Abstract

A refining model is developed to analyses the refining process’s energy efficiency based on the refining variables. A simulation model is obtained for longer-term refining energy analysis by further developing the MATLAB Thermo-Mechanical Pulping Simulink toolbox. This model is utilized to predict two essential variables for refining energy efficiency calculation: refining motor-load and generated steam. The conventional variable for presenting refining energy efficiency is refining specific energy consumption (RSEC), which is the ratio of the refining motor load to throughput and does not consider the share of recovered energy from the refining produced steam. In this study, a new variable, corrected refining specific energy consumption (CRSEC), is introduced and practiced for better representation of the refining energy efficiency. In the calculation process of the CRSEC, recovered energy from the refining generated steam is considered useful energy. The developed model results in 160% and 78.75% improvement in simulation model determination coefficient and error, respectively. Utilizing the developed model and hourly district heating demand for CRSEC calculation, results prove a 22% annual average difference between CRSEC and RSEC. Findings confirm that the wintertime refining energy efficiency is 27% higher due to higher recovered energy in the heat recovery unit compared to summertime.

Highlights

  • Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

  • Energy efficiency analysis and improvement are of the most important issues for energy-dependent industries for the transition toward a more sustainable and energyefficient industry. Their level of production and profitability are strongly affected by the reliability of energy supply as well as fluctuations in energy prices [1,2]

  • The pulp and paper industry is in the fourth place of the most extensive industrial energy consumer worldwide [3]

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Summary

Introduction

Energy efficiency analysis and improvement are of the most important issues for energy-dependent industries for the transition toward a more sustainable and energyefficient industry. Most often, their level of production and profitability are strongly affected by the reliability of energy supply as well as fluctuations in energy prices [1,2]. The pulp and paper industry is in the fourth place of the most extensive industrial energy consumer worldwide [3]. Almost 6% of total industrial energy consumption and 2% of total industrial carbon dioxide emission is attributed to the pulping and papermaking processes [3,4].

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