A tool for economic assessment of investment decisions for multi-energy systems
マルチエネルギーシステムの投資決定のための経済評価ツール (AI 翻訳)
A Belda, Andrea Gabaldón, Vincenzo Santovito, Carlos Bernabé-Melo, Ursula Eicker
🤖 gxceed AI 要約
日本語
本論文は、再生可能エネルギーコミュニティ（REC）向けに、電力精算・補償スキームを組み込んだ統合最適化フレームワークに基づく規制対応型計画ツールを提案する。スペイン・イスパステルの実証ケースに適用し、集合構成と年次精算が個別・月次精算よりも優れ、バッテリー貯蔵の付加価値が限定的であることを示した。コミュニティレベルの計画と投資決定を支援する。
English
This paper presents a regulation-aware planning tool for Renewable Energy Communities (RECs) based on an integrated MILP optimization framework that embeds electricity settlement and compensation rules. Applied to a real case in Spain, it shows that collective configurations with annual settlement outperform individual and monthly alternatives, while battery storage adds limited benefit under annual settlement. The tool supports community-level planning and investment decisions by enabling transparent comparison of regulatory-driven transition pathways.
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
本論文は、スペインの事例を用いて精算スキームが再エネコミュニティの最適設計に与える影響を定量化。日本でも地域エネルギーコミュニティ構想が進む中、精算制度の設計が投資判断にどう影響するかを示す示唆に富む。
In the global GX context
This paper offers a regulation-aware planning tool that enables transparent comparison of alternative settlement schemes for multi-energy communities. Its findings on the superiority of collective configurations and annual settlement are valuable for global policymakers and community planners designing effective energy transition pathways.
👥 読者別の含意
🔬研究者:This paper provides a novel optimization framework that embeds electricity settlement rules, enabling comparative analysis of regulatory impacts on community energy system design.
🏢実務担当者:Community energy planners can use this tool to evaluate investment configurations under different regulatory schemes, identifying cost-effective pathways.
🏛政策担当者:Policymakers can gain insights on how settlement horizon and aggregation level influence community solar and storage adoption.
📄 Abstract（原文）
Renewable Energy Communities (RECs) enable collective participation in local renewable generation, storage, distribution and consumption. However, optimal design is shaped by electricity settlement and compensation schemes. These regulatory mechanisms are often represented exogenously in planning tools, limiting transparent comparison of transition pathways. This paper presents a regulation-aware planning tool based on an integrated optimisation framework for community-scale energy systems. Electricity settlement and compensation rules for local self-consumption schemes are embedded within a mixed-integer linear model, with photovoltaic (PV) generation considered as primary application. The framework enables techno-economic assessment of individual and collective investment configurations under net billing (NB), net metering (NM) and feed-in tariff (FiT) schemes, with monthly and annual settlement horizons. Electricity system optimisation is coupled with low-carbon heat supply options, including biomass-based cogeneration and individual heat pumps. The framework is applied to a real-world case in Ispaster (Spain). Results show that regulatory design and aggregation level drive optimal sizing and economic performance. Collective configurations and annual settlement consistently outperform individual and monthly alternatives, while battery storage adds limited value once annual settlement is available. The proposed approach supports community-level planning and investment decisions through regulation-aware comparison of alternative energy transition options.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.renene.2026.126136first seen 2026-07-24 05:36:42
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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。