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Online since: February 2014
Authors: Wei Hua Zeng, Zhe Liu
Chinese scholars have started studies on carbon emission reduction policies simulation since the late 1990s.
MARKAL model is a 3E model based on dynamic programming method, and many scholars use it for scenario simulations of carbon emission reduction policies and strategies optimization, and also technology options.
Sato determined Japan's major energy and energy technology options in the future based on analysis of CO2 reduction potential from 1990 to 2050 using MARKAL model.
The energy service demands for most sector s and subsectors are projected via regression analysis using historical data (1978– 2000), which provides the relationships between the energy service demands and the key indicators such as GDP or per capita GDP, etc.
For the sector s and subsectors without enough historical data for the regression analysis, the per capita energy service demands are projected via the comparison s with those of OECD countries in the year with the same level of per capita GDP as China’s future. 2 Optimization framework for Low-carbon Technology Development based on 3E model 2.1 Technology roadmap for Low-carbon Technology Development MARKAL model will be used to study low-carbon technology development roadmap.
Online since: October 2011
Authors: Li Hua Zhao, Cui Cui Qin
However, there is not still deterministic data and method about the energy saving effect of natural ventilation in residential building.
The wind speed and direction data in ESTPNV in TMY [5] were obtained for the ventilation environment simulation of rooms with the PHOENICS software.
The cooling loads reduction of the living room was the highest among the four rooms.
The cooling loads reduction of bedrooms was small.
The meteorological data for thermal environment analysis in China.
Online since: May 2013
Authors: Seong Eon Lee, Gyeong Seok Choi, Jae Sik Kang, Su Jin Woo
First, the energy consumption reduction effects based on the insulation performance of the developed insulator have been analyzed.
The energy reduction effect has been analyzed under the conditions as shown on Table 1, and the economic efficiency and carbon dioxide reduction effect has been analyzed during operation, based on the analyzed reduction effect.
Basic data regarding the possible range of unit cost has been used, when the unit sale price of the developed insulation plate was not yet calculated [7].
Conclusion The results of analyzing the energy consumption reduction effect as above, displayed a heating load reduction of 7.3% with the application of the developed insulation panel that has the same width as regulated by architectural standards.
However, only a reduction in carbon dioxide emissions occurred in the material production phase for Case 3, and there was no carbon reduction during operation.
Online since: November 2012
Authors: Yan Yang, Xian Feng Huang, Zong Xiao Yang
As the mass law was usually employed to predict the sound insulation performance of a wall in the design phase for its simplicity, but its predictive results are often higher than the measured data, especially in the frequency range of the coincidence effect.
Meanwhile their prediction on sound insulation of plate will be compared with the measured data [4], the comparison between sound insulation prediction and the measured data are shown from Fig. 2 to Fig. 4.
By considering comprehensively radiation coefficient and damping loss factor of a single-leaf wall, the reliable sound insulation prediction developed in this paper has a good agreement with the measured data.
The difference between the prediction of this paper and the measured data is less than 3dB, which is an acceptable deviation in engineering practice.
This calculation method in this paper can predict coincidence effect of a single-leaf wall, meanwhile the difference between the predicted sound insulation and measured data agrees better than it used to be, and it is able to meet the requirement of the engineering practice.
Online since: June 2010
Authors: Zhuan Zhao Yang, Zhi He, Lan Yun Li
Firstly, all fault data are discretized via the MEPA-based discretation method proposed by Ref.[1], and then according to the steps of Section 4.1, the total 753 reductions are obtained.
The fault data of the 4135 diesel engine No.
(2) The reduction based on RST can lower the workload of data acquisition and reduce the size of FPN structure, so then avoid the dimensional disaster problem of the FPN diagnosis method
(4) The application in 4135 diesel engine fault diagnosis data verifies the feasibility and validity of the proposed method.
With enough sample data, it can be applied to solve other classifier problem.
Online since: December 2014
Authors: Yi Gao
Then this study analyses the effects of routing selection as a transportation organization strategy from the view of carbon footprint by using the actual operation data and energy consumption data from a highway freight enterprise.
However in the real conditions, this calculation has no detail data support.
Data Collection.
Introduction of Data Collection Platform.
The authors wish to thank all persons who either provided the technical supports or helped on data collection and processing.
Online since: May 2012
Authors: Te Tien Ku, Chia Hung Lin, Chao Shun Chen
The communication module with RS-485 using Modbus protocol is used to ensure the accuracy of data transmission.
Either the power line carrier or ZigBee communication board is applied to set up the two way communication over the low voltage line between the meter and data concentration unit (DCU) at the secondary side of distribution transformers.
The broadband power line carrier over the high voltage line by the inductive coupler is used to transmit the power data from DCU to the substation and master station (MS).
The EMIC can calculate the voltage, current and other power parameters by retrieving the sampling data of both voltage and current sensors.
(3) The main meter collects the data of various appliances such as operation condition and power consumption to determine the control strategy of appliances to achieve more effective demand response
Online since: February 2015
Authors: Petr Kulhavý, Miloslav Pašek, Jakub Šašek, Jan Petřík
Vibration and Noise Reduction Analysis of Sheet Metal Structures with Damping Layer PETŘÍK Jan1,a, KULHAVÝ Petr1,b, PAŠEK Miloslav2,c and ŠAŠEK Jakub2,d 1Technical University of Liberec, Faculty of Mechanical Engineering, Studentská 2, 461 17 Liberec 1, Czech Republic 2Mecas ESI s.r.o., Brojova 16, 326 00 Plzeň, Czech Republic ajan.petrik@tul.cz, bpetr.kulhavy@tul.cz, cmiloslav.pasek@mecasesi.cz, djakub.sasek@mecasesi.cz Keywords: Damping, vibration, frequency response.
Vibration reduction in terms of lower acoustic noise level increases e.g. the passenger comfort, fulfills acoustic manufacturing standards, decreases the transportation impact on the environment etc.
Introduction Vibration and noise reduction of the sheet metal structures is the eternal topic for means of transportation development.
Mode f [Hz] f [Hz] [%] 1 10 10.1 1.00 2 63 63,5 0.79 3 178 179 0.56 4 352 353 0.28 The modal analysis simulation results show the acceptable correlation with experimental data.
The correlation with experimental data is acceptable (Fig. 5).
Online since: July 2011
Authors: Yong Qi Chen
Although traditional SVM has many advantages, it is only fit to estimate crisp data.
Given training data, wheredenotes the space of the input patterns.
The training data points are.
Fuzzy data analysis by possibilistic linear models[J].
Support vector interval regression machine for crisp input and output data.
Online since: January 2012
Authors: Noor Asmawati Mohd Zabidi, Sardar Ali, Duvvuri Subbarao
The reduction of iron oxides generally takes place in two steps.
The degree of reduction (DRT) is defined as the ratio of hydrogen consumed for the complete reduction of metal oxides from ambient temperature to 800°C to the amount of hydrogen calculated for this complete reduction [8].
Hydrogen consumed, given by the TPR profiles, was used to calculate the degree of reduction.
Chemisorption data for the CNTs-supported nanocatalysts Catalyst DRT(%)a Amount CO adsorbed [µmol/g] Co 89.3 9.0 70Co30Fe 93.3 13.2 50Co50 Fe 72.0 7.7 30Co70 Fe 78.0 5.8 Fe 60.0 6.3 Figure 3 shows the XRD patterns of the monometallic and bimetallic nanocatalysts on CNTs.
The catalytic activity and product selectivity data were calculated after 5 hours of time on stream.
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