Boiler Furnace Design Methods

2000 ◽  
pp. 128-160 ◽  
Author(s):  
Prabir Basu ◽  
Cen Kefa ◽  
Louis Jestin
Keyword(s):  
Design Methods ◽  
Furnace Design ◽  
Boiler Furnace

Furnace Design Methods

2013 ◽  
pp. 457-506
Author(s):  
Peter Mullinger ◽  
Barrie Jenkins
Keyword(s):  
Design Methods ◽  
Furnace Design

Analysis of Power Boiler Furnace Wall and Its Supporting Structure

2010 ◽  
Author(s):  
Jaecheol Kim ◽  
Taewoan Kim
Keyword(s):  
Fluid Pressure ◽  
Furnace Wall ◽  
Gas Pressure ◽  
Furnace Design ◽  
Boiler Furnace ◽  
Compression Load ◽  
Design Option ◽  
H Beam ◽  
Power Boiler ◽  
Space Plate

In this paper, wall tube stresses of power boiler furnace according to three different design options of furnace wall stiffening system were investigated. As the loading condition, furnace design gas pressure, fluid pressure inside the wall tube and the temperature difference between furnace wall and reaction plate were used. When the simplest design option is applied, wall tube stress levels are unsatisfactory. Furnace design gas pressure has strong influences on wall tube stress in this case. The second option using a reaction plate successfully decreased stresses on furnace wall tubes. However, another problem has arisen from using the reaction plate between furnace wall and wall stiffening H-beam called buckstay. When there are temperature differences between furnace wall and reaction plate, wall tubes are subjected to a large compression load. As final design option, the wall stiffening system using a space plate in addition to the reaction plate was analyzed. The space plate on reaction plate gives room to absorb differential thermal expansion between furnace wall and reaction plate, and satisfactory stress results on furnace wall tubes were obtained.

Use of Flow Models for Boiler-Furnace Design

1959 ◽  
Vol 81 (4) ◽  
pp. 371-377 ◽  
Author(s):  
R. W. Curtis ◽  
L. E. Johnson
Keyword(s):  
Flow Distribution ◽  
Model Design ◽  
Furnace Design ◽  
Boiler Furnace ◽  
Flow Models ◽  
Scale Models ◽  
Specific Unit ◽  
Distribution Problems

This paper discusses, from a practical viewpoint, the use of scale models to study flow-distribution problems encountered in the design of boiler furnaces. Some of the types of models used by the authors’ company and the methods of testing each type are described. A brief discussion of model design is presented. An example of how flow models were used to aid in the design of the furnace arrangement for a specific unit is described.

Furnace design methods

2008 ◽  
pp. 455-505
Author(s):  
Peter Mullinger ◽  
Barrie Jenkins
Keyword(s):  
Design Methods ◽  
Furnace Design

Modeling fine particles and alkali metal compound behavior in a kraft recovery boiler

TAPPI Journal ◽  
2012 ◽  
Vol 11 (7) ◽  
pp. 9-14 ◽  
Author(s):  
AINO LEPPÄNEN ◽  
ERKKI VÄLIMÄKI ◽  
ANTTI OKSANEN
Keyword(s):  
Alkali Metal ◽  
Computational Models ◽  
Fine Particles ◽  
Black Liquor ◽  
Melting Behavior ◽  
Metal Compound ◽  
Effect Of Temperature ◽  
Particle Model ◽  
Boiler Furnace ◽  
Recovery Boiler

Under certain conditions, ash in black liquor forms a locally corrosive environment in a kraft recovery boiler. The ash also might cause efficiency losses and even boiler shutdown because of plugging of the flue gas passages. The most troublesome compounds in a fuel such as black liquor are potassium and chlorine because they change the melting behavior of the ash. Fouling and corrosion of the kraft recovery boiler have been researched extensively, but few computational models have been developed to deal with the subject. This report describes a computational fluid dynamics-based method for modeling the reactions between alkali metal compounds and for the formation of fine fume particles in a kraft recovery boiler furnace. The modeling method is developed from ANSYS/FLUENT software and its Fine Particle Model extension. We used the method to examine gaseous alkali metal compound and fine fume particle distributions in a kraft recovery boiler furnace. The effect of temperature and the boiler design on these variables, for example, can be predicted with the model. We also present some preliminary results obtained with the model. When the model is developed further, it can be extended to the superheater area of the kraft recovery boiler. This will give new insight into the variables that increase or decrease fouling and corrosion

Dimensioning a recovery boiler furnace using mathematical optimization

TAPPI Journal ◽  
2015 ◽  
Vol 14 (2) ◽  
pp. 119-129 ◽  
Author(s):  
VILJAMI MAAKALA ◽  
PASI MIIKKULAINEN
Keyword(s):  
Radial Basis Function Network ◽  
High Capacity ◽  
Mathematical Optimization ◽  
Optimization Procedure ◽  
Optimization Method ◽  
Performance Criteria ◽  
Boiler Furnace ◽  
Starting Point ◽  
Recovery Boiler ◽  
Base Design

Capacities of the largest new recovery boilers are steadily rising, and there is every reason to expect this trend to continue. However, the furnace designs for these large boilers have not been optimized and, in general, are based on semiheuristic rules and experience with smaller boilers. We present a multiobjective optimization code suitable for diverse optimization tasks and use it to dimension a high-capacity recovery boiler furnace. The objective was to find the furnace dimensions (width, depth, and height) that optimize eight performance criteria while satisfying additional inequality constraints. The optimization procedure was carried out in a fully automatic manner by means of the code, which is based on a genetic algorithm optimization method and a radial basis function network surrogate model. The code was coupled with a recovery boiler furnace computational fluid dynamics model that was used to obtain performance information on the individual furnace designs considered. The optimization code found numerous furnace geometries that deliver better performance than the base design, which was taken as a starting point. We propose one of these as a better design for the high-capacity recovery boiler. In particular, the proposed design reduces the number of liquor particles landing on the walls by 37%, the average carbon monoxide (CO) content at nose level by 81%, and the regions of high CO content at nose level by 78% from the values obtained with the base design. We show that optimizing the furnace design can significantly improve recovery boiler performance.

Section 4.a Introduction

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Silvia PIZZOCARO ◽  
Pınar KAYGAN ◽  
HARMAN Kerry ◽  
Erik BOHEMIA
Keyword(s):  
Social Problems ◽  
Elderly Care ◽  
Child Poverty ◽  
Design Methods ◽  
Innovative Solutions ◽  
Design Council

Co-design is a process in which designers and users collaborate as ‘equals’ to develop innovative solutions. Co-design methods are increasingly used by professional designers to facilitate and enable users to co-develop innovative solutions for ‘themselves’. For example, the Design Council is advocating the use of co-design methods to support the development of practical innovative solutions to social problems such as increased cost of elderly care and tackling child poverty. The involvement of users in developing solutions acknowledges that their take up is dependent on the ways users create and negotiate meanings of objects and services.

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