The Experts below are selected from a list of 177 Experts worldwide ranked by ideXlab platform

Shijin Shuai - One of the best experts on this subject based on the ideXlab platform.

  • study on combustion and emission characteristics of polyoxymethylene dimethyl ethers diesel blends in light duty and heavy duty diesel engines
    Applied Energy, 2017
    Co-Authors: Zhi Wang, Jianxin Wang, Jun Zhang, Shijin Shuai
    Abstract:

    Diesel and Polyoxymethylene Dimethyl Ethers (PODE3–4)/diesel blends with 10–30% PODE3–4 by volume were tested in a light-duty (LD) direct injection diesel engine without any modifications on the engine fuel supply system. Engine performance, combustion and emission characteristics were compared at various loads. The results show that diesel engines are able to work normally fueled by blend fuel ratio with lower than 30% PODE3–4. Adding PODE3–4 improve engine efficiency and reduce soot and CO emissions significantly without a serious impact on NOx emissions. P20 is the optimal choice among these blends because it has much lower soot emissions than diesel and P10 and slightly lower NOx emissions than P30. The European Stationary Cycle (ESC) was also carried out in a six-cylinder heavy-duty (HD) production diesel engine fueled with pure diesel and P20, and the results were similar to those of the LD engine. It is proved that PODE3–4, of which the mass production has been achieved recently, is a promising Additive Component for diesel fuel.

  • study on combustion and emission characteristics of polyoxymethylene dimethyl ethers diesel blends in light duty and heavy duty diesel engines
    Applied Energy, 2017
    Co-Authors: Haoye Liu, Jianxin Wang, Zhi Wang, Jun Zhang, Shijin Shuai
    Abstract:

    Diesel and Polyoxymethylene Dimethyl Ethers (PODE3–4)/diesel blends with 10–30% PODE3–4 by volume were tested in a light-duty (LD) direct injection diesel engine without any modifications on the engine fuel supply system. Engine performance, combustion and emission characteristics were compared at various loads. The results show that diesel engines are able to work normally fueled by blend fuel ratio with lower than 30% PODE3–4. Adding PODE3–4 improve engine efficiency and reduce soot and CO emissions significantly without a serious impact on NOx emissions. P20 is the optimal choice among these blends because it has much lower soot emissions than diesel and P10 and slightly lower NOx emissions than P30. The European Stationary Cycle (ESC) was also carried out in a six-cylinder heavy-duty (HD) production diesel engine fueled with pure diesel and P20, and the results were similar to those of the LD engine. It is proved that PODE3–4, of which the mass production has been achieved recently, is a promising Additive Component for diesel fuel.

Zhi Wang - One of the best experts on this subject based on the ideXlab platform.

  • study on combustion and emission characteristics of polyoxymethylene dimethyl ethers diesel blends in light duty and heavy duty diesel engines
    Applied Energy, 2017
    Co-Authors: Zhi Wang, Jianxin Wang, Jun Zhang, Shijin Shuai
    Abstract:

    Diesel and Polyoxymethylene Dimethyl Ethers (PODE3–4)/diesel blends with 10–30% PODE3–4 by volume were tested in a light-duty (LD) direct injection diesel engine without any modifications on the engine fuel supply system. Engine performance, combustion and emission characteristics were compared at various loads. The results show that diesel engines are able to work normally fueled by blend fuel ratio with lower than 30% PODE3–4. Adding PODE3–4 improve engine efficiency and reduce soot and CO emissions significantly without a serious impact on NOx emissions. P20 is the optimal choice among these blends because it has much lower soot emissions than diesel and P10 and slightly lower NOx emissions than P30. The European Stationary Cycle (ESC) was also carried out in a six-cylinder heavy-duty (HD) production diesel engine fueled with pure diesel and P20, and the results were similar to those of the LD engine. It is proved that PODE3–4, of which the mass production has been achieved recently, is a promising Additive Component for diesel fuel.

