Estimation of Greenhouse Gas Emissions and Mitigation Methods in Electrical Power Sector of Dire Dawa City from 2015 to 2025

Abstract

This manuscript reviews and compares the results of recent greenhouse gas (GHG) emission life-cycle analyses. Specific attention is paid to fossil energy technologies and renewable energy technologies (RETs). It is therefore desirable for GHG emissions under national, regional and international mitigation policies to be accounted for over its entire life-cycle. The results presented here indicate that the most significant GHG avoidance (in absolute terms) can be made from technology substitution. The introduction of advanced fossil fuel technologies can also lead to improvements in life-cycle GHG emissions. Overall, hydro, nuclear, solar and wind energy technologies can produce electricity with the least life-cycle global warming impact. The advantage of using renewable resources for energy production from conventional resources scarcity and power system reliability point of view is too much. Using renewable resources specially wind and solar are becoming common in developing countries for electrifying the remote and rural areas where grid electrification is economically infeasible. This research work shows an investigation that uses a combination of solar and wind energy as hybrid system (HPS) for electrical generation in Dire Dawa. The generated electricity has been utilized for different purposes. The system has also integrated a diesel generator to be more reliable. This system is not linked with conventional energy. The total energy consumption of each household is 29.44 kWh/day. Measurements included the solar radiation intensity, the ambient temperature and the wind speed was collected from national meteorology agency which was collected for 15 years. To simulate the hybrid power system (HPS) HOMER was used. Emissions and renewable energy generation fraction (RF) of total energy consumption are calculated as the main environmental indicator. The net present cost (NPC) and cost of energy (COE) are calculated for economic evaluation. It is found that, for Dire Dawa climates, the optimum results of HPS show a 93.73% reduction of emissions with 99% of renewable energy fraction.