MATEC Web Conf.
Volume 106, 2017International Science Conference SPbWOSCE-2016 “SMART City”
|Number of page(s)||9|
|Section||6 Energy Efficiency, Renewable Energy and Sustainable Development|
|Published online||23 May 2017|
Methods of modeling TCO residential real estate in the life cycles of buildings as a promising energy efficiency management tool
1 Moscow State University of Civil Engineering, Yaroslavskoe shosse, 26, Moscow, 129337, Russia
2 Penza State University of Architecture and Civil Engineering, Titova str., 28, Penza, 440027, Russia
* Corresponding author: firstname.lastname@example.org
Building and developing an affordable housing market is a huge challenge for Russia’s national economy. Today, the housing construction industry finds itself in a situation torn by a conflict caused by the simultaneous needs to minimize the housing construction costs in order to make housing more affordable for Russians and to increase the energy efficiency of the housing projects, which is associated with additional costs for developers. To find solutions to this contradictory situation, one needs new theoretical and practical approaches and economic tools. The global economic trend of managing goods and services on the basis of the value of goods and services over the life cycle is also manifested in the construction industry in Russia. The problem of forming a new economic thinking in the housing sector predetermines the perception of the value of housing not only as the price of purchased real estate, but as the equivalent of the total cost of ownership of real estate throughout its life cycle. This approach allows to compensate the initial rise in the cost of construction resulting from the introduction of energy-efficient technologies by savings in the operational phase of the life cycle of the property. In this regard, management of the total cost of real estate ownership based on energy modeling is of high research and practical relevance.
© The Authors, published by EDP Sciences, 2017
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.