The overarching objective of this study is to calculate the thermal influence of a non-air-conditioning space to air-conditioning space when we model only an air-conditioned room. The previous paper (Part 1), we propose the "exterior wall replacement method for a non-air-conditioning zone" as a new algorithm that takes into consideration the thermal influence of a non-air-conditioning space. However, this method can not calculate thermal load of direct solar radiation and heat generation from outer walls in a non-air-conditioning room. Therefore, in this paper (Part 2), we modify "the exterior wall replacement method of non-air-conditioning zone" and resolve above problems. We verify the accuracy of the improved method in a side core office model and show that the method is effective.
The authors have measured the energy consumption and the loads of hot water consumption in houses that have been set up with the model of CO_2 heat pump water heater (2005, 2006, 2008 model). This paper proposes the calculation method to estimate energy consumption and coefficient of performance (COP) on the CO_2 heat pump water heaters using computer simulation. There are many factors affecting the energy consumption and COP. The relationships among these factors are studied by regression analysis, and the calculation methods are developed with the regression formulas. As the result of comparison of the estimated and measured values, it is clarified that the calculation method accurately estimates the fluctuation of energy consumption and COP. The usage of function for reheating bathwater has an effect on the running performance of CO_2 heat pump water heater.
The effect of occupants' behaviors, such as changing room set temperature and opening/closing curtains on the heating/cooling load of a dwelling in a residential building was investigated based on the building energy simulation coupled with a stochastic model for the interdiurnal variation of behavior schedule. The results revealed that the influence of the change of room set temperature on the peak values is much smaller than that on the annual total of the heating/cooling load.