Emission. Emission. Emissions are the amount of pollutant(s) a source puts into the air, usually over a fixed time. Units: mass/time Emissions can vary considerably Variability makes air quality management more challenging Time Location Pollutant. }. Source activity Economic health
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Emission • Emissions are the amount of pollutant(s) a source puts into the air, usually over a fixed time. Units: mass/time • Emissions can vary considerably • Variability makes air quality management more challenging • Time • Location • Pollutant } Source activity Economic health Population Climate Controls Traffic Examplesof direct influences on emissionsources } Emission variability directly influencing air quality
Classification • There are several ways to categorize emissions. We will examine a few of the more common ways to classify emissions: • By pollutant • By source type • By activity
Classification • Emissions classification by source type • Stationary- sources with a fixed location • Point: usually a large source, often a stack • Area: sources that are addressed as a group rather than individually • Mobile- sources that move • On-road: highway capable vehicles • Non-road: non-highway vehicles • Stationary and mobile sources require very different control strategies. It is important to understand how much originates from such sources.
Pointsource Mobile source Areasource Theory: Classification • Emissions classification by source type • Stationary sources • Mobile sources Stationary Mobile Examples: power plant, chemical plant, etc. Examples: on-road: gas, diesel; off-road: marine, air, agricultural Examples: gas stations, dry cleaners, fireplaces, lawn mowers, tanks farms, etc.
Classification • Describing emissions by source type is also useful for mathematical modeling Gaussian plume model(e.g. ISC-AERMOD) Pointsource Roadway models(e.g. CALINE, CAL3QHC, MOBILE6) Mobile source Flexible source models (e.g. CALPUFF) Areasource
Classification • To make things more complicated, not all emissions are easy to account for and estimate. • Fugitive emissions: Pollutant releases from an unconfined source. Example:-- Windblown dust from a construction site • Accidental emissions: Unintended releases due to accidents, or poor operation and maintenance. Example:-- Evaporation of spilled fuel at a gas station • Natural emissions: Releases from natural processes. Examples:-- Trees release VOCs -- Ocean spray releases salt particles
Classification • Fugitive sources often contribute to ambient particulate matter. Common problem activities: • Construction sites • Agriculture • Unpaved roads 2000 U.S. PM 2.5 Emissions Source: Bureau of Transportation Statistics http://www.bts.gov/publications/national_transportation_statistics/2002/html/table_04_44.html
Emissions Inventory • An emissions inventory is a detailed listing of pollutants emitted from specific sources in a defined area. • A starting point for pollution control is quantifying the emissions being released into the atmosphere. • Therefore, an emissions inventory is essential to provide a current, accurate, and comprehensive listing of air pollution emissions within a specific area over a specified period of time. Source: USEPA, 2003, Principles and Practices of Air Pollution Control, Student Manual. Ch. 8, Emissions Inventory
Purposes of an EmissionsInventory • Pollutant Identification • Effect Studies • Emission Reactivity • Compliance • Policy Development • Ambient Air Monitoring • Agency Requirements Source: USEPA, 2003, Principles and Practices of Air Pollution Control, Student Manual. Ch. 8, Emissions Inventory
Mass balance • A simple, but useful, accounting tool for pollutants • Emissions are determined based onthe amount of material that enters a process, theamount that leaves the process, and the amountshipped as part of the product itself. • A simple way to estimate emissions, particularly for fugitive releases mass movinginto a system mass consumed orproduced by reactions • • • mass movingout of a system change in mass over some time
Mass balance • A benzene storage tank has the following data. Fugitive losses are suspected from the tank, but cannot be measured easily. Use a mass balance. Tank capacity = 10,000 kg (constant level) Mass in from chemical plant = 1000 kg/day Mass out to transport vehicle tanks = 998 kg/day = 0(no chemicalreactions in tank) = 1000 kg/day = 0(tank mass is constant) • • • = 998 kg/day + fugitive loss 0 = 1000 - (998 + fugitive) + 0 fugitive loss = 2 kg/day benzene
Fuel analysis • Emissions are determined based on theapplication of conservation laws. The presence of certainelements in fuels may be used to predict their presencein emission streams. For example, SO2 emissions fromoil combustion can be calculated based on theconcentration of sulfur in the oil. This approach assumescomplete conversion of sulfur to SO2. Therefore, forevery pound of sulfur burned (molecular weight = 32g),two pounds of SO2 are emitted (molecular weight = 64g). Source: USEPA, 2003, Principles and Practices of Air Pollution Control, Student Manual. Ch. 8, Emissions Inventory
Process modeling • Process modeling • Attempts to describe emissions as a function of relevant process information • Models are process specific
