Improvement of energy recovery potential of wet-refuse-derived fuel through bio-drying process

Bhatsada, Abhisit; Patumsawad, Suthum; Itsarathorn, Tanik; Towprayoon, Sirintornthep; Chiemchaisri, Chart; Phongphiphat, Awassada; Wangyao, Komsilp

doi:10.1007/s10163-022-01545-z

Cited by 8 publications

(2 citation statements)

References 21 publications

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“…Various studies on these factors have been performed using a range of different conditions and experimental setups, including assessments using the BI. Bhatsada et al (2023) performed a biodrying experiment using wet RDF as feedstock and reported BI values of 0.209-1.256, which are close to the values of the present study. found that the optimum rate between water loss and carbon loss in MSW biodrying affect the system's efficiency and quality of the product.…”

Section: Biodrying Indexsupporting

confidence: 89%

“…The temperature continued to from the beginning and peaked within the first 12 hours of operation. However, Bhatsada et al (2023) conducted a biodrying process using wet RDF as a feedstock and presented similar results: the temperature increased rapidly during the first two days, and the peak temperature and CO2 concentrations were recorded on day 3 to day 5 of the study. The maximum recorded temperature was around 60 ºC.…”

Section: Temperature Profile and Gas Formationmentioning

confidence: 68%

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The effect of aeration rate and feedstock density on biodrying performance for wet refuse-derived fuel quality improvement

Itsarathorn,

Towprayoon,

Chiemchaisri

et al. 2023

Int. J. Renew. Energy Dev.

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This study investigates the effect of aeration rate and feedstock density on the biodrying process to improve the quality of type 2 wet refuse-derived fuel. The aeration rate and feedstock density were varied to investigate these parameters’ effect on the system’s performance. The experiments used 0.3 m3 lysimeters with continuous negative ventilation and five days of operation. In Experiment A, aeration rates of 0.4, 0.5, and 0.6 m3/kg/day were tested with a feedstock bulk density of 232 kg/m3. In Experiment B, the optimum aeration rates determined in Experiment A (0.5 and 0.6 m3/kg/day) were used, and the feedstock density was varied (232 kg/m3, 250 kg/m3, and 270 kg/m3). The results showed that an aeration rate of 0.5 m3/kg/day was the most efficient for a feedstock density of 232 kg/m3; when the aeration rate was increased to 0.6 m3/kg/day, a feedstock density of 250 kg/m3 was the most effective. However, a feedstock density of 270 kg/m3 was not found to be practical for use in the quality improvement system. When the feedstock density is increased, the water in the feedstock and the water resulting from the biodegradation process cannot evaporate due to the feedstock layer’s low porosity, and the system requires an increased aeration rate. Furthermore, the increase in density scaled with increased initial volatile solid content, initial organic content, and initial moisture content, which significantly impacted the final moisture content based on multivariate regression analysis.

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Section: Biodrying Indexsupporting

confidence: 89%

Section: Temperature Profile and Gas Formationmentioning

confidence: 68%