the energy performance and avoid condensation in the pocket dryers and hood exhaust air. So the simulation shows the supply air should be increased by about 10% to achieve optimal humidity level which was determined about 0.152 kgH 2 O/(kg dry air).

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Process Parameters Optimization for Energy Saving in Paper Machine Dryer Section

Cited by 14 publications

References 19 publications

Methodology – A Review of Intelligent Manufacturing: Scope, Strategy and Simulation

Methodology – A Review of Intelligent Manufacturing: Scope, Strategy and Simulation

Drying of paper: A review 2000–2018

Optimization for energy consumption in drying section of fluting paper machine

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