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Sewage sludge combustion model with reduced chemical kinetics mechanisms
ID
Žnidarčič, Anton
(
Author
),
ID
Katrašnik, Tomaž
(
Author
),
ID
Zsély, I. G.
(
Author
),
ID
Nagy, T.
(
Author
),
ID
Seljak, Tine
(
Author
)
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MD5: 1D176E3B12A242E61E04C1CFC5F848CE
URL - Source URL, Visit
https://www.sciencedirect.com/science/article/pii/S0196890421002491
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Abstract
Commonly applied 3D CFD models lack suitable combustion description of fuels with complex composition, such as encountered in wastewater sludge specific applications. This significantly influences their prediction capability, in particular when used in small, confined combustion volumes. To tackle this challenge, it is necessary to introduce detailed chemical kinetic models for specifically tailored fuel surrogates, which ensure physically accurate description of local thermodynamic conditions and heat release rates. However, necessity to increase the level of detail of models needs to be balanced by their computational expenses to preserve their applicability when solving real engineering problems. With an aim to fill this gap, the present study significantly extends the existing surrogate model methods for applications in small-scale systems to include also reduced combustion kinetic mechanisms. The innovative extension applies Simulation Error Minimization Connectivity Method and involves tailoring of kinetic mechanisms to variable thermodynamic conditions and variable surrogate compositions, specific to sewage sludge combustion. Suitability of the proposed approach is confirmed with the 3-D CFD simulations maintaining similar level of accuracy within the design space of reduced mechanisms as well as in off-design conditions, while maintaining sufficient flexibility to adapt to different types and compositions of the sludge. Thereby, reduction of the in-model applied detailed ethanol and propene mechanisms from 47 and 71 species down to 33 and 34 species, respectively, was demonstrated together with linearly dependent decrease in computational time. The proposed model extension and resulting surrogate combustion model thus for the first time offer an efficient tool for affordable and accurate virtual design of small-scale combustion systems using fuels with complex chemical composition.
Language:
English
Keywords:
combustion
,
chemical kinetics
,
sewage sludge
,
numerical simulations
,
reduced reaction mechanisms
,
3-D CFD
,
surrogate model
,
detailed chemical kinetics
,
reaction mechanisms
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2021
Number of pages:
15 str.
Numbering:
Vol. 236, art. 114073
PID:
20.500.12556/RUL-126413
UDC:
004.942:628.3(045)
ISSN on article:
0196-8904
DOI:
10.1016/j.enconman.2021.114073
COBISS.SI-ID:
58189827
Publication date in RUL:
21.04.2021
Views:
1567
Downloads:
117
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Record is a part of a journal
Title:
Energy conversion and management
Shortened title:
Energy convers. manage.
Publisher:
Elsevier
ISSN:
0196-8904
COBISS.SI-ID:
2618919
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Secondary language
Language:
Slovenian
Keywords:
zgorevanje
,
kemijska kinetika
,
odpadni mulj
,
numerične simulacije
,
reducirani reakcijski mehanizmi
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0401
Name:
Energetsko strojništvo
Funder:
ARRS - Slovenian Research Agency
Project number:
Z2-1862
Name:
Zgorevanje brez okoljskega odtisa za proizvodnjo zelene energije
Funder:
Other - Other funder or multiple funders
Funding programme:
Slovenia, Ministry of Education, Science and Sport
Acronym:
CelCycle
Funder:
Other - Other funder or multiple funders
Funding programme:
Hungary, National Research, Development and Innovation Office (NKFIH)
Project number:
OTKA K132109
Funder:
Other - Other funder or multiple funders
Funding programme:
Hungariy, National Research, Development and Innovation Office (NKFIH)
Project number:
OTKA FK134332
Funder:
Other - Other funder or multiple funders
Funding programme:
COST
Project number:
CM 1404
Acronym:
SMARTCATS
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