A RESILIENCY MODEL FOR RENEWABLE ENERGY SYSTEMS AGAINST EXTREME NETWORK GRID STRESS: THE 2020 COVID-19 PANDEMIC IN MINDANAO
再生可能エネルギーシステムの極端なネットワークグリッドストレスに対するレジリエンスモデル：2020年COVID-19パンデミックにおけるミンダナオ (AI 翻訳)
Erick George Uy
🤖 gxceed AI 要約
日本語
本研究は、フィリピン・ミンダナオ島を対象に、COVID-19パンデミック下での再生可能エネルギーシステムのレジリエンスモデルを開発した。エネルギー需給バランス、構成、コスト、信頼性の4プロファイルで評価し、総合スコア40.5/48を達成。コストプロファイルは完全なレジリエンスを示し、需要減少の影響は限定的であった。開発途上地域での系統レジリエンス向上に示唆を与える。
English
This study develops a resiliency model for renewable energy systems in Mindanao, Philippines, during the COVID-19 pandemic. It evaluates four profiles: energy balance, energy mix, cost, and reliability, achieving an aggregate score of 40.5/48. The cost profile showed perfect resilience due to pre-pandemic power purchase agreements, while demand reductions had minor impacts. The model offers insights for enhancing power system resilience in developing regions.
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
フィリピン事例だが、日本でも電力系統のレジリエンス向上や再生可能エネルギー統合は重要課題。本研究のモデルは、日本の地域系統（例：北海道・沖縄）のレジリエンス評価に応用可能性がある。
In the global GX context
This paper contributes to global literature on renewable energy system resilience during crises, relevant to ISSB and TCFD disclosures on climate resilience. The model's framework can inform grid planning in regions vulnerable to extreme events, supporting transition finance for resilient infrastructure.
👥 読者別の含意
🔬研究者:Provides a quantitative resilience assessment framework for renewable-integrated power systems applicable to other regions.
🏢実務担当者:The four-profile model can be used by utility companies to evaluate and improve grid resilience under stress scenarios.
🏛政策担当者:Highlights the importance of pre-pandemic planning (PPAs) for cost stability, offering lessons for energy policy in developing economies.
📄 Abstract（原文）
The COVID-19 pandemic has highlighted critical vulnerabilities in global power systems, particularly in regions like Mindanao, Philippines. This study aims to develop a comprehensive resiliency model for renewable energy (RE) systems by leveraging existing power system metrics in Mindanao. The model is structured into four profiles: energy balance, energy mix, cost, and reliability, each representing various aspects of the power system's performance before and during the pandemic. The findings reveal that the energy balance and energy mix profiles experienced slight impacts due to reduced demand and pre-pandemic planning, achieving resiliency scores of 16.33/18 and 13.5/18, respectively. The cost profile remained unaffected with a perfect resiliency score of 6/6, attributed to pre-pandemic power purchase agreements, while the reliability profile showed minimal disruption with a score of 4.67/6. Overall, the study achieved an aggregate resiliency score of 40.5/48, indicating that the Mindanao power system maintained stable operations during the pandemic. The research successfully incorporated RE performance into the resiliency model, though it acknowledges the model's limitations and suggests the inclusion of additional metrics for further refinement. This study contributes valuable insights into enhancing power system resilience, particularly in developing regions, amid unprecedented global challenges. JEL: Q42, Q48, L94, C52, H12
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://oapub.org/soc/index.php/EJMMS/article/download/2214/2774first seen 2026-07-24 06:50:42
🔔 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。