Factores de emisión de contaminantes climáticos de vida corta Emissions Factors of Short-lived Climate Pollutants Luisa T. Molina and the SLCF Project Team Encuentro Nacional de Respuestas al Cambio Climático: Calidad del Aire, Mitigación y Adaptación Cd. de México, junio 27 a julio 1, 2016
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Factores de emisión de
contaminantes climáticos de vida corta
Emissions Factors of
Short-lived Climate Pollutants
Luisa T. Molina and the SLCF Project Team
Encuentro Nacional de Respuestas al Cambio Climático:
Calidad del Aire, Mitigación y Adaptación
Cd. de México, junio 27 a julio 1, 2016
Outline
Short-lived Climate Pollutants
– Sources of Black carbon
– Sources of Methane
Characterization of SLCPs in Mexico
– Transport
– Livestock
– Cookstoves
– Brick Production
– Wastewater Treatment
– Landfill
– Oil/Gas
What are Short-Lived Climate Pollutants?
Black carbon (BC)
Tropospheric ozone (O3)
Methane (CH4)
Hydrofluorocarbons (HFCs)
• Relatively short-lived in the atmosphere
• Act as air pollutants (except HFCs)
• Contribute to global and regional climate change
• Multiple benefits of reducing SLCPs:
o Reduce air pollution - Protect public health and crops
o Slow down near-term global warming, reduce regional
impacts of climate change
Black carbon (BC) is a major component of soot; it is produced from
the incomplete combustion of fossil fuels, biofuels, and biomass.
It is emitted directly into the atmosphere in the form of fine particles.
Primary sources of BC include diesel engines, small industrial sources,
solid biofuels for cooking & heating, agricultural and forest fires.
Sources of Black Carbon
10% of global BC emissions
7% 50%
25%
Some 60% of the total BC emissions is amenable to control
Sources of CH4 emissions
Agriculture Municipal waste
Fossil fuel extraction & production
Fugitive methane emissions from shale
gas
Rice paddy
Wastewater treatment
Landfill
Pipeline leakage
Black carbon emissions (Gg) by sources in
2013 for Mexico
[Source: INEGEI, 2013]
Total BC emissions =125 Gg
Methane emissions (Gg) by sources in 2013
for Mexico
[Source: INEGEI, 2013]
Total methane emissions = 4,500 Gg
Pilot Project on Short-Lived
Climate Pollutants in Mexico
Characterization of methane, black carbon and
co-pollutants from key emissions sources
L Landfills
W Wastewater
LS Livestock
OG Oil and gas
M Mobile
CS Cook stoves
BK Brick kilns
MONTERREY
GUANAJUATO
MICHOACAN
QUERETARO
FEDERAL DISTRICT
MEXICO
VERACRUZ
SLCFs-Mexico 2013 Sectors and measurement locations
Transport (On-Road and Off-Road)
Participants: Molina Center for Energy and Environment (MCE2)
Aerodyne Research Inc. (ARI)
Universidad Nacional Autónoma de México (UNAM-CCA)
Tecnológico de Monterrey campus Toluca (ITESM-Toluca)
Ambientalis
California Air Resources Board (CARB)
Instituto Nacional de Ecología y Cambio Climático (INECC)
Secretaría del Medio Ambiente del Distrito Federal (SEDEMA)
RTP, METROBUS, COCA COLA-FEMSA, TURIBUS
Planta de Asfalto del DF
Secretaría de Obras y Servicios del DF
GeoConstruccion
Sistema Maíz
Characterization of Emissions from Key Sources
Complementary measurements –
Mexican universities and research institutions, government officials and NGOs
Aerodyne Mobile Lab
SLCF Mexico-2013
What vehicles we measured?
SLCFs-Mexico: Transport Sector Chasing diesel trucks at the RTP Modulo 23
Known release rates of tracer compounds spatially separated are measured after atmospheric advection.
The ratio of methane to tracer measured downwind is used to infer the methane release rate.
Generation of in vivo methane emission factors
using respiration chambers
In an open-circuit respiration chamber, external air is allowed into the
chamber where it is mixed with the gases exhaled by the animal. The
mixture is drawn by means of a pump through an outlet towards the gas
analyzer where they are quantitatively measured.
Respiration Chamber built in Yucatán for
in vivo measurements
A Nellore (Bos indicus) bull inside a respiration chamber fed a tropical grass and equipment for measuring methane (Faculty of Veterinary Medicine and Animal Science, University of Yucatan)
Effect of different secondary metabolites (tannins, saponins, oils) with potential to reduce enteric methane production were tested with cattle in vivo.
Livestock, environment and renewable energy sources
laboratory at UAEM.
One head-box type respiration chamber
Methane emissions for high yielding dairy cows and dual
purpose cows measured by different methods
Experiment Experimental
site
Measurement
method Breed
Tropical cattle. Faculty of
Veterinary Medicine UADY Mérida, Yucatán
Open-circuit
respiration chamber Dual purpose
Tropical cattle. Faculty of
Veterinary Medicine UNAM
Martínez de la
Torre, Veracruz
Dual tracer release
flux method Dual purpose
Temperate climate cattle.
