scholarly journals Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System

2020 ◽  
Vol 2020 ◽  
pp. 1-22 ◽  
Author(s):  
Wenxin Li ◽  
Qiyuan Peng ◽  
Chao Wen ◽  
Shengdong Li ◽  
Xu Yan ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Energy Consumption ◽  
Total Energy ◽  
Energy Saving ◽  
Urban Rail Transit ◽  
Total Energy Consumption ◽  
Transit System ◽  
Running Time ◽  
Urban Rail

Optimizing to increase the utilization ratio of regenerative braking energy reduces energy consumption, and can be done without increasing the deviation of train running time in one circle. The latter entails that the train timetable is upheld, which guarantees that the demand for passenger transport services is met and the quality of services in the urban rail transit system is maintained. This study proposes a multi-objective optimization model for urban railways with timetable optimization to minimize the total energy consumption of trains while maximizing the quality of service. To this end, we apply the principles and ideas of calculus to reduce the power of the velocity in the train energy consumption model. This greatly simplifies the complexity of the optimization model. Then, considering the conflicting requirements of decision-makers, weight factors are added to the objective functions to reflect decision-makers’ preferences for energy-saving and the quality of service. We adopt the nondominated sorting genetic algorithm-II (NSGA-II) to solve the proposed model. A practical case study of the Yizhuang urban railway line in Beijing is conducted to verify the effectiveness of the proposed model and evaluate the advantages of the optimal energy saving timetable (OEST) in comparison to the optimal quality of service timetable (OQOST). The results showed that the OEST reduced total energy consumption by 8.72% but increased the deviation of trains running time in one circle by 728 s. The total energy consumption was reduced by 6.09%, but there was no increase in the deviation of train running time in one circle with the OQOST.

Thinking of Comprehensive Energy-Saving System Construction for Urban Rail Transit

2014 ◽  
Vol 505-506 ◽  
pp. 405-409
Author(s):  
Jun Ke Liang ◽  
Zhi Gang Liu ◽  
Yuan Chun Huang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Optimization Design ◽  
High Efficiency ◽  
High Energy ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
System Construction ◽  
Planning Period ◽  
Urban Rail

The High Energy Consumption of the Current Urban Rail Transit Industry, High Efficiency Energy Saving Measures must be Taken. this Paper Entity from the Traction Energy Consumption, Building Structure and Operating Equipment Aspects of the Current Situation, Described the Energy Saving Strategies. Aiming at the Present Problems Existing in Energy Saving Practice, this Article Puts Forward the Comprehensive Energy Saving System which Contains Optimization Design in Planning Period, Low Resource Consumption in Construction Period, Energy Saving Work in Operation Period. above all, Implement Energy Saving Practice at Every Concrete Work of Reaching.

scholarly journals Design a Semantic Scale for Passenger Perceived Quality Surveys of Urban Rail Transit: Within Attribute’s Service Condition and Rider’s Experience

2020 ◽  
Vol 12 (20) ◽  
pp. 8626
Author(s):  
Weiya Chen ◽  
Zixuan Kang ◽  
Xiaoping Fang ◽  
Jiajia Li
Keyword(s):  
Reliability And Validity ◽  
Service Condition ◽  
Perceived Quality ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit System ◽  
Urban Rail ◽  
Service Conditions ◽  
Heterogeneous Service

A better understanding of passenger perceived quality helps urban rail transit managers adopt better strategies to improve the service quality of urban rail transit, which is beneficial to the sustainable development of an urban rail transit system itself and cities. This paper designs a semantic scale to survey passenger perceived quality of urban rail transit. The methodology is selecting specific features of an attribute and then describing the features to present the attribute’s service condition and the rider’s experience. The scale’s options can reduce cognitive steps and hesitation for riders to answer the survey questionnaire. Furthermore, it enables urban rail transit managers to understand passenger perceived quality more visually. After verifying the reliability and validity of the semantic scale, an empirical study was conducted to compare the evaluation results of the proposed semantic scale, Likert, and numeric scales. Compared to the Likert and numeric scales, the evaluation result of the semantic scale is fairer for attributes with homogeneous service conditions over operation periods from the transit agency perspective. Meanwhile, it is more homogeneous for attributes with homogeneous service conditions and is more heterogeneous for attributes with heterogeneous service conditions.

