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Abstract

The purpose of this article is to develop a framework of a tool for supporting the rapid Cleaner production assessment (CPA) coupling to Energy savings (ES) for the industries. On the basis of the integration of the methods such as Best available techniques (BAT), analysis of technology scheme, material and energy balances etc, this study develops a framework of a tool for rapid assessment comprising of 3 modules: “Input of data”, “Material and energy balances” and “Assessment of potentials for cleaner production and energy savings”. In a case study, a rapid assessment tool for Cleaner production coupling to Energy savings is developed for the metal production industry. The results obtained from the case study shows that the data from material and energy balances are presented fully in the illustrated technology process, and the objects subjected to improvement are identified. There are 150 objects and/or positions needing improvement in which 16 are involved with thermal processess, and the rest are for the electrical motors. The solution for each of these objects is also recomended. The disadvantages of this tool is it is unable to assess the investment cost as well as the return rate of the solutions that could be good points for the further research.



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Article Details

Issue: Vol 1 No M1 (2017)
Page No.: 35-44
Published: Jun 30, 2017
Section: Original Research
DOI: https://doi.org/10.32508/stdjsee.v1iM1.432

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Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Nguyen, T., Le, V., Tran, T., Tran, H., & Le, H. (2017). Development of tool framework for rapid cleaner production assessment (CPA) coupling to energy savings: a case study of metal production industry. Science & Technology Development Journal: Science of the Earth & Environment, 1(M1), 35-44. https://doi.org/https://doi.org/10.32508/stdjsee.v1iM1.432

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