The article deals with obtaining RDF fuel based on solid municipal waste. The expediency of using this type of fuel in the cement industry is justified, since its combustion in cement furnaces has less impact on the environment due to the high temperature level of the process. The composition of RDF fuel by elements is analyzed. Due to the fact that this fuel from different sources has a difference in the heat of combustion of two times or more, the heat of combustion of RDF fuel for the middle zone of Russia was experimentally determined and its compliance with GOST R 55127-2012.

Keywords: solid municipal waste, MSW, Recycle Derived Fuel, RDF fuel, lower combustion heat, ash content, alternative energy source, colorimetric bomb

The authors propose to consider an interesting solution for finding real estate using GIS - technologies. This method can significantly reduce the time it takes to select a property. This article shows how the data processing capabilities of scientific computing tools for Python and the visualization and analysis capabilities of ArcGIS geospatial data can be used to build a model that generates a short list of houses that meet the needs and desires of potential buyers. And although the choice of a house is purely individual, there are a lot of common factors. Such as the total area, the number of floors and rooms, the presence of a garage and much more. Also, when buying a house, you are looking for proximity to services such as food, pharmacies, emergency rooms, child care facilities, parks, etc. You can use the ArcGIS API geocoding module for Python to search for such objects at a given distance around the house. This method suggests combining all the necessary conditions into one system, which will significantly reduce the list of real estate objects on the market and choose the most optimal options.

Keywords: GIS, ArcGIS, real estate, Python, maps, histograms, filter, DataFrame, spatial distribution, geocoding