BACKGROUND AND OBJECTIVES. The general problem of the research is to define the essence of university energy efficiency as a special type of management of higher educational institution activity, increase of its energy autonomy level, scientific research on economical use of energy resources. University energy efficiency management is a special type of management, which is based on finding new opportunities to save energy resources based on innovations, ability to attract resources from a variety of sources.METHODS. Logic, system and statistical analysis, and multiple regression methods were used to conduct energy monitoring of HUB use of energy efficiency knowledge. The method of cluster analysis was used for energy audit and energy certification of university buildings. The average value, value of mode and median, indicators of variation (variation range, average linear deviation and variation coefficient) of daily electricity consumption of building No.4 of Kyiv National University of Technologies and Design were calculated, statistical analysis of obtained data was made.FINDINGS. Existing automatic energy accounting systems in university buildings were reviewed, a comparative table was compiled and the systems were ranked according to the sum of the scores obtained.The comparative analysis is carried out according to a set of criteria, including the unique features that distinguish these systems from each other. Based on the ranking results, the best model is selected and its advantages and disadvantages are identified. A simplified list of requirements and necessary functionality for the use of energy efficiency knowledge HUB for energy monitoring, energy audits and energy certification of university buildings has been developed.CONCLUSION. The obtained asymmetry coefficient made it possible to conclude that there is a right-hand asymmetry in the amount of energy used in the university. The selected main factors influencing energy consumption allowed to monitor the energy efficiency of the university in 2020. The use of multiple regression equation allowed to take into account the main factors of energy consumption, the extent of their influence, to compare the obtained results with the actual consumption, to build energy profiles and to carry out energy certification of all buildings of Kyiv National University of Technologies and Design.
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