Models for assessment of NOx emissions from turbofan engine of aircraft
Bibliographic record
Abstract
1. ICAO Environmental Report 2013. Aviation and Climate Change [Electronic reference]. – 2012. – Access mode: http://cfapp.icao.int/Environmental-Report-2013. 2. Enviro. [Electronic reference]. – 2011. – Access mode: http://www.enviro.aero/Content/Upload/File/BeginnersGuide_Biofuels_Web>. 3. Fraport Environmental Statement 2014 Including the Environmental Program until 2017. – Fraport AG, 2015. – 24–30 p. 4. Zaporozhets O. Estimation of emissions and concentration of air pollutants inside the airport / O. Zaporozhets, V. Strakholes, V.I. Tokarev. – State and perspective of activities on environment protection in civil aviation – Moscow: GosNIGA, 1991. – P. 18–20 (in Russian). 5. ICAO data bank of aircraft engine emissions. – Montreal: ICAO. Doc. 9646 – AN/943, 1995. – 152 p. 6. Synylo K. Aircraft emission estimation under operational conditions in the airport area / K. Synylo // Proceedings of the NAU. – Vol. 62. – No 1. – 2015 – P. 70–79. 7. Airport Air Quality Guidance Manual. – Montreal: ICAO. – Doc. 9889, 2007. – 114 p. 8. SAE, Procedure for the Calculation of Aircraft Emissions. SAE Committee A-21, Report SAE AIR 5715, 2009. 9. Aloysius S. Deliverable D2 – Definition and Justification Document / S. Aloysius, L. Wrobel. CS-GA-2009-255674-TURBOGAS – TURBOGAS, 2010. 10. Synylo K. NOx emission model of turbofan engine / K. Synylo, N. Duchene // International Journal of Sustainable Aviation. – 2014. – Vol.1. – P. 72–84. 11. Lee J.J. Modeling Aviation's Global Emissions, Uncertainty Analysis, and Applications to Policy: Diss … Cand Eng. Science: Aeronautics and Astronautics / Lee J.J.; Dept., Mass. Inst. of Technology – Cambridge, MA, 2005. – P. 381–395. 12. Abschlussbericht zum Kooperationsvertrag zwischen Forschungszentrum Karlsruhe GmbH – IMK-IFU und Deutscher Lufthansa AG – Umweltkonzepte Konzern "Messung von Triebwerksemissionen zur Untersuchung von Alterungsprozessen mit Hilfe optischer Messverfahren", 2007. 13. Synylo K. NOx Emission model of turbofan engine / K.Synylo, N. Duchene // International Journal of Sustainable Aviation. – 2014. – 1(1). – P. 72–84. 14. Soares C. Gas Turbine: A Handbook of Air, Land and Sea Applications. 3rd ed. / C. Soares. – London: Elsevier Science & Technology, 2008. – P. 397. 15. Eyers Chris. Responses to actions related to the ADAECAM method / Chris Eyers, QinetiQ – CAEP/8. – 2008. 16. NOx emission indices of subsonic longrange jet aircraft at cruise altitude: in-situ measurements and predictions / P. Schulte, H. Schläger, H. Ziereis, U. Schumann // Journal of Geophysical Research. – 1997. – (102). – 17.– P. 21.431–22.442. 17. Federal Office of Civil Aviation, Swiss Confederation. ADAECAM Validation Report. – 2007 18. Duchêne N. Deliverable D1 – Validation Test Report, CS-GA-2009-255674-TURBOGAS / N. Duchêne, K. Synylo, S. Carlier-Haouzi // TURBOGAS Deliverable. – 2011. – 83 p. 19. Synylo K. P3T3 NOX MODEL OF TURBOFAN ENGINE / K.Synylo, Nicolas Duchene // International Symposium on Sustainable Aviation:Proceeding Book of ISSA (Rome. – July 9–11, 2018). – Rome, 2018. – P. 137–140. // ISBN 978-605-68640.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".