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Journal articles
Open Access
Z-direction fiber orientation in paperboard, TAPPI JOURNAL October 2010

Z-direction fiber orientation in paperboard, TAPPI JOURNAL October 2010

Journal articles
Magazine articles
Open Access
Three-dimensional pore structure visualization and character

Three-dimensional pore structure visualization and characterization of paper using X-ray computed tomography, TAPPI JOURNAL September 2017

Journal articles
Magazine articles
Open Access
On the nominal transverse shear strai to characterize the severity of creasing, TAPPI JOURNAL April 2018

On the nominal transverse shear strai to characterize the severity of creasing, TAPPI JOURNAL April 2018

Journal articles
Open Access
Forming fabric weave-scale variations in paper filler content, TAPPI JOURNAL November 2013

Forming fabric weave-scale variations in paper filler content, TAPPI JOURNAL November 2013

Journal articles
Open Access
Data driven modeling to reduce fossil fuel consumption in a lime kiln integrated with biomass gasifier, TAPPI Journal September 2026

ABSTRACT: Biomass gasification, although already known and applied, is currently being consolidated as a sustainable alternative in the pulp industry, contributing to the reduction of fossil carbon dioxide (CO2) emissions and to the utilization of forest residues. In this context, pulp mills are beginning to adopt biomass gasification within their chemical recovery cycles by integrating the technology with lime kilns. However, further process studies are still needed to support and optimize this application. Thus, the present study aimed to analyze lime mud feed temperature by applying an artificial neural network model to a gasification system integrated with a lime kiln. For this evaluation, 10 periods of system stability throughout 2024 were selected under different operational conditions. Data from 28 potential predictive variables were collected, a total of 348 observations. This dataset was then processed using R software, where data treatment and model dimensionality reduction were performed, resulting in 10 predictive variables between gasifier and kiln. Next, the dataset was randomly divided into training (70% of the observations) and testing data. The established neural network model (using “neuralnet” package) was optimized, resulting in a configuration containing one hidden layer with three neurons. This setup enabled optimal estimation of the flue gas kiln outlet temperature, with mean absolute error (MAE) = 3.0°C and root mean square error (RMSE) = 4.1°C, applying the resilient backpropagation algorithm with backtracking — both below the thermocouple’s measurement error (±5.0°C) for the evaluated average temperature range (668.2°C). When the same dataset was modeled using the resilient backpropagation algorithm without backtracking, even better results were achieved: MAE = 2.5°C and RMSE = 3.7°C. Thus, after evaluating these and other configurations, it was concluded that the best model required 10 predictive variables and the backpropagation algorithm without backtracking to determine flue gas kiln outlet temperature. These results provide a better understanding of how gasifier and kiln variables influence the temperature in the lime kiln, which is essential to improve control and optimize the calcination process, avoiding supplementary fossil fuel consumption.

Journal articles
Open Access
Biomass gasification for green ammonia production in kraft mills, TAPPI Journal September 2026

ABSTRACT: As the global energy sector transitions toward net-zero emissions, kraft pulp mills present a compelling opportunity to produce green fuels and achieve net-negative emissions by capturing biogenic carbon, helping offset hard-to-abate sectors. This study explores the techno-economics of integrating biomass gasification for green ammonia production within kraft mills, using KraftSIM modeling to evaluate ammonia production, steam balance, emissions, and utility impacts. The proposed design enables energy and water system integration with the existing mill and allows for a gradual scale-up without disrupting the chemistry and operation of the recovery cycle. Across five scenarios representing different biomass gasification rates ranging from 100 to 1000 bone-dry metric tons per day (BDMT/d), the process yields ammonia at approximately 0.51 metric tons per bone-dry metric ton (t/ BDMT), while generating significant low- and medium-pressure steam and hot water that offset mill utility demands. The incineration of pressure swing adsorption tail gas and ammonia plant purge gas in the power boiler reduces biomass combustion and enhances power boiler efficiency. Economic analysis suggests a net revenue potential of approximately CA$380/BDMT, which could increase with the implementation of biogenic carbon pricing. Overall profitability is strongly influenced by biomass procurement costs, electricity prices, and prevailing green fuel and chemical market premium. This work outlines a practical, near-term decarbonization pathway for kraft mills by coupling green fuel production with potential opportunities for carbon removal.

Journal articles
Open Access
Changes in forests and their relationship to air quality, TAPPI JOURNAL April 1988 88APR103

Changes in forests and their relationship to air quality, TAPPI JOURNAL April 1988

Journal articles
Open Access
Nonwovens: the state of the art, TAPPI JOURNAL April 1988 88APR115

Nonwovens: the state of the art, TAPPI JOURNAL April 1988

Journal articles
Open Access
The state of the art of microfiltration-Current and future applications, TAPPI JOURNAL April 1988 88APR123

The state of the art of microfiltration-Current and future applications, TAPPI JOURNAL April 1988

Journal articles
Open Access
Recent developments in pressure-sensitive adhesives, TAPPI JOURNAL April 1988 88APR129

Recent developments in pressure-sensitive adhesives, TAPPI JOURNAL April 1988

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