Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 367527
Title On-line estimation of the dissolved zinc concentration during ZnS precipitation in a continuous stirred tank reactor (CSTR)
Author(s) Grootscholten, T.I.M.; Keesman, K.J.; Lens, P.N.L.
Source Water Science and Technology 57 (2008)10. - ISSN 0273-1223 - p. 1627 - 1633.
DOI https://doi.org/10.2166/wst.2008.150
Department(s) Sub-department of Environmental Technology
Systems and Control Group
WIMEK
Publication type Refereed Article in a scientific journal
Publication year 2008
Keyword(s) oppervlaktewater - afvalwaterbehandeling - zware metalen - zink - chemische precipitatie - verwijdering - sulfiden - selectiviteit - waterzuivering - surface water - waste water treatment - heavy metals - zinc - chemical precipitation - removal - sulfides - selectivity - water treatment - metals
Categories Waste Water Treatment
Abstract In this paper a method is presented to estimate the reaction term of zinc sulphide precipitation and the zinc concentration in a CSTR, using the read-out signal of a sulphide selective electrode. The reaction between zinc and sulphide is described by a non-linear model and therefore classical observer theory cannot be applied directly, as this theory was initially developed for linear systems. However, by linear reparametrization of this non-linear system, the linear observer theory can be applied in an effective way. This is illustrated by a zinc sulphide example using real data.
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.