Chemistry in Biomass Combustion (ChemCom) · 2009. 2. 6. · Chemistry in Biomass Combustion...
Transcript of Chemistry in Biomass Combustion (ChemCom) · 2009. 2. 6. · Chemistry in Biomass Combustion...
Chemistry in Biomass Combustion (ChemCom)Åbo Akademi
together with
Helsinki University of TechnologyTampere University of Technology
Umeå University
with support of
Tekes
and industrial partners
Andritz OyFoster Wheeler Energia Oy
International Paper Inc.Kvaerner Power OyOy Metsä-Botnia Ab
Vattenfall Utveckling AB
Presented at the 2nd FFRC Liekki-day, Turku, 24.1.06
Past – Present - Future
- Since 1988 successful national research programs:• Long-term oriented research• Close collaboration between universities• Close cooperation with industrial partners
Excellent experiences and results
- Presently no national research program in combustion
ChemCom
Chemistry in Biomass Combustion (ChemCom)
ProjectSteering Group
Fundamental Research on
Chemistry in Biomass Combustion
Experiment Modelling Information
ProjectCoordination (ÅA)
Åbo Akademi Process Chemistry Centre
Åbo Akademi Process Chemistry Centre
Combustion and Materials ChemistryProf. Mikko Hupa
Materials Chemistry
Combustion Chemistry
Materials Chemistry
Combustion Chemistry• Mikko Hupa
• Christian Mueller• Bengt-Johan Skrifvars• Rainer Backman
• Anders Brink• Edgardo Coda Zabetta• Mikael Forssén• Jukka Konttinen• Patrik Yrjas• Maria Zevenhoven
• Daniel Lindberg• Mischa Theis• Johan Werkelin• Vesna Barisic• Markus Engblom• Mikaela Westén-Karlsson• Tor Laurén
HELSINKI UNIVERSITY OF TECHNOLOGY
Laboratory of Energy Engineering and Environmental Protection
• Carl-Johan Fogelholm
• Mika Järvinen• Ari Kankkunen• Pasi Miikkulainen
Tampere University of Technology
Applied Optics Group
• Rolf Hernberg• Jorma Keskinen
• Toni Laurila• Albert Manninen
Energy Technology and Thermal Process Chemistry
• Rainer Backman• Dan Boström
• Mathias Råberg• Anders Larsson
Energy Technology and Thermal Process Chemistry • Umeå University
ChemCom Mission
To develop improved understanding of
chemical aspects in biofuel combustion –
this way paving the road for development of
future fuel conversion technologies
Research Areas in ChemCom
Waste
Biomass Black Liquor
Gas Phase &Emissions
Characterisation &Conversion Inorganic Material
Furnace Processes Bed Processes
InformationExperiment Modelling
ChemCom – Research Structure
I1 I2
I3 I4
InformationExperiment Modelling
E1 E2M1
E3 E4
M2E5 E6
M3
Waste
Biomass Black Liquor
E7 E8
Research Topics – Solid Fuels
Biomass/Waste
Characterisation &Conversion
Inorganic MatterBehaviour
• Ash Particlesstickiness & depositionaerosols & heavy metals
• Fuel particlesconversion ratesrelease
• Fuel-NNOx formation tendencies
• Ash-forming matterrelease & particle formation
• Trace elementsrelease & particle formation
Researchers – Solid Fuels
Biomass/Waste
ÅABengt-Johan SkrifvarsRainer BackmanPatrik YrjasMischa TheisMicaela Westén-KarlssonTor Laurén
ÅAMikael ForssénJukka KonttinenRainer BackmanJohan WerkelinEdgardo Coda ZabettaMaria Zevenhoven
Characterisation &Conversion
Inorganic MatterBehavior
TUTRolf HernbergJorma KeskinenToni LaurilaAlbert Manninen
Fractionation database
ÅA fuel-, char- and ash databases
Fuel analysis data; proximate and ultimate analyses, selective leaching analyses for ash forming matter & trace elements
Deposit database Data from full-scale deposit measurement campaigns since 1996; process data (fuel, char. temperatures, boiler type, boiler load, etc.) deposit growth, deposit analyses.
Black liquor database Combustion experiments in single droplet reactors; pulping process type, standard liquor analyses, conversion time,swelling, formation of NO, SO2, CO2, and CO, pyrolysis and char yield
Nitrogen database Data from novel combustion experiments in a small-scale FBC; distribution of fuel-N between reactive and non-reactive (N2) volatile components and char-nitrogen.
Mineral Matter and Trace Elements
Characteristics of ash particles and their formation with special focus on trace elements. - selective leaching in combination with ion chromatography- continued evaluation of the stepwise leaching technique - tests on fuels and partly oxidized chars combined with SEM/EDX.
