The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform
Long Enshen - One of the best experts on this subject based on the ideXlab platform.
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are the Relative Variation rates rvrs approximate in different cities with the same increase of shape coefficient
Building and Environment, 2005Co-Authors: Long EnshenAbstract:The influence of the building's shape coefficient on annual heating and cooling energy consumption is significant, therefore, when laying down design standard for building efficiency, each country makes specific limitations to building shape coefficient. This paper takes two types of buildings with great difference of shape coefficient as the study objects and studies the influence rule of the same increase of shape coefficient on the annual cooling and heating energy consumption and its Relative Variation rates (RVRs) of the two buildings with the same envelope under 14 cities' climatic conditions in China, America and Europe respectively by DOE-2, DeST-h and CTM. It can be found that though the absolute increments of annual cooling and heating needs are obviously different in various cities with the same increase of shape coefficient, the annual Relative Variation rates (RVRs) of cooling and heating need are approximate in different cities.
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Are the annual Relative Variation rates of energy consumption approximate in different cities with the same shading coefficient
Building and Environment, 2005Co-Authors: Long EnshenAbstract:Abstract This paper studies two buildings located in 10 background cities of China and USA with tools of DOE-2 and characteristic temperature method (CTM), respectively. The aim here is to find the Variation laws of annual heating and cooling energy consumptions and their Relative Variation rates (RVRs) with the decrease of sun-shading coefficient. By exploration, we can find that when sun-shading coefficient declines, the prediction of CTM on the annual heating and cooling energy consumptions and their RVRs is the same with that of DOE-2 in tendency while the prediction of CTM on annual heating energy consumption and its RVRs is quite different from that of DOE-2 quantitatively. By further study, we can also find that for the same building with the same sun-shading coefficient, the annual RVRs of heating needs are close and those of cooling needs are also close in cities with various meteorological conditions. The annual RVRs of heating and cooling energy consumption are dependent on sun-shading coefficient. When sun-shading coefficient is bigger, the annual RVRs of heating energy consumption are higher in every city while those of cooling needs are lower. On the other hand, when sun-shading coefficient is smaller, the annual RVRs of cooling needs in each city significantly increase while those of heating needs decrease mildly, thus the gap between them is enlarged.
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Identifications: the Relative Variation rates (RVRs) of cooling and heating are approximately the same in different cities with the same increase of shape coefficients
Building and Environment, 2005Co-Authors: Long EnshenAbstract:Among 14 background cities, Boulder of America and Shanghai of China which differ in climatic conditions are selected for comparison. Taking the building with traditional envelope when the ventilation rate is 0 as an example, this paper studies the Variation laws of hourly, daily and monthly Relative Variation rates (RVRs) with the same increase of shape coefficient in the two cities. By comparisons, we find that though there exists significant difference in annual heating and cooling hours, days and months between Boulder and Shanghai, the distribution laws of hourly, daily and monthly RVRs are very similar and their Variation ranges are also approximately the same in the two cities. This similarity in hourly, daily and monthly distribution determines the inevitable approximate equality of the annual heating and cooling RVRs in different cities and thus the proposition is right in a wide range.
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Are the Relative Variation rates (RVRs) approximate in different cities when the same energy-efficiency reform is taken to the same building?
Building and Environment, 2005Co-Authors: Long Enshen, Wang YongAbstract:On the assumption that the same envelope reform is made on two buildings located in 19 cities of China, America and Europe, this paper simulates the annual heating and cooling energy consumption before and after the reform with tools of DOE-2, DeST-h and the authors' characteristic temperature method (CTM), and makes further analysis on the Relative Variation rates (RVRs) of energy consumption. It can be found that the absolute reductions of annual heating and cooling needs may differ up to tens of times in different cities for the same buildings with the same energy-efficient measures. On the other hand, there is no obvious difference in initial investment for the same energy-efficient reform in various cities of a country or an economic district, therefore, the energy efficiency potentiality and economic value of the same reform are completely different under various climatic conditions, which illustrates that it is very important to harmonize the local climates when selecting an energy-efficient project in different locations. However, when the same measures are taken to the same building, the annual heating RVRs are approximate and the annual cooling RVRs are also approximate in different cities, which is the common rule of building energy efficiency.
