Designing a Model for the Global Energy System—GENeSYS-MOD: An Application of the Open-Source Energy Modeling System (OSeMOSYS)

Konstantin Löffler, Karlo Hainsch, Thorsten Burandt, Pao-Yu Oei, Claudia Kemfert and Christian Von Hirschhausen

EconStor Open Access Articles and Book Chapters, 2017, vol. 10, issue 10, 1-28

Abstract: This paper develops a path for the global energy system up to 2050, presenting a new application of the open-source energy modeling system (OSeMOSYS) to the community. It allows quite disaggregate energy and emission analysis: Global Energy System Model (GENeSYS-MOD) uses a system of linear equations of the energy system to search for lowest-cost solutions for a secure energy supply, given externally defined constraints, mainly in terms of CO2-emissions. The general algebraic modeling system (GAMS) version of OSeMOSYS is updated to the newest version and, in addition, extended and enhanced to include e.g., a modal split for transport, an improved trading system, and changes to storages. The model can be scaled from small-scale applications, e.g., a company, to cover the global energy system. The paper also includes an application of GENeSYS-MOD to analyze decarbonization scenarios at the global level, broken down into 10 regions. Its main focus is on interdependencies between traditionally segregated sectors: electricity, transportation, and heating; which are all included in the model. Model calculations suggests that in order to achieve the 1.5–2 °C target, a combination of renewable energy sources provides the lowest-cost solution, solar photovoltaic being the dominant source. Average costs of electricity generation in 2050 are about 4 €cents/kWh (excluding infrastructure and transportation costs).

Keywords: Decarbonization; Energy system modeling; OSeMOSYS; Renewables; Energy policy; Energy transition (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (42)

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Journal Article: Designing a Model for the Global Energy System—GENeSYS-MOD: An Application of the Open-Source Energy Modeling System (OSeMOSYS) (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:200750

DOI: 10.3390/en10101468

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