Substantiating the criteria of choosing project solutions for climate control systems based on renewable energy sources

• Main Authors: Lilija Nakashydze, Tetiana Hilorme, Iryna Nakashydze
• Format: Article
• Language: English
• Published: PC Technology Center 2020-06-01
• Series: Eastern-European Journal of Enterprise Technologies
• Subjects: climate control systems; renewable energy sources; project solutions; energy efficiency; ranking
• Online Access: http://journals.uran.ua/eejet/article/view/201527

The choice of project solutions for systems of providing climatic conditions in premises, based on different types of renewable energy sources, was substantiated. The means proposed to solve project tasks, imply the use of the interaction between different stakeholders, the number of subsystems necessary for effective functioning in the open system, that is taking into account the synergetic effect. It was proved that the introduction of complex climate control and energy supply system will allow uniting the functions inherent to disparate engineering systems, and ensure the transformation and redistribution of various types of energy flows, which will minimize operating costs. The hierarchical structure of the problem of approval of alternative project solutions of the climatic systems based on the Analytic Hierarchy Process method was constructed, which allows obtaining a set of optimal variants. The application of the corresponding tool apparatus of Data Envelopment Analysis enables constructing a system of evaluation of the energy efficiency of projects of complex climatic control and power supply systems using different types of renewable energy sources. The functional intended to select the optimum variant of a project solution of the climate control and energy supply system was constructed. The proposed project solutions were examined from the position of determining the minimization of the total consumption of energy resources and operating costs of three alpha-stakeholders. The proposed indicator of relative integrated energy efficiency allows making an optimum choice of complex systems with disparate input and output characteristics