| Issue |
E3S Web Conf.
Volume 140, 2019
International Scientific Conference on Energy, Environmental and Construction Engineering (EECE-2019)
|
|
|---|---|---|
| Article Number | 04018 | |
| Number of page(s) | 4 | |
| Section | Energy Efficient and Green Buildings | |
| DOI | https://doi.org/10.1051/e3sconf/201914004018 | |
| Published online | 18 December 2019 | |
Predictive model of the dependence of the cost of insulation on thermal characteristics
1
Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation
2
Riga Technical University, Riga, Latvia
* Corresponding author: gamayunova@inbox.ru
In the market of building materials today there is a large selection of various thermal insulation materials, differing in cost, thermal conductivity and other characteristics. This article describes the predictive model of the cost of insulation from thermal characteristics, such as: thickness, thermal conductivity, (average) density, water absorption and combustibility group. The coefficient of determination was used to assess the quality of the obtained economic-mathematical model. The described predictive model can be effectively used to solve problems associated with determining the optimal characteristics of insulation by the criterion of minimizing cost.
© The Authors, published by EDP Sciences, 2019
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.