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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/222

Title: National Energy Sector Greenhouse Gas Emissions of Ethiopia and Its Mitigation Analysis
Authors: Amare, Engdayahu
Advisors: Dr. Hameed Suliaman
Keywords: Phrases
Gas Emissions
Energy demand
Copyright: 2007
Date Added: 13-Nov-2007
Publisher: Addis Ababa University
Abstract: In this paper, projection of energy demand and GHGs emission were done for the next thirty years, taking the 2000 Ethiopian energy system as a base year. This has been determined with the help of the Long Range Energy Alternative Planning system (LEAP). LEAP forecasts energy consumption and GHG emissions by sector and national total by summing up sectoral energy consumption and GHG emissions. All available energy consumption activities and socio-economic data have been collected and input in to the model to develop scenarios. Scenarios are self-consistent story-lines of future energy system and will show how energy might evolve over time in a particular socio-economic setting and under a particular set of policy conditions. Initially, a reference scenario was created based on the current energy situation. This uses the base year situation and the expected future changes based on the likely plans and growth trajectories. It is “Business-asusual” scenario with implementation of anticipated and likely to be carried out projects and policies. Then mitigation scenario that simulates new policy measure was developed to meet the energy demand and reduce GHGs emission. The household sector energy demand was assumed to be driven by population growth. The energy demand for industry and commercial was assumed to be driven by their GDP while in the agriculture is by their tons of out put. On the other hand, energy demand for the transportation sector was assumed to be driven by respective growth in passenger-km and ton-km for passengers and freight sub-sector. The computation showed that energy demand and its related GHGs emission would increase in the next thirty years and would be 2.5 and 3.3 times their base year values, respectively. The computation showed that the household and the transport sector take the largest GHGs emission contribution. The selected intervention measures were therefore mostly focused on those two major sectors. Under those measures, the energy demand could be reduced by 3.7%, 5.5%, and 8% while the GHGs emission reduced by 5.6%, 7.6% and 10.9% in 2010, 2020 and 2030, respectively. On the other hand measures in the transformation analysis, efficient charcoal production would reduce the input wood demand by 36% while transmission and distribution loss reduction would reduce electricity lose by 9% in 2030. Furthermore, by the efficient charcoal production the GHGs emissions could be reduced 13%, 15.3% and 17.7% in 2010, 2020 and 2030, respectively. Finally, recommendations to implement those mitigation measures are given for governmental and non governmental organization.
Description: Thesis paper submitted for the Partial Fulfillment of Master of Science in Environmental Science
URI: http://hdl.handle.net/123456789/222
Appears in:Thesis - Environmental Sciences

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