  • study on combustion and emission characteristics of polyoxymethylene dimethyl ethers diesel blends in light duty and heavy duty diesel engines
    Applied Energy, 2017
    Co-Authors: Haoye Liu, Jianxin Wang, Zhi Wang, Jun Zhang, Shijin Shuai
    Abstract:

    Diesel and Polyoxymethylene Dimethyl Ethers (PODE3–4)/diesel blends with 10–30% PODE3–4 by volume were tested in a light-duty (LD) direct injection diesel engine without any modifications on the engine fuel supply system. Engine performance, combustion and emission characteristics were compared at various loads. The results show that diesel engines are able to work normally fueled by blend fuel ratio with lower than 30% PODE3–4. Adding PODE3–4 improve engine efficiency and reduce soot and CO emissions significantly without a serious impact on NOx emissions. P20 is the optimal choice among these blends because it has much lower soot emissions than diesel and P10 and slightly lower NOx emissions than P30. The European Stationary Cycle (ESC) was also carried out in a six-cylinder heavy-duty (HD) production diesel engine fueled with pure diesel and P20, and the results were similar to those of the LD engine. It is proved that PODE3–4, of which the mass production has been achieved recently, is a promising Additive Component for diesel fuel.

Jianxin Wang - One of the best experts on this subject based on the ideXlab platform.

  • study on combustion and emission characteristics of polyoxymethylene dimethyl ethers diesel blends in light duty and heavy duty diesel engines
    Applied Energy, 2017
    Co-Authors: Zhi Wang, Jianxin Wang, Jun Zhang, Shijin Shuai
    Abstract:

    Diesel and Polyoxymethylene Dimethyl Ethers (PODE3–4)/diesel blends with 10–30% PODE3–4 by volume were tested in a light-duty (LD) direct injection diesel engine without any modifications on the engine fuel supply system. Engine performance, combustion and emission characteristics were compared at various loads. The results show that diesel engines are able to work normally fueled by blend fuel ratio with lower than 30% PODE3–4. Adding PODE3–4 improve engine efficiency and reduce soot and CO emissions significantly without a serious impact on NOx emissions. P20 is the optimal choice among these blends because it has much lower soot emissions than diesel and P10 and slightly lower NOx emissions than P30. The European Stationary Cycle (ESC) was also carried out in a six-cylinder heavy-duty (HD) production diesel engine fueled with pure diesel and P20, and the results were similar to those of the LD engine. It is proved that PODE3–4, of which the mass production has been achieved recently, is a promising Additive Component for diesel fuel.

  • study on combustion and emission characteristics of polyoxymethylene dimethyl ethers diesel blends in light duty and heavy duty diesel engines
    Applied Energy, 2017
    Co-Authors: Haoye Liu, Jianxin Wang, Zhi Wang, Jun Zhang, Shijin Shuai
    Abstract:

    Diesel and Polyoxymethylene Dimethyl Ethers (PODE3–4)/diesel blends with 10–30% PODE3–4 by volume were tested in a light-duty (LD) direct injection diesel engine without any modifications on the engine fuel supply system. Engine performance, combustion and emission characteristics were compared at various loads. The results show that diesel engines are able to work normally fueled by blend fuel ratio with lower than 30% PODE3–4. Adding PODE3–4 improve engine efficiency and reduce soot and CO emissions significantly without a serious impact on NOx emissions. P20 is the optimal choice among these blends because it has much lower soot emissions than diesel and P10 and slightly lower NOx emissions than P30. The European Stationary Cycle (ESC) was also carried out in a six-cylinder heavy-duty (HD) production diesel engine fueled with pure diesel and P20, and the results were similar to those of the LD engine. It is proved that PODE3–4, of which the mass production has been achieved recently, is a promising Additive Component for diesel fuel.

Jun Zhang - One of the best experts on this subject based on the ideXlab platform.

  • study on combustion and emission characteristics of polyoxymethylene dimethyl ethers diesel blends in light duty and heavy duty diesel engines
    Applied Energy, 2017
    Co-Authors: Zhi Wang, Jianxin Wang, Jun Zhang, Shijin Shuai
    Abstract:

    Diesel and Polyoxymethylene Dimethyl Ethers (PODE3–4)/diesel blends with 10–30% PODE3–4 by volume were tested in a light-duty (LD) direct injection diesel engine without any modifications on the engine fuel supply system. Engine performance, combustion and emission characteristics were compared at various loads. The results show that diesel engines are able to work normally fueled by blend fuel ratio with lower than 30% PODE3–4. Adding PODE3–4 improve engine efficiency and reduce soot and CO emissions significantly without a serious impact on NOx emissions. P20 is the optimal choice among these blends because it has much lower soot emissions than diesel and P10 and slightly lower NOx emissions than P30. The European Stationary Cycle (ESC) was also carried out in a six-cylinder heavy-duty (HD) production diesel engine fueled with pure diesel and P20, and the results were similar to those of the LD engine. It is proved that PODE3–4, of which the mass production has been achieved recently, is a promising Additive Component for diesel fuel.

