Synergetic Modeling the Republic of Bashkortostan Energy System Parameters
Bibliographic Data
| ID | 16900984 |
|---|---|
| Authors | Damir GAYNANOV, D A Gaynanov (Ufa Institute of Chemistry), Olga KANTOR (0000-0002-3186-3285), O G Kantor (Ufa Institute of Chemistry), Ekaterina KASHIRINA (0000-0002-9583-9612, Ufa Institute of Chemistry) |
| Year | 2017 |
| Volume | 8 |
| Issue | 1 |
| Pages | 84 |
| Publication date | 2017-05-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Environmental Management and Tourism (JOURNAL) |
| Journal identifiers | ISSN: 2068-7729 • E-ISSN: 2068-7729 |
| Publisher | SC ASERS SRL (PUBLISHER) |
| DOI | 10.14505//jemt.v8.1(17).08 |
| OpenAlex | W2728196457 |
| Language | EN |
The paper presents the results of a synergistic approach to the construction of a model that adequately reflects the ratio of renewable and conventional energy sources in the region’s energy system. The approach uses the methods of the theory of nonlinear dynamic systems. The Lotka – Volterra model was the main used instrument. The calculations allowed investigating the behavior of the Republic of Bashkortostan electric power system with the variation of the initial conditions and to assess the validity of the targets for the share of electricity produced through the use of renewable energy in the total electric power
Economics · Electric energy · Electric power · Electric power system · Electrical engineering · Electricity · Energy (signal processing) · Energy system · Environmental economics · Nonlinear system · Physics · Power (physics) · Renewable energy · Statistics · Thermodynamics · Advanced Power Generation Technologies · Coal and Coke Industries Research · Computer Science · Engineering · Environmental Science · Industrial Engineering and Technologies · Mathematics
| Highly cited | No |
|---|