Resumen
The way to implement energy efficiency policies is to develop and implement energy-saving technologies by increasing the share of renewable energy sources. The energy supply of buildings depends on the availability of batteries, solar panels, wind generators and their combination in the structure of the energy system that provide consumption in the household. During constructing the most efficient energy system, it is necessary to operate with a large number of disparate data of the potential of the energy resource in a particular locality, the variants of the component of the system, the possibility of combining with other regional grids, and taking into account external conditions (changing weather data, seasons, capacity of the external grid, ). In addition, the decision also depends on subjective factors that need to be identified and included into the planning process. Therefore, the process of planning the energy supply of buildings with renewable energy sources requires the creation of information support systems for decision-making that give recommendations on the selection of the components of the energy system. The subject of this study is the information technology for planning the energy supply of buildings with renewable energy sources. The aim of this work is to improve the effectiveness of solutions when planning the structure of the energy system by creating an information system to support decision-making. The tasks of the study are to build information technology, the processes modeling that occur during planning the structure of the energy system, design the architecture of the appropriate information system. To solve tasks, the methodology of system analysis was used to formalize the procedure for energy planning, and were used methods of structural analysis and functional modeling of information systems for constructing structural and functional models of the planning process. To implement the proposed information technology for decision support in the planning of energy supply of buildings, a decision support system has been developed, implemented as a software web application with a three-tier client-server architecture. The use of the decision support system makes it possible to increase the efficiency of decision making when planning the energy supply of buildings for the use of renewable energy sources.