To give a deeper understanding of mineral matter & trace element release/behavior for better predictions and better model input values
Chemical Fractionation
/J. Werkelin, PhD work 2003-2006/
Metals in wood
/J. Werkelin, PhD work 2003-2006/
Co-combustion & Ash Behavior
Characteristic differences for fuel mixturesdeposit formation vs erosion - Lab-scale studies of deposition and erosion tendencies 1) various fuels with strongly differing ash characteristics2) taylor-made model substances
- Full-scale verification measurements of fly ash behavior with in-situ, on-line fly ash measurement equipment
To get validation data of deposition vs erosion submodel developed to be done in M1.
Ash deposition behavior of biofuel blends
0102030405060708090
negative interaction
positive interaction
no interaction
Dep
ositi
on ra
te
[mg/
(g c
m2 )]
0 20 40 60"Dirty Fuel" [mass %]
80 100
/M. Theis, PhD work 2003-2006/
The EFR(University of Toronto)
Gas burner
Sample feeder
Probe
Furnace9 m
Particles
1000 ºC
550 ºC
Deposit Sampling
500 g/40 min
1000 ºC
< 1mm
Deposition Results Peat/Straw Mixtures
020406080
100120140160
0 10 20 30 40 50 60 70 80 90 100Straw fraction (wt-%)
Dep
ositi
on (g
/m2 h)
RestP2O5ClSO3K2ONa2OMgOCaOCr2O3Fe2O3Al2O3SiO2
/M. Theis, PhD work 2003-2006/
Biofuel ash chemistry predictor
Fuelsample
1
Stepwiseleaching,
SEMEquilibrium
Composition+
CFD
Fuelsample
2
Stepwiseleaching,
SEM
Fuelsample
3
Stepwiseleaching,
SEM
Chemical equilibrium calculation45% Plywood + 55% Bark, “reactive flyash”
/Backman, Zevenhoven 2002/
CaCO3 CaO
MgOMg(SiO4)0.5 Ca(SiO4)0.5
KClNaCl
K2 SO4K2CO3
Na2 CO3
Na2 SO4
Na, K)2(CO3 , SO4 , Cl2 )
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
120011001000900800700600500400Temperature °C
amou
nt g
/100
g
liquidsolid
Biofuel ash chemistry predictor
Fly ash particle”hit map”
: Extreme fouling: High fouling: Fouling: Low fouling: No fouling
/C. Mueller: “Wilhelm Jost” prize 2004/
Ash behaviour predictor – CFD- situation today -
Bottom ash,Bed behaviour
Reactive fly
ash
H 2O+NH 4A
c
Stepwiseleaching,
SEM Inert flyash,Cleaning effect
Fuels
In-situ diagnostics of combustion chemistry
To explore the possibilities of developing Laser Photoacoustic Analysis LPA as a research tool for determining the composition of aerosols in combustion:- Analytical modelling of the photoacoustic response of aerosol particles
- Experimental study of the photoacoustic response of aerosol particles containing trace elements
To develop methods able to determinequantitative trace element species selective analysis results
/Rolf Hernberg, Jorma Keskinen/
Manganese (Mn) is one of the “dirty dozen” although important in wood
Manganese (Mn) chemistry in biomass utilisation
(found in the same order of magnitude as Fe and Al)
- To follow up the role of Mn in the trace element emission legislation and to review and report valuable information on environmental effects of Mn.
- To summarize the Mn chemistry at combustion and gasification conditions Summary will focus on the chemical form of Mn in the fuel, Distribution between coarse-, fine ash fractions, and gas phase.
- To determine how Mn reacts with bed materials in FBCs
The experimental methods used in this study are:- Chemical analysis and chemical fractionation- Thermal analysis- Molecular Beam Mass Spectrometry (MBMS)- SEM/EDS analysis
EU directive on incineration of waste containing fuels
Sb + As + Cr + Co +Cu + Mn + Ni + Pb + V 0.5 mg/m3n* (twice a year)
Cd +Tl 0.05 mg/m3n* (twice a year)
Hg 0.05 mg/m3n* (twice a year)
*6 % O2, dry gases
0.5 mg/m3n* in flue gases ≈ 3 – 4 ppm (mg/kg) in dry wood
Metals in 37 wood species
0.0000001 0.000001 0.00001 0.0001 0.001 0.01 0.1 1
Concentration (mass fraction)
CKAl
MgFe
P
NaZn
BCu
PbCr
NiMo
AsCd
HgSe
1 %1 ppm 100 %
Mn
Manganese in wood, Werkelin 2002
0
500
1000
1500
2000
2500
Pine
Asp
en
Spru
ce
Bir
ch
Pine
Asp
en
Spru
ce
Bir
ch
Pine
Asp
en
Spru
ce
Bir
ch
Pine
Asp
en
Spru
ce
Bir
ch
Tree species
mg
Mn/
kg d
ry w
ood
Trunk woodBarktrunk
Bark branches
Twigs
min
max
Average