Timetable Optimization Model for Metro Trains: Considering Energy Saving

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Yongneng Xu ◽  
Zhiwei Xu ◽  
Huimin Yu
Keyword(s):  
Energy Saving ◽  
Optimization Model ◽  
Timetable Optimization

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

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Dingjun Chen ◽  
Sihan Li ◽  
Junjie Li ◽  
Shaoquan Ni ◽  
Xiaolong Liu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Travel Time ◽  
High Speed ◽  
Optimization Techniques ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Running Time ◽  
Total Travel Time ◽  
Timetable Optimization

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.

scholarly journals Energy Saving and Low-Cost-Oriented Design Processes of Blank’s Dimensions Based on Multi-Objective Optimization Model

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 811 ◽  
Author(s):  
Yongmao Xiao ◽  
Qingshan Gong ◽  
Xiaowu Chen
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Optimization Model ◽  
Low Cost ◽  
Minimum Cost ◽  
Processing Parameters ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective ◽  
Set Up

The blank’s dimensions are an important focus of blank design as they largely determine the energy consumption and cost of manufacturing and further processing the blank. To achieve energy saving and low cost during the optimization of blank dimensions design, we established energy consumption and cost objectives in the manufacturing and further processing of blanks by optimizing the parameters. As objectives, we selected the blank’s production and further processing parameters as optimization variables to minimize energy consumption and cost, then set up a multi-objective optimization model. The optimal blank dimension was back calculated using the parameters of the minimum processing energy consumption and minimum cost state, and the model was optimized using the non-dominated genetic algorithm-II (NSGA-II). The effect of designing blank dimension in saving energy and costs is obvious compared with the existing methods.

Energy-Saving Oriented Matrix Management Mode and its Key Techniques for Engineering

2012 ◽  
Vol 256-259 ◽  
pp. 3077-3080
Author(s):  
Chun Guang Chang ◽  
Zhao Nan Jia ◽  
Ya Chen Liu ◽  
Fan Wen Kong
Keyword(s):  
Energy Saving ◽  
Optimization Model ◽  
Two Dimensions ◽  
Management Mode ◽  
Engineering Project ◽  
Construction Engineering ◽  
Shenyang City ◽  
Basic Stage ◽  
Usage Stage ◽  
Key Techniques

For enhancing energy-saving for construction engineering project, energy-saving oriented matrix management mode (ESOMMM) is proposed. The frame of the ESOMMM in engineering project is established from two dimensions (basic stage and key content). Under the precondition that the key contents are implemented, the key energy-saving techniques are respectively studied from planning, building, rebuilding and usage stage. And the coordination optimization model for key techniques under ESOMMM is established to solve conflict among varied key techniques. The energy-saving achievement after application is analyzed by applying ESOMMM, its key techniques, and the coordination optimization model in Shenyang city. The result shows that above mode, key techniques and model in engineering project will be benefit for enhancing the energy-saving greatly.

A Two-Objective Timetable Optimization Model in Subway Systems

2014 ◽  
Vol 15 (5) ◽  
pp. 1913-1921 ◽  
Author(s):  
Xin Yang ◽  
Bin Ning ◽  
Xiang Li ◽  
Tao Tang
Keyword(s):  
Optimization Model ◽  
Timetable Optimization

An Integrated Optimization Model for Energy Saving in Metro Operations

2019 ◽  
Vol 20 (8) ◽  
pp. 3059-3069 ◽  
Author(s):  
Jiaxiao Feng ◽  
Zhirui Ye ◽  
Chao Wang ◽  
Mingtao Xu ◽  
Samuel Labi
Keyword(s):  
Energy Saving ◽  
Optimization Model ◽  
Integrated Optimization

Generation Resource Planning Optimization Model under Emission Constraint

2013 ◽  
Vol 772 ◽  
pp. 868-871
Author(s):  
Sun Lei ◽  
Zhong Fu Tan ◽  
Li Wei Ju ◽  
He Yin ◽  
Zhi Hong Chen
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Optimization Model ◽  
Resource Planning ◽  
Power Industry ◽  
Pollutant Emissions ◽  
Total System ◽  
Planning Optimization ◽  
Pollutants Emission ◽  
Generation Capacity

As a large energy consumption and pollutants emission department, power industry energy saving and emission reduction is of great significance for the community's overall energy consumption and pollutants emission control. As the main energy saving measures of the power industry, optimize the structure of power based on grid-connected renewable energy. Therefore, this article is based on energy distribution in China, considering load, electricity, resources, environmental pollution and the unit served, target is the total system power generation installed capacity and pollutant emissions at minimum costs, to construct generation resource planning optimization model under emission constraint, install generation capacity costs, running costs and the cost of pollutant emissions will be take into account, in order to make reasonable recommendations on power resource planning in China.

Application of Integrated Concept in Industries for Maximizing Energy Saving Potential

2014 ◽  
Vol 496-500 ◽  
pp. 2598-2602
Author(s):  
Yi Ru Dai ◽  
Jian Wang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Optimization Model ◽  
Process Model ◽  
Process Integration ◽  
Energy Saving Potential ◽  
Modeling Approach ◽  
Energy Material ◽  
Enormous Amount ◽  
Integrated Concept

An enormous amount of reusable energy, especially heat, steam, water, oil and so on can be generated or retrieved during the production in industries. It is profitable for companies to efficiently recycle this kind of energy for cutting down on energy consumption. To achieve this, the integrated concept is applied to maximizing energy saving potential in industries. A brief introduction to the development of the process integration technology is given at first. A modeling approach dedicated to build process model and optimization model is then proposed, which integrates all the production activities through the formation of energy, material, and information and emission flow. Sine chloralkali production is a typical industry process involving with considerable energy worthwhile to reuse, the proposed modeling approach are carried out to this case for demonstrating the implementation of the integrated concept in industries.

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