Process modeling – MOBILE6 • MOBILE6 is a model for predicting emissions from vehicles. Capabilities: • Various pollutants: CO, CO2, NOx, PM, toxics, hydrocarbons • Various vehicle types: cars, trucks, motorcycles • Various operating conditions: speed, temperature, etc. • Various fuel types: gasoline, diesel
Estimation • TANKS is software to model VOC emissions from storage tanks, based on AP-42 • Features • Uses chemical, meteorological, and tank design information • Database includes 100 chemicals, met data for 240 cities • Can calculate individual chemical emissions from known mixtures
Emission Factor • Emission Factor Modeling • Emission factors relate the air pollution released by a source activity to the magnitude of that activity • Emission factors are the best estimate of the most likely values based on literature reviews • Factors are source activity specific activity rate control efficiency (0 to 1) emission emission factor(obtained from AP-42)
Emission Factor • A lime manufacturing facility using a coal-fired rotary kiln has a PM10 emission factor of 22 kg/Mg, as found in AP 42 (Chapter 11, section 17: Lime Manufacturing). The emission factor has a D rating. • Translation: • For every 1000 kg of lime processed, 22 kg of PM10 will be created (final emissions depend on whether control technologies are used on the airstream) • However, the D rating suggests this emission factor has a high degree of uncertainty • Use the numbers carefully
Example Consider an industrial boiler that burns 90,000 liters of distillate oil per day. In Section 1.3 of AP-42, "Fuel Oil Combustion", the CO emission factor for industrial boilers burning distillate oil is 0.6 kilograms (kg) CO per 103 liters of oil burned. Then CO emissions = CO emission factor x distillate oil burned/day = 0.6 x 90 = 54 kg/day Source: AP-42, Introduction, http://www.epa.gov/ttn/chief/ap42/c00s00.pdf
Suppose a sulfuric acid (H2SO4) plant produces 200 Mg of 100 percent H2SO4 per day by converting sulfur dioxide (SO2) into sulfur trioxide (SO3) at 97.5 percent efficiency. In Section 8.10, "Sulfuric Acid", the SO2 emission factors are listed according to SO2-to-SO3 conversion efficiencies in whole numbers. The reader is directed by footnote to an interpolation formula that may be used to obtain the emission factor for 97.5 percent SO2-to-SO3 conversion. The emission factor for kg SO2 /Mg 100% H2SO4 = 682 - [(6.82)(% SO2-to-SO3 conversion)] = 682 - [6.82)(97.5)] = 682 - 665 = 17 kg In the production of 200 Mg of 100 percent H2SO4 per day, SO2 emissions are calculated thus: SO2 emissions = 17 kg SO2 emissions/Mg 100 percent H2SO4 x 200 Mg 100 percent H2SO4/day = 3400 kg/day Source: AP-42, Introduction, http://www.epa.gov/ttn/chief/ap42/c00s00.pdf
Emission Factor Ratings • Each AP-42 emission factor is given a rating from A through E, with A being the best. A factor’s rating is a general indication of the reliability, or robustness, of that factor. • Two steps are involved in factor rating determination. • The first step is an appraisal of data quality, the reliability of the basic emission data that will be used to develop the factor. • The second step is an appraisal of the ability of the factor to stand as a national annual average emission factor for that source activity. Source: AP-42, Introduction, http://www.epa.gov/ttn/chief/ap42/c00s00.pdf
Data quality • Test data quality is rated A through D, and ratings are thus assigned: • A = Tests are performed by a sound methodology and are reported in enough detail for adequate validation. • B = Tests are performed by a generally sound methodology, but lacking enough detail for adequate validation. • C = Tests are based on an unproven or new methodology, or are lacking a significant amount of background information. • D = Tests are based on a generally unacceptable method, but the method may provide an order-of-magnitude value for the source. Source: AP-42, Introduction, http://www.epa.gov/ttn/chief/ap42/c00s00.pdf
AP-42 emission factor quality ratings are thus assigned: A — Excellent. Factor is developed from A- and B-rated source test data taken from many randomly chosen facilities in the industry population. The source category population is sufficiently specific to minimize variability. B — Above average. Factor is developed from A- or B-rated test data from a "reasonable number" of facilities. Although no specific bias is evident, it is not clear if the facilities tested represent a random sample of the industry. As with an A rating, the source category population is sufficiently specific to minimize variability. C — Average. Factor is developed from A-, B-, and/or C-rated test data from a reasonable number of facilities. Although no specific bias is evident, it is not clear if the facilities tested represent a random sample of the industry. As with the A rating, the source category population is sufficiently specific to minimize variability. D — Below average. Factor is developed from A-, B- and/or C-rated test data from a small number of facilities, and there may be reason to suspect that these facilities do not represent a random sample of the industry. There also may be evidence of variability within the source population. E — Poor. Factor is developed from C- and D-rated test data, and there may be reason to suspect that the facilities tested do not represent a random sample of the industry. There also may be evidence of variability within the source category population.
