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Wyszukujesz frazę "Polish power system" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
The efficiency of electric cars for mitigating CO2 emissions in Poland
Autorzy:
Walkowiak, Mikołaj
Powiązania:
https://bibliotekanauki.pl/articles/692545.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Ekonomiczny w Poznaniu
Tematy:
electric cars
CO2 emission
electric power production
transport development strategy
Polish electric power system
Opis:
This paper concerns the estimation of indirect CO2 emissions associated with the use of electric engines in Poland. The indirect production of exhaust fumes emitted by electric cars is determined by two factors: the engine’s power consumption and the volume of the emissions produced when generating power sold by distributors. The current structure of the Polish power system, which is the supplier of the prime mover for electric cars, uses mainly the conventional (high-emission) sources of energy. Thus, using electric cars becomes an indirect cause of the pollution in the atmosphere. Increasing the efficiency of the power production process along with limiting the emission level of the combustion process in conventional power plants is a fundamental and essential solution to reduce air pollution.
Źródło:
Research Papers in Economics and Finance; 2016, 1, 1; 55-61
2543-6430
Pojawia się w:
Research Papers in Economics and Finance
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Generation capacity of national power system in view of commodity crisis and war in Ukraine in 2022: diagnosis, risk assessment and recommendations
Autorzy:
Tajduś, Antoni
Tokarski, Stanisław
Powiązania:
https://bibliotekanauki.pl/articles/2203339.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
paliwa kopalne
energia elektryczna
transformacja energetyczna
efficiency of electricity generation
fossil fuels
sources of electricity generation
Polish Power System production capacity
risk assessment of the energy transitiony
Opis:
The article assesses the production capacity of the Polish Power System, taking into account the military operations in Ukraine and the related resource crisis. An analysis was made of how the war in Ukraine will affect the validity of Poland’s energy policy adopted a year ago. The sensitivity of the Polish Energy System to the import of energy resources from Russia was assessed as well as the possibilities of filling the gap caused by the lack of these raw materials were described and measures were proposed. It shows how electricity prices in the EU countries developed in the last year and what the energy mix of these countries looked like. Alternative scenarios for the transformation of the domestic system were discussed, including the coal – renewable energy – nuclear energy scenario, with the minimization of gas as a fuel of the transition period.
Źródło:
Archives of Mining Sciences; 2022, 67, 3; 545--559
0860-7001
Pojawia się w:
Archives of Mining Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neural modelling of electricity prices quoted on the Day-Ahead Market of TGE S.A. shaped by environmental and economic factors
Autorzy:
Ruciński, Dariusz
Powiązania:
https://bibliotekanauki.pl/articles/2052267.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
Polish Power Exchange
day ahead market
DAM
artificial neural network
system modelling
MATLAB
Opis:
The paper contains the results of research on the impact of the number of factors used to build the Day-Ahead Market model at Polish Power Exchange S.A. Five models with a different number of factors influencing the model were tested. To test the quality of models according to the adopted evaluation criteria, i.e., mean square error and the coefficient of determination for the weighted average prices sold in a given hour of the day, the influence of weather factors, socio-economic factors and energy demand were adopted. The results obtained from the analysis show a relatively high correctness of the simplest of the adopted models, which differs slightly from the best model.
Źródło:
Studia Informatica : systems and information technology; 2020, 1-2(24); 25-35
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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