Attention of humanity is being increasingly focused on prevention of anthropogenic emissions of greenhouse gases, including CO2 [1]. One of the main contributions to CO2 emissions is associated with the production of electric and thermal energy. Despite great efforts, aimed at developing renewable energy technologies, fossil fuels will dominate in this area of human activity for a very long time. Therefore, the capture of CO2, formed during the combustion of fossil fuels, is of particular importance. If air is used as a fuel oxidizer, the combustion products consist of more than 70% nitrogen. It is very difficult and expensive to separate carbon dioxide from this nitrogen. Promising solutions for carbon capture are associated with air separation and fuel combustion in pure oxygen. Recently, considerable attention has been paid to such cycles [2-4]. The gases temperature of a combustor chamber exit is regulated by the supply of CO2 and H2O to a combustion zone. In this case, a spent working fluid is almost entirely composed of a mixture of carbon dioxide and water vapor, which is easily divided into water and pure carbon dioxide. One of the options for such solutions involves a pressure increase for all components of the working fluid before injection them into a combustion chamber in a liquid phase by pumping equipment [5]. Thermodynamic cycles, in which a pressure of the working fluid is increased in the liquid phase by pumping equipment (without a compressor), can be called compressorless.
The research of methods to reduce CO2 emissions into the atmosphere has led to formation of new thermodynamic cycles in which oxygen is separated from the air before combustion. Fuel, pure oxygen and some recirculating substances, from which it is easy to separate CO2 formed during the combustion, are fed into the combustion chamber. Usually, CO2, H2O or a mixture of thereof are used in the form of recirculated flue gas. The parameters in such cycles are chosen at different points in the cycle, where the working fluid can be in liquid, gaseous or supercritical states. The computational study of such cycles requires a convenient presentation of the thermophysical properties of different substances that can be part of the working fluid in a wide range of parameters. The aim of this work is to develop a data array and a computational module (spreadsheet) considering the dependence of the basic thermophysical properties of various substances. A conversion method of variables that allowed the formation of a compact interpolation grid with minimal loss of accuracy during subsequent interpolation was proposed, where the use of integers for the nodal values of the independent variables saved computational resources during interpolation significantly.
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