MAnufacturing STructure and Energy Research Tool

(MASTER)

MASTER tool is designed to help the users to understand how different factors (production growth, industry structural change, and energy intensity change) influence industrial energy use trends over time. It helps to quantitatively compare the level of structural change (i.e. the change in share of value added share of manufacturing subsectors) in the past and in the years to come, so that if needed the policy makers can adjust their policies to move towards the target of less energy-intensive industries. Different scenarios can be developed using this tool to shows the structural change achieved through different paths and helps to understand the consequences of supporting or limiting the growth of certain manufacturing subsectors from the point of view of energy use and structural change.

Based on the energy use and value added data input by the user, the MASTER tool conduct the decomposition analysis for different time periods in the past or in the future chosen by the user. The decomposition analysis results can also be viewed by industrial subsectors. The tool also presents the energy use, value added, and energy intensity trends in graphical form.

Applicability

MASTER tool can be used by the local and national government as well as academia and other organizations to analyze the past and future energy trends of industry sector in a given region or country. It can help to quantify the structural change in the industry during the study period and how it affects the industry energy use.

Acknowledgement

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. We also like to thank Ruosida Lin for her contribution to the development of this tool and the Excel Macro programming.

For any question or comments, please contact tool developers:

Ali Hasanbeigi, Ph.D.
AHasanbeigi@lbl.gov
+1 510 495 2479

Lynn Price
LKPrice@lbl.gov
+1 510 486 6519

Purpose: 

Help quantify the structural change in the industry during the study period and how it affects the industry energy use.

Audience: 
Local and national government officials, academics, and researchers.
Languages: 
English
Chinese

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