Achieving Energy Self-Sufficiency: An Electricity Supply Analysis of Negros Island Region, Philippines
エネルギー自給自足の達成：フィリピン・ネグロス島地域の電力供給分析 (AI 翻訳)
Iris Nicole Carson, Joshua Manuel Louise Kempis, Janaica Ceranio, Samuel Matthew Dumlao, Erees Queen Macabebe
🤖 gxceed AI 要約
日本語
この研究は、フィリピンのネグロス島地域の電力供給をPyPSAを用いて分析した。地元の再生可能エネルギー源の活用不足に焦点を当て、シナリオ分析を行った。結果、再生可能エネルギーで大部分の需要を賄えるが、約35%はディーゼル発電に依存。100%再生可能エネルギーには大容量の蓄電池が必要で、太陽光より地熱が経済的に優位であることが示された。
English
This study analyzes the electricity supply of Negros Island Region, Philippines using PyPSA modeling with 2022 data. It explores scenarios of local renewable energy utilization. Results show that even with renewables, about 35% of demand is met by diesel. A 100% renewable scenario requires significant expansion of battery storage, and geothermal energy is optimized over solar for flexibility and cost.
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
フィリピンの島嶼地域の事例だが、日本の離島における再生可能エネルギー導入計画やエネルギー自給戦略に示唆を与える。特に、蓄電池容量の拡大と地熱エネルギーの柔軟性活用は、日本の地熱資源豊富な地域でも参考になる。
In the global GX context
This paper provides a detailed case study of renewable energy integration in an island region, relevant for global energy transition planning. It demonstrates the importance of storage and flexible generation (geothermal) in achieving high renewable penetration. The PyPSA modeling methodology is transferable to other regions.
👥 読者別の含意
🔬研究者:Useful for energy system modelers and researchers studying island renewable integration.
🏢実務担当者:Insights for energy planners and utilities in island regions on storage and geothermal investments.
🏛政策担当者:Lessons for policymakers on supporting renewable energy transitions in island contexts, highlighting need for storage infrastructure.
📄 Abstract（原文）
The urgency to transition to renewable energy sources serves as a motivation to analyze energy systems. This study looks into the electricity supply of the Negros Island Region in the Philippines, focusing on the underutilization of locally available renewable energy sources. It explores scenarios where the island relies solely on its local energy resources, emphasizing the need for increased storage unit capacity and flexibility of power plants. The energy system was modeled using PyPSA with data from 2022. Results show that in one scenario, renewable energy sources could supply most of the region's electricity demand, but around 35% is still sourced from a local diesel power plant. The second scenario which considers 100% renewable energy sources requires the expansion of the BESS in the region to store electricity from geothermal energy. This shows that despite the abundance of solar energy, the model was optimized towards geothermal energy for flexibility and economic considerations.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1051/e3sconf/202671205004/pdffirst seen 2026-06-08 04:40:34
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