A Brazilian perspective of power systems integration using OSeMOSYS SAMBA – South America Model Base – and the bargaining power of neighbouring countries: A cooperative games approach

Moura, Gustavo; Legey, Luiz Fernando Loureiro; Howells, Mark

doi:10.1016/j.enpol.2018.01.045

Cited by 66 publications

(100 citation statements)

References 25 publications

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“…It has a high temporal resolution (48 annual time slices) and includes detailed and county-specific representation of generation technologies in all countries. Insights are derived on the role of hydropower for electricity supply and trade, but also on the relative importance of specific input parameters as key drivers for the overall system costs [41][42][43].  Global scale:…”

Section: Energy Modellingmentioning

confidence: 99%

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From the development of an open-source energy modelling tool to its application and the creation of communities of practice: The example of OSeMOSYS

Gardumi

Shivakumar

Morrison³

et al. 2018

Energy Strategy Reviews

Self Cite

111

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In the last decades, energy modelling has supported energy planning by offering insights into the dynamics between energy access, resource use, and sustainable development. Especially in recent years, there has been an attempt to strengthen the science-policy interface and increase the involvement of society in energy planning processes. This has, both in the EU and worldwide, led to the development of open-source and transparent energy modelling practices. This paper describes the role of an open-source energy modelling tool in the energy planning process and highlights its importance for society. Specifically, it describes the existence and characteristics of the relationship between developing an open-source, freely available tool and its application, dissemination and use for policy making. Using the example of the Open Source energy Modelling System (OSeMOSYS), this work focuses on practices that were established within the community and that made the framework's development and application both relevant and scientifically grounded.

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Section: Energy Modellingmentioning

confidence: 99%

“…The SAMBA model was developed in OSeMOSYS to represent the electricity supply sector of 11 South American countries [41,42]. Brazil is further divided into four regions, thus creating 14 separate systems.…”

Section: Appendix Amentioning

confidence: 99%

From the development of an open-source energy modelling tool to its application and the creation of communities of practice: The example of OSeMOSYS

Gardumi

Shivakumar

Morrison³

et al. 2018

Energy Strategy Reviews

Self Cite

111

View full text Add to dashboard Cite

show abstract

“…It is a new code implementation of the open source energy modeling system (the OSeMOSYS modeling framework) [10,11] with the substantial extension of Monte Carlo simulations (MCS). Other code implementations of OSeMOSYS (i.e., GNU MathProg, GAMS, and Python using the software library Pyomo [12,13]) have been extensively used for modeling and analysis of long-term energy planning scenarios in the scientific literature, e.g., see References [14][15][16][17][18][19][20][21]. However, those studies are limited in their usability to run MCS in an automated and convenient way.…”

Section: Rationalementioning

confidence: 99%

“…The user defines a specific model by providing input data to parameters for energy demand, energy supply, energy and/or emission targets, techno-economics, capacity-building constraints, etc. The OSeMOSYS modeling framework has been widely used in scientific studies to generate outlooks and to enhance understanding concerning the impact of structural transformations in energy systems concerning economic, environmental, and social aspects, e.g., see References [14][15][16][17][18][19]. The structure and features of the OSeMOSYS modeling framework have been well described in the scientific literature, see References [10,11].…”

Section: Osemosys Modeling Frameworkmentioning

confidence: 99%

OSeMOSYS-PuLP: A Stochastic Modeling Framework for Long-Term Energy Systems Modeling

Dreier¹,

Howells²

2019

Energies

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Recent open-data movements give access to large datasets derived from real-world observations. This data can be utilized to enhance energy systems modeling in terms of heterogeneity, confidence, and transparency. Furthermore, it allows to shift away from the common practice of considering average values towards probability distributions. In turn, heterogeneity and randomness of the real-world can be captured that are usually found in large samples of real-world data. This paper presents a methodological framework for an empirical deterministic–stochastic modeling approach to utilize large real-world datasets in long-term energy systems modeling. A new software system—OSeMOSYS-PuLP—was developed and is available now.It adds the feature of Monte Carlo simulations to the existing open-source energy modeling system (the OSeMOSYS modeling framework). An application example is given, in which the initial application example of OSeMOSYS is used and modified to include real-world operation data from a public bus transport system.

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“…Quantitative studies using optimization modeling have been used to investigate the issues above (socio-economic viability, environmental concerns) for energy development and provide insights for long-term planning, electricity trades and policy implications [ 14 ]. One of those is the South America Model Base (SAMBA) developed in OSeMOSYS [ 41 ]. The analysis examined the transformation of the overall generation mix in the continent under different electricity trade scenarios taking into consideration strategic large hydropower plants.…”

Section: Introductionmentioning

confidence: 99%

Implications to the electricity system of Paraguay of different demand scenarios and export prices to Brazil

Pappis

Centurion²,

Ramos

et al. 2021

Energy Syst

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Paraguay's power system is based entirely on hydropower. It serves as the largest net electricity exporter in Latin America. Nonetheless, the country´s electricity consumption per capita is one of the lowest in the world and the transmission and distribution network has one of the highest losses in Latin America. This paper presents an electricity expansion investment outlook (2018–2040) for Paraguay using OSeMOSYS, analyzing three electricity demand scenarios under different electricity export prices to Brazil. The study identifies the least-cost power generation mix, future investments and the financial requirements to meet the needs of different demand scenarios. We find that Paraguay will need to invest in hydropower plants, by mainly expanding the capacity of Yacyreta to cover its electricity needs and sustain national electricity exports levels. In the High demand scenario, where the electricity demand could approximately double by 2040, the country's overall electricity exports decrease by 50% compared to the Reference scenario. Based on the different scenarios examined, the government spends approximately 18.3–31.2 billion USD on power plant investments for the period 2018–2040 to cover future electricity demand. The findings could be useful in supporting decision-making concerning socio-economic development pathways in the country.

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A Brazilian perspective of power systems integration using OSeMOSYS SAMBA – South America Model Base – and the bargaining power of neighbouring countries: A cooperative games approach

Cited by 66 publications

References 25 publications

From the development of an open-source energy modelling tool to its application and the creation of communities of practice: The example of OSeMOSYS

From the development of an open-source energy modelling tool to its application and the creation of communities of practice: The example of OSeMOSYS

OSeMOSYS-PuLP: A Stochastic Modeling Framework for Long-Term Energy Systems Modeling

Implications to the electricity system of Paraguay of different demand scenarios and export prices to Brazil

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