Boiko O. Models and information technology of the planning the buildings energy supply with using renewable energy sources

The dissertation research is aimed to improve the solutions effectiveness during planning the energy supply of buildings with renewable energy by developing models and implementation on their basis of information technology of decision support. In the work raised and solved an actual scientific and applied task of the solving the multicriterial task of planning the optimal structure of the hybrid energy system with renewable energy sources. For the first time was obtained the model for determining the optimal configuration of a hybrid energy system in a multicriterial environment. This model is based on the use of utility theory methods, which, unlike the existing ones, combines three evaluation scenarios of a multi-directional nature, which allows to increase the efficiency of solutions when planning energy supply of buildings. It was improved the model of structure synthesis of hybrid renewable energy system, that is based on the using the morphological analysis method which, unlike existing, account for all possible combinations of renewable energy systems, which allows to form a plurality of the alternative structures of system. It was improved the model of the formation of a set of qualitative and quantitative criteria, as well as their limitations, which are necessary for the multicriteria estimation of the set of alternative solutions. To do it, it was determined the technical and economic parameters of the energy system under the worst external factors of influence, which reduces the output of useful energy. The resulting model, in contrast to the existing, allows to consider the operational logic of the real system at the planning stage. Received the further development of information technology for the development and implementation of computer support solutions through the implementation of a set of models, the implementation of which allows to increase the efficiency of the decisions on choosing the optimal structure of the hybrid energy system with renewable energy.