Review: Effects of wood quality and refining process on TMP pulp and paper quality

Li, Bin; Li, Haiming; Zha, Quanqing; Bandekar, Rohan; Alsaggaf, Ahmed; Ni, Yonghao

doi:10.15376/biores.6.3.3569-3584

Cited by 11 publications

(1 citation statement)

References 5 publications

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“…The disc refining process is a widely used technology in the pulp and paper industry due to its effectiveness in breaking down woody biomass to fibers . Many researchers reported studies on disc refining for pulping processes. − However, it is also an energy-intensive process.…”

Section: Introductionmentioning

confidence: 99%

Impact of Mechanical Refining Conditions on the Energy Consumption, Enzymatic Digestibility, and Economics of Sugar Production from Corn Stover

Li,

Davis,

Tan

et al. 2023

ACS Sustainable Chem. Eng.

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Reducing the energy intensity of the mechanical refining-based pretreatment process for producing lignocellulosicderived sugars without significantly affecting enzymatic hydrolysis sugar yields is challenging. This work investigated the impact of different refining conditions on energy consumption, enzymatic sugar yields, minimum sugar selling price, and environmental impacts for the conversion of corn stover to sugars. A positive proportionate correlation between specific energy consumption and enzymatic sugar yields was observed when changing the refiner plate gap was changed, which agrees with other reported works. However, the correlation between specific energy consumption and enzymatic sugar yields is not straightforward when the rotational speed and refiner plate design change. We observed that, for a corn stover material with low consistency disc refining, specific energy consumption decreased by >50% by decreasing the rotation speed without affecting enzymatic sugar yields. By changing refiner plate designs, a 45% reduction in specific energy consumption could be achieved without affecting the glucose yield, albeit still with a detrimental impact on the xylose yield. Our high-fidelity disc refining model was able to predict the energy consumption for different refiner plate geometry designs and operating conditions. Techno-economic and life-cycle analyses indicate that the plate design and operating conditions have a direct impact on overall process power consumption and sugar yields, with sugar yields strongly dictating the minimum sugar selling price, the life cycle greenhouse gas emissions, and fossil energy consumption. To minimize the environmental impact and maximize process economics, optimization of the mechanical refining process should target maintaining high sugar yields, while lowering refining energy consumption.

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Section: Introductionmentioning

confidence: 99%

Impact of Mechanical Refining Conditions on the Energy Consumption, Enzymatic Digestibility, and Economics of Sugar Production from Corn Stover

Li,

Davis,

Tan

et al. 2023

ACS Sustainable Chem. Eng.

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Production of dissolving pulp from Eulaliopsis binata with the concept of integrated biorefinery

Zhang

Yuan

et al. 2018

Cellulose

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Soft Sensors for Pulp Freeness and Outlet Consistency Estimation in the Alkaline Peroxide Mechanical Pulping (APMP) High-Consistency Refining Process

Zhang¹,

Li²,

Liu³

et al. 2016

BioResources

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In the mechanical pulping process, some process state and product quality variables are difficult to measure on-line. In this paper, soft sensors were used to estimate Canadian Standard Freeness (CSF) and outlet consistency (Cout) after the high consistency refining stage of the alkaline peroxide mechanical pulping (APMP) process. After the secondary variables for modeling that are readily available processed measurements in pre-treatment and the HC refining stage was selected, models based on the case-based reasoning (CBR) method were developed to estimate CSF and Cout. The ability of CBR soft sensors to predict CSF and Cout was tested using data collected from an APMP mill, and the results were satisfactory. Additionally, two typical soft sensor methods that back propagation network (BP) algorithms and support vector regression algorithms (SVR) were employed to predict CSF and Cout and evaluate the performance of the CBR soft sensor. As a result, the proposed soft sensor demonstrated a better performance than the BP method and can be regarded as of comparable quality to the SVR method.

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Review: Effects of wood quality and refining process on TMP pulp and paper quality

Cited by 11 publications

References 5 publications

Impact of Mechanical Refining Conditions on the Energy Consumption, Enzymatic Digestibility, and Economics of Sugar Production from Corn Stover

Impact of Mechanical Refining Conditions on the Energy Consumption, Enzymatic Digestibility, and Economics of Sugar Production from Corn Stover

Production of dissolving pulp from Eulaliopsis binata with the concept of integrated biorefinery

Soft Sensors for Pulp Freeness and Outlet Consistency Estimation in the Alkaline Peroxide Mechanical Pulping (APMP) High-Consistency Refining Process

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