Biomass fast pyrolysis liquid (bio-oil) is a cellulose based alternative fuel with the potential to displace fossil fuels in stationary heat and power applications. To better understand the combustion behavior and emissions of bio-oil, a 10 kW spray burner was designed and constructed. The effect of swirl, atomization quality, ignition source (pilot) energy, air/fuel preheat and equivalence ratio on the stability and emissions of bio-oil spray flames was investigated. A blend of 80% pyrolysis liquid and 20% ethanol by volume was used during the tests and the results were compared to burner operation with diesel. It is important to have good atomization, thorough mixing and high swirl in order to stabilize ignition, promote the burnout of bio-oil and decrease CO, hydrocarbon and particulate matter emissions. The total amount of primary air and atomizing air that can be used to improve turbulence, mixing, droplet burnout and overall combustion quality is limited by the distillable fraction and narrow lean blow-out limit associated with pyrolysis liquid. Air and fuel preheat are important for reducing hydrocarbon and CO emissions, although subsequent fuel boiling should be avoided in order to maintain flame stability. The NOx produced in bio-oil flames is dominated by the conversion of fuel bound nitrogen. The particulate matter collected during bio-oil combustion is composed of both carbonaceous cenosphere residues and ash. Under good burning conditions, the majority consists of ash. Pilot flame energy and air/fuel preheat have a weak effect on the total particulate matter in the exhaust. Generally, these results suggest that available burner parameters can be adjusted in order to achieve low hydrocarbon, CO and carbonaceous particulate matter emissions when using pyrolysis liquid. Total particulates can be further mitigated by reducing the inherent ash content in bio-oil. Comparative burner tests with diesel reveal much lower emissions for this fuel at most of the operating points considered. This is due to the fully distillable nature, better atomization and improved spray ignition characteristics associated with diesel. Because of its superior volatility, diesel can also operate over a much wider range of primary air and atomizing air flow rates compared to bio-oil.

Denna rapport baseras på experimentella försök där det undersökts hur pelletdensiteten påverkar utsläpp av kolmonoxid (CO) och stoft vid småskalig förbränning. I en testpanna med ansluten pelletsbrännare testades tre densiteter: låg, mellan och hög. Testerna uppdelades i tre faser i form av uppstart, kontinuerlig drift och släckning. Tre repetitioner gjordes på varje fas och för varje bränsle med undantag av släckning där endast en mätning per bränsle gjordes. Resultatet visade generellt en tydlig skillnad i CO-emission. Oberoende av densitet var CO-emissionerna mycket större vid uppstart och släckning än vid kontinuerlig drift. Avseende densitet gavs ett entydigt resultat där den lägsta pelletdensiteten gav högre stoftemissioner under alla driftsförhållanden. Skillnaden mellan de två pelletssorterna av högre densitet är däremot inte signifikant. För CO-emissioner sågs vid uppstartsfasen en tydlig trend mellan minskad pelletdensitet och ökade CO-emissioner. Vid kontinuerlig drift sågs emellertid det omvända: hög densitet gav högre CO-emissioner, varvid mellandensiteten gav något lägre CO-emissioner och låg densitet gav lägst CO-emissioner. Om skillnaden är uteslutande beroende på pelletdensiteten är svårt att säga. Ytterligare försök rekommenderas för att avgöra den exakta inverkan av pelletarnas densitet.

Wildfires and prescribed burns are important sources of air pollutants and can significantly affect air quality at urban locations across large regions. Air quality forecasts generated with Eulerian numerical models can provide valuable information to environmental regulators and land managers about the potential impacts of fires. However, the ability of these models to simulate concentrated fire-related smoke plumes is limited since they lack fire specific physics and chemistry. A sub-grid plume model was coupled with a chemical transport model to address this issue. The modeling framework centered on a fire plume transport model, Daysmoke, and the Community Multiscale Air Quality modeling system (CMAQ) is used to simulate several fire episodes. The studied episodes were used to understand uncertainty in fire emissions and its effect on plume transport modeling and to verify the coupled system’s performance. The system was also used to simulate prescribed burning scenarios with five varying parameters: age of fuel bed, season, acreage, ignition type, and time of the day. Key findings relating to burn efficiency and emission reduction on future prescribed burnings will be discussed.

Quantifying the emissions due to the charging of the batteries of the plug-in hybrid electricity school bus operated by the Austin Independent School District (AISD) is the focus of this work. This plug-in hybrid school bus is one of only nineteen in the country, and was manufactured by IC Corporation. This hybrid school bus reduces fuel consumption and CO₂, NOx and PM emissions in comparison with conventional diesel buses. This reduction is good for the health of the children who take the school bus everyday as they are part of the population the most at risk because their lungs are still developing. In order to evaluate CO₂, NOx and PM emissions, measurements of the charging of the batteries versus time were taken for the two charging periods each day during the months of April and May 2009. These measurements were repeated in October 2009 when the route was changed for the new school year: 2009-2010. An analysis of the Austin electricity mix that provides electricity to the bus center was done hour by hour to evaluate the emissions, calculated on a g/mile basis. Measurements of the vehicle speed versus time and altitude were taken during February 2010 in order to explain some of the differences observed between the two routes. Different parameters were studied to analyze the results. The first parameter studied was the impact of the season on the emissions. The second parameter studied was the impact of the route and its characteristics (road length, traffic, grade, etc.). The last parameter studied was the difference between two methods used to evaluate the emissions using the electricity mix data. These two methods are different but each of them brings something to the analysis of the results. / text

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