Porosity-Based Corrosion Model for Alkali Halide Ash Deposits during Biomass Co-firing

被引:12
|
作者
O'Hagan, Conor P. [1 ,2 ]
O'Brien, Barry J. [3 ]
Griffin, Fionn [4 ]
Hooper, Barry [5 ]
Leen, Sean B. [1 ,2 ]
Monaghan, Rory F. D. [1 ,2 ,6 ]
机构
[1] Natl Univ Ireland, Coll Engn & Informat, Mech Engn, Galway, Ireland
[2] Natl Univ Ireland, Coll Engn & Informat, Ryan Inst Environm Marine & Energy Res, Galway, Ireland
[3] Natl Univ Ireland, Coll Engn & Informat, Biomed Engn, Galway, Ireland
[4] ESB Generat & Wholesale Markets, Dublin, Ireland
[5] Bord Mona PowerGen Ltd, Newbridge, Ireland
[6] Natl Univ Ireland, Combust Chem Ctr, Galway, Ireland
基金
爱尔兰科学基金会;
关键词
RANDOM PORE MODEL; FLUID-SOLID REACTIONS; SUPERHEATER MATERIALS; PART; OXIDATION; CHLORINE; NICKEL; IRON; COMBUSTION; CHROMIUM;
D O I
10.1021/ef502275j
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a physics-based model to describe accelerated corrosion because of alkali-halide-containing deposits, which form on superheater tube walls during biomass co-firing. Increased rates of corrosion during the co-firing of peat with biomass have been identified as a limiting factor on the level of biomass, which is viable to use at devoted temperatures. In the present work, a synthetic salt,, representative of a 70:30 peat/biomass mix, has been applied to pure iron samples in air at 540 and 600 degrees C. The corrosion layers have been examined using scanning electron microscopy (SEM), optical microscopy (OM), and energy-dispersive X-ray (EDX) spectroscopy elemental mapping to provide insight into the material degradation and structure of the corrosion layer. Two distinct types of oxides are found to form on the iron substrate. Initially, a compact, uniform oxide layer forms over the substrate. As the process continues, this oxide layer degrades, leading to spoiling, which sees the broken oxide pieces mix with the salt layer. Additional test samples were examined without deposits as controls to highlight the accelerated rate of corrosion. Two modeling techniques are examined: the widely used labyrinth factor method (LFM) and the newly proposed porosity-based corrosion method (PCM). The PCM uses the measurements of porosity and pore radius, coupled with a physically based corrosion mechanism, to predict corrosion rates. Results from the two modeling techniques are compared, and both agree satisfactorily with experimental measurements for times of up to 28 days.
引用
收藏
页码:3082 / 3095
页数:14
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