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Enregistrement W6966854120 · doi:10.4224/40001409

Civil Aviation Alternate Fuels Contrails and Emissions from high-Blend Biofuels (CAAFCEB): contrails analysis

2018· report· en· W6966854120 sur OpenAlexafffundvenueabout

Notice bibliographique

RevueNPARC · 2018
Typereport
Langueen
Domaine
Thématique
Établissements canadiensNational Research Council Canada
Organismes subventionnairesNational Research Council CanadaTransport Canada
Mots-clésJet fuelCruiseAviationCivil aviationCombustionFuel efficiencyFlight planningNational laboratory

Résumé

récupéré en direct d'OpenAlex

Over the period October 2017 to March 2018, the project Civil Aviation Alternate Fuels Contrails and Emissions with high Blend Biojet (CAAFCEB) was undertaken by the NRC, under sponsorship of Environment & Climate Change Canada, Transport Canada, Lanza Tech and the NRC. The NRC Falcon undertook flight operations on Jet A1, JP-5 (in particular, fuel ‘A-3’ of the North American Jet Fuel Combustion Program, NJFCP, and LanzaTech ATJ bio-jet. High altitude cruising flight contrails at typical air transport cruise Mach Number of 0.8 (M0.8) were sought for each flight, with engines at maximum continuous thrust (MCT). In cruise, contrails and emissions data was measured by the NRC CT-133 research aircraft, out to 50 km (4 minutes age) length contrails. This was sufficient length to identify the state of contrails, persistent or sublimating, as dictated by background atmospheric conditions – both states were encountered upon CAAFCEB flights. CT-133 measurements consisted of contrail ice particle size and number, particulate and gaseous emissions from the Falcon in cruise. The LT PNNL fuel was blended a priori by the NRC, with 8% Exxon Mobil Solvesso 150 ND mono-aromatics, in order to condition the fuel satisfactorily for the Falcon fuel system. Four LT PNNL fuel flights and two JP-5 flights were undertaken. Fuel samples were taken, from the port wing-tank (Jet A1) and the starboard engine fuel feeder tank (experimental fuel, either LT PNNL ATJ, or A-3 JP-5), for each CAAFCEB flight. Prior to the M0.8 cruising flight contrails on baseline and test fuels sequentially, M0.6 Jet A1 contrails were near/at top-of-climb, at contrail lengths of 0.3-3 km (ages of 0.03-0.30 minutes) at approximately 60% of the fuel-flow of M0.8 contrails. Particulate and gaseous emissions were measured, simultaneously with contrail measurements. Top-of-climb emissions were also measured in dry air (prior to the formation of contrails). All contrails were generated by the NRC Falcon, with the same engines. Individual engine emissions and ice particle formation were not measured. Rather, the wake and contrail cross-sections were measured holistically, over the full vertical and lateral extents. A number of lateral/vertical transects, typically nine, were concatenated in the line-of-flight (contrail axis) direction to form re-constructed contrails. Aggregated power-law parameter identification has been conducted to account for the effects of varying atmospheric background conditions (of RH over ice, RH lapse rate and air temperature) upon contrail ice particle numbers, for LT PNNL and Jet A1 fuels. These identifications have been used to adjust contrail ice particle number and size to the same reference atmospheric conditions, for each fuel type. The optical properties of extinction and effective particle size (properties that govern the global warming effects of contrails, by the processes of radiative forcing). Compared to Jet A1, particulate emissions from the LT PNNL fuel were reduced 80-90%: aerosols (>10 nano-m) by 82%, ultrafine particles (>2.5 nano-m) by 90% and non-volatiles (>2.5 nano-m) by 81%. Although greatly reduced in number, soot (essentially, non-volatile) particles were sufficient in number nevertheless, for the emissions environment to be categorised, for contrail production, as soot-rich. Contrail ice particle production was lessened proportionately to the reduction in soot particle number. Ice particle sizes did not vary significantly between fuels. Addressing radiative forcing characteristics, a new parameter has been introduced, namely the Apparent Emission Index of Extinction (AEIEX), defined as the lateral integrand of optical depth of a contrail cross-section, when fully measured at any longitudinal point of its length. This is from the CT-133 data, under the assumption of particle sphericity (measured data implies the development of non-sphericity >20 km contrail length), for ice particles >0.5μm in size. Data shows significant reduction in AEIEX for LT PNNL, c.f. Jet A1. Therefore, the present data are evidence of the desirability to holistically measure AEIEX for the complete contrail ice particle spectra, i.e. all ice particle sizes and shapes. This can be achieved by equipping the CT-133 with the ECCC extinction probe, for additional flights.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,038

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,030
Tête enseignante GPT0,297
Écart entre enseignants0,266 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission4
Résumé présentoui

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