Processing of household waste in the BTLSS using the wet combustion method
S V Trifonov1, Ye A Morozov1, T A Kozlova1
1Institute of Biophysics, Siberian Branch of Russian Academy of Sciences, 50/50 Akademgorodok, Krasnoyarsk 660036, Russian Federation.
This study explores physicochemical methods for processing organic waste in closed biotechnical life support systems (BTLSS). Wet combustion of cotton waste with human urine and feces proved most efficient for BTLSS applications.
Area of Science:
- Biotechnology
- Environmental Science
- Chemical Engineering
Background:
- Closed biotechnical life support systems (BTLSS) require efficient organic waste processing.
- Physicochemical methods offer potential solutions for waste management in BTLSS.
- Sanitary and household wastes, particularly cotton, pose a processing challenge.
Purpose of the Study:
- To evaluate the efficacy of wet combustion using hydrogen peroxide and an electric field for organic waste processing.
- To determine optimal conditions for waste processing in BTLSS.
- To identify synergistic effects between different waste types.
Main Methods:
- Wet combustion of cotton waste using hydrogen peroxide.
- Application of an alternating current electric field to enhance the oxidation process.
- Testing combinations of cotton waste with urea-containing human waste (urine and feces).
Main Results:
- The highest process efficiency, considering power consumption, duration, and oxidation rate, was observed when processing a mixture of cotton fabrics and urea-containing wastes.
- Urea's role as a reactive aqueous solvent for cellulose was identified as a key factor in enhanced efficiency.
- The described physicochemical method shows promise for BTLSS waste management.
Conclusions:
- Combining cotton waste with urea-rich human waste significantly improves the efficiency of wet combustion processing.
- This method is a promising physicochemical approach for organic waste treatment in closed biotechnical life support systems.
- Further research into urea's solvent properties could optimize BTLSS waste management strategies.
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