OSeMOSYS Global: An open-source, open data global energy system model generator Dr. Taco Niet, School of Sustainable Energy Engineering, Simon Fraser University

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OSeMOSYS Global:
An open-source, open-data global
energy system model generator
Dr. Taco Niet, ΔE+ Research Group
Sustainable Energy Engineering, Simon Fraser University
Dr. Abhishek Shivakumar, SDG Integration Team
United Nations Development Program (UNDP)
Maarten Brinkerink, MaREI Centre,
Environmental Research Institute, University College Cork

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S. Nishimura 2020, used with permission.

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Introduction and Background
ESMs are a key tool in
addressing climate challenges
Existing global ESMs
are not fully open
Transparency
Repeatability
Barriers to entry
Expanded spatial detail
Full energy system model

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Conceptual Approach
Series of Python scripts that
process specific input data and
produce parameter files
Built using the PLEXOS World
Open Dataset
Fully open source, from input
data, scripts, visualizations, etc.
Customizable

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Naming Conventions

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Representing International Trade

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Workflow - Snakemake

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Data Validation – Residual Capacity

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Data validation – demand projections

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Spatial respresentation
Brinkerink et al., 2021

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Example: Gulf Undersea India Interconnect

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GUI – Power Demand by Country 2050

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GUI – Power Generation New Capacity

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GUI – Power Generation Total Capacity

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GUI – Power Generation Profile 2050

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Conclusions
Picture