In the face of strong competition, the pulp and paper industry is aiming at higher pro"tability through increased productivity and the reduction of costs. In addition, on the global scale the industry is facing increasing market demands for higher product quality, more specialty products and improved production #exibility and environmental protection. Consequently, extensive research is being conducted to improve existing processes. One alternative, which is gaining increasing attention within the industry, is the improved control of existing processes by means of intelligent systems. In this paper, an intelligent kiln control system is presented. In the system, neural network models are used in conjunction with advanced high-level controllers based on fuzzy logic principles and a novel linguistic equation approach. Finally, the testing results of the system are presented and discussed.

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Substantial advances in air emission control technology during the last decade have brought about a decrease in reduced-sulfur emissions from pulp mills. UnfortunateLy, these reduced-sulfur compounds still cause subjective odor problems at very low concentrations. As a resultpulp mills, even with eficient odor abatement systems, may produce a foul odor in the surrounding area. On the other hand, it will not be easy to further reduce the malodorous sulfur emissions at modern pulp mills because all the major emission sources have already been eliminated. This paperpresents the results of afield survey made at one of the major Finnishpulp mills. In the study, all the main emission sources were analyzed, and the ambient air concentrations of reduced-sulfir compound in the area surrounding the mill were measured. Emission ratesfrom the current sources and measured ambient air concentrations are p resented. The effects of the main continuous emission sources on ground level concenpations are estimated by means of a Gaussian model of emission dispersion. In addition, the emission sources are ranked on the basis of the estimatedground level concentrations and the momentary emission rates. Finally, means of reducing the current continuous and occasional emissions ofreduced-su@r are recommended.

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