Entity

Time filter

Source Type


Milewski J.,Wydziale Mechanicznym Energetyki | Badyda K.,Politechnice Warszawskiej | Wolowicz M.,Wydziale Mechanicznym Energetyki
Rynek Energii | Year: 2010

The paper presents a 30 kW micro Combined Heat and Power (μ-CHP) system which is able to provide heat and power for a more efficient energy use in a hotel. The main objective of μ-CHP unit is to introduce the novel concept of a Polymeric Electrolyte Membrane Fuel Cell based CHP (μ-CHP-PEMFC) system able to satisfy both the thermal (heating and sanitary water), cooling and electrical power need of the whole building replacing the small methane boiler installed in the single flats as well as old-fashioned centralised oil thermal plant. To address current limitations in hydrogen supply the system is equipped with a compact steam reforming unit able to produce a hydrogen rich mixture suitable for feeding PEMFC starting from methane, methanol or bio-gas without any modification thanks to several innovative concepts based to very reliable and efficient catalysts as well as related design and manufacturing process. Adequate control unit quantify the amount of energy flowing in (electrical/thermal energy consumption) and flowing out (excess of electrical power sold out) from the μ-CHP-PEMFC. The 30kWeli proposed size is the results of a market study which based on the assumption that the average power need for an apartment is about 1kW and therefore the proposed size is suitable to provide electrical power to the hotel with at least 20-25 apartments; moreover the required emergency power of the hotel can be covered by the proposed unit during any black down of the external electric network. As far as the heating need is concerned, the CHP system provides about 50kW th of additional heat and a small condensation boiler fills up the exceeding thermal need when required. The functioning principle of the CHP system with fuel cells is described. Source


Milewski J.,Wydziale Mechanicznym Energetyki | Miller A.,Wydziale Mechanicznym Energetyki
Rynek Energii | Year: 2012

This paper sets out the results of mathematical modeling and numerical simulations of the off-design (part-load) operation of the molten carbonate fuel cell hybrid system (MCFC-HS). The governing equations of modeling are given and an adequate simulator of the MCFC stack was made and described. The performance of the MCFC-HS with part- and overload operation is shown, and adequate maps are given and described. The ranges of possible system operation conditions are determined. Source


Milewski J.,Wydziale Mechanicznym Energetyki | Swirski K.,Wydziale Mechanicznym Energetyki
Rynek Energii | Year: 2011

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 architecture is shown and commented. The error backpropagation algorithm was used for an ANN training procedure. The ANN based SOFC model has the following input parameters: current density, temperature, fuel volume flow density (ml/min/cm2), and oxidant volume flow density. Based on these input parameters, cell voltage is predicted by the model. Obtained results show that the ANN can be successfully used for modelling the singular solid oxide fuel cell. The self-learning process of the ANN provides an opportunity to adapt the model to new situations (e.g. certain types of impurities at inlet streams etc.). Based on the results from this study it can be concluded that, by using the ANN, an SOFC can be modelled with relatively high accuracy. In contrast to traditional models, the ANN is able to predict cell voltage without knowledge of numerous physical, chemical, and electrochemical factors. Source

Discover hidden collaborations