Features
JUNE 2007 / JULY 2007

Optimizing drying parameters
It is not enough to leave hood design to the suppliers.
Operational controls at the mill are also a critical element in long-term energy savings

By Oscar Lopez

Current energy prices are encouraging design engineers to propose ways optimizing the use of the energy in drying systems.

The optimization must involve the design phase but also the operational phase. Once the machine is running we cannot leave to the operators to decide how to use the differen drying potentials available in the machine.

Tissue drying offers good opportunities for optimization as the specific amount of energy use per ton of paper on the reel is quite significant. The potential savings are thus also very significant and the effect of the drying parameters (namely, the impingement velocity and temperature, the moisture of the exhaust gases and the steam pressure inside the Yankee cylinder) have a direct effect on the different energy consumptions: gas consumption in hood burners, electricity consumption in different hood fans and steam consumption in the Yankee cylinder0.\

The design phase of a Yankee hood must involve the minimization of heat, internal and external, and pressure losses in different parts of the hood and air systems by means of the application of new and modern techniques (CFD and FEA). It must also incorporate mechanical solutions designed to limit limit hall air infiltrations and hot gas spillage to the hall.

The operational phase for the optimization must include all the necessary automation controls to ensure the correct balance of the hood halves and the best conditions for the gas combustion.

In addition to the conventional concepts described above, we must also focus, both in design and operational phases, on optimizing the total operational cost, defined as
Cop = cgas • Vgas + celec • Welec + csteam • msteam
where Cop = operational cost (€/ton paper), cgas = gas unit cost (€/Nm3 gas), celec = electricity unit cost (€/kWh electricity), celec = steam generation unit cost (€'/ton steam) Vgas = specific gas consumption (Nm3/ton paper), Welec = specific electricity consumption (kWh/ton paper), msteam = specific steam consumption (ton/ton paper), and where all specific consumptions are functions strongly dependant on the main drying parameters, ie.
Vgas = fcn1(tsupply, vsupply, Wexhaust),
Welec = fcn2(tsupply, vsupply, Wexhaust), and
msteam = fcn3(psteam, tsupply, Wexhaust),
with,
tsupply = supply or impingement temperature in the hoods (ºC),
vsupply = supply or impingement velocity in the hoods (m/s),
Wexhaust = moisture or water content in exhaust gases (kgH2O/kg dry gases), and
psteam = steam pressure in Yankee cylinder (barg).

In design phase an optimization study must be carried out to define the best combination of operating conditions (tsupply, vsupply, Wexhaust, and psteam) at the current levels. Even better, studies shouuld be carried out based on estimated future levels of unit costs (cgas, celec, and csteam).


Some practical examples of this short series of studies for the optimized determination of the drying parameters are shown the charts reproduced here.

This study can be (and should be) applied not only to new installations but to existing installations where we must face different constraints function derived from the re-use of existing equipment (for instance, the re-use of existing circulation fan or motor, or the re-use of existing Yankee hoods with mechanical limitations in operating temperatures related to the sort of materials utilised in their fabrication).

In the operational phase the optimization of the drying parameters must follow the fluctuations of the unit cost of the energy (cgas, celec, and csteam) gradually updated (monthly, for instance).

This optimization will be the result of a permanent evaluation of the minimum operational cost, Cop, by means of an algorithm that estimates instantaneously the operational cost as a function of its historical evolution taking into consideration the trends of the last reading of the main drying parameters, obviously submitted to the convenient restrictions always compatible with the equipment and the different controls interacting in the air systems.

This algorithm so defined would fix the appropriate speed of rotation of the circulation fans. This way, the supply temperature of the hood, defined by the moisture of the paper at the QCS scanner, would depend of the rotation speed of the circulation fans determined by the minimum operational cost (again, always compatible with the normal restrictions of the equipment and the drying process). The only parameters still to be defined are the moisture of the exhaust gases (Wexhaust) and the steam pressure (psteam) of the Yankee cylinder.

Nowadays the moisture of the exhaust gases is controlled independently from the other parameters, as it contributes in a smoother way to the drying capacity (graph below):

The steam pressure, on the other hand, is normally manually operated by the papermakers depending on different factors (some of them rather subjective).

We are currently working in the integration of the steam pressure into the optimization algorithm to provide a complete tool able to optimize all the main drying parameters in the tissue machine.

This integration would also consider the common restrictions in steam pressure variation compatible with the operation and quality of the final product to be achieved. TW

Mr Lopez is R&D Manager-with Brunnschweiler SA based in Munguia, Spain