Energy security index towards net-zero emissions in Nigeria
ナイジェリアにおけるネットゼロ排出に向けたエネルギー安全保障指数 (AI 翻訳)
Wasiu Kunle Jimoh, A. Bangviwat, P. Chaiwiwatworakul, C. Sorapipatana, P. Trinuruk, Pumyos Vallikul
🤖 gxceed AI 要約
日本語
ナイジェリアのエネルギー安全保障を評価する複合指標を構築し、2000〜2060年のデータを楽観的・現状維持・悲観的の3シナリオで分析。過去はインフラ老朽化や化石燃料依存で低調だったが、2030年以降は再生可能エネルギー導入により回復が見込まれる。
English
This study constructs a composite Energy Security Index for Nigeria within its Energy Transition Plan, analyzing historical (2000-2024) and projected data to 2060 under optimistic, business-as-usual, and pessimistic scenarios. Results show past declines due to infrastructure deterioration and fossil fuel dependence, with recovery expected post-2030, especially in the optimistic scenario with rapid renewable deployment.
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
ナイジェリアに特化した研究だが、日本のGX政策におけるエネルギー安全保障評価や発展途上国支援の参考になる。特に、SSBJを意識する日本企業がグローバルサプライチェーンを通じて関与する地域の移行評価に応用可能。
In the global GX context
This paper provides a robust framework for evaluating energy security during the energy transition, relevant for global climate policy and net-zero planning. The methodology and scenario analysis can be adapted for other developing economies, contributing to the broader discourse on balancing sustainability and resilience.
👥 読者別の含意
🔬研究者:A composite index methodology with scenario analysis for tracking energy security under net-zero pathways, applicable to other country contexts.
🏛政策担当者:Use the Energy Security Index to prioritize investments and monitor transition progress in Nigeria's energy sector.
📄 Abstract（原文）
This study evaluates Nigeria’s energy security within the framework of the Nigeria Energy Transition Plan by constructing a composite Energy Security Index (ESI) using nine indicators grouped into availability, resilience, and sustainability & affordability. Historical data (2000–2024) and projected trends to 2060 were standardized using a min–max method and aggregated through linear weighting. Scenario and sensitivity analyses were applied using Optimistic, Business-as-Usual (BAU), and Pessimistic pathways. The results show that availability declined due to infrastructure deterioration, refinery inefficiencies, and rising import dependence. Resilience remained persistently weak, constrained by grid instability, limited diversification, and low system redundancy. Sustainability & affordability also underperformed historically because of fossil-fuel dependence and slow renewable energy adoption. From 2030 onward, all scenarios indicate recovery, though at different rates. Resilience improves first through diversification and infrastructure upgrades, followed by availability gains as domestic supply expands and import dependence declines. Sustainability rises more rapidly after 2030, supported by renewable deployment and decarbonization measures. By 2060, the Optimistic scenario records the strongest overall performance, while BAU shows moderate progress, and the Pessimistic pathway remains constrained. The framework can support policymakers in prioritizing investments, monitoring transition progress, and identifying future energy security risks.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.e3s-conferences.org/articles/e3sconf/pdf/2026/38/e3sconf_icsree2026_06001.pdffirst seen 2026-07-05 05:33:29
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。