Abstract

Climate change and environmental degradation are the greatest challenges of this century. Governments and various international organizations are aiming at the reduction and stabilization of emission level that does not endanger the environment. International Civil Aviation Organisation (ICAO) is fully engaged to achieve a global solution to address emission from the civil aviation across the globe. Since the usage of civil aviation is increasing at a rapid rate due to various economical and technological reasons, a clear understanding of the factors affecting the aircraft fuel consumption and its CO2 emission is essential. The primary objective is to estimate the CO2 emission from the aircrafts, which is done by estimating the fuel consumption as CO2 emission is directly proportional to the fuel consumption. The data regarding the aircraft fuel consumption and its influencing factors, sector details and trip details are collected from the various databases of an Airline and integrated it. The work has been accomplished with a detailed study of the factors affecting fuel consumption through regression analysis using MINITAB and thereby forecasted the fuel consumption. The validation has been carried out using ANOVA, Durbin-Watson statistics and Mallow’s Cp Statistics. The CO2 emission has been predicted using the forecasted fuel consumption. The work could be extended to find the optimal values for the factors affecting the fuel consumption so that the CO2 emission could be minimized. User-friendly software could be developed for the performance engineers to monitor and take managerial decisions based on the fuel consumption and the CO2 emission.