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Hourly classified identifications: the annual Relative Variation rates (RVRs) are approximate in different cities for the same building with the same shading coefficient
Building and Environment, 2005Co-Authors: Long Enshen, Zang ZixuanAbstract:By comparative research on the Variation law of the annual Relative Variation rates (RVRs) of the hourly heating and cooling load with shading coefficient in all the hours, respectively, without and with solar radiation in two cities (Tampa of USA, Fuzhou of China), we can find that: for the hours without solar radiation, the heating and cooling load and its RVRs unchange with sun-shading coefficient while for the hours with solar radiation, shading coefficient has a significant influence on the heating and cooling load and its RVRs. By contrast, it can be found: both the hours in need of heating and cooling around the year (respectively, for the hours with and without solar radiation) and the hourly distribution of annual heating and cooling load are quite different in the two cities; Besides, the difference of hourly heating and cooling load probably amounts to more than 1000 times. However, with the same shading coefficient, the distributions of heating and cooling RVRs in each hour with solar radiation are very similar in the two cities. The author reveals the similarity of the Variation law of the hourly load and just the intrinsic similarity determines that it is inevitable that the annual RVRs of energy consumption are approximate under different climatic conditions (cities) when taking the same shading measures to the same building.
Srawut Kleesuwan - One of the best experts on this subject based on the ideXlab platform.
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Low-cost condition monitoring sensor for used oil analysis
Wear, 2005Co-Authors: Surapol Raadnui, Srawut KleesuwanAbstract:The development of a low cost condition monitoring sensor for used oil is described. The sensor is designed as a direct measurement of the overall quality of the used oil as compare to that of the un-used oil. The system detects the Relative Variation of lubricant degradation i.e. degradation of physical/chemical properties, suspended wear particles and ingested contaminants, by using the grid capacitance sensor configuration. The system consists of grid sensing unit and a multitude of small holes (1 mm in diameter) between each parallel sensing grids. The system works on a principle of measuring for the Relative Variation of the dielectric constant of lubricant caused by contaminants such as water, fuel dilution, water, wear debris, etc. In this particular paper, the performance of this specific sensor is assessed systematically through the utilization of statistical design of experiments (DOE).
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Low-cost condition monitoring sensor for used oil analysis
Wear, 2005Co-Authors: Surapol Raadnui, Srawut KleesuwanAbstract:The development of a low cost condition monitoring sensor for used oil is described. The sensor is designed as a direct measurement of the overall quality of the used oil as compare to that of the un-used oil. The system detects the Relative Variation of lubricant degradation i.e. degradation of physical/chemical properties, suspended wear particles and ingested contaminants, by using the grid capacitance sensor configuration. The system consists of grid sensing unit and a multitude of small holes (1 mm in diameter) between each parallel sensing grids. The system works on a principle of measuring for the Relative Variation of the dielectric constant of lubricant caused by contaminants such as water, fuel dilution, water, wear debris, etc. In this particular paper, the performance of this specific sensor is assessed systematically through the utilization of statistical design of experiments (DOE). © 2005 Published by Elsevier B.V.
Surapol Raadnui - One of the best experts on this subject based on the ideXlab platform.
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Low-cost condition monitoring sensor for used oil analysis
Wear, 2005Co-Authors: Surapol Raadnui, Srawut KleesuwanAbstract:The development of a low cost condition monitoring sensor for used oil is described. The sensor is designed as a direct measurement of the overall quality of the used oil as compare to that of the un-used oil. The system detects the Relative Variation of lubricant degradation i.e. degradation of physical/chemical properties, suspended wear particles and ingested contaminants, by using the grid capacitance sensor configuration. The system consists of grid sensing unit and a multitude of small holes (1 mm in diameter) between each parallel sensing grids. The system works on a principle of measuring for the Relative Variation of the dielectric constant of lubricant caused by contaminants such as water, fuel dilution, water, wear debris, etc. In this particular paper, the performance of this specific sensor is assessed systematically through the utilization of statistical design of experiments (DOE).
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Low-cost condition monitoring sensor for used oil analysis
Wear, 2005Co-Authors: Surapol Raadnui, Srawut KleesuwanAbstract:The development of a low cost condition monitoring sensor for used oil is described. The sensor is designed as a direct measurement of the overall quality of the used oil as compare to that of the un-used oil. The system detects the Relative Variation of lubricant degradation i.e. degradation of physical/chemical properties, suspended wear particles and ingested contaminants, by using the grid capacitance sensor configuration. The system consists of grid sensing unit and a multitude of small holes (1 mm in diameter) between each parallel sensing grids. The system works on a principle of measuring for the Relative Variation of the dielectric constant of lubricant caused by contaminants such as water, fuel dilution, water, wear debris, etc. In this particular paper, the performance of this specific sensor is assessed systematically through the utilization of statistical design of experiments (DOE). © 2005 Published by Elsevier B.V.
