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data(nordic): price Waste and Biomass in NO1–NO3 and NO5 now that the factor table has them #1458

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data(nordic): price Waste and Biomass in NO1–NO3 and NO5 now that the factor table has them #1458

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22 changes: 11 additions & 11 deletions codecarbon/data/private_infra/nordic_emissions.json
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Original file line number Diff line number Diff line change
Expand Up @@ -33,27 +33,27 @@
"note": "Lower bound: 14.95% of generation is ENTSO-E 'Other' (mostly biomass/waste CHP), which has no factor in carbon_intensity_per_source.json and is counted at 0."
},
"NO1": {
"emission_factor": 26.0,
"emission_factor": 27.0,
"unit": "gCO2eq/kWh",
"description": "Norway Bidding Zone 1 (Oslo)",
"year": 2025,
"coverage": "99.58% (uncovered: Waste 0.42%, Biomass 0.0004%)",
"coverage": "100.00%",
"note": "Hydro-dominated."
},
"NO2": {
"emission_factor": 27.0,
"emission_factor": 27.3,
"unit": "gCO2eq/kWh",
"description": "Norway Bidding Zone 2 (Southern Norway)",
"year": 2025,
"coverage": "99.89% (uncovered: Waste 0.11%)",
"coverage": "100.00%",
"note": "Hydro-dominated, with pumped storage and a small offshore wind share."
},
"NO3": {
"emission_factor": 25.8,
"emission_factor": 26.0,
"unit": "gCO2eq/kWh",
"description": "Norway Bidding Zone 3 (Central Norway)",
"year": 2025,
"coverage": "99.32% (uncovered: Other renewable 0.60%, Waste 0.09%)",
"coverage": "99.40% (uncovered: Other renewable 0.60%)",
"note": "Hydro-dominated."
},
"NO4": {
Expand All @@ -65,11 +65,11 @@
"note": "Fossil gas (3.63% of 2025 generation at 743 gCO2eq/kWh) contributes about half of this value. The gas share varies between years (near 0 in 2021, 6.23% in 2024, 3.63% in 2025), so the value is period-dependent."
},
"NO5": {
"emission_factor": 26.6,
"emission_factor": 27.4,
"unit": "gCO2eq/kWh",
"description": "Norway Bidding Zone 5 (Western Norway)",
"year": 2025,
"coverage": "99.67% (uncovered: Waste 0.33%)",
"coverage": "100.00%",
"note": "Near-pure hydro."
},
"FI": {
Expand All @@ -81,9 +81,9 @@
},
"metadata": {
"source": "SE1-SE4, NO1-NO5: ENTSO-E Transparency, Actual Generation per Production Type (A75), per bidding zone, full year 2025. FI: prior value, unchanged.",
"method": "Production-based generation mix: energy-weighted average over the year of each production type's share multiplied by its factor from CodeCarbon's carbon_intensity_per_source.json. Production types with no entry in that table (ENTSO-E 'Other', 'Other renewable', 'Waste', 'Biomass') stay in the denominator with factor 0, so each value is a complete gCO2eq/kWh factor over all zone generation; the per-zone 'coverage' field gives the share that has a factor. Where coverage is well below 100% the value is a lower bound. Not consumption-based: the Electricity Maps API path remains the consumption-based source when a token is configured.",
"method": "Production-based generation mix: energy-weighted average over the year of each production type's share multiplied by its factor from CodeCarbon's carbon_intensity_per_source.json; ENTSO-E 'Biomass' and 'Waste' use its 'biomass' and 'waste' entries. Production types with no entry in that table (ENTSO-E 'Other', 'Other renewable') stay in the denominator with factor 0, so each value is a complete gCO2eq/kWh factor over all zone generation; the per-zone 'coverage' field gives the share that has a factor. Where coverage is well below 100% the value is a lower bound. Not consumption-based: the Electricity Maps API path remains the consumption-based source when a token is configured.",
"provenance": "Derived reproducibly by Khepri v1.3 (avalyset/khepri), archived at https://doi.org/10.5281/zenodo.22285397. Method described in https://arxiv.org/abs/2608.29717. Note that the archived record and the paper also publish these zones on an IPCC AR5 factor basis; those figures are not the ones shipped here.",
"last_updated": "2026-09-09",
"notes": "SE1-SE4 and NO1-NO5 replace the previous uniform 18.0 gCO2eq/kWh placeholder, which was below the lowest factor in carbon_intensity_per_source.json (26 for hydro and wind) and therefore unreachable for any generation mix. The Swedish zones cluster at 24.7-27.0 because hydro and wind share the same factor; the Norwegian spread (25.8-51.7) is driven by NO4's fossil-gas share."
"last_updated": "2026-10-23",
"notes": "SE1-SE4 and NO1-NO5 replace the previous uniform 18.0 gCO2eq/kWh placeholder, which was below the lowest factor in carbon_intensity_per_source.json (26 for hydro and wind) and therefore unreachable for any generation mix. The Swedish zones cluster at 24.7-27.0 because hydro and wind share the same factor; the Norwegian spread (26.0-51.7) is driven by NO4's fossil-gas share. NO1, NO2, NO3 and NO5 were recomputed when biomass and waste factors were added to carbon_intensity_per_source.json; before that, their Waste and Biomass generation was counted at 0."
}
}
26 changes: 26 additions & 0 deletions tests/test_emissions.py
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Expand Up @@ -280,6 +280,32 @@ def test_get_emissions_PRIVATE_INFRA_NORDIC_REGION(self):
assert isinstance(emissions, float)
self.assertAlmostEqual(emissions, emission_factor_g / 1000, places=6)

def test_nordic_zones_count_no_factored_type_as_uncovered(self):
"""
A zone's 'coverage' lists the production types that were counted at 0
because carbon_intensity_per_source.json had no factor for them. Once
the table gains a factor for one of those types, the zone has to be
recomputed, or it keeps understating the zone.
"""
# GIVEN
factors = self._data_source.get_carbon_intensity_per_source_data()
nordic_data = self._data_source.get_nordic_country_energy_mix_data()

# WHEN
stale = []
for zone, entry in nordic_data["data"].items():
coverage = entry.get("coverage", "")
if "uncovered: " not in coverage:
continue
listed = coverage.split("uncovered: ", 1)[1].rstrip(")").split(", ")
for item in listed:
production_type = item.rsplit(" ", 1)[0]
if production_type.lower().replace(" ", "_") in factors:
stale.append(f"{zone}: {production_type}")

# THEN
self.assertEqual(stale, [])

def test_get_emissions_PRIVATE_INFRA_NORDIC_FINLAND(self):
# WHEN
# Test Nordic region (Finland)
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