Page 49 - Glass Machinery Plants & Accessories no. 1-2019

MODELLING EXAMPLES
Company Project Findings Result
Company A Evaluate impact of elimi- Modelling output glass quality An Air Products USD 45,000 resulted in a yearly
nating electric boost on indicators lead to the conclusion savings of USD 160,000 in electric power costs.
glass quality. that glass quality is unaffected
modelling study by eliminating
electric boost.
Company B Improve glass quality of Glass quality was poor at Air Products’ modelling efforts facilitated exi-
furnace. Use modelling higher pull rates due to throat sting reject rate reduction from 36% to 16% on
results to aid design of design of the existing furnace. FYJTUJOH GVSOBDF ZJFME JNQSPWFNFOU WBMVF ó
new furnace. Improvement could be obtained USD 50 million/year). The new furnace design
by changing operating parame- was altered and now has the lowest reject rate
ters. of any of Company B’s furnaces. Modelling
study cost was USD 60,000.
Company C Improve melting capabi- More bubblers can increase the Implementing solid waste recycle can save
lity of furnace using bub- bottom temperatures, but too the company USD 127–270,000/yr. in dispo-
bling to allow for solid many bubblers can decrease sal costs and reduce environmental impact.
waste recycle. melting capability. Modelling study cost was USD 38,000.

5IF (MBTT .FMU .PEFM FWBMV- surface interface are not sim- ommendations. Confidentiality
ates changes in furnace design and plified, a necessary requirement is maintained under appropriate
operating parameters. It can also when either model is used alone. terms.
help to understand melting opera-
tion by providing glass flow and AIR PRODUCTS’ GLASS MODELLING EXAMPLES
temperature fields; residence time MODELLING SERVICES Air Products has performed
distribution (including minimum Air Products’ modelling team modelling services for glass man-
and mean); melting and fining o DPNQPTFE PG EFEJDBUFE QFPQMF ufacturers worldwide, and across
indices (indications of melting and with greater than 20 years of com- all of the major glass segments.
fining capability); glass redox con- bined Ph.D.-level modelling expe- The above is a sampling of sig-
centrations; and particle tracking, SJFODF o XPSLT DMPTFMZ XJUI DPN- nificant, measurable benefits that
including critical flow path. pany’s experts to understand cur- Air Products’ modelling has pro-
rent operations, proposing process vided glass customers. O
AP Coupled Combustion Space/ implementations and other needs.
Glass Melt Simulation Air Products works closely with
Used together, Air Products’ staff to collect the data necessary
Coupled Combustion Space/ to construct a model. This step
(MBTT .FMU .PEFM QSPWJEFT NPSF is crucial to setting up effective
accurate prediction of the effect models that properly evaluate the AIR PRODUCTS AND
of changes made within the fur- current and proposed operations. CHEMICALS INC.
nace than either of the two mod- Once the model is complete,
els run independently. When the the Air Products team applies its 7201 Hamilton Boulevard
two models are used together, knowledge to interpret the results, Allentown, Pa 18195-1501 - USA
boundary conditions at the glass draw conclusions, and make rec- Tel.: +1 - 610 - 4814221
Fax: +1 - 610 - 4817298
E-mail: info@airproducts.com
www.airproducts.com