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ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
MULTI-PARAMETER ESTIMATION IN ACTIVE DESICCANT WHEELS
Submission Author:
Carlos Eduardo Leme Nobrega , RJ
Co-Authors:
Carlos Eduardo Leme Nobrega
Presenter: Carlos Eduardo Leme Nobrega
doi://10.26678/ABCM.ENCIT2020.CIT20-0231
Abstract
The quest for low energy demand acclimatization systems has led to the application of active desiccant wheels, as an effective dehumidification tool. It consists of a porous matrix impregnated with a desiccant substrate, which swings between the fresh air stream and a reactivation hot air stream. The dynamic behaviour of desiccant wheels has been simulated by a mathematical model, which has been tested and validated by comparison with experimental data, allowing for the design of increasingly effective units. However, the continuous operation can lead to a deviation of the original design parameters. For instance, fouling can concur to pore blockage, thereby modifying the adsorption capacity in addition to heat and mass transfer coefficients. Accordingly, the present paper develops an inverse problem methodology to estimate original parameters in the mathematical model from experimental data. It is shown that as much as four parameters can be retrieved with data harvested from three temperature sensors, with a reasonable computational effort
Keywords
Desiccant, desiccant system, Inverse problem
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