TY - JOUR
T1 - An integrated energy-efficient operation methodology for metro systems based on a real case of Shanghai Metro Line One
AU - Gong, Cheng
AU - Zhang, Shiwen
AU - Zhang, Feng
AU - Jiang, Jianguo
AU - Wang, Xinheng
N1 - Publisher Copyright:
© 2014 by the authors.
PY - 2014
Y1 - 2014
N2 - Metro systems are one of the most important transportation systems in people's lives. Due to the huge amount of energy it consumes every day, highly-efficient operation of a metro system will lead to significant energy savings. In this paper, a new integrated Energy-efficient Operation Methodology (EOM) for metro systems is proposed and validated. Compared with other energy saving methods, EOM does not incur additional cost. In addition, it provides solutions to the frequent disturbance problems in the metro systems. EOM can be divided into two parts: Timetable Optimization (TO) and Compensational Driving Strategy Algorithm (CDSA). First, to get a basic energy-saving effect, a genetic algorithm is used to modify the dwell time of each stop to obtain the most optimal energy-efficient timetable. Then, in order to save additional energy when disturbances happen, a novel CDSA algorithm is formulated and proposed based on the foregoing method. To validate the correctness and effectiveness of the energy-savings possible with EOM, a real case of Shanghai Metro Line One (SMLO) is studied, where EOM was applied. The result shows that a significant amount of energy can be saved by using EOM.
AB - Metro systems are one of the most important transportation systems in people's lives. Due to the huge amount of energy it consumes every day, highly-efficient operation of a metro system will lead to significant energy savings. In this paper, a new integrated Energy-efficient Operation Methodology (EOM) for metro systems is proposed and validated. Compared with other energy saving methods, EOM does not incur additional cost. In addition, it provides solutions to the frequent disturbance problems in the metro systems. EOM can be divided into two parts: Timetable Optimization (TO) and Compensational Driving Strategy Algorithm (CDSA). First, to get a basic energy-saving effect, a genetic algorithm is used to modify the dwell time of each stop to obtain the most optimal energy-efficient timetable. Then, in order to save additional energy when disturbances happen, a novel CDSA algorithm is formulated and proposed based on the foregoing method. To validate the correctness and effectiveness of the energy-savings possible with EOM, a real case of Shanghai Metro Line One (SMLO) is studied, where EOM was applied. The result shows that a significant amount of energy can be saved by using EOM.
KW - Compensational driving strategy algorithm
KW - Energy-efficient operation methodology
KW - Energy-saving
KW - Metro system
KW - Timetable optimization
UR - http://www.scopus.com/inward/record.url?scp=84912002819&partnerID=8YFLogxK
U2 - 10.3390/en7117305
DO - 10.3390/en7117305
M3 - Article
AN - SCOPUS:84912002819
SN - 1996-1073
VL - 7
SP - 7305
EP - 7329
JO - Energies
JF - Energies
IS - 11
ER -