Towards a reliable and efficient furnace simulation tool for coal fired utility boilers

Benedetto Risio (), Uwe Schnell and Klaus R. G. Hein
Additional contact information
Benedetto Risio: University of Stuttgart, Institute of Process Engineering and Power Plant Technology (IVD)
Uwe Schnell: University of Stuttgart, Institute of Process Engineering and Power Plant Technology (IVD)
Klaus R. G. Hein: University of Stuttgart, Institute of Process Engineering and Power Plant Technology (IVD)

A chapter in High Performance Computing in Science and Engineering ’98, 1999, pp 353-374 from Springer

Abstract: Abstract A validation exercise is presented with the objective of demonstrating that using a mature furnace simulation tool on high end supercomputers enables the reliable prediction of coal-fired utility boiler performance within short time frames. The tool used in the present investigation is the in-house developed 3D-furnace simulation code AIOLOS. To prove the predictive capabilities of AIOLOS the code is applied to the numerical simulation of three different industrial furnaces differing in the firing concepts, sizes and fuels. The discretizations range from 100,000 to 2,000,000 computed cells. Numerical predictions of AIOLOS are validated with measurements of temperature, wall heat fluxes, carbon in fly ash, and species concentrations provided by the industrial partners ENEL, Saarberg and RWE. The comparison of measured and calculated values showed that predictions with AIOLOS are accurate enough to enable the virtual optimization of combustion equipment in large scale utility furnaces. Furthermore, the vector and parallel performance of AIOLOS on the parallel vector computer NEC SX-4/32 has been assessed. The performance results showed that for the above mentioned calculations the runtime can be reduced to a couple of hours being short enough for industrial purposes.

Keywords: Wall Heat Flux; Furnace Wall; Validation Exercise; Acoustic Path; Momentum Ratio (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-58600-2_34

Ordering information: This item can be ordered from
http://www.springer.com/9783642586002

DOI: 10.1007/978-3-642-58600-2_34

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().