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Online since: May 2012
Authors: Xiao Wei Zhang, Zhong Ming Xiong, Ni Na Su
The whole model to establish in accordance with the construction drawing, conducive to contrast with the field loading test data.
Setting the rigid tie and support model For the finite element analysis model of single beam, in order to facilitate each node and each member of the extracted data, the finite element model of default node number and unit number as a result number.
Internal force, bending moments reduction of 4.6~10.2%, shear reduction of 6.5~8.7%.
Displacement, deflection reduction of 6.1%, horizontal displacement reduction of 7.2%.
Loading is divided into five stages, each stage stops 20 minutes, using stop gap for data acquisition and recording.
Online since: October 2012
Authors: Yan Ke, Pei Yu Ren, Pei Yi Ding
Sustainable Approach and Practice on Environmental Management and Carbon Emission Reduction in the Tourism Industry Yan Ke ¹,a, Peiyi Ding 2,b, Peiyu Ren3,c 1 Regional director of EarthCheck Pty Ltd,PO Box 12149,George Street,Queensland 4003,Australia 2 School of Tourism,The University of Queensland,St.
This paper introduces a holistic approach to environmental management and carbon emission reduction with practical application in the tourism industry by EarthCheck program.
The three most complete global temperature records available – from the UK Hadley Centre, NASA, and the US National Climate Data Centre – all show a clear upward trend in global average temperatures over the last 150 years (calculated using an 11 year running average).
A Holistic Approach to Environmental Management and Carbon Emission Reduction Based on 13 years of research by the Sustainable Tourism Cooperative Research Centre, the world’s largest dedicated research centre specialising in sustainable tourism and research funded by Australian federal government and its successor, the EarthCheck Research Institute, EarthCheck benchmarking program was developed and now operates in over 70 countries and services in excess of 1,300 tourism businesses.
The holistic approach to environmental management and carbon emission reduction provides a comprehensive framework for the business to improve resource consumption efficiency and environmental and social performance.
Online since: March 2006
Authors: Chae Sung Gee, Ree Ho Kim, Jinwoo Jeong, Sang Ho Lee
To reduce these damages, stormwater runoff reduction facilities were deemed necessary.
Surface runoff, precipitation runoff and temperature were recorded with 5 second interval of data logger measurement.
Schematic diagram of experiment device Results Water-quantity reduction The averages of water-quantity reduction rate in each permeable pavement are presented in Table 1 when rainfall rate with hydraulic pump set 25 and 50 mm/h for the duration 30 minutes.
Surface Flow rate Valve Artificial rainfall Pump Precipitation runoff Artificial sunset Surface runoff Permeable pavement Data logger measurement M Storage vessel Temperature sensor runoff means the effluent of pavement non-filtered and precipitation runoff means the effluent of pavement filtered in system.
Type B pavement obtained runoff reduction rate of 95.8 and 81.4 % in 25 and 50 mm/h of rainfall condition, respectively.
Online since: May 2020
Authors: Li Wei Hao, Xiao Qing Li, Xin Ping Lin, Yun Fa Feng, Qi Ling Chen, Tao Chen, Ai Wei Liu
Collection of Enterprises’ on-site Data.
The enterprises’ on-site data include data on raw material consumption, energy consumption, pollutant emissions and transportation (transportation means, distances, and volumes) during the production stage of cement clinker.
Collection of Background Data.
The representative descriptions of various background data are shown in Table 1.
Table 1 Description of background data.
Online since: August 2013
Authors: Tao Zhao, Xue Gou
Achieving the carbon emission reduction target is very hard, therefore, changing the economy dependence on energy consumption development mode and improving technology level are the most important way for CO2 emissions reduction in Tianjin of China.
Li et al [6] use STIRPAT model and panel data methods, the use of the elasticity coefficient analysis of demographic factors, economic factors and technical factors on the impact of carbon emissions in the different regions.