AP-42 • Published emission factors are available in numerous sources. The US EPA’s AP-42 series is one of these publications and is available electronically at: http://www.epa.gov/ttn/chief/. • Emission factors in AP-42 are neither EPA recommended emission limits nor standards. • Emission factor ratings in AP-42 provide indications of the robustness, or appropriateness, of emission factors for estimating average emissions for a source activity. Usually, data are insufficient to indicate the influence of various process parameters such as temperature and reactant concentrations.
Taiwan Emission Data System (TEDS) • 環保署於民國79~81年期間委託美國凱瑟工程公司,執行「北中南高地區空氣污染物排放總量調查及減量規劃」,亦以民國77年為基準年,計畫中對於排放量推估進行更詳細之探討及解析,將排放量之解析度以1平方公里之方式呈現,於81年完成了第一版台灣地區排放量資料庫(Taiwan Emission Data System),簡稱為[TEDS1.0版]資料庫。 • 為掌握全國實際排放量之變動,每隔幾年就進行基準年排放量的大幅更新推估,並據以修正逐年排放趨勢。 • 目前最新版本為TEDS7.1版,詳細資料請見:http://www.ctci.com.tw/air-ei/new_main2-0.htm
Further Learning • Emissions Measurement Center, http://www.epa.gov/ttn/emc/ • Air Pollution Emissions Overviewhttp://www.epa.gov/oar/oaqps/emissns.html • National Emission Inventory (NEI) Database for Criteria and Hazardous Air Pollutants, http://www.epa.gov/ttn/chief/net/ • Scorecard, an online tool to investigate pollution in your neighborhood, http://www.scorecard.org • Emission models, http://www.epa.gov/ttn/chief/emch/software/index.html • Compilation of Air Pollutant Emission Factors, Volume 1: Stationary Point and Area Sources, AP 42, http://www.epa.gov/ttn/chief/ap42/index.html • AirData, online access to emissions at the county level and up, http://www.epa.gov/air/data/ • A Guide to Mid-Atlantic Regional Air Quality, Part IV: Pollution Sources, pp. 47-58. http://www.epa.gov/ttn/chief/ap42/oldeditions.html
Reference Methods for emission measurement • The original U.S. EPA Reference Methods (FRM) 1 through 8, first promulgated in 1971, were “wet chemistry” methods applied to sampling and analyzing particulate matter, and nitrogen oxides. • Each Federal Reference Method governs the procedures, equipment, and sampling of source emissions: • FRM 1 – Point Locations • FRM 2 – Gas Flow Rate • FRM 3 – Gas Molecular Weight • FRM 4 – Gas Moisture Content • FRM 5 – Particulate Matter • FRM 6 – Sulfur Dioxide • FRM 7 – Nitrogen Oxides • FRM 8 – Sulfuric Acid Mist Source: USEPA, 2003, Principles and Practices of Air Pollution Control, Student Manual. Ch. 7, Measurement of pollutant emission
Variation of gas velocity in a rectangular duct and Method 1 traverse points Since the gas velocity and particulate concentration may vary from point to point, EPA requires that sampling be performed over the cross-section, not at just one point. This requires the application of Method 1 criteria which lays out the grid of points at which one is to obtain a sample. In this figure, an imaginary grid is superimposed on the rectangular duct. When performing Method 5, sampling is conducted at each point of the grid to obtain an area-averaged total sample. Source: APTI 450
煙道中乾燥廢氣的分子量可用下式計算 Md = 0.440 (%C02) + 0.320 (%02) + 0.280 (%N2 + %CO) 過去Orsat分析儀常用於決定%C02, %02, 和 %CO。而%N2之值則為100- %C02 - %02 - %CO。 Orsat? Requires antiquated equipment, mildly hazardous materials, and time… Today, the Orsat method has been largely supplanted by the use of analyzers. Method 3Aallows the use of automated, instrumented techniques to determine the percentage of component flue gases. The instruments tend to be more accurate than the Orsat method since the ambiguities associated with proper technique are largely removed. Source: USEPA, 1995, APTI 450 Source Sampling for Particulate Pollutants, student manual.
Method 3A • For the determination of 02and CO2only when specified within the regulations • A sample is continuously extracted from the effluent stream. A portion of the sample stream is sent to an instrumental analyzer(s) for the determination of 02 and CO2concentrations. • CO2 Analyzers • Nondispersive infra-red • Polarography • 02 Analyzers • Paramagnetism • Polarography • Electrocatalysis
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