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AN ASSESSMENT OF INTEGRATED COTTON TEXTILE MILL FOR THE WATER AND ENERGY FOOTPRINT AND ITS RELATIONSHIP TO SUSTAINABLE DEVELOPMENT GOALS

AKSHAY VADE VADE

DOI: 10.58257/IJPREMS37049
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Abstract

The objective of this study is to investigate and analyze the effect of varying sources of water, energy inputs and their impact on carbon emissions, water footprint during textile processing .The method involved industrial visits to the textile processing mill and interaction with the manufacturing as well as commercial sourcing teams to gather last three calendar year data. The results and outcome of this analysis indicate that textile wet processing is responsible for a significant carbon emission of about 21.24 kgCO2eunit of production. Purchase electricity as a source of energy has the highest carbon emission 0.112 kgCO2eproduct, while the use of biomass and Diesel (PNG) had significantly lower CO2 emissions. Further, this study evaluated the scope 1 and scope 2 category emissions produced at the textile processing stage which accounted 59580000 kgco2e. Customization in application of dyes and colorants using industry 4.0 techniques like digital printing, digital finishing can further reduce use of resources, water and energy. Designing waterless processes should be the main focus for optimization in energy. Energy consumption is in proportion to the volumes of water required in processing baths. Renewable fuel sources like biomass occupy more space. Processors are somewhat reluctant to adapting to these changes and added production costs. Synchronized efforts from all the stake holder involved in the textile value chain is required to address the sustainability challenges in wet processing of textiles. In this case study addresses five sustainable development goals (SDG) out of seventeen; 6-Clean water and sanitation, 7-Affordable and clean energy; 12-Responsible production and consumption; 13-Climate action; and 15-Life on land.

Copyright

Copyright © 2024 AKSHAY VADE. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS41100052311
ISSN: 2321-9653
Publisher: ijprems
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