E3S Web Conf.
Volume 140, 2019International Scientific Conference on Energy, Environmental and Construction Engineering (EECE-2019)
|Number of page(s)||4|
|Section||Energy Efficient and Green Buildings|
|Published online||18 December 2019|
Predictive model of the dependence of the cost of insulation on thermal characteristics
Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation
2 Riga Technical University, Riga, Latvia
* Corresponding author: firstname.lastname@example.org
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.
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