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EN
Electrical vehicles have the ability to partially recover some kinetic energy during braking. Kinetic energy is transformed into electric energy, which is fed to the battery by the control system and stored there for further use. The aim of this paper was to analyse the levels of energy recovered by an electric vehicle during braking at various speeds and with different braking intensities. The first phase of testing consisted of vehicle braking tests in real-life conditions. The registered speed profiles were then used as input data for the simulation software. The authors have also analysed the effect of the state of charge of the battery and of the vehicle’s load on the amount of energy recovered during braking. The performed simulation tests demonstrated that the level of recovered energy is significantly affected by the initial braking speed and by the force of pressure applied to the brake pedal. The amount of recovered energy is less affected by the state of charge (SOC) of the battery and by the vehicle’s load. Energy regeneration during braking is currently an important research topic. The efficiency of an electric vehicle depends on the range, which can be extended thanks to the additional energy recovered during braking maneuvers. The presented preliminary simulation results are intended to assess the level of energy recovery in electric vehicles. The authors are aware that a full, comprehensive analysis requires additional research using electric vehicles that will verify the results presented in the paper.
EN
The article presents a new approach to forecasting producer gas composition. Thermochemical treatment of biomass was presented as an effective method of producing flammable gas. The methods of predicting the gas composition of the generator are described, and then its efficiency depends on the device’s parameters. In order to create a method for forecasting gas composition, the authors’ works were used as the basis on which the energy characteristics of the gases obtained were assessed. It was assumed in this paper that it is essential to understand the influence of each parameter on the energy characteristics of the gas. It made it possible to optimize the composition and predict thermal characteristics. This article presents the results of experimental studies on biomass gasification and a mathematical model based on Gibbs free energy.
EN
The paper consists the results from the conducted experiment and the mathematical model of it. The presented process is biomass gasification and the modelling is based on complex parameter that is maximum thermodynamic efficiency and use the Gibbs free energy function and Lagrange multiplier. Referring to European Union strategy in terms of energy use it is highly recommended to increase the share of renewable energy in total energy production. The biomass is one of the most important sources of energy. Listed above methods of mathematical calculations let as define the composition of the gas produced and the efficiency that was reached. Also the precision of the model was evaluated. The effect of the work done is the possibility to use it to state the best condition for the process of biomass gasification technology.
PL
Artykuł przedstawia wyniki przeprowadzonego eksperymentu i jego model matematyczny. Przedstawiony proces dotyczy zgazowania biomasy, a modelowanie opiera się na złożonym parametrze, jakim jest maksymalna wydajność termodynamiczna, z wykorzystaniem funkcji energii swobodnej Gibbsa i mnożnika Lagrange'a. Nawiązując do strategii Unii Europejskiej w zakresie zużycia energii, zdecydowanie zaleca się zwiększenie udziału energii odnawialnej w całkowitej produkcji energii. Biomasa jest jednym z najważniejszych źródeł energii. Wymienione powyżej metody obliczeń matematycznych pozwalają określić skład wytwarzanego gazu i osiągniętą wydajność. Oceniono także precyzję modelu. Efektem wykonanych prac jest możliwość określenia najlepszych warunków prowadzenia procesu technologii zgazowania biomasy.
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