Advanced Materials Research Vols. 953-954

Abstract: The principles of SNCR process and factors affecting the denitrification efficiency are described in details. The efficiency and cost of SNCR and SCR processes are briefly compared. SNCR process has advantages of short construction period, low investment cost and so on. If the discharge standard is hard to meet, coupling SNCR with other NO_x control methods can be considered to reduce NO_x emission. Based on the complex circumstance of units in China, SNCR process is very suitable for application in industry.

Abstract: A type of novel solvent absorption method using propyl ether as absorbent was proposed, which the coalbed methane (CBM) was concentrated and simulated in the form of physical absorption. The reasonable process had been designed and analyzed by Aspen Plus v7.3 . Through the simulation method PSRK, effects of the number of theoretical stages and the optimal operating pressure, temperature, amount of fresh absorbent added were studied respectively. The optimal enrichment effect of CH₄/N₂ feed ratio was determined. Simulation results show that when the feed molar ratio of CH₄/N₂ is 3:7, it can improve methane concentration to 67.44% with a recovery ratio of 87.11%. When feeding methane concentration increased to more than 50%, it can be enriched to more than 80%, which is suitable for the CBM civil and industrial utilization value. The enrichment process designed can provide an idea for the enrichment of CBM.

Abstract: This paper introduces the new energy vehicles drive system for the future development trend, analysis and comparison in the new energy vehicles drive motor technical indicators. By Ansolf analysis software to optimize the motor rotor, to improve the air gap flux density and the electric potential sine.

Abstract: A comparative study has been done on a diesel engine, which was equipped with high pressure common rail system. Diesel, soybean oil methyl ester and waste cooking oil methyl ester were test to analyze the influence of bio-diesel on the number and size distribution of PM emissions. The results showed that bio-diesel can significantly reduce the dry soot emission due to the containing of oxygen and the advantage of components, which results the decrease of accumulation particle emissions and total weight emissions. The size distribution of bio-diesel PM emissions becomes unimodal. The density and viscosity of bio-diesel are greater than that of diesel, which results in a significant increase of the number of nucleation particles due to the disadvantages of injection and mixture formation.

Abstract: Compared with common switching power supply, EV charger has more functional requirements, more severe demands on electrical performance, and wider range of output voltage and current value, what will make the test more complex. Variety of conditions will be set to test the electrical performance of the charger completely, and a large amount of test data will be generated. This article describes the data management platform of EV charging equipment test, which uses real-time database to manage the data. It also detailed introduce data collection and storage, data analysis and report generation and database design of the test platform. The test results show that this system can manage the test data safely, quickly and reliably, providing a convenient and fast way to achieve rapid automated charger test.

Abstract: As a promising transport in the future, electric vehicles plays an important role in people's lives and energy conservation. Planning of electric vehicle charging stations has a far-reaching significance for the popularity of electric vehicles. In this paper, we discuss the siting problem of electric vehicle charging station and propose a two-step method of optimization method. Firstly, we establish a charging station location model, then use Voronoi diagram to determine the preliminary zone, finally we get this problem optimally solved by immune algorithm.The example verifies feasibility of this model.

Abstract: When electric vehicles switch on power grid largely, it will impact on the operation of power system if there aren’t any management and control. This paper compared different characteristics of electric vehicles in charge and discharge from different regions. It divided the situations into three areas: residential area, commercial district, industrial zone; And established avoidable load model, transferable load model and combined load model based on different types of users. Through the analysis of the examples, verified that different load model can effect on loads from different regions, and finally concluded that, the models can play the role of “cut a peak to fill valley”. Therefore, it is very important to transfer part of the electro-demand from the peak period to low period through reasonable price guide.

Abstract: The electric demand of EV in the public transportation sector is increasingly important to the future city’s power distribution and even infrastructure construction. According to the characteristic of public transportation, this paper analyzed the influence factors of EV power load and they were divided into three parts. Then a predicting model of EV power load in public transportation based on fuzzy clustering analysis method was put forward. We used BP (Back Propagation) neural network algorithm to solve the fuzzy clustering analysis problem. Finally the predicting model was operated in a practical example. Results showed that this predicting model of EV power load in public transportation based on fuzzy clustering analysis could be appropriately applied in reality.

Abstract: With the large-scale EV(electric vehicle) integrating into the power system, new challenges has been brought to the planning as well as the security of the network. There will be a great impact on the system if the system operator ignores the vast quantity of EV charging at the same. Thus, taking measures, e.g. the multiple tariff, is of vital importance to give the guidance to the EV owners to charging wisely to save the daily cost on charging, as well as reduce the gap between peak load and valley load. A model for TOU has been presented in this paper. In the model , an objective function is declared to describe the purpose of TOU, and the optimal solution is gained according to the response of EV when the price of electricity changes. Finally , a case based on the daily load curve of a certain place is calculated with the model in this paper.

Abstract: In order to improve the stability of an electric vehicle on different road conditions, this paper puts forward a fuzzy PI direct torque control of an adaptive, through the electronic differential control, the parameters of two high torque motor is adjusted dynamically, so as to replace the traditional mechanical differential. Analysis for system stability, the simulation results show that, with Matlab/Simulink, in a different way, this method can obtain good steady-state tracking accuracy and small dynamic error integral.