Using of a weighted directed acyclic graph for major repairs of real estate objects: the optimal combination of energy-efficient measures introduction

Abstract

Energy consumption analysis by regions of the world for the period from 2005 to 2019 showed that the growth of energy consumption is only increasing every year and requires certain energy-efficient measures. The largest energy consumption is in the construction sector, namely in residential buildings, which is associated with the large cities urbanization. Energy consumption depends not only on the energy efficiency of the temperature and lighting control systems, but also on the efficiency of the buildings in which they operate. Based on this, the housing stock of the city of Voronezh, which was conditionally divided into “old apartment buildings” and “new apartment buildings” (depending on the building period) was considered. Multi-apartment buildings were considered, taking into account various characteristics in order to identify the actual characteristics that affect energy consumption. Based on the data obtained, a statistical analysis of energy consumption in old apartment buildings and new ones, respectively, was carried out. On the basis of the research an algorithm was proposed for the energy-efficient measures introduction when planning major repairs in apartment buildings (AB) using a weighted directed acyclic graph.