The paper is devoted to the assessment of the prospects of implementing clean energy sources in Russia, where the current energy policy goal is to increase the role of renewable and clean energy sources. The research is based on data from the Krasnoyarsk Region as one of the largest territories but also as a representative model of Russia. The aim of the study is to identify where and which renewable energy source (solar, wind, hydro and nuclear) has the highest potential. The novelty of our research lies in its holistic nature: authors consider both geographical and technical potential for renewable energy sources development as well as prospective demand for such resources, while previous research is mostly focused on specific aspects of renewable energy development. We also consider the level of air pollution as an important factor for the development of renewable energy sources. The results of the study show that there is a strong potential for clean energy sources in the Krasnoyarsk Region. The resulting matrix identifies the potential of energy sources across all the municipal entities and also indicates whether the source of energy is primary or supplemental and where several sources may be implemented in cooperation.

A sequence "bud–shoot–bud …" was considered to model dynamics of height growth of a pine-like tree stem. Combination of "bud–shoot" and "shoot–bud" functions allows one to calculate a series of successive terminal shoot lengths, the sum of which corresponds to tree height at a given moment. A linear approximation of the model provides a flexible algorithm to simulate a wide range of S-shaped curves. To illustrate the model developed, an experimental study on Pinussylvestris L. bud growth was carried out. Buds were subjected to "free" growth (by removing neighboring buds) and to hunger growth (by defoliation of internodes). It was shown that length of P. sylvestris shoots was linearly and strongly related to length of the parent buds under both growth conditions.