Improvements on aircraft engine emission and emission inventory asesessment inside the airport area

Zaporozhets, Oleksandr; Synylo, Kateryna

doi:10.1016/j.energy.2017.07.178

Cited by 37 publications

(20 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A gradient of change of the factor Q NOx at T A < T ALIM is also large enough (with Т A growth, a factor Q NOx monotonically increases). In case of change of engine automatic control mode at T A > T ALIM , the propellant consumption drops with the growth of temperature; therefore, monotonic character for Q NOx dependence disappears and at T A >30°C, the factor Q NOx decreases [17,18].…”

Section: Emission Modelmentioning

confidence: 97%

“…The dependences of engine thermodynamic parameters and EE index for NOx (assessed in g/kgfuel) and factor Q (assessed in g/sec) for the aircraft engine D-36 (installed on Yakovlev-42 and on Antonov-74, -148, and -158 aircrafts) are shown in Figure 7 as the functions from ambient temperature ТА (basic engine control law for D-36 provides the constant value of compressor pressure ratio π∑* in a broad range of ambient temperatures). Values of an emission index ЕI NOx vary up to 50% in relation to value at International standard atmosphere conditions inside the range of ambient temperatures between À30 and + 30°C [17,18].…”

Section: Emission Modelmentioning

confidence: 99%

“…Based on the obtained research outcomes of aircraft engine emission derivation, due to meteorological factor influences, the model was developed to recalculate the emission indices for ISA conditions EI iISA into actual meteorological conditions EI it [17,18]: Environmental Impact of Aviation and Sustainable Solutions…”

Section: Emission Modelmentioning

confidence: 99%

“…Q-emission rate is provided by engine emission model and includes influence operational and meteorological conditions [17][18][19].…”

mentioning

confidence: 99%

See 3 more Smart Citations

Modeling of Air Pollution at Airports

Zaporozhets¹,

Synylo²

2020

Environmental Impact of Aviation and Sustainable Solutions

Self Cite

View full text Add to dashboard Cite

Although airports provide several benefits for our society, communities in the vicinity of airports are subjected to the deterioration of air quality. Currently, the basic objects of attention are NOx and ultrafine PM due to airport-related emissions. Considered environmental problems are intensified in connection with increasing air traffic, rising tensions of airports expansion and growing cities closer and closer each other, and accordingly growing public concern with air quality around the airport. Aircraft are the dominant and special source of emission and air pollution at airports in most cases under consideration. So, to evaluate the aircraft contribution in LAQ assessment of the airports accurately, it is important to take in mind few features of the aircraft during their landing-takeoff cycle (LTO), which define emission and dispersion parameters of the considered source. The complex model PolEmiCa allows the calculation of the inventory and dispersion parameters of the aircraft engine emissions during the LTO cycles of the aircraft in the airport area. But a clear quantification of aircraft emission contribution to total air pollution is the actual task for development of cost-effective strategies to improve local air quality according to the vicinity of the airport, and to meet regulatory requirements.

show abstract

Section: Emission Modelmentioning

confidence: 97%

Section: Emission Modelmentioning

confidence: 99%

Section: Emission Modelmentioning

confidence: 99%

“…Q-emission rate is provided by engine emission model and includes influence operational and meteorological conditions [17][18][19].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Modeling of Air Pollution at Airports

Zaporozhets¹,

Synylo²

2020

Environmental Impact of Aviation and Sustainable Solutions

Self Cite

View full text Add to dashboard Cite

show abstract

“…The LTO cycle is based on times in mode data during high activity periods at major airports for four modes of engine operation: taxi/idle, takeoff, climb-out, and approach [4]. LTO operations have a significant contribution (up to 70%) to an airport's pollutant emission inventory [3,27,28]. Other sources of emissions associated with aircraft movements considered in the study include the onboard auxiliary power units (APU) and aerospace ground support equipment (GSE).…”

Section: Airport Emissions Inventory Evaluationmentioning

confidence: 99%

A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method

Tian

Huang

et al. 2019

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

In order to reduce the air pollution impacts by aircraft operations around airports, a fast and accurate prediction of air quality related to aircraft operations is an essential prerequisite. This article proposes a new framework with a combination of the standard assessment procedure and machine learning methods for fast and accurate prediction of air quality in airports. Instead of taking some specific pollutant as concerned metric, we introduce the air quality index (AQI) for the first time to evaluate the air quality in airports. Then, following the standard assessment procedure proposed by International Civil Aviation Organization (ICAO), the airports AQIs in different scenarios are classified with consideration of the airport configuration, actual flight operations, aircraft performance, and related meteorological data. Taking the AQI classification results as sample data, several popular supervised learning methods are investigated for accurately predicting air quality in airports. The numerical tests implicate that the accuracy rate of prediction could reach more than 95% with only 0.022 sec; the proposed framework and the results could be used as the foundation for improving air quality impacts around airports.

show abstract