The Experts below are selected from a list of 1032 Experts worldwide ranked by ideXlab platform

S. -y. Lee - One of the best experts on this subject based on the ideXlab platform.

  • Decomposition Energy Consumption application
    Energy Economics, 1994
    Co-Authors: B. W. Ang, S. -y. Lee
    Abstract:

    Several methodological and application issues related to the technique of the decomposition of Industrial Energy Consumption are discussed. It is shown that several decomposition methods reported in past studies are special cases of two general parametric methods based on the Divisia index and that the formulation of these methods can be treated in a unified framework. Decomposition, as a result, can be performed in an infinite number of ways for a given set of Energy and production data. Five specific methods are considered, their differences are highlighted, and it is explained how to interpret the results obtained from a specific method. The differences between period wise decomposition and time series decomposition are then discussed. The decomposition results for Singapore and Taiwan are presented throughout to illustrate the issues raised.

  • Decomposition of Industrial Energy Consumption
    Energy Economics, 1994
    Co-Authors: B. W. Ang, S. -y. Lee
    Abstract:

    Several methodological and application issues related to the technique of the decomposition of Industrial Energy Consumption are discussed. It is shown that several decomposition methods reported in past studies are special cases of two general parametric methods based on the Divisia index and that the formulation of these methods can be treated in a unified framework. Decomposition, as a result, can be performed in an infinite number of ways for a given set of Energy and production data. Five specific methods are considered, their differences are highlighted, and it is explained how to interpret the results obtained from a specific method. The differences between periodwise decomposition and time series decomposition are then discussed. The decomposition results for Singapore and Taiwan are presented throughout to illustrate the issues raised.

Se-hark Park - One of the best experts on this subject based on the ideXlab platform.

  • decomposition of Industrial Energy Consumption an alternative method
    Energy Economics, 1992
    Co-Authors: Se-hark Park
    Abstract:

    Abstract The paper develops a logically consistent method for decomposing a change in Industrial Energy Consumption into the effects of three factors – structural change, Energy intensity and output level. Numerical illustration of the method is given using 1973–1989 data for Industrial Energy Consumption in the republic of Korea.

  • Decomposition of Industrial Energy Consumption
    Energy Economics, 1992
    Co-Authors: Se-hark Park
    Abstract:

    The paper develops a logically consistent method for decomposing a change in Industrial Energy Consumption into the effects of three factors – structural change, Energy intensity and output level. Numerical illustration of the method is given using 1973–1989 data for Industrial Energy Consumption in the republic of Korea.

B. W. Ang - One of the best experts on this subject based on the ideXlab platform.

  • Decomposition Energy Consumption application
    Energy Economics, 1994
    Co-Authors: B. W. Ang, S. -y. Lee
    Abstract:

    Several methodological and application issues related to the technique of the decomposition of Industrial Energy Consumption are discussed. It is shown that several decomposition methods reported in past studies are special cases of two general parametric methods based on the Divisia index and that the formulation of these methods can be treated in a unified framework. Decomposition, as a result, can be performed in an infinite number of ways for a given set of Energy and production data. Five specific methods are considered, their differences are highlighted, and it is explained how to interpret the results obtained from a specific method. The differences between period wise decomposition and time series decomposition are then discussed. The decomposition results for Singapore and Taiwan are presented throughout to illustrate the issues raised.

  • Decomposition of Industrial Energy Consumption
    Energy Economics, 1994
    Co-Authors: B. W. Ang, S. -y. Lee
    Abstract:

    Several methodological and application issues related to the technique of the decomposition of Industrial Energy Consumption are discussed. It is shown that several decomposition methods reported in past studies are special cases of two general parametric methods based on the Divisia index and that the formulation of these methods can be treated in a unified framework. Decomposition, as a result, can be performed in an infinite number of ways for a given set of Energy and production data. Five specific methods are considered, their differences are highlighted, and it is explained how to interpret the results obtained from a specific method. The differences between periodwise decomposition and time series decomposition are then discussed. The decomposition results for Singapore and Taiwan are presented throughout to illustrate the issues raised.

Mark D Levine - One of the best experts on this subject based on the ideXlab platform.

  • china s Industrial Energy Consumption trends and impacts of the top 1000 enterprises Energy saving program and the ten key Energy saving projects
    Energy Policy, 2012
    Co-Authors: Jing Ke, Lynn Price, Stephanie Ohshita, David Fridley, Nina Khanna, Nan Zhou, Mark D Levine
    Abstract:

    This study analyzes China's Industrial Energy Consumption trends from 1996 to 2010 with a focus on the impact of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects. From 1996 to 2010, China's Industrial Energy Consumption increased by 134%, even as the Industrial economic Energy intensity decreased by 46%. Decomposition analysis shows that the production effect was the dominant cause of the rapid growth in Industrial Energy Consumption, while the efficiency effect was the major factor slowing the growth of Industrial Energy Consumption. The structural effect had a relatively small and fluctuating influence. Analysis shows the strong association of Industrial Energy Consumption with the growth of China's economy and changing Energy policies. An assessment of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects indicates that the economic Energy intensity of major Energy-intensive Industrial sub-sectors, as well as the physical Energy intensity of major Energy-intensive Industrial products, decreased significantly during China's 11th Five Year Plan (FYP) period (2006–2010). This study also shows the importance and challenge of realizing structural change toward less Energy-intensive activities in China during the 12th FYP period (2011–2015).

Jing Ke - One of the best experts on this subject based on the ideXlab platform.

  • China's Industrial Energy Consumption Trends and Impacts of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects
    2014
    Co-Authors: Jing Ke
    Abstract:

    E RNEST O RLANDO L AWRENCE B ERKELEY N ATIONAL L ABORATORY China’s Industrial Energy Consumption Trends and Impacts of the Top-1000 Enterprises Energy- Saving Program and the Ten Key Energy-Saving Projects Jing Ke, Lynn Price, Stephanie Ohshita, David Fridley, Nina Zheng Khanna, Nan Zhou, Mark Levine China Energy Group Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Reprint version of journal article published in “Energy Policy”, Volume 50, Pages 562-569, November 2012 October 2012 This work was supported by the China Sustainable Energy Program of the Energy Foundation through the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231.

  • china s Industrial Energy Consumption trends and impacts of the top 1000 enterprises Energy saving program and the ten key Energy saving projects
    Energy Policy, 2012
    Co-Authors: Jing Ke, Lynn Price, Stephanie Ohshita, David Fridley, Nina Khanna, Nan Zhou, Mark D Levine
    Abstract:

    This study analyzes China's Industrial Energy Consumption trends from 1996 to 2010 with a focus on the impact of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects. From 1996 to 2010, China's Industrial Energy Consumption increased by 134%, even as the Industrial economic Energy intensity decreased by 46%. Decomposition analysis shows that the production effect was the dominant cause of the rapid growth in Industrial Energy Consumption, while the efficiency effect was the major factor slowing the growth of Industrial Energy Consumption. The structural effect had a relatively small and fluctuating influence. Analysis shows the strong association of Industrial Energy Consumption with the growth of China's economy and changing Energy policies. An assessment of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects indicates that the economic Energy intensity of major Energy-intensive Industrial sub-sectors, as well as the physical Energy intensity of major Energy-intensive Industrial products, decreased significantly during China's 11th Five Year Plan (FYP) period (2006–2010). This study also shows the importance and challenge of realizing structural change toward less Energy-intensive activities in China during the 12th FYP period (2011–2015).