Hourly energy consumption characteristics of metro rail transit: Train traction versus station operation

Guan, Bowen; Liu, Xiaohua; Zhang, Tao; Wang, Xinke

doi:10.1016/j.enbenv.2022.05.001

Cited by 6 publications

(10 citation statements)

References 19 publications

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“…( 9 ). In an analysis of the North China Plain metro, train frequency was identified as the key factor influencing the system’s energy consumption ( 7 ). A case study on the Beijing Subway demonstrated energy savings of 17.16% via a proposed deep reinforcement learning approach ( 10 ).…”

Section: Related Workmentioning

confidence: 99%

“…Several research efforts have investigated models to reduce system-wide energy consumption in URTs. Generally, URT system energy consumption is affected by several variables, such as ridership, temperature, and train schedules, among others (4)(5)(6)(7). A comprehensive systems analysis of European URTs identified various dimensions of energy consumption and showed that energy savings of up to 35% could be realized in a URT by optimizing timetables, implementing efficient driving techniques, and installing energy-saving infrastructure (8).…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Line-Specific Energy Modeling Framework for Urban Rail Transit Systems: A Case Study of Boston

Han

Gonzales

Christofa

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Urban rail transit systems play an essential role in improving mobility and efficiency. A complex rail transit network serves the Boston metropolitan area, U.S., which costs $38 million for the 422 GWh of system electricity consumed annually. With the aim of developing a tool for energy and cost reduction decision support, we propose a comprehensive machine learning framework to investigate line-specific contributions to energy. This effort builds on prior work in estimating a system-wide energy model for the Boston network. By introducing line-specific train movement and operation variables, we obtain a higher-performing model [Formula: see text]. Furthermore, the model better explains the relationship between energy and train movement, ridership, and weather variables. Most importantly, the model facilitates analyses of how each line contributes to system consumption at the hour level. We found that the non-line-specific variables made a contribution of −2.7% to the average hourly energy of consumption of −5.4 MWh with a baseline energy consumption of 39 MWh. The Red Line dominates the energy consumption among line-specific variables, contributing 2.3% to the hourly average. Our model could be further enhanced to evaluate the energy and cost impacts of line-specific strategies that may be required for future planning and disaster response, as well as for real-time energy monitoring by line.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Line-Specific Energy Modeling Framework for Urban Rail Transit Systems: A Case Study of Boston

Han

Gonzales

Christofa

et al. 2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…As for metro systems, studies paid attention to the energy structure and characteristics of the system 10–12 . The energy use in metros is generally classified into traction and nontraction purposes.…”

Section: Introductionmentioning

confidence: 99%

“…Guan et al conducted a statistical analysis of the electricity consumption of metro stations in China and found that the annual electricity consumption of underground stations was about 131–144 kWh/m 21 . Furthermore, Guan et al also monitored the hourly energy consumption of metro systems and revealed that the hourly electricity consumption of train traction shows an intraday “U” shape on weekdays, indicating two symmetric peaks in the rush hours, while the station hourly electricity consumption shows an intraday “flat” shape, indicating it is nearly free from the effect of rush hour 12 . Lin et al indicated that the electricity consumption of ventilation and air‐conditioning (VAC) and lighting systems in metro stations can account for 55%–70% of the total station electricity use, and the building area as an important parameter affecting the energy consumption should be used as the basis for energy evaluation 22 .…”

Section: Introductionmentioning

confidence: 99%

Characteristics and assessment of the electricity consumption of metro systems: A case study of Tianjin, China

Yu,

You,

et al. 2023

Energy Science & Engineering

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Owing to the complexity of metros, the energy consumption characteristics of metro systems exhibit variability and the energy‐saving management of the systems encounters challenges. To encapsulate the essential characteristics of energy usage and to objectively assess the energy performance of metro systems, this study presents a generalized framework and applies it to a case study conducted in Tianjin. The study also employs correlation analysis to investigate the applicability of the indicators relevant to ridership. The results indicate that the monthly traction electricity consumption exhibits slight variation, while station electricity usage demonstrates substantial fluctuation with seasonal changes. For Tianjin Metro, the passenger factor hardly shows any effect on the electricity use of metro lines. The median value of traction electricity use is approximately 2.0 kWh/(car‐km) and that of the average annual station electricity use of underground lines ranges from 95 to 155 kWh/m2. The emission from the traction sector is 12.2 kgCO2/(vehicle‐km) and from the station sector is 118.6 kgCO2/m2. The study also identifies the energy‐intensive lines of the Tianjin Metro and compares the energy utilization among various global metro systems. The authors hope that this study can help shed light on the assessment of the energy status of metro systems and serve as a source of information for other City‐Metros to implement energy‐saving management.

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“…Statistics from the International Association of Public Transport indicate that the total mileage of rail transit is constantly increasing globally. During 2018–2020, countries such as China, India, Australia, and Indonesia, added 3300 km of operating mileage [ 1 ]; therefore, reducing energy consumption for rail transit can be a crucial climate change initiative for the transportation sector [ 2 , 3 ]. Due to climate differences in various regions, the energy consumption of rail transit air-conditioning (AC) systems accounts for 19.4–30% of the operational energy consumption [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Stratum Ventilation: Enabling Simultaneous Energy Conservation and Air Purification in Subway Cars

Mao

Wang

Liang

et al. 2022

IJERPH

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The supply of fresh air for underground rail transit systems is not as simple as opening windows, which is a conventional ventilation (CV) measure adopted in aboveground vehicles. This study aims to improve contaminant dilution and air purification in subway car ventilation systems and the safety of rail transit post-coronavirus disease pandemic era. We designed an air conditioning (AC) terminal system combined with stratum ventilation (SV) to enable energy consumption reduction for subway cars. We experimentally tested the effectiveness of a turbulence model to investigate ventilation in subway cars. Further, we compared the velocity fields of CV and SV in subway cars to understand the differences in their airflow organizations and contaminant removal efficiencies, along with the energy savings of four ventilation scenarios, based on the calculations carried out using computational fluid dynamics. At a ventilation flow rate of 7200 m3/h, the CO2 concentration and temperature in the breathing areas of seated passengers were better in the SV than in the CV at a rate of 8500 m3/h. Additionally, the energy-saving rate of SV with AC cooling was 14.05%. The study provides new ideas for reducing the energy consumption of rail transit and broadens indoor application scenarios of SV technology.

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Hourly energy consumption characteristics of metro rail transit: Train traction versus station operation

Cited by 6 publications

References 19 publications

Line-Specific Energy Modeling Framework for Urban Rail Transit Systems: A Case Study of Boston

Line-Specific Energy Modeling Framework for Urban Rail Transit Systems: A Case Study of Boston

Characteristics and assessment of the electricity consumption of metro systems: A case study of Tianjin, China

Stratum Ventilation: Enabling Simultaneous Energy Conservation and Air Purification in Subway Cars

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