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An errata-corrected, plant-level dataset of solar, wind and hydropower curtailment in Chile's National Electricity System (2022–2026)

2026-07-28 · Zenodo (CERN European Organization for Nuclear Research)

One-line summary

A solar energy research paper on An errata-corrected, plant-level dataset of solar, wind and hydropower curtailment in Chile's National Electricity System (2022–2026).

Engineering notes

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Chinese explanation / 中文解读

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Original abstract

This dataset is an open, plant-level dataset of renewable energy curtailment in Chile's National Electricity System (Sistema Electrico Nacional, SEN), consolidating the public curtailment records published by the Chilean National Electricity Coordinator (Coordinador Electrico Nacional, CEN) into validated relational tables. The daily table contains 293,678 records and the hourly table 6,906,761 records, both covering the continuous period from 1 January 2022 to 31 May 2026 (1,612 days, built from all 53 monthly CEN reports) with no missing days. Days and hours without curtailment are stored explicitly as zero-valued records (49.8% of daily and 83.6% of hourly rows). Records span 300 generation plants across four technologies: solar photovoltaic (75 plants), wind (56), run-of-river hydropower (140) and reservoir hydropower (29); hydropower curtailment records are present from June 2024 onward, with hourly hydropower detail from July 2024. Each plant is linked to a metadata registry fully matched to the CEN installation catalogue (300 of 300 plants) with 18 fields including official CEN identifier, installed capacity (MW), owner, region, province, municipality, geographic coordinates, commissioning date, connection point and regulatory classification; the matching method is recorded per plant. Twelve hydropower plants are labelled inconsistently across the operator's monthly reports, alternating between the run-of-river and reservoir categories; the plant registry resolves each of them to a single canonical technology, so that a count of distinct plant-technology pairs in the raw daily table returns 312 rather than 300.

5.0Engineering value
7.0Research novelty
4.0Business relevance

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