サブサハラ・アフリカにおける国内エネルギーアクセスとグリーン燃料輸出のための太陽光発電配分：入力データと最適化結果
Solar Electricity Allocation for Domestic Energy Access and Green Fuel Exports in Sub-Saharan Africa: Input Data and Optimisation Results (原題)
Atughwe, Raymond, Siddharth, Gadkari, Short, Michael
🤖 gxceed AI 要約
日本語
サブサハラ・アフリカ（ナイジェリア・ケニア・南アフリカ）を対象に、太陽光発電を国内電力需要とグリーン水素・燃料輸出向けにどう配分するかを地理分散型最適化モデルで検討した研究のデータセット。日射量・電力需要などの入力データと最適化出力を収録し、再現性と検証を可能にする。
English
Dataset supporting a geographically distributed optimisation study on allocating solar PV electricity between domestic demand and green hydrogen/fuel export in Nigeria, Kenya and South Africa. It provides solar irradiation and electricity demand inputs plus optimisation outputs, enabling transparency, verification and reproducibility of renewable allocation and green fuel supply-chain findings.
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
日本企業が関与する水素・グリーン燃料の国際サプライチェーンや資源調達の観点で、途上国側の国内アクセスと輸出のトレードオフを定量化する材料として参考になる。
In the global GX context
Speaks to the global green hydrogen and e-fuel export debate and just-transition concerns over diverting renewables from domestic access — relevant to transition finance and Article 6-style international supply chains.
👥 読者別の含意
🔬研究者:Provides open input/output data for reproducing solar-to-hydrogen allocation optimisation in Sub-Saharan Africa.
🏢実務担当者:Useful for firms scoping green hydrogen/e-fuel offtake and export projects in African markets.
🏛政策担当者:Illustrates the domestic-access vs export trade-off regulators must weigh in hydrogen export strategy.
📄 Abstract（原文）
This dataset supports the research study entitled Balancing Domestic Energy Access and Green Fuel Exports in Sub-Saharan Africa: Optimising Solar Electricity Allocation. The study investigates the allocation of solar photovoltaic electricity between domestic energy requirements and hydrogen production for green fuel synthesis, considering the balance between domestic energy access and potential green fuel exports. The analysis covers Nigeria, Kenya and South Africa using a geographically distributed optimisation framework. The dataset comprises input data used to parameterise the optimisation model, including solar irradiation data and electricity demand data, together with the corresponding numerical outputs generated by the optimisation model. The materials are intended to support the interpretation and verification of the study's findings concerning renewable electricity allocation and the production of green fuels. The dataset is organised to distinguish the model inputs from the resulting optimisation outputs. Where applicable, geographical identifiers are retained to facilitate location-specific analysis across the study countries. The deposited materials support research transparency, reproducibility and further investigation into solar electricity allocation, green hydrogen production and green fuel supply chains in Sub-Saharan Africa.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/23478285first seen 2026-10-26 04:11:00 · last seen 2026-10-29 04:12:41
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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。