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The fol­low­ing videos show how our Mobile High-Tem­per­a­ture Cam­era works togeth­er with our Tem­per­a­ture Sen­sor Sys­tems mon­i­tor­ing an online explo­sive clean­ing in the first pass of an RDS as well as some exam­ples of cam­era appli­ca­tions in the boiler.

ENVERUM GmbH, Dres­den, and CheMin GmbH, Augs­burg are pleased to joint­ly present a lec­ture at the KWTK in Dres­den on the top­ic of Assis­tance and Mon­i­tor­ing Sys­tem for Intel­li­gent Boil­er Cleaning.

Authors:

ENVERUM GmbH: Mar­tin Pohl, Tao Wen, and Lars Jentschke

CheMin GmbH: Markus Richter, Marie Kaiser, and Joos Brell

The ther­mo­dy­nam­ic bal­ance mod­el from ENVERUM enables a com­pre­hen­sive assess­ment of foul­ing and heat trans­fer in the boiler.

In addi­tion, CheMin’s tem­per­a­ture sen­sor tech­nol­o­gy pro­vides detailed, spa­tial­ly resolved infor­ma­tion on local foul­ing and the effec­tive­ness of clean­ing devices.

Togeth­er, this allows the deriva­tion of key per­for­mance indi­ca­tors such as clean­li­ness and clean­ing efficiency.

ENVERUM GmbH (Dres­den) and CheMin GmbH (Augs­burg) are pleased to present their joint lec­ture at the KWTK con­fer­ence in Dres­den on “Assis­tance and Mon­i­tor­ing Sys­tem for Intel­li­gent Boil­er Cleaning.”

Authors:

ENVERUM GmbH: Mar­tin Pohl, Tao Wen, and Lars Jentschke

CheMin GmbH: Markus Richter, Marie Kaiser, and Joos Brell

ENVERUM’s Ther­mo­dy­nam­ic Bal­ance Mod­el enables a com­pre­hen­sive eval­u­a­tion of the entire boil­er sys­tem, address­ing both foul­ing and heat trans­fer process­es.
CheMin’s advanced tem­per­a­ture sen­sor tech­nol­o­gy pro­vides pre­cise, spa­tial­ly resolved data on local foul­ing and the effec­tive­ness of clean­ing devices.
Togeth­er, these tools allow the deriva­tion of key per­for­mance indi­ca­tors such as clean­li­ness and clean­ing efficiency.

CheMin experts have con­tributed an arti­cle to the vgbe jour­nal, the mag­a­zine of the tech­ni­cal asso­ci­a­tion of ener­gy plant oper­a­tors. It looks at in-situ fuel diag­no­sis and solv­ing prob­lems by using the boil­er as a con­tin­u­ous com­bus­tion lab.

Cer­tain fuels, par­tic­u­lar­ly those used in waste, RDF and bio­mass fur­naces are char­ac­ter­ized by het­ero­gene­ity and com­plex chem­i­cal com­po­si­tions. This caus­es stress to the boil­er, its com­po­nents, and its mate­ri­als. The fir­ing sys­tem that con­trols the incin­er­a­tion process in the fur­nace is fed by a large amount of sen­so­ry data yet the char­ac­ter­is­tics of the fuel remain unknown in the fir­ing system.

The con­cept of in-situ fuel diag­no­sis address­es this by uti­liz­ing the boil­er as a per­ma­nent com­bus­tion lab­o­ra­to­ry, mak­ing the hid­den prop­er­ties and process­es vis­i­ble. Meth­ods include the gen­er­a­tion of meta­da­ta through bal­anc­ing and mod­el­ling along­side spe­cif­ic sen­sor applications.

The basic idea of the in-situ fuel diag­no­sis is link­ing ther­mal uti­liza­tion of the fuel with the col­lec­tion of fuel prop­er­ties. This approach is advan­ta­geous and use­ful, as the nec­es­sary sen­sor appli­ca­tions are com­mon­ly avail­able and well estab­lished. Plants that are par­tic­u­lar­ly affect­ed include those fir­ing waste, RDF, bio­mass, lig­nite, and coal.
The indus­try is being pushed by legal and envi­ron­men­tal imper­a­tives asso­ci­at­ed with the cir­cu­lar econ­o­my towards inno­va­tion and new fuels. In-situ fuel diag­no­sis sup­ports the oper­a­tors of the plants in their efforts to achieve the goals of increased ener­gy effi­cien­cy and pow­er out­put and the reduc­tion of fos­sil CO2.

The full arti­cle can be read on our web­site: https://www.chemin.de/en/publications//