Abstract
Many studies have investigated the accuracy of the numerical parameters in the application of the quasi steady-state calculation method. The aim of this study is to derive the reference numerical parameters of the ISO 13790 monthly method by reflecting the surface-to-volume (S/V) ratio and the characteristics of the structures. The calculation process was established, and the parameters necessary to derive the reference numerical parameters were calculated based on the input data prepared for the established calculation processes. The reference numerical parameters were then derived through regression analyses of the calculated parameters and the time constant. The parameters obtained from an apartment building and the parameters of the international standard were both applied to the Passive House Planning Package (PHPP) and EnergyPlus programs, and the results were analyzed in order to evaluate the validity of the results. The analysis revealed that the calculation results based on the parameters derived from this study yielded lower error rates than those based on the default parameters in ISO 13790. However, the differences were shown to be negligible in the case of high heat capacity.
Highlights
In response to extreme weather conditions generated by greenhouse gases, many global efforts are currently underway to reduce the energy consumption in buildings
The reference numerical parameters and the coefficient of the S/V ratio were obtained by reflecting the S/V ratio and the characteristics of the structures on apartment buildings
The regression equation was established by deriving the coefficient of the S/V on the envelope area, which is a design factor of buildings related to the energy performance of buildings, besides the reference numerical parameters, and distinguishing between the cases of applying the coefficient of the S/V ratio and not applying it
Summary
In response to extreme weather conditions generated by greenhouse gases, many global efforts are currently underway to reduce the energy consumption in buildings. Because of the long life cycle of buildings compared to other sectors and due to the difficulty in modifying the design once construction begins, it is necessary to carry out a quantitative analysis at the design stage by considering the items affecting the building’s energy performance. The energy performance of a building is analyzed via simulations using static or dynamic methods. Energy is analyzed under the assumption that temperature is in a steady state regardless of time flow. On the contrary, timedependent temperature changes are reflected in the analysis, i.e., the energy of a building is analyzed in an unsteady state. While the dynamic analysis can produce more precise performance analysis than a static analysis, its drawback is that only a small number of experts can perform such an analysis, because of the difficulty associated with program application
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