Assessment of clean production approaches in the textile sector through indoor environmental quality and lighting systems

In industrial enterprises, production processes primarily focus on product quality, productivity, and quantity. Although employees in production environments may be driven by different motivational factors, an important issue that should be considered in terms of operational efficiency is the evaluation of the indoor environmental quality of the production areas from the perspective of the workers. Indoor environmental conditions are assessed based on parameters such as indoor air quality, noise pollution, and lighting efficiency. In the literature, various studies have examined these parameters individually for different industrial firms. However, studies that investigate indoor environmental conditions in a holistic manner appear to be limited. In this thesis study, the indoor air quality of a textile manufacturing company was assessed using CO₂ concentration as the key parameter, indoor noise pollution was measured in decibels (dB), and indoor lighting efficiency was evaluated in lux (lx). In addition, mapping of these parameters within the production area was performed using Python software. The obtained data were then evaluated according to national regulations published in Türkiye and minimum international standards. The production area of the studied firm was divided into ten zones. It was determined that the zones with the highest concentrations of CO₂, noise pollution, and lighting levels were the sewing workshop and cafeteria. However, no negative conditions were identified in these areas with respect to the relevant regulations and general minimum standards. Specifically, regarding the assessment of lighting efficiency, the theoretical amount of energy that could be generated by installing solar panels—a renewable energy source—on the company's roof was calculated, and its potential contribution to lighting efficiency was proposed as a clean production strategy, contributing to environmental sustainability. Moreover, a dedicated software tool was developed to facilitate the easy determination of lighting efficiency within industrial facilities.