A synergistic energy-efficient planning approach for urban rail transit operations

Ning, Jingjie; Zhou, Yonghua; Long, Fengchu; Xin, Tao

doi:10.1016/j.energy.2018.03.111

Cited by 40 publications

(19 citation statements)

References 42 publications

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“…To simplify the cooperative control model, the overlap time between the accelerating and braking phases is investigated for measuring the utilisation of RBE [20]. Then, the synchronisation of accelerating and braking phases is realised by maximising the overlap time in [21,22]. Yang et al [21] researched the energy-efficient timetable problem to coordinate the operation of trains.…”

Section: Introductionmentioning

confidence: 99%

Two‐step method to reduce metro transit energy consumption by optimising speed profile and timetable

Jin

Sun

Wang

et al. 2020

IET Intelligent Transport Systems

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Section: Introductionmentioning

confidence: 99%

Two‐step method to reduce metro transit energy consumption by optimising speed profile and timetable

Jin

Sun

Wang

et al. 2020

IET Intelligent Transport Systems

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“…e train operation strategy includes train timetable and train control mode. Chevrier et al [1], Shoichiro and Koseki [2], Yang et al [3,4], Wang and Goverde [5], Ning et al [6], Zhang et al [7] and Yang et al [8] optimized the train timetable by adjusting the train running path, the arrival and departure time or the passing time of the train, and realized energy-saving operation. Albrecht et al [9][10][11], Scheepmaker and Goverde [12], Yan et al [13], Ye and Liu [14], Luan et al [15], Yang et al [16], Fernández-Rodríguez et al [17] under the constraints of train characteristics, ramps, curves and speed limits, achieved optimal operating conditions and reduced energy consumption by adjusting the acceleration, cruising, coasting and braking phase.…”

Section: Introductionmentioning

confidence: 99%

“…erefore, the energy-saving schemes that combine these two angles are gradually becoming research focus Ye and Liu [14] established the multiphase optimal control problem to make the train's optimal strategy change with line conditions, and got the optimal train arrival and departure time under the condition of ensuring the safety interval. Ning et al [6] optimized the distribution of running time on the section and appropriately adopted a coasting state to reduce the energy consumption of the train during the speci ed total running time. Scheepmaker and Goverde [12] determined the energy-saving driving strategy by nding the optimal cruising speed and the optimal coasting point.…”

Section: Introductionmentioning

confidence: 99%

Optimal High-Speed Railway Timetable by Stop Schedule Adjustment for Energy-Saving

Chen

et al. 2019

Journal of Advanced Transportation

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Timetable optimization techniques offer opportunity for saving energy and hence reducing operational costs for high-speed rail services. The existing energy-saving timetable optimization is mainly concentrated on the train running state adjustment and the running time redistribution between two stations. Not only the adjustment space of timetables is limited, but also it is hard for the train to reach the optimized running state in reality, and it is difficult to get feasible timetable with running time redistribution between two stations for energy-saving. This paper presents a high-speed railway energy-saving timetable based on stop schedule optimization. Under the constraints of safety interval and stop rate, with the objective of minimizing the increasing energy consumption of train stops and the shortest travel time of trains, the high-speed railway energy-saving timetable optimization model is established. The fuzzy mathematics programming method is used to design an efficient algorithm. The proposed model and algorithm are demonstrated in the actual operation data of Beijing-Shanghai high-speed railway. The results show that the total operating energy consumption of the train is reduced by 3.7%, and the total travel time of the train is reduced by 11 minutes.

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“…For example, when the train entered the station, the average wind speed at a height range of the human body was approximately 0.5 m/s. 9 Most of the airflow moved upward due to the train arriving, excluded above the screen door. As such, the piston wind can overflow into the hall level from the platform through the passageway between the platform and hall level.…”

Section: Introductionmentioning

confidence: 99%

Investigation and low energy improvement of the thermal environment of work areas in the Qingdao Metro in winter

Liu

Wang²,

Peng³

et al. 2019

Building Services Engineering Research and Technology

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Few studies have investigated the thermal environment of the work area hall in underground metro stations during winter. Two underground stations were chosen within Qingdao Metro Lines 2 and 3 to investigate the thermal environment in the work area hall in northern city metros in China. Air temperatures and wind velocity parameters were identified as key influencing factors and were continuously measured in the work area. The study found that the thermal environment fluctuates frequently in the work area throughout the day. Changes in temperatures and wind speeds were periodically caused by piston wind flowing from the platform level. To improve this heating situation in the work area in winter, the study proposes recycling waste heat from the power equipment rooms, using the air source but through the water cycle heat pump system. Insights from the study may help save energy and improve the thermal environment, and could be applied across metro stations in north China cities in winter. Practical application: The thermal comfort of the working area in the metro station hall is extremely poor as indicated by a study of Qingdao Metro stations. This paper explores the application of a heat pump as a means of heating the working area to improve the cold and damp winter environment for the metro staff using waste heat from the machine rooms.

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A synergistic energy-efficient planning approach for urban rail transit operations

Cited by 40 publications

References 42 publications

Two‐step method to reduce metro transit energy consumption by optimising speed profile and timetable

Two‐step method to reduce metro transit energy consumption by optimising speed profile and timetable

Optimal High-Speed Railway Timetable by Stop Schedule Adjustment for Energy-Saving

Investigation and low energy improvement of the thermal environment of work areas in the Qingdao Metro in winter

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