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Published on: April 26, 2024
Co-composting kinetics of rose processing waste with OFMSW
I Tosun1, M T Gönüllü, E Arslankaya
1Department of Environmental Engineering, Faculty of Engineering and Architecture, Suleyman Demirel University, Cunur, 32260 Isparta, Turkey. ismailt@mmf.sdu.edu.tr
This study analyzed the co-composting of rose processing waste (RPW) and municipal solid waste (OFMSW). The first-first-order kinetic model best described the decomposition process, offering insights into organic waste management.
Area of Science:
- Environmental Science
- Waste Management
- Biotechnology
Background:
- Co-composting of diverse organic wastes is crucial for sustainable waste management.
- Rose processing waste (RPW) and the organic fraction of municipal solid waste (OFMSW) present unique decomposition characteristics.
- Understanding composting kinetics is key to optimizing treatment efficiency and predicting outcomes.
Purpose of the Study:
- To evaluate the decomposition kinetics during the co-composting of RPW and OFMSW.
- To compare the applicability of various kinetic models to this specific waste mixture.
- To identify the most suitable kinetic model for describing the composting process.
Main Methods:
- Utilized 65-L batch reactors to conduct co-composting experiments with varying ratios of RPW and OFMSW.
- Monitored key parameters: carbon dioxide (CO2) evolution and internal temperature over time.
- Applied kinetic models (first-zero-order, first-first-order, Chen and Hashimoto's, Levi-Minzi's) and non-linear regression for data analysis.
Main Results:
- The decomposition process was assessed by analyzing rapidly and slowly biodegradable organic matter fractions.
- Kinetic parameters and rate constants were determined using average relative errors and coefficient of determination.
- The first-first-order kinetic model demonstrated the best fit for the experimental data.
Conclusions:
- The first-first-order model accurately predicts the decomposition kinetics of RPW and OFMSW co-composting.
- This finding aids in optimizing the co-composting process for improved organic waste treatment.
- Provides a valuable kinetic framework for future research in waste valorization.
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