Modeling of the dominican republic energy systems with OSeMOSYS to assess alternative scenarios for the expansion of renewable energy sources

Quevedo, Jarrizon; Moya, Idalberto Herrera

doi:10.1016/j.nexus.2022.100075

Cited by 20 publications

(7 citation statements)

References 11 publications

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“…For this purpose, it is important to use reliable tools based on application experiences in similar contexts with scientifically supported results, and it is preferable that they are open source. The tool used should enable the participation of the institutions responsible for energy development planning in the country and facilitate contributions from the academic and scientific community, which represents a significant potential for finding sustainable solutions (Quevedo & Moya 2022).…”

Section: Discussionmentioning

confidence: 99%

“…Models can be divided into short, medium, and longterm models. In all three cases, constraints related to the availability of potential, dynamics of demand, market prices, policy regulation, technological evolution of the network and environmental concerns are taken into account (Quevedo & Moya 2022;Kansongue et al 2022). These constraints differ from region to region depending on the degree of development and natural conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Also in the Latin America, the electricity mix of countries has been changing significantly in the last few years. In the Dominican Republic, the renewable energy generation fleet in 2020 was composed of 187.46 MW of solar power (3.81% of total installed capacity) and 370.25 MW of wind power (7.52% of installed capacity), increasing the share of renewable energy from 12% in 2019 to 15% in 2020 (Quevedo & Moya 2022). The country aims to produce 25% of its electricity from renewable energy sources by 2025.…”

Section: International Contextmentioning

confidence: 99%

“…It has had several applications. Recently, it has been used to study options for stabilizing renewable energy sources in long-term energy systems (Gardumi et al 2019), modeling energy systems to evaluate alternative scenarios (Quevedo & Moya 2022), and modeling solutions for energy security in the electricity sector (Yeganyan 2021) among others.…”

Section: The Osemosys Modelmentioning

confidence: 99%

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Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS

Tchandao

Salami

Kodjo

et al. 2023

Int. J. Renew. Energy Dev.

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This work uses bottom-up modeling to explore the future evolution trajectories of the electricity mix in Togo by 2050. The objective is to investigate the evolution of the mix and the future investments needed to achieve the sustainable energy and climate change goals. Three scenarios were developed using OSeMOSYS. The reference scenario, named Business As Usual, closely reflects the evolution of the Togolese electricity sector under a business-as-usual assumption and planned capacity increases up to 2030. The second scenario, Net Zero by 2050, is based on the first scenario while ensuring that CO2 emissions cancel out in 2050 by following the Weibull law. The third scenario called Emission Penalty aims not only at the integration of renewable energies like the second one but also at the least cost electricity mix if emission penalties are applied. The results of the cost optimization indicate that photovoltaic and importation are the optimal choices ahead of gas and hydropower. The renewable energy aspect of the electricity mix is more highlighted in the last scenario. At the same time, the model shows that greater energy independence is achievable at the cost of a transitory increase in the cost of the electricity system. A tenfold investment effort is needed in 2030 to ensure either continuity of the status quo or a shift in strategy.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: International Contextmentioning

confidence: 99%

Section: The Osemosys Modelmentioning

confidence: 99%

See 2 more Smart Citations

Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS

Tchandao

Salami

Kodjo

et al. 2023

Int. J. Renew. Energy Dev.

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“…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%

Pathways to Clean Energy Transition in Indonesia’s Electricity Sector with Open-Source Energy Modelling System Modelling (OSeMOSYS)

Paiboonsin,

Oluleye,

Howells

et al. 2023

Energies

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Responding to the Paris Agreement and climate change mitigation, Indonesia aims to reach net zero by 2060 or sooner. Due to Indonesia’s dependence on coal and growing consumption, alternative sources of clean energy are imperative for meeting its rising energy needs and reducing energy-related greenhouse gas emissions to achieve the energy transition. This project aims to examine Indonesia’s opportunities and potential to achieve low carbon ambition in the energy sector and identify alternative pathways for the energy transition in Indonesia. In this study, the open-source energy modelling system (OSeMOSYS), which is a long-term energy system modelling tool, is employed to compare electricity generation, investment, and carbon dioxide emissions between business-as-usual and five alternative scenarios. Six scenarios, including business as usual, least-cost, two coal-phrase out and two net zero aligned with national climate targets and optimal scenarios, were simulated across different target years. The results show that the net zero (NZ) scenario is more cost-effective and emits fewer greenhouse gases than the other scenarios in meeting Indonesia’s future energy demand. However, achieving net zero by 2050 (NZ50) results in significantly lower CO2 emissions (10,134 MtCO2), which is less than half of the emissions in the net zero by 2060 (NZ60) scenario (16,849 MtCO2) at a similar cost (6229 and 6177 billion USD, respectively). This paper’s insights emphasise that large-scale renewable energy deployment and coal retirement are critical pathways to reaching carbon neutrality and achieving the energy mix transition.

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Integrated Long‐Term Expansion Planning and Short‐Term Operation Assessment in Brazil Considering Utility‐Scale Storage

Borba,

Bitencourt,

Peters

et al. 2024

Energy Storage

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Long‐term power system expansion planning aligned with current sustainable development policies plays a pivotal role in achieving global targets for energy transition, particularly in developing countries. This paper presents a comprehensive long‐term expansion planning model for Brazil, taking into account decarbonisation pathways using OSeMOSYS integrated with Flextool. Four scenarios explore the potential benefits of increasing the share of variable renewable energy (VRE), specifically photovoltaic (PV) and offshore wind, to 40% of the total energy produced, both with and without a storage system. Results indicate that policies better aligned with net‐zero strategies do not impose a significant cost burden.

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Modeling of the dominican republic energy systems with OSeMOSYS to assess alternative scenarios for the expansion of renewable energy sources

Cited by 20 publications

References 11 publications

Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS

Modelling the Optimal Electricity Mix for Togo by 2050 Using OSeMOSYS

Pathways to Clean Energy Transition in Indonesia’s Electricity Sector with Open-Source Energy Modelling System Modelling (OSeMOSYS)

Integrated Long‐Term Expansion Planning and Short‐Term Operation Assessment in Brazil Considering Utility‐Scale Storage

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