Affiliation:
1. University of Zielona Góra
2. University of Technology and Life Sciences in Bydgoszcz
Abstract
In the world, in Europe, and also in Poland the use of energy is growing rapidly, causing concern about the
difficulty of supply, a depletion of non-renewable energy resources and the increase in negative impacts on the
environment (ozone depletion, global warming, climate change, etc. caused by increased emissions of CO2) (Balaras et
al. 2005). Political or economic attempts to enforce climate change, through the increase in the price of fossil fuels, lead
to exclusion and growth of energy poverty therefore they cause social effects (fossil fuels become so expensive that a
large part of the population cannot afford their combustion). The ideal solution would be a combination of activities
aimed at the energy modernization of cities with sustainable strategies of their rebuilding.
The purpose of the article is a search for the optimal way of spatial policies at the local level that enable implementation
of the objectives of the energy policy of the European Union. Factors affecting changes in the pollutant emissions
associated with the combustion of fossil fuels, depending on the energy efficiency of selected buildings were modelled
with a use of deduction based on radial neural networks.
The observations presented in this article may be relevant for other regions that are interested in reducing polutant
emission and energy consumption of buildings, housing estates and cities. Taking the geographical context into account,
it is especially important for those regions which benefit from financial support of the European Union.
Cited by
4 articles.
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