E3S Web Conf.
Volume 110, 2019International Science Conference SPbWOSCE-2018 “Business Technologies for Sustainable Urban Development”
|Number of page(s)||9|
|Section||Energy Efficiency in the Construction|
|Published online||09 August 2019|
Factor space for the development of sustainable energy technologies in construction
Voronezh State Technical University, Moscow Avenue, 14, Voronezh, 394026, Russia
* Corresponding author: email@example.com
Sustainable development of construction and housing and utilities sector is impossible without ensuring energy efficiency and environmental friendliness of the production and operation of facilities. The authors consider it possible to ensure this through the implementation of a scientifically based innovation strategy of entities at all levels of the economy. The authors postulate the expediency of forming a strategy for the development of sustainable energy technologies based on foresight technology, taking into account the network nature of the interaction of participants and the need to coordinate micro and meso level strategies based on the creation of “innovation growth points”. To select the directions of strategic development of sustainable energy technologies and assess the effectiveness of their implementation, a list of analytical indicators of factors and results of the development is needed. Based on the adoption of the foresight methodology as a basis for building a strategy, and also based on the systems approach and the theory of self-organization of non-equilibrium systems, the need to develop a topology of indicators of the analytical unit as a basis for assessing the current state and heredity of the micro and meso level system has been proved. The authors proposed methodological provisions on the composition and structure of analytical indicators. On the basis of a statistical analysis of a number of indicators, the expediency of creating “innovation growth points” in the region in order to increase the efficiency of diffusion of innovative energy technologies in both intersectoral and interregional projections has been empirically proven.
© The Authors, published by EDP Sciences, 2019
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