Application of the Clustering Method to the Determination of Typical Days of Thermal Loads of Buildings in Uzbekistan

Optimal design, sizing, and operation of building energy systems is challenging due to the variety of generation and storage devices available and the high-resolution input data needed to account for seasonal and diurnal fluctuations in thermal loads of buildings. A common measure to reduce the size and complexity of a problem is to group requirements into representative periods. In this study, in order to simplify the problem of optimizing building envelopes and integrating various energy generators operating on renewable energy sources on an annual scale, a clustering method of k -means of hourly thermal load of a building is proposed. In this study, for the first time, the typical days of thermal loads for heating and cooling a building are determined with the optimal planning of one or another reconstruction measure. For further research, there is a new opportunity to identify typical days of thermal demand in order to determine the thermal performance of buildings and introduce new measures for energy planning reconstruction in them in 13 regions of Uzbekistan with different levels of thermal insulation and integration of various energy generators operating on renewable energy sources.