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Journal articles
Open Access
Key alkaline wet- and dry- conversion program decisions: an overview, TAPPI JOURNAL, July 1992, Vol. 75(7)

Key alkaline wet- and dry- conversion program decisions: an overview, TAPPI JOURNAL, July 1992, Vol. 75(7)

Journal articles
Open Access
A two-step high-ph/low ph method for improved efficiency of d-stage bleaching, TAPPI JOURNAL, July 1992, Vol. 75(7)

A two-step high-ph/low ph method for improved efficiency of d-stage bleaching, TAPPI JOURNAL, July 1992, Vol. 75(7)

Journal articles
Open Access
Using neutral/alkaline-curing resins to produce wet-strength grades from recycled pulp, TAPPI JOURNAL, July 1992, Vol. 75(7)

Using neutral/alkaline-curing resins to produce wet-strength grades from recycled pulp, TAPPI JOURNAL, July 1992, Vol. 75(7)

Journal articles
Open Access
The flow of coating color in forward-rotating roll coaters, TAPPI JOURNAL, July 1992, Vol. 75(7)

The flow of coating color in forward-rotating roll coaters, TAPPI JOURNAL, July 1992, Vol. 75(7)

Journal articles
Open Access
Shortwood vs. longwood chipping: what impact on chip distribution?, TAPPI JOURNAL, June 1992, Vol. 75(6)

Shortwood vs. longwood chipping: what impact on chip distribution?, TAPPI JOURNAL, June 1992, Vol. 75(6)

Journal articles
Open Access
The effects of fines on offset newsprint linting, TAPPI JOURNAL, May 1992, Vol. 75(5)

The effects of fines on offset newsprint linting, TAPPI JOURNAL, May 1992, Vol. 75(5)

Journal articles
Open Access
Impulse drying: heterogeneous press-roll surfaces offer new product opportunities, TAPPI JOURNAL, May 1992, Vol. 75(5)

Impulse drying: heterogeneous press-roll surfaces offer new product opportunities, TAPPI JOURNAL, May 1992, Vol. 75(5)

Journal articles
Open Access
Lignin functionalization and the alkaline delignification rate, TAPPI JOURNAL, May 1992, Vol. 75(5)

Lignin functionalization and the alkaline delignification rate, TAPPI JOURNAL, May 1992, Vol. 75(5)

Journal articles
Open Access
Influence of dissolved ions on alum cationicity under alkaline papermaking conditions, TAPPI JOURNAL, November 1992, Vol. 75(11)

Influence of dissolved ions on alum cationicity under alkaline papermaking conditions, TAPPI JOURNAL, November 1992, Vol. 75(11)

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.

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