Abstract

This study focused on the development of a scaled-down model for an enclosed vertical-type composting facility designed to efficiently manage space and odors. Through thermal environment monitoring, we observed that the temperature rose to 67 °C on the first day of composting and gradually decreased to 28.9 °C as the composting progressed. Temperature variations based on height were analyzed by dividing the facility into layers. The validation of the model was conducted by comparing actual measurements with model data using contour maps, resulting in a correlation coefficient (R2) of 0.8, indicating the high reliability of the model. The findings demonstrated the effectiveness of the model in identifying and addressing issues in enclosed vertical-type composting facilities. Furthermore, it is anticipated that the model, which analyzes thermal environments, can be applied to automated operation systems for enhanced efficiency.

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