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Development of tool framework for rapid cleaner production assessment (CPA) coupling to energy savings: a case study of metal production industry

Thao Thi Phuong Nguyen 1, *
Vi Quoc Le 1
Thanh Van Tran 1
Hieu Thi Tran 1
Hai Thanh Le 1
  1. Insitute For Environment And Resource, VNU-HCMC
Correspondence to: Thao Thi Phuong Nguyen, Insitute For Environment And Resource, VNU-HCMC. Email: [email protected].
Volume & Issue: Vol. 1 No. M1 (2017) | Page No.: 35-44 | DOI: 10.32508/stdjsee.v1iM1.432
Published: 2017-06-30

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This article is published with open access by Viet Nam National University Ho Chi Minh City, Viet Nam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

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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