Publication Cover
Drying Technology
An International Journal
Volume 24, 2006 - Issue 11
764
Views
34
CrossRef citations to date
0
Altmetric
Original Articles

Modeling Solar Drying Rate of Wastewater Sludge

&
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.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 760.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.