To Analyze The Influence Factors on Energy Saving of Hybrid Bus

2012 ◽  
Vol 605-607 ◽  
pp. 19-23
Author(s):  
Ya Lee Jiao ◽  
Yao Ping Li ◽  
Wen Sheng Yan
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Recovery ◽  
Influence Factors ◽  
Energy Condition ◽  
Hybrid Operation ◽  
Hybrid Bus

In order to discuss the different factors, influence on hybrid bus energy saving, we analyzed the collected data information which got when the hybrid bus driving. Discussing the situation that energy consumption and energy recovery when the hybrid operation. At last get the best operational condition when the hybrid bus can play a energy-saving role by analyze the factors such as recovery energy condition, different elevations and different starting ways

scholarly journals Analysis and Forecasting of the Energy Consumption in Wastewater Treatment Plant

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
ZhenHua Li ◽  
ZhiHong Zou ◽  
LiPing Wang
Keyword(s):  
Wastewater Treatment ◽  
Energy Consumption ◽  
Energy Saving ◽  
Wastewater Treatment Plant ◽  
Rbf Neural Network ◽  
Influence Factors ◽  
Treatment Plant ◽  
Fuzzy Clustering Method ◽  
Complete Set ◽  
The Relationship

Wastewater treatment plant (WWTP) is the energy-intensive industries. Energy is consumed at every stage of wastewater treatment. It is the main contributor to the costs of WWTP. Analysis and forecasting of energy consumption are critical to energy-saving. Many factors influence energy consumption. The relationship between energy consumption and wastewater is complex and challenging to identify. This article employed the fuzzy clustering method to categorize the sample data of WWTP and analyzed the relationship between energy consumption and the influence factors in different categories. The study found that energy efficiency in various categories was changed and the same influence factors in different types had different influence intensity. The Radial Basis Function (RBF) neural network was used to forecast energy consumption. The data from the complete set and categories was adopted to train and test the model. The results show that the RBF model using the date from the subset has better performance than the multivariable linear regression (MLR) model. The results of this study provided an essential theoretical basis for energy-saving in WWTP.

scholarly journals Development and Evaluation of Energy-Saving Electro-Hydraulic Actuator

Actuators ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 302
Author(s):  
Triet Hung Ho ◽  
Thanh Danh Le
Keyword(s):  
Mathematical Model ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Recovery ◽  
Hydraulic Systems ◽  
Hydraulic Actuator ◽  
High Effectiveness ◽  
Simulation Results ◽  
The Mathematical Model ◽  
Insight Into

This paper will develop a novel electro-hydraulic actuator with energy saving characteristics. This system is able to work in differential configurations through the shifting algorithm of the valves, meaning that this developed system can be adjusted flexibly to obtain the desirable working requirements including the high effectiveness of energy recovery from the load, high velocity or torque. Instead of establishing the mathematical model for the purpose of the dynamic analysis, a model of the developed actuator is built in AMESim software. The simulation results reveal that the system is able to save approximately 20% energy consumption compared with a traditional without energy recovery EHA. Furthermore, to evaluate the accuracy of the model, experiments will be performed that prove strongly that the experimental results are well matched to the results attained from the simulation model. This work also offers a useful insight into designing and analyzing hydraulic systems without experiments.

scholarly journals An Innovative Design of Decoupled Regenerative Braking System for Electric City Bus Based on Chinese Typical Urban Driving Cycle

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yanfeng Xiong ◽  
Qiang Yu ◽  
Shengyu Yan ◽  
Xiaodong Liu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Control Strategy ◽  
Recovery Rate ◽  
Energy Recovery ◽  
Regenerative Braking ◽  
City Bus ◽  
Braking System ◽  
Recovery System ◽  
Braking Energy Recovery

