Description
Computational tractability remains a significant challenge in modellinglarge-scale, sector-coupled energy systems. This study investigates
the soft-linking of models to broaden the analysis scope while main-
taining practical computation times. A case study is defined because
soft-linking applications are unique to the specific research question.
Resource adequacy assessment is therefore defined as the scope in a
bidirectional coupling of Balmorel (which performs investment and
dispatch on time slices) and the stochastic dispatch model, Antares,
which optimises dispatch in multiple weather years with hourly reso-
lution. The models are fully harmonised in terms of data, geographi-
cal granularity and level of sector-coupling in a pan-European context.
The bidirectional soft link is analysed by comparing computation times
at different temporal aggregation levels with the objective of finding
the least-cost system with the lowest loss of electricity and hydrogen
load. A higher degree of aggregation leads to lower computation times
per iteration but more inadequate systems. Thus, more iterations are
required to adjust investments. The opposite is valid for a less aggre-
gated approach. A discussion is carried out of the different methods
used to signal the need for more investment in carrier transmission,
generation capacity, etc., and a conclusion on the benefits and chal-
lenges of soft-linking is derived from these findings.
Period | 1 Jul 2024 |
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Event title | EURO-2024 Copenhagen: 33rd European Conference on Operational Research |
Event type | Conference |
Conference number | 33 |
Location | Copenhagen, DenmarkShow on map |
Degree of Recognition | International |
Related content
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Publications
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Benefits and challenges of soft-linking for large-scale energy system modelling
Research output: Contribution to conference › Conference abstract for conference › Research › peer-review