Abstract:As dewatered sludge is highly viscous and sticky, the combination of foaming pretreatment and drying process seems to be an alternative method to improve the drying performance of dewatered sludge. In this study, CaO addition followed by mechanical whipping was employed for foaming the dewatered sludge. It was found that the foams were stable and the diameters of bubbles mainly ranged from 0.1 to 0.3 mm. The drying experiments were carried out in a drying oven in the convective mode. The results indicated that… Show more
“…The results show that the Midilli‐Kucuk model was the most reliable for describing the evolution of the reduced moisture content as a function of time in winter and summer seasons with R 2 equal to 0.99886 and 0.99998 and χ2 equal to 1.48 10 −4 and 6.41 10 −6 , respectively. This result agrees with the experimental drying results of sludge using an indirect solar dryer, 13 of mint, 43 apple, 46 thyme treated with distilled water, 47 and laurel noble. 48 However, for different drying conditions, the Wang and Singh model was the least suitable.…”
Section: Resultssupporting
confidence: 90%
“…The curve proposed by Krischer and Kast 42 (−dX/dt) as a function of X is divided into three phases: product warm‐up phase (Phase 0), constant drying‐rate phase (Phase 1), and falling drying rate phase (Phase 2). By applying other methods of drying, the curves of the variation of drying rate as a function of the moisture content have the same appearance of the Krischer curve 13,31,43 …”
Section: Resultsmentioning
confidence: 90%
“…Bennamoun and Leonard 12 have estimated the experimental results of a cross‐flow belt dryer by empirical models. Wang et al 13 have used mathematical equations to simulate the sludge drying curves with a drying oven. To determine the most appropriate model to describe the drying curves of sludge with an indirect forced convection solar dryer, Idlimam et al 14 have adjusted the experimental drying curves by nine mathematical equations.…”
The draining solar drying is considered as an innovative solution in the field of sanitation. The objective of this work is to investigate the feasibility and model the kinetics of the sludge solar drying in a lab‐scale draining greenhouse by varying the air flow rate during winter and summer. The first experiment was conducted without ventilation. Then, a series of experiences was carried out with increasing the air flow. The drying period varied between 3 and 6 days in summer and between 9 and 14 days in winter. By increasing the air velocity, the drying time decreased. For the drying rate curves, in summer, only the falling rate period existed. However, in winter, the curves did not follow any regular shape of drying kinetics. Nine mathematical equations existing in the literature were tested to identify the thin‐layer drying kinetics of sewage sludge inside the draining greenhouse. The Midilli‐Kucuk model was the most reliable for describing the evolution of reduced moisture content versus drying time in hot and cold periods. However, for different drying conditions, the Wang and Singh model was the least suitable. The results revealed also that the effective diffusivity increased when the air flow rate and the ambient temperature increased.
“…The results show that the Midilli‐Kucuk model was the most reliable for describing the evolution of the reduced moisture content as a function of time in winter and summer seasons with R 2 equal to 0.99886 and 0.99998 and χ2 equal to 1.48 10 −4 and 6.41 10 −6 , respectively. This result agrees with the experimental drying results of sludge using an indirect solar dryer, 13 of mint, 43 apple, 46 thyme treated with distilled water, 47 and laurel noble. 48 However, for different drying conditions, the Wang and Singh model was the least suitable.…”
Section: Resultssupporting
confidence: 90%
“…The curve proposed by Krischer and Kast 42 (−dX/dt) as a function of X is divided into three phases: product warm‐up phase (Phase 0), constant drying‐rate phase (Phase 1), and falling drying rate phase (Phase 2). By applying other methods of drying, the curves of the variation of drying rate as a function of the moisture content have the same appearance of the Krischer curve 13,31,43 …”
Section: Resultsmentioning
confidence: 90%
“…Bennamoun and Leonard 12 have estimated the experimental results of a cross‐flow belt dryer by empirical models. Wang et al 13 have used mathematical equations to simulate the sludge drying curves with a drying oven. To determine the most appropriate model to describe the drying curves of sludge with an indirect forced convection solar dryer, Idlimam et al 14 have adjusted the experimental drying curves by nine mathematical equations.…”
The draining solar drying is considered as an innovative solution in the field of sanitation. The objective of this work is to investigate the feasibility and model the kinetics of the sludge solar drying in a lab‐scale draining greenhouse by varying the air flow rate during winter and summer. The first experiment was conducted without ventilation. Then, a series of experiences was carried out with increasing the air flow. The drying period varied between 3 and 6 days in summer and between 9 and 14 days in winter. By increasing the air velocity, the drying time decreased. For the drying rate curves, in summer, only the falling rate period existed. However, in winter, the curves did not follow any regular shape of drying kinetics. Nine mathematical equations existing in the literature were tested to identify the thin‐layer drying kinetics of sewage sludge inside the draining greenhouse. The Midilli‐Kucuk model was the most reliable for describing the evolution of reduced moisture content versus drying time in hot and cold periods. However, for different drying conditions, the Wang and Singh model was the least suitable. The results revealed also that the effective diffusivity increased when the air flow rate and the ambient temperature increased.
“…An efficient modeling of drying curves could be used to perform an accurate estimate of the moisture content (%) of the foamed sludge at any time during the whole drying process. 29,30 In this research, the results of moisture content (%) versus drying time were tted to adequate empirical and semi-theoretical models, which are widely used to describe the kinetics in the drying process. Finally, non-linear regression techniques (Nonlinear Curve Fit (Dose Resp)) were successfully applied to simulate the whole drying process of S 2:2 at the ideal density of 0.6 mg L À1 , using the Origin Pro 8.0 soware based on the Levenberg-Marquardt method (nonlinear least square method).…”
Section: Mathematical Modeling Of Drying Curvesmentioning
An innovative pretreatment technology, in which CaO was jointly added with NaOH followed by appropriate mechanical whipping, was investigated for the foaming and drying of sewage sludge (SS).
“…Thermal drying is the most widely utilized sludge drying technology nowadays. In order to obtain higher treatment efficiency with lower cost, in addition to systematic optimization and mechanism study of the established drying process, it is equally important to improve the exogenous conditions in order to achieve greater breakthrough [2]. The two significant exogenous factors in the sludge drying system are heat source and the physicochemical properties of sludge.…”
The high moisture content of the excess sludge in the sewage treatment plant has brought great difficulties to the subsequent treatment. In this study, rice straw fiber was collected as a conditioner for adding to the sludge. The effect of different grain diameter and dosages of straw fiber on sludge drying efficiency were investigated under different temperatures. Drying temperature is one of the most important factors affecting sludge drying rate. Compared with the original sludge, the drying efficiency of sludge adding rice straw fiber was higher. The effect of 35-80 straw fiber was 20%, and the water content decreased from about 70% to less than 10%. The effect of straw fiber particle size on sludge drying is affected by temperature, and the particle size should be taken into account at low temperature.
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