2023
DOI: 10.1016/j.esr.2022.101045
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Long-term electricity supply modelling in the context of developing countries: The OSeMOSYS-LEAP soft-linking approach for Ethiopia

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Cited by 22 publications
(10 citation statements)
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“…OSeMOSYS has been employed in a range of studies conducted at various levels. Examples include examining the ability of grid-extension and off-grid supply to improve the electricity access in Ethiopia [15]. On a larger scale, the Electricity Model Base for Africa (TEMBA) initiative investigated the electricity supply systems of 47 countries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…OSeMOSYS has been employed in a range of studies conducted at various levels. Examples include examining the ability of grid-extension and off-grid supply to improve the electricity access in Ethiopia [15]. On a larger scale, the Electricity Model Base for Africa (TEMBA) initiative investigated the electricity supply systems of 47 countries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Unlike other price-based DRPs, primarily based on pre-defined prices at fixed periods or where rates are based on the time of use, such as CPP or EDRP DRP, the proposed PCDP DRP offers an instantaneous time-variant electricity price based on the actual load demand-generation power imbalance in the system. This scheme provides variable pricing as in other real-time pricing proposed in [31]; however, the differences are based on the mismatch between the power balance status, the available shiftable load demand capacity, and the BESS's power charging or discharging capability. The electricity price change (δP pcdp,drp r…”
Section: Power Capacity-based Dynamic Pricing Demand Response For Gri...mentioning
confidence: 99%
“…The energy management strategies are developed to minimize operating and environmental costs while meeting the electricity demand and adequately considering future generation and demand response. Research studies have revealed that incorporating short-term operation limits in the long-term investment planning model significantly mitigates the shortcomings of the above-segregated models using soft-linking techniques [30,31].…”
Section: Introductionmentioning
confidence: 99%
“…For instance, OSeMOSYS has been employed to model energy policy and develop least-cost scenarios in Indonesia, including the nationwide [14], Sumatra Island [15], Sulawesi region [16], and Java-Bali power systems [17]. The model has also been utilised for analysing energy transition pathways in other developing countries, such as, in Dominican Republic [18], Bangladesh [19], Ethiopia [20] and Egypt [21]. Additionally, OSeMOSYS is adept at simulating broader specific objectives, such as projecting the consequences of phasing out coal from the energy mix in Mauritius [22].…”
Section: Introductionmentioning
confidence: 99%