Faculty of Veterinary Medicine
UAEM
Toluca, México
Open-circuit
respiration chamber
of the head box type
Holstein
Temperate climate cattle.
Faculty of Veterinary Medicine
UAEM
Toluca, México Dual tracer release
flux method Holstein
Enteric methane emission by cattle and sheep were measured for the first time in
Mexico using two different methods. The results compare reasonably well. o Higher emissions were registered by high yielding Holstein cows in Toluca because their
diet is of better quality than in the tropical climate regions. High yielding cows produce less methane per unit of product than the cows in the tropical climate regions.
Wood-Burning Cookstoves
Participants
Aerodyne Research Inc. (ARI)
Molina Center (MCE2)
UNAM-CCA
UNAM-Morelia
GIRA
Stove Performance Evaluation
Standard Testing Protocol
• The Water Boiling Test (WBT)
– The WBT is intended to measure stove performance under standardized laboratory conditions:
– The goal is to compare stoves performing a standard task, to see which can most effectively combust the fuel and transfer the heat into the cooking vessel.
– Standard task: boiling water
• Controlled Cooking Test (CCT)
– Comparison of the stove to the traditional cooking method as used by local cooks preparing common meals.
Collecting all emissions released in order to determine the most fuel efficient and cleanest-burning stove design
Patsari metálica
Ecostufa
Ludeé Biché Comal-tortilla
Ecocina
La mera mera
Onil
Patsari
List of
Cookstoves
Studied by AML Measurement Site: Patzcuara, Michoacan, GIRA
Emission ratios for the cook stoves sampled from the AML for PM composition during the “cold start” (CS) and “simmer test” (ST) sampling periods of the WBT.
Emission ratios for methane and other compounds
from the cookstoves sampled using AML
Emission ratios for the cookstoves sampled during the 2013 intensive field campaign for SO2, NOX, CH4, C2H6, C2H2, and N2O during the “cold start” (CS) and “simmer test” (ST) periods.
Brick Production
Participants
Molina Center for Energy and Environment (MCE2)
Aerodyne Research Inc. (ARI)
Instituto Nacional de Ecología y Cambio Climático (INECC)
Universidad Nacional Autónoma de México (UNAM)
Universidad Autonóma Metropolitana (UAM-I)
Gamatek (GT)
Instituto de Ecología del Estado de Guanajuato (IEEG)
Desert Research Institute (DRI)
Brick producers (El Refugio and Abasolo)
El Refugio, León, Guanajuato Abasolo, Guanajuato
Brick kilns measurement locations
Brick kiln Fuels Fuels
(kg)
Burning
(hr)
Produced bricks
Tons of cooked bricks
Pollutants
MK2 El Refugio
Pine, Indian Laurel,
Poplar, Eucalyptus,
Pirul, Ficus, Ash tree,
Mesquite, Manure
2430 17.6 4989 20.5
CH4
BC NOx VOCs CO CO2
N2O SO2
TRAD1 El Refugio
Poplar, Eucalyptus,
Pirul, Ficus, Ash tree,
Mesquite, Manure
4230 20.5 9727 38.4
TRAD2 Abasolo
Avocado, Diesel,
Sawdust 7710 3.8 21765 65.9
Brick kilns characteristics
Brick kiln emissions measurements
Tracer release
point
Ethyl Acetate tracer
High-time resolution (~1 sec) gaseous and PM measurements.
Emission rates were obtained using the tracer method by continuously locating the AML downwind of the plume and using a controlled tracer emission rate.
Measurements included PM2.5 mass with quartz filters that were analyzed for inorganics, elemental and organic carbon using thermo-optical methods.
Additional measurements included temperature, wood consumption, fuel’s carbon content, and brick’s quality.
AT THE SOURCE
DOWNWIND
Q Qtz filter sampler
Summary: Results from brick Productions The MK2 was cleaner on average than the traditional kiln but only subtly
indicating the cover and filter on the MK2 is useful but other factors may
be more important.
The fixed traditional kiln had the highest BC emission ratios but also
lastest the shortest 3 hours vs 20 hours.
The results have revealed a complex evolution of emission factors for the
brick production process. Observed black carbon emissions ratios are
highly correlated with furnace temperature, whereas organic composition
is correlated with the kiln’s temperature.
Energy consumption is an important parameter for determining the
efficiency of the kiln. However analysis of trade-offs between burning
time duration and overall emissions are needed to taken into account for
assessing the performance of the kiln.
Time evolution of emission factors is kiln dependent , during what part of
process and for what length of time does a kiln emit more.
Need to create a bigger dataset (more kilns).
