Research On Adaptive Expectation Model And Energy Consumption Simulation In Dynamic Thermal Comfort

The adaptive thermal expectation model is proposed in this paper.Based on the existing steady-state model and adaptive model,the model takes into account the cumulative effect of weather and the influence of temperature on the day and predicts more accurately through the concept of human heat expectation.Through three and a half months of summer air-conditioned room adaptability tracking investigation and analysis,the accuracy of the model is verified.At the same time,the building energy consumption is simulated under the dynamic thermal comfort strategy,and the building energy consumption using the model strategy has obvious energy saving effect.The conclusion is as follows:（1）Average outdoor weather temperature T_outafluctuates between 20.6℃and 33.6℃in weather,while average room temperature TA fluctuates between 23.9℃and 27.6℃in room temperature.However,when T_outa fluctuates violently,T_awill show delayed fluctuation,and thermal adaptability exists in the time level of day.（2）Whenα=0.8,T_rm was most correlated with I_cl and PMV.After fitting,the R² values were0.759 and 0.699,respectively,while the R²values obtained by T_outa fitting were 0.467 and 0.515.（3）In view of the shortcomings of T_rm,in order to improve the accuracy and rationality of prediction,this paper made a fitting analysis of T_day8 and T_outa on that day,and found that R²was 0.86,which could replace T_outa for prediction,and proposed T_rm-day8.According to Pearson correlation coefficient,whenβ=0.2,T_rm-day8was most correlated with PMV value,and whenβ=0.3,T_rm-day8 was most correlated with I_cl value.After fitting,R²was 0.713 and 0.836,which were better than T_rm.The prediction of I_cland PMV value needed to consider the influence of the temperature of the day.（4）Energy Plus was used to simulate the energy consumption of an office building in Shanghai.The adaptive expectation model was used to determine the dynamic thermal comfort strategy,which could save 9.8%energy consumption compared with the control strategy of constant temperature at 26℃.