「発電目標を超えて：スウェーデンのエネルギー転換における電力政策、実装能力、ボトルネックの移動」の再現データとコード
Replication Data and Code for "Beyond Generation Targets: Electricity Policy, Implementation Capacity and Bottleneck Relocation in Sweden's Energy Transition" (原題)
Rodriguez Morales, Jorge Ernesto, Höök, Mikael
🤖 gxceed AI 要約
日本語
スウェーデンの電力システム転換を対象に、長期経路モデリングと時間別運用ストレステストを組み合わせた分析の再現パッケージ。3つの経路は需要目標を共有しつつ技術・実装条件が異なり、長期設備容量を固定パラメータとして時間別分析に引き継ぐ。蓄電分析は2050年残余負荷とVRE余剰に対する事後診断であり、経路の再設計は行わない。
English
A replication package for a socio-technical analysis of Sweden's electricity transition, combining long-term pathway modelling with hourly operational stress testing. Three pathways share demand milestones but differ in technology and implementation assumptions; long-term capacities are transferred as fixed parameters into hourly analysis. Storage is assessed as a post-dispatch diagnostic on 2050 residual and VRE-surplus profiles, not as endogenous pathway redesign.
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
日本でも再エネ導入拡大に伴い、発電目標だけでなく系統・運用・蓄電のボトルネックが顕在化している。本分析の「ボトルネック移動」という視点は、第7次エネルギー基本計画やGX推進の実装論に示唆を与える。
In the global GX context
As global disclosure frameworks (ISSB, CSRD) push companies toward transition plans, this work highlights that generation targets alone are insufficient—implementation capacity and bottleneck relocation matter. It offers a methodological template for stress-testing transition pathways against operational realities.
👥 読者別の含意
🔬研究者:長期経路モデルと時間別運用分析を接続する再現可能な手法として参考になる。
🏢実務担当者:再エネ調達や蓄電投資の計画において、目標と実装のギャップを評価する視点を提供する。
🏛政策担当者:発電目標偏重の政策設計に対し、系統・運用・蓄電のボトルネックを考慮した実装能力の重要性を示す。
📄 Abstract（原文）
This repository provides the code, processed data, model outputs, validation material, sensitivity analyses, computational notebooks, and derived result tables supporting the quantitative analysis presented in “Beyond Generation Targets: Electricity Policy, Implementation Capacity and Bottleneck Relocation in Sweden's Energy Transition.” The package documents a sequential socio-technical electricity-system analysis combining long-term pathway modelling with hourly operational stress testing. It contains the canonical long-term model and reported sensitivity specifications; the processed hourly load, variable-renewable-energy and hydrological inputs used in the operational analysis; the frozen M3-B hourly model and outputs; full-precision validation and hydro-capacity and biomass sensitivity material; computational development/audit notebooks; and compact derived tables for residual-load episodes, surplus–deficit chronology and the standardized post-dispatch storage diagnostic. The three modelled pathways share common electricity-demand milestones but differ in their assumed technology and implementation conditions. The hourly analysis transfers long-term installed capacities as fixed parameters and evaluates all pathway-year cases against a common 2019 chronology. The storage analysis is a post-dispatch diagnostic applied to the frozen 2050 residual and VRE-surplus profiles and does not endogenously redesign the modelled pathways. The included Jupyter notebooks preserve computational development and audit provenance and may contain exploratory or superseded cells. The canonical final model executables are identified explicitly in the repository README. Original third-party datasets and institutional source documents are not comprehensively redistributed; their sources and methodological roles are documented in the associated manuscript and Supplementary Appendix.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/23082477first seen 2026-10-02 04:13:17
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