Kompal Sinha - One of the best experts on this subject based on the ideXlab platform.
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the effect of introducing a minimum price on the distribution of alcohol purchase a counterfactual analysis
Health Economics, 2016Co-Authors: Anurag Sharma, Fabrice Etile, Kompal SinhaAbstract:Summary We use counterfactual analysis techniques to evaluate the impact of a $2 minimum unit price (MUP) on the distribution of Australian (Victorian) household off-trade alcohol purchases. Our estimates suggest that a $2 MUP significantly reduces the purchases of at-risk households by up to −0.92 [90% CI: −1.55, −0.28] standard drinks at the highest quantiles and has substantially less effect on households purchasing at light and moderate levels. A $2 MUP may reduce the proportions of male and female shoppers purchasing at the public health threshold of more than two standard drinks per household member per day by −3.03 [90% CI: −4.83, −1.22] percentage points (Relative Variation: −17%); and −1.85 [90% CI: −2.60, −1.10] percentage points (Relative Variation:−22%), respectively. Implementing an MUP on alcohol thus promises significant positive impacts on public health. Copyright © 2016 John Wiley & Sons, Ltd.
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the effect of introducing a minimum price on the distribution of alcohol purchase a counterfactual analysis
PSE - Labex "OSE-Ouvrir la Science Economique", 2016Co-Authors: Anurag Sharma, Fabrice Etile, Kompal SinhaAbstract:We use counterfactual analysis techniques to evaluate the impact of a $2 minimum unit price (MUP) on the distribution of Australian (Victorian) household off-trade alcohol purchases. Our estimates suggest that a $2 MUP significantly reduces the purchases of at-risk households by up to −0.92 [90% CI: −1.55, −0.28] standard drinks at the highest quantiles and has substantially less effect on households purchasing at light and moderate levels. A $2 MUP may reduce the proportions of male and female shoppers purchasing at the public health threshold of more than two standard drinks per household member per day by −3.03 [90% CI: −4.83, −1.22] percentage points (Relative Variation: −17%); and −1.85 [90% CI: −2.60, −1.10] percentage points (Relative Variation:−22%), respectively. Implementing an MUP on alcohol thus promises significant positive impacts on public health.
Isabelle Dufour - One of the best experts on this subject based on the ideXlab platform.
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Modeling and performance of uncoated microcantilever-based chemical sensors
Sensors and Actuators B: Chemical, 2010Co-Authors: Sébastien Tétin, Claude Pellet, Claude Lucat, Francis Menil, Hélène Debéda, Benjamin Caillard, Isabelle DufourAbstract:Chemical sensors based on vibrating silicon microcantilevers without sensitive coating are investigated herein. The sensor signal is the Relative Variation of the microcantilever resonant frequency which depends on both the viscosity and the density of the fluid surrounding the microcantilever. This principle has been applied to the detection of binary gas mixtures. Experimental data for He/N2 and CO2/N2 environments are presented and compared to results of theoretical modeling. The advantages of such a gas sensor based on changes of physical properties are discussed (response time, sensitivity, selectivity, stability). © 2009 Elsevier B.V. All rights reserved.
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Chemical sensing using microcantilever without sensitive coating
2009 IEEE International Frequency Control Symposium Joint with the 22nd European Frequency and Time forum, 2009Co-Authors: Sébastien Tétin, Claude Pellet, Claude Lucat, Francis Menil, Hélène Debéda, Benjamin Caillard, Isabelle DufourAbstract:Chemical sensors based on vibrating silicon microcantilevers without sensitive coating are investigated herein. The sensor signal is the Relative Variation of the microcantilever resonant frequency which depends on both the viscosity and the density of the fluid surrounding the microcantilever. This principle has been applied to the detection of binary gas mixtures. Experimental data for He/N2 and CO2/N2 environments are presented and compared to results of theoretical modeling. The advantages of such a gas sensor based on changes of physical properties are discussed.
