OSeMOSYSを用いた拡張計画における多地域モデリングと統合
Multi-region modeling and integration in expansion planning using OSeMOSYS (原題)
Pedro Peters, Bruna C. Ferreira, Paulo Vitor Barbosa Ramos, Leonardo De A. Bitencourt, Taco Niet, Bruno Borba, Bruno Henrique Dias
🤖 gxceed AI 要約
日本語
OSeMOSYSフレームワークで多地域・相互接続型エネルギーシステムの長期拡張計画をモデル化する手法を提案。標準定式化に送電リンク（損失・投資コスト・運用制約・拡張要件）を明示的に組み込む拡張を行う。ブラジルを事例に時間・空間・技術解像度を変えたシナリオ分析を実施し、解像度の選択が導入容量・電源構成・送電拡張に大きく影響することを示した。高解像度化に伴う計算負荷とソルバー限界も明らかにしている。
English
This study extends the OSeMOSYS framework to explicitly model inter-regional electricity transmission—including losses, investment costs, operational limits, and expansion—within long-term expansion planning. A Brazilian case study across scenarios of varying temporal, spatial, and technological resolution shows that resolution choices strongly shape installed capacity, energy mix, and transmission needs. It also highlights computational trade-offs and solver limits at high resolution, underscoring the need to balance detail, tractability, and policy relevance.
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
日本では地域間連系線の増強や電源構成の長期計画がGX政策の焦点であり、解像度選択が投資経路に与える影響の知見は、系統計画や脱炭素シナリオ策定の実務に示唆を与える。ただし開示・制度面の直接的な含意は限定的。
In the global GX context
For global GX scholarship, this contributes methodological rigor to transition-pathway modeling—showing how spatial and temporal resolution choices alter investment and transmission outcomes—which underpins credible transition plans and policy scenarios feeding into disclosure and target-setting.
👥 読者別の含意
🔬研究者:多地域エネルギーシステムモデリングにおける解像度選択と送電表現の感度を定量化する手法として参考になる。
🏢実務担当者:長期の電源・系統投資計画を評価する際、モデル解像度が結論を左右する点を意思決定に反映できる。
🏛政策担当者:系統増強や脱炭素シナリオ策定において、モデルの詳細度と政策的有用性のバランスを設計する際の指針となる。
📄 Abstract（原文）
As energy systems become increasingly interconnected and complex, robust modeling tools are needed to capture regional interactions and guide sustainable investment decisions. This study models multi-region, interconnected energy systems within the long-term expansion planning problem using the OSeMOSYS framework. While the standard OSeMOSYS formulation allows the representation of multiple regions, it does not explicitly represent inter-regional electricity exchanges. The proposed approach extends the original formulation by introducing explicit modeling of transmission links, including losses, investment costs, operational limits, and expansion requirements. The approach extends existing formulations to represent inter-regional electricity exchanges in greater detail, incorporating losses, costs, operational limits, and expansion requirements. A case study of the Brazilian energy system is presented, structured into multiple scenarios that vary in temporal, spatial, and technological resolution. Results show that resolution choices significantly influence model outcomes, including installed capacities, energy mix composition, and inter-regional transmission needs. Higher temporal resolution leads to divergent investment pathways, particularly in offshore wind and natural gas, while higher spatial resolution emphasizes regional resource allocation and transmission expansion. The analysis also reveals the computational trade-offs of increased model complexity, highlighting limitations of current solvers when addressing high-resolution, large-scale systems. Findings demonstrate the importance of defining clear modeling objectives and scope to balance detail, tractability, and policy relevance. The proposed methodology offers valuable guidance for energy system planners and researchers, enabling more transparent assessment of trade-offs in model construction and supporting informed decision-making for sustainable energy transitions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.ref.2026.100966first seen 2026-11-05 04:57:45 · last seen 2026-11-06 04:37:02
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