  • study on combustion and emission characteristics of polyoxymethylene dimethyl ethers diesel blends in light duty and heavy duty diesel engines
    Applied Energy, 2017
    Co-Authors: Haoye Liu, Jianxin Wang, Zhi Wang, Jun Zhang, Shijin Shuai
    Abstract:

    Diesel and Polyoxymethylene Dimethyl Ethers (PODE3–4)/diesel blends with 10–30% PODE3–4 by volume were tested in a light-duty (LD) direct injection diesel engine without any modifications on the engine fuel supply system. Engine performance, combustion and emission characteristics were compared at various loads. The results show that diesel engines are able to work normally fueled by blend fuel ratio with lower than 30% PODE3–4. Adding PODE3–4 improve engine efficiency and reduce soot and CO emissions significantly without a serious impact on NOx emissions. P20 is the optimal choice among these blends because it has much lower soot emissions than diesel and P10 and slightly lower NOx emissions than P30. The European Stationary Cycle (ESC) was also carried out in a six-cylinder heavy-duty (HD) production diesel engine fueled with pure diesel and P20, and the results were similar to those of the LD engine. It is proved that PODE3–4, of which the mass production has been achieved recently, is a promising Additive Component for diesel fuel.

Stephen J Sharp - One of the best experts on this subject based on the ideXlab platform.

  • explaining heterogeneity in meta analysis a comparison of methods
    Statistics in Medicine, 1999
    Co-Authors: Simon G Thompson, Stephen J Sharp
    Abstract:

    Exploring the possible reasons for heterogeneity between studies is an important aspect of conducting a meta-analysis. This paper compares a number of methods which can be used to investigate whether a particular covariate, with a value defined for each study in the meta-analysis, explains any heterogeneity. The main example is from a meta-analysis of randomized trials of serum cholesterol reduction, in which the log-odds ratio for coronary events is related to the average extent of cholesterol reduction achieved in each trial. Different forms of weighted normal errors regression and random effects logistic regression are compared. These analyses quantify the extent to which heterogeneity is explained, as well as the effect of cholesterol reduction on the risk of coronary events. In a second example, the relationship between treatment effect estimates and their precision is examined, in order to assess the evidence for publication bias. We conclude that methods which allow for an Additive Component of residual heterogeneity should be used. In weighted regression, a restricted maximum likelihood estimator is appropriate, although a number of other estimators are also available. Methods which use the original form of the data explicitly, for example the binomial model for observed proportions rather than assuming normality of the log-odds ratios, are now computationally feasible. Although such methods are preferable in principle, they often give similar results in practice. Copyright © 1999 John Wiley & Sons, Ltd.

  • explaining heterogeneity in meta analysis a comparison of methods
    Statistics in Medicine, 1999
    Co-Authors: Simon G Thompson, Stephen J Sharp
    Abstract:

    Exploring the possible reasons for heterogeneity between studies is an important aspect of conducting a meta-analysis. This paper compares a number of methods which can be used to investigate whether a particular covariate, with a value defined for each study in the meta-analysis, explains any heterogeneity. The main example is from a meta-analysis of randomized trials of serum cholesterol reduction, in which the log-odds ratio for coronary events is related to the average extent of cholesterol reduction achieved in each trial. Different forms of weighted normal errors regression and random effects logistic regression are compared. These analyses quantify the extent to which heterogeneity is explained, as well as the effect of cholesterol reduction on the risk of coronary events. In a second example, the relationship between treatment effect estimates and their precision is examined, in order to assess the evidence for publication bias. We conclude that methods which allow for an Additive Component of residual heterogeneity should be used. In weighted regression, a restricted maximum likelihood estimator is appropriate, although a number of other estimators are also available. Methods which use the original form of the data explicitly, for example the binomial model for observed proportions rather than assuming normality of the log-odds ratios, are now computationally feasible. Although such methods are preferable in principle, they often give similar results in practice.