Optimization of a Recovery Boiler Economizer
Pirttiniemi, Mikko (2016)
2016
Ympäristö- ja energiatekniikan koulutusohjelma
Luonnontieteiden tiedekunta - Faculty of Natural Sciences
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Hyväksymispäivämäärä
2016-12-07
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201611244786
https://urn.fi/URN:NBN:fi:tty-201611244786
Tiivistelmä
The aim of the present Master’s Thesis is to minimize the mass of a recovery boiler economizer while retaining heat transfer rate. The study features building a new 1-dimensional heat transfer model for the case and optimizing the results by using a modified version of Particle Swarm Optimization method.
Economizer heat transfer calculation is problematic due to particle radiation and fouling induced by exhaust fumes from the boiler. Moreover, in terms of optimization, the number of design variables included in the optimization render the case next to impossible to solve without computational support.
Results feature optimization of full economizer geometry as well as individual design parameter study, where direct guidelines for dimensional changes are found. Effect of flow properties and parameters are studied as well as possible simplifications for the model in order to make the optimization less time consuming. The results are expected to lead into savings in material costs as well as reduced size and mass while retaining the functionality, or even in-creasing it.
The study was provided by Valmet Technologies Oy, which also provided the initial geometry and reference cases for validation of the model.
Economizer heat transfer calculation is problematic due to particle radiation and fouling induced by exhaust fumes from the boiler. Moreover, in terms of optimization, the number of design variables included in the optimization render the case next to impossible to solve without computational support.
Results feature optimization of full economizer geometry as well as individual design parameter study, where direct guidelines for dimensional changes are found. Effect of flow properties and parameters are studied as well as possible simplifications for the model in order to make the optimization less time consuming. The results are expected to lead into savings in material costs as well as reduced size and mass while retaining the functionality, or even in-creasing it.
The study was provided by Valmet Technologies Oy, which also provided the initial geometry and reference cases for validation of the model.