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GR4SPスイート:追加データとシミュレーション結果

GR4SP Suite: Additional Data and Simulation Results (原題)

Rojas Arevalo, Angela Maria

Zenodoデータセット2026-08-30#エネルギー転換対象セクター: power
DOI: 10.5281/zenodo.22172036
原典: https://zenodo.org/records/22172036

🤖 gxceed AI 要約

日本語

本データセットは、オーストラリア・ビクトリア州の電力システムの歴史と将来の移行経路を分析するGR4SPモデルの検証用データを提供する。105,000回のシミュレーション実行を含む検証アンサンブルと、ビジネス・アズ・ユージャル(BAU)シナリオの年次データが含まれ、卸売価格、再生可能エネルギー比率、小売料金、温室効果ガス排出量などの指標を検証する。感度分析とスクリーニング結果も付属し、モデルの信頼性評価に資する。

English

This dataset provides validation data for the GR4SP model, which analyzes the Victorian electricity system's history and future transition pathways. It includes a validation ensemble of 105,000 simulation runs and business-as-usual annual data, validating wholesale prices, renewable share, retail tariffs, and greenhouse gas emissions. Sensitivity analysis and screening results are also included, supporting model reliability assessment.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本の電力システム移行研究や政策評価に参考となる。特に、不確実性を考慮したシナリオ分析手法は、日本のエネルギー政策の検討に応用可能。

In the global GX context

This dataset offers a rigorous example of uncertainty analysis in electricity system transition modeling, relevant to global efforts in climate policy and energy planning. The validation approach can inform similar studies in other regions.

👥 読者別の含意

🔬研究者:電力システムモデリングの検証方法と不確実性分析の実践例として有用。

🏢実務担当者:エネルギー移行シナリオのデータ駆動型評価に関心のある実務者に参考。

🏛政策担当者:電力部門の脱炭素経路を検討する政策立案者に示唆を与える。

📄 Abstract(原文)

This entry is for the GR4SP Suite, a model and simulation tool used to analyse the Victorian electricity system's history and potential future transition pathways. Most of these files were used or generated with the Jupyter Notebook scripts shared in the author's GitHub repository (https://github.com/gr4sp/simulationEngine).  This version adds the validation material for the simulation-mode assessment of the model, together with the business-as-usual run it is assessed against. It does not repeat files from earlier versions; see "Relation to earlier versions" below. Files in this version - gr4sp_SOBOLhypopast2021-Mar-03_includ_wholesale_month.tar.gz (972 MB) — the validation ensemble. 105,000 GR4SP runs over 24 uncertainties, generated with an EMA Workbench Saltelli sample of N = 2100. It is a hypothetical-past design: it varies only parameters that could plausibly have differed over the historical period and omits the forward-looking parameters of the sensitivity-analysis ensemble, making the two designs distinct and not interchangeable. Unlike the earlier sampling archives, it also carries the monthly wholesale price outcome, which is what allows the wholesale series to be validated at monthly resolution. The archive holds plain CSV outcome matrices, one per outcome, so it can be read without the EMA Workbench. Two rows, 41357 and 41379, are empty and are dropped in analysis. - VICSimDataYearSummary_bau19982051.csv (0.6 MB): the pinned business-as-usual run, annual, 1998 to 2050, 922 columns. This is the single deterministic run the validation statistics compare against the historical record for wholesale price, renewable share, retail tariffs and greenhouse gas emissions. - VICSimDataYear_seed_1621753227017-BAU-1902-2051.csv (1.0 MB): a business-as-usual run reported annually from 1902 to 2050, 1015 columns, named by its random seed. It extends back through the model's historical mapping period, before the 1998 start of the summary file, and is the baseline for several of the analysis notebooks. - eet_hypoPast.csv (1.4 kB): the Elementary Effects Test (Morris) screening carried out over the historical period. It lists 34 uncertain model inputs, and for each of four indicators (greenhouse gas emissions, primary spot wholesale price, tariffs, renewable energy) gives the input's rank by mu* (columns ending -M) and by sigma (columns ending -S); a blank means the input did not rank for that indicator. It is included as context for the choice of parameters varied in the validation ensemble, which it informed but did not determine: 22 of the 34 inputs rank on at least one indicator, 20 of those are among the ensemble's 24, and the ensemble both adds four inputs that rank nowhere here and omits two that do. Relation to earlier versions  Zenodo versions do not inherit each other's files, and this deposit's files are spread across two of them. Version 2.0, record 8320754 (https://zenodo.org/records/8320754), holds the fourteen scenario sampling archives (BAU, LCT, JT, ST and the Sobol sensitivity ensemble), the YAML input settings, the Energy Vulnerability and Sectoral Network Analysis data, and the policy-mix results. This version holds the four files listed above and nothing else.

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