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「気候緩和と適応を考慮した長期エネルギー計画：ブラジルのエネルギー転換への示唆」のデータセット

Datasets for the publication " Climate mitigation and adaptation in long-term energy planning: implications for Brazil's energy transition" (原題)

Conde Santos Borba, Paula

Zenodoデータセット2026-08-28#エネルギー転換対象セクター: power
DOI: 10.5281/zenodo.22148924
原典: https://zenodo.org/records/22148924

🤖 gxceed AI 要約

日本語

本データセットは、ブラジルのネットゼロエネルギー転換における気候変動影響と適応戦略を分析するためのCalliopeモデル出力を含む。土地利用制約と気候シナリオ（現状、SSP2-4.5、SSP5-8.5）を組み合わせた6つのシナリオを提供し、水力、風力、太陽光、電力需要への気候影響を考慮する。技術代替、貯蔵、空間再配置による適応可能性を評価できる。

English

This dataset contains Calliope model outputs for analyzing climate change impacts and adaptation in Brazil's net-zero energy transition. It includes six scenarios combining land-use constraints and climate pathways (baseline, SSP2-4.5, SSP5-8.5), with climate-induced changes to hydropower, wind, solar, and demand. Users can explore technology substitution, storage, and spatial reallocation for adaptation.

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

ブラジルのエネルギー転換に関するデータセットだが、日本のエネルギー計画や気候適応策にも示唆を与える。特に、再生可能エネルギーの気候変動による変動性を考慮した長期計画の方法論は、日本のエネルギー政策や企業の再エネ導入戦略に参考となる。

In the global GX context

This dataset provides a rigorous framework for integrating climate adaptation into energy planning, relevant to global discussions on climate-resilient energy systems. It demonstrates how to model climate impacts on renewable resources and assess adaptation options, which is valuable for countries and companies aligning with TCFD and ISSB climate resilience disclosures.

👥 読者別の含意

🔬研究者:Provides a comprehensive dataset and modeling approach for studying climate impacts on renewable energy systems and adaptation strategies.

🏢実務担当者:Offers insights into how climate change may affect renewable energy availability and the need for flexible infrastructure planning.

🏛政策担当者:Highlights the importance of integrating climate adaptation into national energy planning to ensure resilient net-zero transitions.

📄 Abstract（原文）

This dataset contains the Calliope model outputs supporting the study of climate change impacts and adaptation strategies in Brazil’s net-zero energy transition. The simulations use a spatially explicit, sector-coupled energy system model representing electricity generation, bioenergy, hydrogen, synthetic fuels, transport, industry, storage and energy infrastructure. The dataset comprises six core scenarios formed by combining two land-availability regimes with three climate conditions: Technical potential ( baseline ) : infrastructure expansion is constrained by the common legal, environmental and physical land exclusions adopted in the study. Conservation ( conservation ) : applies the technical-potential exclusions and additionally excludes priority areas for biodiversity conservation. Each land regime is evaluated under: No climate change ( noclimate ) : reference renewable-resource conditions; SSP2–4.5 ( ssp245 ) : an intermediate climate-change pathway; SSP5–8.5 ( ssp585 ) : a high-emissions climate-change pathway. Climate-related changes are applied to hydropower, onshore wind, solar generation and electricity demand. Hydropower projections are based on an ensemble combining ten global climate models and three hydrological models. Changes in wind and solar resources are represented using climate-change factors derived from CMIP6 projections. The files included in this deposit are: out_scenario_noclimate_baseline_2013.nc out_scenario_noclimate_conservation_2013.nc out_scenario_ssp245_baseline_2013.nc out_scenario_ssp245_conservation_2013.nc out_scenario_ssp585_baseline_2013.nc out_scenario_ssp585_conservation_2013_spores10.nc The suffix 2013 identifies the meteorological year used to represent the system’s hourly renewable-resource and demand profiles; it does not represent the energy-system planning year. The model uses projected 2050 energy-service demands and techno-economic assumptions. The NetCDF files preserve the original Calliope model results, including installed and newly built capacities, energy production, technology operation, storage behaviour, resource availability, transmission and fuel flows, system costs and other model variables. They can be opened using Calliope 0.6.10 or inspected directly with software supporting NetCDF, such as Python’s xarray package. The SSP5–8.5 Conservation file additionally contains ten near-optimal system configurations generated using SPORES. These alternatives are constrained to remain within 10% of the minimum system cost and are used to investigate technological and spatial flexibility beyond a single least-cost solution. Together, the scenarios allow users to examine how climate-induced changes in renewable resources interact with land conservation constraints and how Brazil’s energy system can adapt through technology substitution, additional infrastructure, storage deployment and spatial reallocation of renewable capacity. The model configuration, input structure and related analysis code are available in the associated GitHub repository. Users of this dataset should cite both the associated scientific article and the Zenodo record.

🔗 Provenance — このレコードを発見したソース

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。