Dokshyna S. Models and methods of monitoring energy efficiency of regions of Ukraine

The thesis "Models and methods of monitoring energy efficiency of regions of Ukraine" is devoted to the urgent scientific task of increasing the level of energy efficiency of Ukrainian regions by developing models and methods of monitoring to ensure the country's energy and environmental security. For the analysis, the heating sub-sector of the household sector was selected as the largest energy consumer among other sectors, and the transportation sector as one of the largest consumers and polluters of CO2. The thesis corresponds to the priority direction of the country's development: "Energy and Energy Efficiency" (Technologies for the development and use of new fuels, renewable and alternative energy sources and fuels; Energy Efficiency and Energy Saving, Energy Markets, Environmentally Balanced Energy Security) approved by the Resolution of the Cabinet of Ministers of Ukraine of September 7, 2011, No. 942 "On Approval of the List of Priority Thematic Areas of Scientific Research and Scientific and Technical Development for the Period up to 2023". It was carried out jointly with the University of Lorraine, France, under the ERASMUS+ KA107 academic mobility program from 04/03/2023 to 09/02/2023. The first section discusses the state of energy efficiency in Ukraine, examines the methods used in the Energy Strategies, and performs a SWOT analysis of the energy efficiency level of the regions of Ukraine. The purpose and objectives of the study are defined. Objective. To increase the level of energy efficiency in the regions of Ukraine by developing regional monitoring models. Relevance. The topic is aimed at improving the energy security of Ukraine and solving the problem of assessing the energy efficiency of the regions of Ukraine. The novelty of the topic is the development of a model for assessing the energy efficiency of the regions of Ukraine in the housing and transport sectors, which will make it possible to develop strategies for improving the energy efficiency of the regions of Ukraine. Object: the process of consumption of heat, electricity, gas and motor fuels by the regions of Ukraine. Subject: indicators of regional energy efficiency and their connections, factors influencing energy efficiency, models for assessing regional energy efficiency, technologies for improving energy efficiency, methods for assessing complex multifactorial systems. Objectives: 1. To study the requirements for energy efficiency indicators, global energy efficiency indicators and indicators in Ukraine; 2. Investigate methods for assessing complex multifactorial systems; 3. To develop an algorithm for interval assessment of energy efficiency indicators in the regions of Ukraine; 4. To develop an algorithm for calculating the heating consumption of the residential sector in the regions of Ukraine; 5. Develop an algorithm for calculating gas consumption in the transport sector of the regions of Ukraine; 6. To classify the residential sector of the regions of Ukraine using discriminant analysis and principal component analysis; 7. To classify the transport sector of the regions of Ukraine using discriminant analysis and principal component analysis; 8. Perform a comparative analysis of the results of classification of the housing and transport sectors of the regions of Ukraine; 9. To build a model of benchmarking of Ukrainian regions within cluster groups; 10. Analyze the possibilities of using alternative energy efficiency technologies in Ukraine and ways to optimize them; 11. To develop an algorithm and model for monitoring energy efficiency of Ukrainian regions. Section 2 analyzes current energy efficiency databases. It was found that modern energy efficiency databases and standards reflect a sectoral approach to energy efficiency assessment by country. In Section 3, interval graphs of energy efficiency indicators for the heating sub-sector of the household sector and the transport sector of the regions of Ukraine are constructed, which allowed us to assess the dynamic changes in these indicators in these regions and to perform a preliminary comparison of regions. Chapter 4 investigated the potential of alternative energy sources, namely the production of alternative motor fuel from plastic waste and waste tires in Ukraine and the optimization of an anaerobic digestion biogas plant using an artificial neural network.