Tollosa, Deberie (Mr.)Mekdes, Mekonnen2022-03-162023-11-042022-03-162023-11-042016-06http://etd.aau.edu.et/handle/123456789/30618especially for the traction in its daily operation. To implement energy saving programs and to study economical operation strategies, an energy estimated model is required. The models can be further extended to develop models and simulation for estimating power demand of train operation and minimizing energy consumption through different driving strategies. In order to make analysis for train energy consumption and regenerative energy, this thesis work focuses only Ayat to Torhiloch (East Wast) line of Addis Ababa Light Rail transit (AALRT). The main targets of this research work is to analyze the effects of train overloading in energy consumption of AALRT by comparing with different load conditions such as normal and maximum load. During peak hour the number of passengers are high, overloading affects energy consumption because it takes more energy to accelerate the train. Mathematical modeling and simulation based analysis are presented to analyze the effects of overloading on train energy consumption. The models are formulated using train dynamics, train tractive effort and driving resistance which includes aerodynamic, gradient and rolling resistance. The methodology to evaluate energy consumption is based on power and time. In this research work Matlab/Simulink software is developed to analyze train energy consumption and regenerative energy. The method that used to create the simulation of energy analysis at different track position such as level, uphill and downhill position. Finally, the Simulink result shows that, there is 11.05 % additional energy consumption is used during overloading when it is compared to normal train loading, 6.22 % used when it is compared to maximum train loading condition. The result shows that during overloading the train needs high amount of energy consumption to accelerate.en-USTrain energy consumptionRegenerative energyMathlab/Simulink simulationThesis