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Drying Technology
An International Journal
Volume 24, 2006 - Issue 11
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Original Articles

Modeling Solar Drying Rate of Wastewater Sludge

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Pages 1353-1363 | Published online: 06 Feb 2007
 

Abstract

Efficient solar drying requires that the drying rate is quantitatively known as a function of the environment and the control. To develop a drying-rate model for wastewater sludge, data were collected at a solar drying installation in Füssen, Germany. In this solar dryer, wet sludge is uniformly spread over a concrete floor under a greenhouse-like transparent cover. The sludge is mixed mechanically several times a day by an autonomous robot (electric mole®), the structure is fan-ventilated horizontally, and the indoor air is mixed by electric fans. Data of evaporation rate, environmental conditions, and control operations were collected over three drying cycles. Evaporation rate via sludge sampling and via vapor balance across the structure compared favorably, justifying the use of hourly vapor-balance data. Four types of prediction models were considered: physical, additive, multiplicative, and neural network. The multiplicative model has been selected for potential implementation. The most important predictors of evaporation rate, for the conditions under consideration, were (1) solar radiation, (2) outdoor temperature, (3) ventilation rate, and (4) dry solids content of the sludge. Air mixing is an order of magnitude less effective (per unit of air discharge) than ventilation.

ACKNOWLEDGEMENT

We are grateful to the Thermo-System Company and the management of the Füssen plant for their help in data collection and for permission to use the data. Mr. Rainer Baumann has been most helpful in data collection and organization.

Notes

*Amount of solids reconstructed from vapor-balance and DSC measurements.

A: Total available hourly records. B: After pruning (see text). The regions selected for later presentation in Figure are shaded. The solar radiation, R o , ranges (in W/m2) are R1: 0 to 100, R2: 100 to 300, R3: 300 to 500, R4: 500 to 700. The temperature, T o , ranges (in °C) are T0: −15 to −5, T1: −5 to 5, T2: 5 to 15, T3: 15 to 25, T4: 25 to 35. The ventilation rate, Q v , levels (in m3/(m2h)) are Q1: ∼30, Q2: ∼100, Q3: ∼140.

The shaded rows and columns are for variables that are well correlated with T o , as the two bordered-cells indicate.

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