Probabilistic assessment of fleet-level noise impacts of projected technology improvements. (October 2016)

• Record Type: Journal Article
• Authors: Bernardo, José E.; Kirby, Michelle R.; Mavris, Dimitri
• Is Part Of: Journal of air transport management. Volume 57(2016)
• Page Start: 26
• Page End: 42
• Publication Date: 2016-10
• Subjects: Airport noise -- Fleet noise -- Fleet analysis -- Technology impacts; DNL -- Day-Night Average Level -- LSA -- Large Single-Aisle -- LTA -- Large Twin-Aisle -- RJ -- Regional Jet -- rx, y -- Correlation between variables x, y -- rx, z -- Correlation between variable x and response z -- ry, z -- Correlation between variable y and response z -- Rx, y, z -- Multiple correlation between variables x, y and response z -- SSA -- Small Single-Aisle -- STA -- Small Twin-Aisle -- VLA -- Very Large Aircraft; Airlines -- Management -- Periodicals; Aeronautics, Commercial -- Management -- Periodicals; 387.7068
• DOI: 10.1016/j.jairtraman.2016.07.006
• Languages: English
• ISSNs: 0969-6997

Abstract

Abstract: Demand projections for civil aviation have forecast increases in operations in future decades. Increases in demand are beneficial to the growth and advancement of the aviation industry, but also come with the threat of significant increase in environmental impacts. In response, the industry is focusing on programs to develop technologies for reductions in fuel burn, NOx emissions, and noise. While aircraft-level impacts are an obvious metric of success, it is difficult to make informed robust technology investment decisions with respect to noise without understanding the fleet-level impacts. Fleet-level predictions of noise for technology explorations are especially complicated because it is computationally expensive, highly combinatorial, and airport-specific. Recently, rapid automated airport noise models have been developed, which can be simulated using Design of Experiments (DOE). The results of these simulations are used to generate surrogate models for airport noise contour area, which can be summed to yield a fleet-level impact. These models make use of simplifying assumptions to provide estimates of airport-level noise that are substantially cheaper to compute. They can be used to perform parametric trade-off analyses in conjunction with the equivalency assumption. Equivalency asserts that environmental impacts of a technology infused aircraft can be represented by scaled operations of the baseline aircraft in the same class. This simple assumption allows for the modeling of technology and market penetration factors under the same units: operations. This research uses surrogate models in conjunction with the equivalency assumption to examine two potential technology scenarios in a target forecast year, simulating technology and market performance factors to identify vehicle classes that could have the greatest impact in reducing contour area. Results show that technology and market performance of future notional Small Single Aisle and Large Single Aisle vehicle aircraft have the highest positive correlations with potential reductions in contour area. Highlights: Modeled airport operations through generic types representing major U.S. airports. Generated surrogate models for DNL 65 dB contour area at each airport type. Applied distributions on technology and market performance, mapped with equivalency. Equivalency-tech. aircraft operation = multiple*(1 operation of base aircraft). Simulated models to provide correlations to aircraft tech. and market performance.