In the magaizne International Journal of Hydrogen Energy (IF 3.582) there was published the article ANN–supported control strategy for a solid oxide fuel cell working on demand for a public utility building focusing on the strategy of artificial neural network to forecast demand for electricity of a large public utility buildings. It's co-author is Jakub Kupecki (PhD) from IEn's Department of High-Temperature Electrochemistry Processes (CPE).
In the magaizne International Journal of Hydrogen Energy (IF 3.582) there was published the article ANN–supported control strategy for a solid oxide fuel cell working on demand for a public utility building focusing on the strategy of artificial neural network to forecast demand for electricity of a large public utility buildings. It's co-author is Jakub Kupecki (PhD) from IEn's Department of High-Temperature Electrochemistry Processes (CPE).
The idea of control strategy of SOFC operating to meet demand of a public utility building was presented. The strategy was formulated with the support of Artificial Neural Network. The network was used to predict the demand for electricity. The calculations were carried out on the example of a building of the Institute of Heat Engineering Warsaw University of Technology. The control strategy is influenced by various factors depending on changes in market conditions and operating characteristics of the cell. We can define different objective functions eg: working for own needs, for maximum profit and maximum service life. The article presents a simulation of SOFC operation for demand profile of the IHE building from the selected time period.
Research works have been conducted in cooperation with the Warsaw Technical University's Institute of Heat Engineering and Faculty of Power and Aeronautical Engineering.
Szablowski L., Milewski J., Badyda K., Kupecki J., ANN–supported control strategy for a solid oxide fuel cell working on demand for a public utility building, International Journal of Hydrogen Energy, 2017, https://doi.org/10.1016/j.ijhydene.2017.10.171, in press