Landfills
Participants
Aerodyne Research Inc. (ARI)
Molina Center for Energy and Environment (MCE2)
Instituto Nacional de Ecología y Cambio Climático (INECC)
Bioeléctrica de Nuevo León (BENLESA)
Secretaria de Obras y Servicios del CDMX
Measuring Sites for Landfills
BENLESA Nuevo Leon
Bordo Poniente Mexico City
2.2 km
1.8 km
Has methane capture technology at different locations depending on age and composition
Operated since 1985, the landfill was already in closure process (not trash disposed), but included a trash separation facility
Measuring Emissions from Landfills The methane and selected VOCs emissions from the landfills were
measured using the “tracer ratio emission method”
Methane is being captured
Methane is not being captured
Active biogas collection zone
exhibited much lower apparent
emissions of methane than the
uncontrolled landfill sector.
Methane Emissions
from BENLESA
Landfills
Wastewater Treatment Plants
Participants
UNAM Instituto de Ingeniería
Aerodyne Research Inc.
Molina Center for Energy and the Environment
Municipal Wastewater Treatment facilities hosting the measurement sites
Wastewater treatment (WWT) can produce methane if it is degraded
anaerobically. The extent of CH4 production depends primarily on the
quantity of degradable organic material in the wastewater, the
temperature, and the type of treatment system.
Activated sludge with anaerobic digestion
Stabilization ponds
Up-flow Anaerobic Sludge Blanket reactor
Distribution of WWTP by region and technologies
15 facilities from three regions (north, central and
south) were selected to account for the wide ranges of temperature in the country.
Three different treatment technologies
Stabilization Ponds
Activated sludge with anaerobic digestion
Summary of CH4 conversion and emission factors by operation practices
Wastewater treatment process CH4 conversion factor* (m3/kg VSrem)
Activated sludge with anaerobic
digestion
“Best practices” “Poor operation”
0.46 ± 0.03 0.19 ± 0.02
CH4 emission factor (kg/kg BODrem)
Stabilization ponds
“Best practices” “Poor operation”
0.45 ± 0.13 0.66 ± 0.115
CH4 emissions factor (m3/kg CODrem)
UASB “Best practices” “Poor operation”
0.24 ± 0.011 0.39 ± 0.06
CH4 emissions from wastewater treatment varies among regions,
depending on the environmental and operating conditions. Thus, specific
emission factors could be considered as indicators of differences in
treatment systems between each region.
The theoretical values of CH4 emissions from anaerobic wastewater
treatment process using the IPCC methodology present an overestimation
compared to actual CH4 emissions obtained in the field.
The results allow us to reach level 3 of the IPCC methodology, estimating
our own emission factors for the main systems of WWT in Mexico.
In the specific case of activated sludge with anaerobic digestion process, it
will be important to measure CH4 on the mono-landfills used for the disposal
of sewage sludge. Currently, there are no data regarding methane
emissions from these sites.
For stabilization ponds, it is very important measure CH4 emissions
throughout the year in order to describe the temporal and seasonal
variability present.
Summary: WWTP Methane Emissions
Oil and Gas
Participants
Molina Center for Energy and Environment (MCE2)
Aerodyne Research Inc. (ARI)
Instituto Nacional de Ecología y Cambio Climático (INECC)
Instituto Mexicano del Petróleo (IMP)
Petroleos Mexicanos (PEMEX)
Measuring Emissions from oil and gas facilities
Three oil and gas facilities (Tajin 2&4, Tajin 5, and Punta de Piedra using the tracer release method.
These are “baterias”, separating the incoming crude oil and gas.
Quantified methane emissions from direct leaks are reported.
Summary of results from oil-gas measurements
The AML measured individual plumes from gas leaks and flares from
the oil and gas facilities and emissions were estimated using the
tracer-release method.
The variability of the emissions rates estimated from the three sites
(Tajin 2, Tajin 5 and Punta de Piedra) demonstrates the importance of
local-based measurements in building up accurate inventories from oil
and gas facilities.
An estimated BC average emission rate of 0.48 g/kg of fuel
(equivalent to 0.32 g/m3 gas flared at STP) was obtained at the Punta
de Piedra site.
Summary: SLCPs Emissions Characterization
Database of emission factors for several key emissions sectors have been
measured using different methodologies.
The selection of sampling sites was guided by information about the
emissions, the types of technology used at the sites, as well as security
and accessibility to infrastructure and services.
In most sectors, the emissions factors were obtained for the first time in
Mexico. e.g.,
– enteric methane emission by livestock were measured for the first time
in Mexico using two different methods in 2 different climate zones;
– WWTP emissions factors were obtained for 3 different technologies;
– EFs differed from those used previously for inventories calculation.
The variability of the emissions factors estimated demonstrates the
importance of local-based measurements.
– Substantial variability in management and operating conditions
A larger database is needed in building up accurate inventories.
Acknowledgements
Financial support
Global Environmental Facility, UNEP, INECC, USAID, MCE2