In this paper, M1A Yenikapi-Airport light metro line, one of the subway line of Metro İstanbul Co. is modeled with RAILSIM® simulation program by using real data of the whole line. Energy consumption of the train is obtained by simulations and compared with measured energy consumption for a week. | Journal of Automation and Control Engineering Vol. 5, No. 1, June 2017 Determination of Potential Regenerative Braking Energy in Railway Systems: A Case Study for Istanbul M1A Light Metro Line Ibrahim Sengor, Hasan Can Kilickiran, Huseyin Akdemir, and Beyhan Kilic Department of Electrical Engineering, Yildiz Technical University, Istanbul, Turkey 34220 Email: {isengor, hckiran, hakdemir}@, emission is caused by transportation by 2010 and it is estimated that will be doubled by 2050 [1]. ERSs are used both transportation and freightage because of their energy efficiency. Also, personal CO2 emission is prevented by using public transportation. Energy concerns of humanity promote to scientist to study about saving and efficient use of energy. There are lots of options to save energy in ERSs. Outstanding of these options are that decreasing auxiliary loads, the weight of vehicle; recovery of electrification infrastructure, depletion of energy losses, integration of renewable energy systems and regaining of regenerative braking by using timetable optimization, energy storage systems and feed back to the grid [2]. In recent years, regenerative braking energy (RBE) is the most preferred method to saving energy in ERSs. RBE is defined as the energy generated by traction motors that on the train, during braking. A considerable part of the energy used in ERSs can be regenerated by regenerative breaking (RB). Therefore, using RBE energy efficiency in ERSs can be improved. In the light of calculations and measurements, it is deduced that 35-40% of consumed can be regained [3, 4]. There are many studies about the evaluation of RBE in literature. To enhance the energy efficiency in a subway, a new algorithm is improved by using RBE. Timetable optimization and driving strategy are the methods use of RBE in [7] and daily energy consumption has been observed that less than 24%. In [8], to rise the using of RBE, energy storage system (ESS) is .
