| Issue |
E3S Web Conf.
Volume 363, 2022
XV International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2022”
|
|
|---|---|---|
| Article Number | 04008 | |
| Number of page(s) | 10 | |
| Section | Environmental Education and Digital Solutions. Environmentally Responsible Behavior | |
| DOI | https://doi.org/10.1051/e3sconf/202236304008 | |
| Published online | 14 December 2022 | |
Classification of the housing stock for the implementation of standard programs of energy-efficient capital repairs (case study of Arkhangelsk)
Northern (Arctic) Federal University named after M. V. Lomonosov, 163002, Severnaya Dvina Emb. 17, Arkhangelsk, Russia
* Corresponding author: oly-popova@yandex.ru
The purpose of the study is to analyze the energy efficiency class of the housing stock for the implementation of comprehensive energy-efficient capital repairs on houses of different construction series. Research objectives: - assessment of the feasibility of using the software product "ECR Assistant" to assess the energy efficiency class of the housing stock; - analysis of resource consumption and assessment of energy efficiency class depending on climatic factors; - assessment of the energy efficiency class of multi-apartment houses of the same series. According to the results of the study, it was revealed that the estimated energy efficiency class of a building varies depending on the average annual outdoor air temperatures. The main characteristics of buildings belonging to the same building series are not enough to classify objects in order to form programs for energy-efficient capital repairs. For qualitative organizational and technological design of restoration measures in the form of a capital repair, it is necessary to develop a fundamentally sound approach to the classification of the housing stock using modern methods for processing large amounts of data collected on the basis of continuous monitoring.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.