Purpose of research: development of a methodology for selecting energy-efficient thermal insulation materials using the Dynamo visual programming environment in order to increase the energy efficiency of building envelopes and structures.Methods. The study was carried out using theoretical and practical methods. The theoretical study was carried out based on an analysis of scientific publications, as well as regulatory requirements in the field of energy efficiency. The practical study was carried out using the implementation of the methodology for selecting thermal insulation materials in the Revit software package using the Dynamo visual programming environment.Results. The capabilities of the visual programming environment Dynamo have been studied, allowing to automate the modeling and development of design documentation in the Revit software package, automate the process of reinforcing structures, designing utility networks and systems, creating automated quality control systems for BIM models, etc. Particular attention in the work is paid to the capabilities of Dynamo for automation performing thermal engineering calculations and selecting energy-efficient thermal insulation materials. A library of thermal insulation materials has been created, which can be supplemented and copied from one project to another using standard Revit functionality. Two Dynamo scripts have been created. The result of the work of the first is the complete automation of thermal engineering calculations in Revit, the result of the work of the second is the selection of thermal insulation material taking into account the requirements for thermal protection of buildings. A methodology has been developed for selecting energy-efficient thermal insulation materials using the Dynamo visual programming environment. The reliability of calculations obtained on the basis of developed scripts is confirmed by the results of manual calculations.Conclusion. The use of modern BIM technologies when choosing energy-efficient thermal insulation materials allows you to optimize the calculation process, and also makes it possible to find the most cost-effective solutions to reduce costs and increases design speed.