Browsing by Author "Ringler, Claudia"

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    Long-term Optimization of Regional Power Sector Development
    (Energy, Elsevier, 2020-06-15) Mondal, Md Alam Hossain; Ringler, Claudia
    This paper develops a regional TIMES modelling framework for the electricity sector of the Eastern Nile Basin region, including Egypt, Ethiopia and Sudan, to assess the potential of energy trading for cross-border collaboration in this rapidly growing sector. Four alternative scenarios are developed for the 2014–2050 period to assess national and regional benefits of alternative energy development strategies. The study finds that electricity trading scenarios out-perform a reference scenario that assumes no energy trading, lowering systems cost by 4.5–7.2%. Total systems costs are lower, even when transmission costs for trade are considered. Costs are also lower with increased generation from renewables compared to investments without regional trade. Investing in renewables has important co-benefits, such as improved energy security and reduced greenhouse gas emissions. Supporting energy trade not only reduces systems costs, but can also strengthen cooperation in the region, as reflected in the energy trading efforts of the East African Power Pool and the Trans boundary collaboration efforts of the Nile Basin Initiative.
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    Optimization and Cost-benefit Assessment of Hybrid Power Systems for Off-grid Rural Electrification in Ethiopia
    (Energy, Elsevier, 2019-04-16) Gebrehiwot, Kiflom; Mondal, Md. Alam Hossain; Ringler, Claudia; Gebremeskel, Abiti Getaneh
    Standalone solar photovoltaic systems are increasingly being distributed in Ethiopia, but these systems are sub-optimal due to their intermittent power supply. A hybrid system that integrates and optimizes across solar photovoltaic and complementary energy sources, such as wind and diesel generation, can improve reliability, and reduce the unit cost of power production. This study assesses the potential of a hybrid system to electrify a remote rural village in Ethiopia. The Hybrid Optimization of Multiple Electric Renewables model is used to assess primary data, develop a load profile and identify the optimal least-cost system option for the village. A sensitivity analysis was performed to determine the effect of variations in solar radiation, wind speed, and diesel price on optimal system configurations. The results show that a hybrid system with a combination of photovoltaic array, wind turbine, battery and diesel generator is the best option from an economic point of view. To meet the village's daily peak demand of 19.6 kW, energy generation cost is estimated at 0.207 dollars per kilowatt hour and net present cost at 82,734 dollars. The optimal system allows for a reduction of 37.3 tons of carbon dioxide emissions per year compared with diesel-only electricity generation.