Assessing environmental impacts of a textile company using life cycle assessment approach-a case study.

The textile industry is known for its significant environmental impact, and as such, there is a growing need to assess the industry's production practices. Life cycle assessment (LCA) is an effective tool for measuring the environmental impact of textile products from raw material production to end-of-life disposal. Surat city, known as textile hub of India, has multiple industrial clusters that play host to different elements of the textile value chain. This research aims to evaluate the environmental performance of a Surat-based textile company. The study involves the collection of data from textile manufacturing facilities, including gray cloth production and wet processes (gate-to-gate approach). The data collected has been analyzed using the GABI (9.2.1 version) software. The study provides potential environmental impact data on present textile technology and production situation. Significant hotspots have been determined throughout supply chain and the associated drivers identified. However, the industry's environmental impact can be reduced by practicing ecoefficiency, immaterialization, and recycling textile waste. This research highlights the importance of LCA in identifying the environmental impact of the textile industry and provides a basis for developing sustainable practices to minimize the industry's environmental impact.

Co-digestion of cultivated microalgae and sewage sludge from municipal waste water treatment.

In this study two wet microalgae cultures and one dried microalgae culture were co-digested in different proportions with sewage sludge in mesophilic and thermophilic conditions. The aim was to evaluate if the co-digestion could lead to an increased efficiency of methane production compared to digestion of sewage sludge alone. The results showed that co-digestion with both wet and dried microalgae, in certain proportions, increased the biochemical methane potential (BMP) compared with digestion of sewage sludge alone in mesophilic conditions. The BMP was significantly higher than the calculated BMP in many of the mixtures. This synergetic effect was statistically significant in a mixture containing 63% (w/w VS based) undigested sewage sludge and 37% (w/w VS based) wet algae slurry, which produced 23% more methane than observed with undigested sewage sludge alone. The trend was that thermophilic co-digestion of microalgae and undigested sewage sludge did not give the same synergy.