The role of spatial resolution in global electricity systems modelling

We perform a global case study to assess the implications of spatial resolution in electricity systems modelling. The global model PLEXOS-World is used to optimize the long-term capacity expansion and short-term operation of a global net-zero electricity system under alternative spatial resolution a...

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Main Authors: Maarten Brinkerink, Erin Mayfield, Paul Deane
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Energy Strategy Reviews
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2211467X24000774
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author Maarten Brinkerink
Erin Mayfield
Paul Deane
author_facet Maarten Brinkerink
Erin Mayfield
Paul Deane
author_sort Maarten Brinkerink
collection DOAJ
description We perform a global case study to assess the implications of spatial resolution in electricity systems modelling. The global model PLEXOS-World is used to optimize the long-term capacity expansion and short-term operation of a global net-zero electricity system under alternative spatial resolution assumptions. We find that spatial resolution assumptions have a large influence on electricity system operational and planning decisions regarding the integration of variable renewables as well as the utilization of transmission infrastructure and other flexibility providers. Furthermore, challenges with respect to spatial aggregation arise with respect to data accessibility and spatial aggregation methods, and there are trade-offs between increasing spatial resolution and computational performance. A question-based framework is provided that can assist modellers in selecting the appropriate spatial extent and resolution.
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spelling doaj.art-fbb9253907de4737b887240fb7b1c14f2024-04-10T04:28:56ZengElsevierEnergy Strategy Reviews2211-467X2024-05-0153101370The role of spatial resolution in global electricity systems modellingMaarten Brinkerink0Erin Mayfield1Paul Deane2Dartmouth College, Thayer School of Engineering, USA; Corresponding author.Dartmouth College, Thayer School of Engineering, USAUniversity College Cork, School of Engineering, IrelandWe perform a global case study to assess the implications of spatial resolution in electricity systems modelling. The global model PLEXOS-World is used to optimize the long-term capacity expansion and short-term operation of a global net-zero electricity system under alternative spatial resolution assumptions. We find that spatial resolution assumptions have a large influence on electricity system operational and planning decisions regarding the integration of variable renewables as well as the utilization of transmission infrastructure and other flexibility providers. Furthermore, challenges with respect to spatial aggregation arise with respect to data accessibility and spatial aggregation methods, and there are trade-offs between increasing spatial resolution and computational performance. A question-based framework is provided that can assist modellers in selecting the appropriate spatial extent and resolution.http://www.sciencedirect.com/science/article/pii/S2211467X24000774Spatial resolutionEnergy systems modellingIntegrated assessmentGlobalVariable renewablesElectricity systems
spellingShingle Maarten Brinkerink
Erin Mayfield
Paul Deane
The role of spatial resolution in global electricity systems modelling
Energy Strategy Reviews
Spatial resolution
Energy systems modelling
Integrated assessment
Global
Variable renewables
Electricity systems
title The role of spatial resolution in global electricity systems modelling
title_full The role of spatial resolution in global electricity systems modelling
title_fullStr The role of spatial resolution in global electricity systems modelling
title_full_unstemmed The role of spatial resolution in global electricity systems modelling
title_short The role of spatial resolution in global electricity systems modelling
title_sort role of spatial resolution in global electricity systems modelling
topic Spatial resolution
Energy systems modelling
Integrated assessment
Global
Variable renewables
Electricity systems
url http://www.sciencedirect.com/science/article/pii/S2211467X24000774
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