Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Konrad Świrski"'
Autor:
Konrad Świrski, Piotr Błach
Publikováno v:
Energies, Vol 17, Iss 19, p 4855 (2024)
Along with the growing renewable energy sources sector, energy storage will be necessary to stabilize the operation of weather-dependent sources and form the basis of a modern energy system. This article presents the possibilities of using energy sto
Externí odkaz:
https://doaj.org/article/549aaa11515540b18abd5ceb8706765c
Autor:
Aliaksandr Martsinchyk, Jaroslaw Milewski, Olaf Dybiński, Arkadiusz Szczęśniak, Maciej Siekierski, Konrad Świrski
Publikováno v:
Energy. :127921
Autor:
Konrad Wojdan, Daniel Nabagło, Konrad Świrski, Łukasz Śladewski, Tomasz Janda, Jerzy Chachuła
Publikováno v:
Applied Thermal Engineering. 123:711-720
This paper presents methodology and results of a research project on software optimization of combustion process efficiency in coal-fired power plant. The general goal of this project was to increase boiler efficiency by proper control of the combust
Publikováno v:
Annals of Nuclear Energy. 99:495-509
The paper presents an investigation of the potential for the recriticality phenomenon occurrence during core reflooding at the time of early in-vessel phase of the Fukushima-Daiichi Unit 3 (1F3) accident. A Monte Carlo criticality analysis was perfor
Autor:
Konrad Świrski, Konrad Wojdan, Rafał Brzozowski, Rafał Serafin, Artur Bielecki, Teresa Kurek, Michal Guzek, Jakub Bialek
Publikováno v:
Energy. 217:119347
This paper presents a complex analysis of heat demand forecasting methods for the Warsaw District Heating Network, which is owned by Veolia Energia Warszawa, the largest district heating network (DHN) in the European Union. The analyzed network suppl
Publikováno v:
Energy. 211:118612
PKL is a worldwide unique integral test facility for simulation of thermal-hydraulic phenomena, which can occur in Pressurized Water Reactor under abnormal or accident conditions. The test rig replicates the entire primary side and the relevant parts
Publikováno v:
Thermal Power Plants-New Trends and Recent Developments
Coal mill malfunctions are some of the most common causes of failing to keep the power plant crucial operating parameters or even unplanned power plant shutdowns. Therefore, an algorithm has been developed that enable on-line detection of abnormal co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ca23ade2f3dee1da28c5aab98f2ddf7
https://doi.org/10.5772/intechopen.72952
https://doi.org/10.5772/intechopen.72952
Publikováno v:
Nuclear Engineering and Design. 289:8-18
In this paper the results of severe accident simulations for the EPR reactor in the case of loss of offsite power combined with total failure of all diesel generators (total loss of AC power) are presented. Calculations were performed with MELCOR 2.1
Autor:
Jarosław Milewski, Konrad Świrski
Publikováno v:
Applied Mechanics and Materials. 343:69-75
An Artificial Neural Network (ANN) can predict an objects behavior with no algorithmic solution merely by utilizing available experimental data. The error backpropagation algorithm was used for an ANN training procedure. There are SOFC features mainl
Autor:
Konrad Świrski, Jarosław Milewski
Publikováno v:
International Journal of Hydrogen Energy. 34:5546-5553
The Artificial Neural Network (ANN) can be applied to simulate an object's behaviour without an algorithmic solution merely by utilizing available experimental data. The ANN is used for modelling singular cell behaviour. The optimal network architect