This paper proposes a novel decoupled approach of a regenerative braking system for an electric city bus, aiming at improving the utilization of the kinetic energy for rear axle during a braking process. Three contributions are added to distinguish from the previous research. Firstly, an energy-flow model of the electric bus is established to identify the characteristic parameters which affect the energy-saving efficiency of the vehicle, while the key parameters (e.g., driving cycles and the recovery rate of braking energy) are also analyzed. Secondly, a decoupled braking energy recovery scheme together with the control strategy is developed based on the characteristics of the power assistance for electric city bus which equips an air braking system, as well as the regulatory requirements of ECE R13. At last, the energy consumption of the electric city bus is analyzed by both the simulation and vehicle tests, when the superimposed and the decoupled regenerative braking system are, respectively, employed for the vehicle. The simulation and actual road test results show that compared with the superposition braking system of the basic vehicle, the decoupled braking energy recovery system after the reform can improve the braking energy recovery rate and vehicle energy-saving degree. The decoupled energy recovery system scheme and control strategy proposed in this paper can be adopted by bus factories to reduce the energy consumption of pure-electric buses.

District Energy-Saving Measures and their Selection Method

2013 ◽  
Vol 724-725 ◽  
pp. 951-954
Author(s):  
Xiang Qian Li
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Intensity ◽  
Influence Factors ◽  
Household Energy ◽  
Household Energy Consumption ◽  
District Energy ◽  
Per Capita ◽  
Value Determination ◽  
The Government

Per GDP energy consumption is the main indicator of district energy-saving effect. The Article firstly analyzed the influence factors of per GDP energy consumption. Then summarized energy-saving measures as six aspects: optimizing industrial structure; reducing energy intensity of industries; reducing per capita household energy consumption; limiting resident population; improving efficiency of energy conversion; improving energy storage and transportation management level. According to implementing body, energy-saving measures are divided into government measure and enterprise measure. District energy-saving measures mainly refer to the government measures. The selection course of district energy-saving measures is divided into five steps: initial prediction of per GDP energy consumption of term-end; analysis of measures of reducing industry energy intensity, per capita household energy consumption and energy loss; second prediction of per GDP energy consumption of term-end; compare with the target value; determination of district energy-saving measures.

Energy-Saving and Optimization of Pulverizing System in Coal-Fired Power Plant

2011 ◽  
Vol 347-353 ◽  
pp. 3151-3159
Author(s):  
Ji Li ◽  
Jun Wei ◽  
Yong Ping Yang
Keyword(s):  
Energy Consumption ◽  
Power Plant ◽  
Energy Saving ◽  
Power Plants ◽  
Influence Factors ◽  
Unit Load ◽  
Operation Condition ◽  
Frequent Change ◽  
Complex Interactions ◽  
Extra Energy

Pulverizing system is the main energy-consumption equipment in coal-fired power plant. In China, coal-fired power plants are obliged to alter operation condition in response to the frequent change of unit load and coal quality, which results in non-standard operation condition and extra energy consumption of pulverization system in consequence. Hence it is of great significance to study energy-saving and optimization of pulverizing system. This paper first analyzes the influence factors on energy consumption of pulverizing system respectively according to literature survey. Due to the large numbers of influence parameters and their complex interactions, these parameters are certain to influence power consumption synergistically in the form of dynamic non-linear variation. This paper groups and defines these parameters into three categories, namely external parameters, constrained parameters, and controlled parameters. Based on the definition, the general model considering all the three groups of parameters is proposed, which considers all the influence factors for energy consumption under all unit conditions. Subsequently, the energy-saving and optimization proposal for the pulverizing system are proposed.

Analyse the Influence Factors of Energy-Saving and Emission-Reduction in Asphalt Pavement Construction

2013 ◽  
Vol 774-776 ◽  
pp. 913-918
Author(s):  
Li Du ◽  
Yu Mei Li ◽  
Cong Hao Li
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Emission Reduction ◽  
Heating Temperature ◽  
Asphalt Pavement ◽  
Asphalt Mixture ◽  
Influence Factors ◽  
Construction Process ◽  
Construction Machinery ◽  
Pavement Construction

Base on the process of asphalt pavement construction, analyse the influence factors of energy-saving and emission-reduction in asphalt pavement construction. Research shows thatduring the asphalt pavement construction process, all kinds of construction machinery are the main source of energy consumption and emissions; Asphalt mixture also emission part of gases itself, which closely related with the heating temperature of the mixture.

