The Aircraft nvPM Mission Emissions Estimation Methodology, Version 2 (MEEM2)

<div class="section abstract"><div class="htmlview paragraph">The nvPM Mission Emissions Estimation Methodology (MEEM) was previously developed to estimate nonvolatile particulate matter (nvPM) emissions from ground certification data using the publicly available data from the International Civil Aviation Organization (ICAO) Aircraft Engine Emissions Databank (EEDB). In order to potentially improve the accuracy of nvPM emissions estimation and to enhance its usefulness to modelers, the method was revised to make use of fuel flow correlations and similar altitude corrections as used in the Boeing Fuel Flow Method 2 (BFFM2). The new fuel flow approach allows for improved trade-off-type assessments between nvPM and gaseous emissions—i.e., less relative uncertainties when assessing results from the two methods. Like the former MEEM, the new method, MEEM2, can be used with just publicly available data such as nvPM emissions indices (EI) from the EEDB as well as predicted fuel flows from publicly available aircraft performance models. MEEM2 has been validated against proprietary original equipment manufacturer (OEM) data and methods, helping to understand prediction uncertainties of nvPM emissions, thus supporting environmental impact assessments, including those related to climate impacts from commercial aviation’s non-CO<sub>2</sub> components as well as the use of sustainable aviation fuels (SAF).</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-10-13
DOI
https://doi.org/10.4271/2025-01-6000
Primary Topic
Advanced Aircraft Design and Technologies
Type
article
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article

The Aircraft nvPM Mission Emissions Estimation Methodology, Version 2 (MEEM2)

Rudolph Dudebout, Denise Ahrens, Richard C. Miake‐Lye, Yoann Méry et al.
SAE technical papers on CD-ROM/SAE technical paper series
Advanced Aircraft Design and Technologies
article

The Aircraft nvPM Mission Emissions Estimation Methodology, Version 2 (MEEM2)

Rudolph Dudebout, Denise Ahrens, Richard C. Miake‐Lye, Yoann Méry, Brian Kim
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">The nvPM Mission Emissions Estimation Methodology (MEEM) was previously developed to estimate nonvolatile particulate matter (nvPM) emissions from ground certification data using the publicly available data from the International Civil Aviation Organization (ICAO) Aircraft Engine Emissions Databank (EEDB). In order to potentially improve the accuracy of nvPM emissions estimation and to enhance its usefulness to modelers, the method was revised to make use of fuel flow correlations and similar altitude corrections as used in the Boeing Fuel Flow Method 2 (BFFM2). The new fuel flow approach allows for improved trade-off-type assessments between nvPM and gaseous emissions—i.e., less relative uncertainties when assessing results from the two methods. Like the former MEEM, the new method, MEEM2, can be used with just publicly available data such as nvPM emissions indices (EI) from the EEDB as well as predicted fuel flows from publicly available aircraft performance models. MEEM2 has been validated against proprietary original equipment manufacturer (OEM) data and methods, helping to understand prediction uncertainties of nvPM emissions, thus supporting environmental impact assessments, including those related to climate impacts from commercial aviation’s non-CO<sub>2</sub> components as well as the use of sustainable aviation fuels (SAF).</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Rolls-Royce (Germany) (DE), Whitney Museum of American Art (US), Safran (United Kingdom) (GB), Aerodyne Research (US), Pratt & Whitney (United States), Honeywell (United States) (US)
Openalex Percentile: Top 73%
Advanced Aircraft Design and Technologies
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The Aircraft nvPM Mission Emissions Estimation Methodology, Version 2 (MEEM2) — Rudolph Dudebout, Denise Ahrens, et al. · SAE technical papers on CD-ROM/SAE technical paper series (2025) | TGRS Research Map | TGRS