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Designing a Model for the Global Energy System—GENeSYS-MOD: An Application of the Open-Source Energy Modeling System (OSeMOSYS)
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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).
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“Several research teams [169-172] find similar results to this research for the transition in the transport sector as summarized in Table 27.”
From Global Transportation Demand Development with Impacts on the Energy Demand and Greenhouse Gas Emissions in a Climate-Constrained World (2019) · cites this paper as [171]
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“Research on transition dynamics indicate that the speed of transition assumed in this research is possible and not out of reach.”
From Global Transportation Demand Development with Impacts on the Energy Demand and Greenhouse Gas Emissions in a Climate-Constrained World (2019) · cites this paper as [171]
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Metadata
- Authors
- Löffler, K., Hainsch, K., Burandt, T., Oei, P.-Y., Kemfert, C., & Von Hirschhausen, C.
- Affiliations
- German Institute for Economic Research (DE)
- Technische Universität Berlin (DE)
- Energy, Transport, and Environment, DIW Berlin, Mohrenstraße 58, 10117 Berlin, Germany
- Workgroup for Infrastructure and Policy, TU Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
- Corresponding author
- Löffler, Konstantin
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2017-09-22
- Volume
- 10
- Issue
- 10
- Pages
- 1468
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W2759101754
- Cited by
- 225
- References
- 29
- Citations by year
- 2026: 30 · 2025: 23 · 2024: 34 · 2023: 36 · 2022: 23 · 2021: 30 · 2020: 20 · 2019: 18 · 2018: 11
- FWCI
- 5.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Energies (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- EconStor Open Access Articles and Book Chapters (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Econstor (Econstor) (submittedVersion, cc-by)
- OPUS 4 (Zuse Institute Berlin) (submittedVersion)
- Funders
- German Research Foundation and the Open Access Publication Funds of Technische Universität Berlin
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Energy › Energy Engineering and Power Technology › Hybrid Renewable Energy Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- GENeSYS-MOD, OSeMOSYS, energy system optimization, CO2 emissions, decarbonization scenarios, modal split, energy storage, energy trade, renewable energy, photovoltaics, electricity generation costs, 1.5°C target, GAMS
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