Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 54 min ago
PreprintCC BY 4.0arXiv

Open, Reproducible Per-Bidding-Zone Carbon Intensity for Nordic Power Systems

Abstract

Carbon-aware scheduling of electrical loads depends on accurate grid carbon-intensity (CI) signals, yet existing tools commonly apply a uniform placeholder emission factor that misrepresents regional variation. This work presents an open, reproducible method for computing per-bidding-zone CI across the Nordic power system. Generation-by-type data from ENTSO-E is combined with IPCC AR5 life-cycle emission factors, duration-weighted per bidding zone, with an explicit materiality threshold for missing data. Applied to nine bidding zones (NO1-NO5, SE1-SE4) for 2025, the method yields CI values ranging from 14.5 to 39.6 gCO2eq/kWh. The results reveal that the uniform 18.0 gCO2eq/kWh placeholder is wrong in both directions: it understates CI for most zones, by a factor of approximately 2.2 for NO4, yet overstates CI for the nuclear-dominated zone SE3, whose production-based CI is the lowest of the nine. Drift is characterised against a pre-registered threshold of 15% year-on-year change, including a borderline case in SE4 and event-driven variation in NO4. Forecasting experiments do not reject the null hypothesis that simple baselines suffice, in either the Norwegian or Swedish zones. The full method, data, and results are released under open licences and archived at DOI 10.5281/zenodo.21042581, with the per-zone values contributed upstream to the codecarbon library. Per-bidding-zone resolution is necessary for accurate carbon accounting in Nordic grids, where country-level averages obscure substantial intra-country variation.

Related

  1. Zero-shot time-series foundation models against the Khepri v1.5 baselines for 96-hour carbon-intensity forecasts in nine Nordic bidding zones: a preregistered comparison
    Eirik Botten Nicolaysen
    arXivPreprintCC BY 4.0Full textStatistical & nonlinear physicsarXiv
  2. Voxel-Matching NORDIC: Non-local patch formation by time-series similarity increases tSNR in high-resolution BOLD fMRI
    Alessandro Nigi, Natalia Petridou, Jeroen C. W. Siero
    arXivPreprintCC BY 4.0Full textBiological & medical physicsarXiv
  3. [SUPERSEDED] Direct Energy Conversion for a D-3He Magnetic-Mirror Burner: the Electron Channel is the Larger Axial Stream, and a Quasineutral Expander Can Recover It — Reproducible Code and Data
    Priyanca Ford, Gerald L Kulcinski
    OSF Preprints (OSF Preprints)PreprintLicence not stated155 citedHigh-energy & particle physicsOpenAlex
  4. FlowMLLab: An open-source framework for reproducible computational-fluid-dynamics and scientific-machine-learning experiments
    Ehsan Roohi
    arXivPreprintCC BY 4.0Full textGeneral physicsarXiv
  5. Qlippy: A Retrieval-Augmented GenAI Assistant for Reproducible Quantum Workflows and Experiment Tracking
    Mahee Gamage, Vlad Stirbu
    arXivPreprintCC BY 4.0Full textQuantum physics & quantum informationarXiv
BibTeX
@misc{nicolaysen2026open,
  title = {{Open, Reproducible Per-Bidding-Zone Carbon Intensity for Nordic Power Systems}},
  author = {Eirik Botten Nicolaysen},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2608.29717},
  eprint = {2608.29717},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.29717},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Open, Reproducible Per-Bidding-Zone Carbon Intensity for Nordic Power Systems
AU  - Eirik Botten Nicolaysen
PY  - 2026
DA  - 2026/09/09
PB  - arXiv
DO  - 10.48550/arxiv.2608.29717
UR  - https://arxiv.org/abs/2608.29717
AB  - Carbon-aware scheduling of electrical loads depends on accurate grid carbon-intensity (CI) signals, yet existing tools commonly apply a uniform placeholder emission factor that misrepresents regional variation. This work presents an open, reproducible method for computing per-bidding-zone CI across the Nordic power system. Generation-by-type data from ENTSO-E is combined with IPCC AR5 life-cycle emission factors, duration-weighted per bidding zone, with an explicit materiality threshold for missing data. Applied to nine bidding zones (NO1-NO5, SE1-SE4) for 2025, the method yields CI values ranging from 14.5 to 39.6 gCO2eq/kWh. The results reveal that the uniform 18.0 gCO2eq/kWh placeholder is wrong in both directions: it understates CI for most zones, by a factor of approximately 2.2 for NO4, yet overstates CI for the nuclear-dominated zone SE3, whose production-based CI is the lowest of the nine. Drift is characterised against a pre-registered threshold of 15% year-on-year change, including a borderline case in SE4 and event-driven variation in NO4. Forecasting experiments do not reject the null hypothesis that simple baselines suffice, in either the Norwegian or Swedish zones. The full method, data, and results are released under open licences and archived at DOI 10.5281/zenodo.21042581, with the per-zone values contributed upstream to the codecarbon library. Per-bidding-zone resolution is necessary for accurate carbon accounting in Nordic grids, where country-level averages obscure substantial intra-country variation.
ER  -