Reconstruction of the gray belt objects based on energy efficiency clusters

被引：0

作者：

Talipova, Liliia ^{[1
]}

Shonina, Ekaterina ^{[1
]}

Strelets, Ksenia ^{[1
]}

Lapteva, Svetlana ^{[2
]}

机构：

[1] Peter Great St Petersburg Polytech Univ, Polytech Skaya 29, St Petersburg 195251, Russia

[2] Moscow State Univ Civil Engn, Yaroslayskoe Shosse 26, Moscow 129337, Russia

来源：

INTERNATIONAL SCIENCE CONFERENCE SPBWOSCE-2018: BUSINESS TECHNOLOGIES FOR SUSTAINABLE URBAN DEVELOPMENT | 2019年 / 110卷

关键词：

INDUSTRIAL BUILDINGS;

D O I：

10.1051/e3sconf/201911001021

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Objects redevelopment methods of the "gray belt" - industrial areas surrounding the historical district of St. Petersburg, Russia - have been considered. Information about 45 objects located in different administrative districts of the city was collected. Factors of physical wear (wear of floors, walls, roofs, types of building structural system) have been chosen as a criteria for clustering. As a result of the study, SOMs with different learning parameters were created as a result of the study. Energy efficiency calculations for two clusters were made with the selection of modern materials. Recommendations for the reconstruction according to the parameters of physical wear are given.

引用

页数：13

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