Diagnoses of building thermal characteristics by parameter identification and manual inspection

This study proposes a method of specifying where there is leeway for improvement of thermal performance of an office building by identifying the thermal performance parameters, which refers to such as the insulation and fraction of solar shading, based on operating data. This can contribute to the planning of energy reduction retrofit. The proposed method combines two methods: identifying parameters using a thermal load calculation program and conducting an inspection following a prepared diagnosis flow. Various parameters within the input data in the thermal load calculation program are classified into a small number of group, and the representative parameters of each group are identified based on measured thermal load and room temperature. The identified and standard parameters are compared and, judging from the differences between them, it is determined whether or not each of the specified parameters is in an abnormal state. Afterwards, a diagnosis flow is proposed to specify which individual unknown parameters cause the abnormality.