Mathematical Decomposition for Influence Factors of Unit GDP Energy Consumption and Demonstration in China

2012 ◽  
Vol 601 ◽  
pp. 437-448
Author(s):  
Chun Yan Dai ◽  
Xi Liang Zhang ◽  
En Chuang Wang ◽  
Zhen Liu ◽  
Ming Hui Li ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Intensity ◽  
Influence Factors ◽  
Structural Factors ◽  
Dramatic Decrease ◽  
Methodological Foundation ◽  
Energy Efficiency Improvement ◽  
Fundamental Reason

Analysed various influence factors of unit GDP energy consumption, discussed the mathematical decomposition and calculation method and did empirical analysis of the influence and role on unit GDP energy consumption changes since “The Fifth Five-Year Plan”.The main conclusions are:(1) the drop of the energy efficiency is caused both by technical factors and structural factors , in which structural factors being the fundamental reason during the Eleventh Five-Year period. (2) technological energy saving is the main direct driving force of the dramatic decrease in energy intensity of China , and the alternation of structural energy saving from negative to positive is the crucial factor determining the dramatic decrease of the energy intensity of China ,and energy-saving in livelihood is a stable impetus for improving China energy efficiency improvement in the Eleventh Five-Year period .The research provided the methodological foundation for exploring the specific ways to achieve the energy efficiency goal of “The Twelfth Five-Year Plan” and also to provide a reference for the policy making of “The Twelfth Five-Year Plan” energy efficiency.

The Influence Factors of Energy Consumption and Energy Savings Potential in Office Buildings

2012 ◽  
Vol 209-211 ◽  
pp. 1820-1824
Author(s):  
Shuo Peng Zhang ◽  
Xiao Ju Xu ◽  
Rui Li
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Management ◽  
Energy Savings ◽  
Influence Factors ◽  
Office Buildings ◽  
User Behaviors ◽  
The North

This research is aimed at exploring the influence factors of energy consumption and energy management by researching 16 big office buildings located in the north of China, and offer some energy saving suggestions by improving the user behaviors.

Evaluation on Energy Consumption of Steel Enterprises Based on TOPSIS

2011 ◽  
Vol 58-60 ◽  
pp. 709-714
Author(s):  
Dong Feng He ◽  
Ai Jun Xu ◽  
Hong Bing Wang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Recovery ◽  
Analysis Method ◽  
Entropy Weight ◽  
Whole Process ◽  
Process Energy ◽  
Comprehensive Indicator ◽  
Topsis Model

Evaluation on energy consumption is a key point for research of energy-saving work, and the current research mainly focuses on the energy consumption of individual processes. In order to solve the problem of energy consumption for the whole process of steel enterprise, three types of energy consumption indicators are proposed: comprehensive indicator, process energy consumption indicator and energy recovery indicator. A TOPSIS model has been established for energy consumption of steel enterprise. In order to avoid the tolerance caused by experts’ subjective consciousness, in the model, the indicator weight will be confirmed by entropy weight. Five steel enterprises were evaluated using this model. The result of evaluation is almost the same as the result of benchmarking analysis method, which has verified the availability of the model. The model has primarily solved the energy consumption problem for the whole process of steel enterprise.

Based on Energy Recovery of Hydraulic System’s Calculation of Energy Consumption

2012 ◽  
Vol 468-471 ◽  
pp. 654-657
Author(s):  
Yong Tian ◽  
Hong Wei Gao ◽  
Bo Liu ◽  
Wei Qi Li
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Hydraulic System ◽  
Energy Recovery ◽  
Total Power ◽  
Saving Effect

Introduced the energy recovery hydraulic elevator system's principle of work, calculated the uplink and the downlink of the hydraulic elevator system's useful work, total power and efficiency, results show that energy-saving effect of the hydraulic system was more obvious.

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