The Impact of Electric Train Transportation on CO 2 Emission Reduction: The Case of Addis Ababa-Djibouti Electric Railway Line

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Addis Ababa University


On this research paper the (CO 2 ) emission reduction from the operation of Addis Ababa-Djibouti electric railway line project of replaced truck trailer is studied, discussed and quantified. Emission reduction mechanism is applicable by one of globally accepted environmentally friendly, zero emission development option of the electric train railway project. Due to the application of this life saving project it is expected that a great reduction in motorized vehicles from road transport in the ratio of 1 electric train = 50 long trucks that consumes different fuel types which helps to emit carbon dioxide (CO 2 ) and other toxic gases. The mode shift effect procedure and method applied to estimate the energy and (CO 2 ) emission avoided by the implementation of this project. The procedure developed is determined 7.707 M ton of CO2e will be saved emissions in the project year of 18 years from (2017-2035) which is applied to Addis Ababa-Djibouti electric railway and the saved energy is 1.10E+11 KWH (384 million GJ energy, with much 95% of this energy is corresponding to non-renewable energy. Each fright (container, and bulk products) kilometer will result in avoid emissions(gCO 2 )and avoided non-renewable energy consumption of Ethiopia (specifically on the constructed railway line of The Addis Ababa-Djibouti corridor which is the major import and export corridor of the Country handling more than 90% of the foreign trade. In addition, on the project year Ethiopian truck trailer will consume a total of 2,613,308,212 liter diesel fuel with its direct tail emission of 6.3190 MT CO 2 e if vhicle were used. The life cycle analysis GHG gases amount total of 2.5 MT of CO 2 e from fuel extraction, refining plant, transportation and leakage are found by using GREET life cycle modeling software. Moreover the emission from service of 30 year or (6,000,000 km travelled) life cycle of fright vehicles of trucks are analyses based on the existing collected data. A total of 0.00614599 M ton of CO 2 e from service are carried out. The Microsoft Excel software the GREET life cycle modeling software package is greatly used in the analysis of different data. Finally a Microsoft Excel software program(GHG emission calculator) are prepared that will be used for anyone to find out the average fuel consumption, LCA emission from vehicles service, emission from electricity generation and CO 2 e emitted gas with its percentage of CO 2 and SF 6 by using an input of ton and kilometer variables.



CO 2 e emissions, environment, transportation, railway, energy, electricity, emission reduction, mode shift effect