Study and Determination of Evaluating Indicator of Public Building Energy Consumption in Hot Summer and Warm Winter Area

2013 ◽  
Vol 838-841 ◽  
pp. 1953-1958
Author(s):  
Hai Li Sun ◽  
Zhi Chao Wang ◽  
Jun Jun Lu
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Saving ◽  
Building Energy ◽  
Shopping Malls ◽  
Total Energy Consumption ◽  
Public Building ◽  
Partial Energy ◽  
Consumption Index

Determination of buildingenergy consumption index is important for building energy saving.This paper simulits energy consumption of fifty public building(incluiding 15 non - government office buildings, 11 government officebuildings, 12 shopping malls, 12 hotel buildings) after abandoning theunreasonable design and operation factors. We can obtain the building total energy consumption index andpartial energy consumption index.Then all types of building energy consumptiondata are processed with the method of mathematical statistics.We can get fourtypes of biuding energy consumption index and partial energy consumptionindex.This study can provide the basis for energy-saving operation andenergy-saving reformation.

scholarly journals Energy-Efficient Driving Strategies for Multi-Train by Optimization and Update Speed Profiles Considering Transmission Losses of Regenerative Energy

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3573 ◽  
Author(s):  
Chen ◽  
Xiao ◽  
Sun ◽  
Wang ◽  
Jin ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Efficient ◽  
Urban Rail Transit ◽  
Electrical Network ◽  
Optimization Strategy ◽  
Total Energy Consumption ◽  
Optimal Control Strategy ◽  
Train Speed ◽  
Regenerative Energy

This paper aims at minimizing the total energy consumption of multi-train in an urban rail transit (URT) system by optimizing and updating speed profiles considering regenerative braking power losses on the catenary. To make full use of regenerative energy and decrease traction energy consumption simultaneously, energy-efficient control strategies of multi-train and a corresponding solution method are proposed. The running process of multi-train is divided into several sections based on passenger stations. Speed profiles of each train in each section are collaboratively optimized by searching only one transition point from the optimized single-train speed profile, which can be worked out by searching the switching point of coasting mode, and the optimized multi-train speed profiles are updated based on departure orders of trains. Moreover, an electrical network model is established to analyze energy flows, and dynamic losses of recovered regenerative energy on the line can be calculated. Besides, an improved optimization strategy of multi-train, which contains seven motion phases, is presented for steep slope. Simulation results based on Guangzhou Metro Line 8 verify the effectiveness of the proposed methods. Total energy consumption of optimized multi-train can be decreased by 6.95% compared with multi-train adopted single-train optimal control strategy, and the energy-saving rate of 21.08% can be achieved compared with the measured data by drivers under same trip time. In addition, the influence of departure interval on total energy consumption is analyzed and the optimal departure interval can be obtained.

scholarly journals Design of a Traffic-Aware Governor for Green Routers

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Alfio Lombardo ◽  
Vincenzo Riccobene ◽  
Giovanni Schembra
Keyword(s):  
Quality Of Service ◽  
Energy Consumption ◽  
Energy Saving ◽  
Analytical Model ◽  
Case Scenario ◽  
Proposed Model ◽  
Traffic Impacts ◽  
Reduction Of Energy Consumption

Today the reduction of energy consumption in telecommunications networks is one of the main goals to be pursued by manufacturers and researchers. In this context, the paper focuses on routers that achieve energy saving by applying the frequency scaling approach. The target is to propose an analytical model to support designers in choosing the main configuration parameters of the Router Governor in order to meet Quality of Service (QoS) requirements while maximizing energy saving gain. More specifically, the model is used to evaluate the input traffic impacts on the choice of the active router clock frequencies and on the overall green router performance. A case study based on the open NetFPGA reference router is considered to show how the proposed model can be easily applied to a real case scenario.

The Energy-Saving Research of Southward Balcony in Heating Area

2013 ◽  
Vol 291-294 ◽  
pp. 1072-1076
Author(s):  
Ming Zhi Feng ◽  
Bai Yang Jin
Keyword(s):  
Energy Consumption ◽  
Solar Energy ◽  
Energy Loss ◽  
Total Energy ◽  
Energy Saving ◽  
Building Energy ◽  
Current Situation ◽  
Existing Buildings ◽  
Total Energy Consumption ◽  
Global Energy

As the shortage of global energy is increasing and the building energy consumption in the proportion of total energy consumption is rising, the reconstruction of energy saving for existing buildings gets more and more attention. Through the research on the situation of southward balcony in the heating area and analyzing the disadvantages of the current situation, the author puts forward a preliminary idea of energy-saving for southward balcony. The purpose of the idea is to reduce the energy loss and increase the efficiency in the use of solar energy.

The Prediction of Energy Consumption Based on GM(1,1) Model in Liaoning Province

2012 ◽  
Vol 601 ◽  
pp. 532-536
Author(s):  
Yu Xi Jiang ◽  
Xiang Chao Wei ◽  
Li Lin
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Saving ◽  
Liaoning Province ◽  
Grey Theory ◽  
Energy Problem ◽  
Total Energy Consumption

The energy problem is very important to the economic and social developments. Based on grey theory, this paper presents a GM (1,1) model. Using it, the total energy consumption and per unit of GDP energy consumption are predicted during the period of 12th Five-year in Liaoning Province. Comparing the results with the objectives of 12th Five-year plan, the energy-saving situations are analyzed.

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