Adaptive model for thermal environment in cotton textile workshop

Abstract

To effectively describe the thermal environment in the cotton textile workshop, an adaptive model named Adaptive Predicted Mean Vote (aPMV) model was adopted. 41 workers with years of work experience and 23 students with rarely entering into the cotton textile workshop were chosen as subjects to obtain their actual thermal sensation in the cotton textile workshop. At the same time, thermal environmental parameters were measured to derive the Predicted Mean Vote (PMV). The adaptive coefficient of the aPMV model can be obtained by the Thermal Sensation Vote (TSV) and the PMV. Once the adaptive coefficient was determined, the adaptive model was built. Then the thermal environment in the cotton textile workshop can be effectively described by the aPMV as soon as the environmental parameters are known. Compared to the PMV model, the aPMV model is more suitable to describe the thermal environment in the cotton textile workshop. According to the actual situation and the relevant standard, the range of aPMV requirement was recommended and applied to a graphic of acceptable zone for the cotton textile workshop, which is potentially valuable for both the studies on thermal environment and the design of air conditioning system for the cotton textile workshop.