INCREASE OF ENERGY EFFICIENCY OF UNDERGROUND STRUCTURES ON THE BASIS OF OPTIMIZATION OF HEAT INSULATION
Underground space is widely used on different objects. In view of climate change on the planet thermal insulation of buildings is becoming increasingly important. Projects of underground structures must meet the requirements of energy efficiency. In this case, the heat exchange between underground structures and the environment should be minimized. The thermal insulation using can solve this problem. The aim of the study is the determination of the optimal parameters of thermal insulation. It provides a minimum depth of freezing and thawing of the soil above the underground structures. In this article the technique of thermal insulation parameters optimization is presented. In order to assess the depth of freezing and thawing of the soil, an improved mathematical model of heat and mass transfer is used in the proposed method. The model provides a reliable determination of temperature and moisture in soil at various factors impacting the soil, including man-made factors. The main advantage of the model being used in comparison with traditional are the factors of increased number. The second advantage is the account of interdependent factors and processes in soil. The reliability of the results is provided by considering the transformation of objects over time and by the adjustment of the mathematical model in the calculations during the iterative process. The method of simulation modeling of processes in soil is used. On the basis of simulation procedures and use of dynamic models of heat and moisture transfer, the mathematical model of the process under investigation (objective function) is generated. Numerical experiments are carried out, using the theory of experiment planning. An example of the proposed method use is presented. The optimum parameters of the heat insulating layer and the optimum time of its installation are determined. The presented method allows to design the efficient thermal insulation coating in difficult conditions of underground space. It provides a solution of other similar multivariate tasks, taking into account the selected objective functions and constraints