Therefore, we took Tianjin as a study site because of its significance to achieve the carbon reduction target for China as the first batch of low-carbon economy city [8], and used Tianjin’s energy, population and economic data 1995-2008.
In Section3, we clarified the data resources.
Economy and population in the paper are from the 1996-2009 Tianjin Statistical Yearbook, the relevant data are shown in Table 2.
Online since: January 2012
Authors: Philipp Nusskern, Jürgen Hoffmeister, Volker Schulze
It is reported that a decreasing relative density causes a reduction of incubation and overall isothermal transformation time.
The isothermal time temperature transformation diagrams for this powder-metallurgical alloy are presented and Avrami-type equations are fitted to the measured data.
In contrast, with a growing porosity a reduction of incubation and transformation end is detected.
By this default, Eq. 2 was fitted to the measured data by a least square method.
The resulting functions are given in Eq.4 to 7. . (4) . (5) . (6) . (7) The results of the model are compared with the experimental data in Fig. 5.
Online since: May 2012
Authors: Yan Qin, Zhi Guo Zhao, Chuan Ming Fu, Feng Luan Tang, Yun Ping Shi, Ning Zhen Huang
Data analysis The amplified DNA fragments for each accession were scored as present (1) or absent (0).
So it was reasonable that tissue culture population held 1/5 (RAPDs data) or 1/3 (ISSRs) genetic diversity of the source population.
But based on RAPDs data, tissue culture materials held more genetic diversity than the source population.
Lo declining sharply because this population only contained five different genets (RAPDs and ISSRs data).
Lo because this population contained over 20 different genets (ISSRs data).
Online since: August 2014
Authors: Elena Bunkova, Dmitrii Chechushkov
Estimation of reduction depreciation charges in power network when DG source is connecting Chechushkov Dmitrii1,a, Bunkova Elena1, b 1Ural Federal University, Yekaterinburg, Mira st. 19, Russia a chechushkov@gmail.com, b ea.bunkova@gmail.com, Keywords: distributed generation, depreciation charges, optimization, power supply systems, power transformer.
Introduction It is well known that the connection DG sources affect electricity system through three main components: reduction of the current load of the network elements, reducing the losses of active energy and reducing voltage loss on the network elements [1].
Based on the data calculated by (4), determined the annual reduction of depreciation charges.
Summary In this paper we proposed to allocate cost reductions in depreciation charges when connecting DG source for parallel operation with the network.
Also, reduction of temperature in the hottest point equal the 2%, even at the minimum power DG source from the possible range is used.
Online since: October 2011
Authors: Wei Wang, Ji Liang Zhang, Bao Yin Li
The Voltage and loss reduction capability of nodes are regarded as input indices.
Losses Reduction Capability of Nodes References [9] regard the loss reduction by injection of nodal reactive load current as nodal loss reduction capability.
It can not really reflect nodal loss reduction capability.
So under the assumption of reference [9], this paper regards the maximum loss reduction by injection of nodal reactive current as nodal loss reduction capability.
Assuming that the cost of energy loss is 0.5¥/kWh, planning time span is 10 years, is 10 kvar, capacitor installation charge is 20000¥/Mvar, A single line diagram of this distribution system is shown in Fig. 1 and the line and load data are tabulated in Table 2.
Online since: June 2014
Authors: Yong Zhen Peng, Dong Chen Weng, Xiao Xia Wang, Zhi Jia Miao, Gui Song Xue
P-uptake rates are correlated linearly with nitrite reduction and PHA consumption rates.
Results obtained were divided by VSS to eliminate the effects of biomass concentrations and expressed as to analyses data at a molecular level.
So we put two series of data (pH and as variables, respectively) in the same figure (Fig.3a) to evaluate the correlation between FNA and two reaction rates.
Correlation between FNA and the rates of nitrite reduction (●,) and phosphate uptake (o, ∆) b.
Phosphate uptake rates were correlated linearly with nitrite reduction and PHA consumption rates.
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