再生可能エネルギーコミュニティとエネルギー貧困:差別化価格とインセンティブ配分に基づく新しい利益共有モデル
Renewable energy communities and energy poverty: A novel benefit-sharing model based on differentiated pricing and incentive allocation (原題)
D'Adamo, Idiano, D'Agostino, Lorenzo, Gastaldi, Massimo
🤖 gxceed AI 要約
日本語
本研究は、再生可能エネルギーコミュニティ(REC)内で脆弱な消費者を支援するための新しい利益共有モデルを提案する。差別化された価格設定とインセンティブの的を絞った配分により、経済効率と社会的公平性の両方を向上させる。シミュレーションの結果、NPV/Sizeは2680〜5064 €/kW、IRRは32〜70%、割引回収期間は2〜5年に改善し、脆弱世帯の年間エネルギー支出を貧困閾値の10%未満に抑えることができた。
English
This study proposes a novel benefit-sharing model for Renewable Energy Communities (RECs) to support vulnerable consumers through differentiated pricing and targeted incentives. Simulations show improved economic performance (NPV/Size 2680-5064 €/kW, IRR 32-70%, payback 2-5 years) and social equity, reducing vulnerable households' energy expenditure below the 10% poverty threshold. Tailored redistribution is more effective than uniform allocation.
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、再生可能エネルギーの導入拡大に伴い、エネルギー貧困対策が重要な政策課題となっている。RECのようなコミュニティ主導のモデルは、地域分散型エネルギーシステムの推進と社会的包摂を両立させる可能性があり、日本のエネルギー政策や地域活性化に示唆を与える。
In the global GX context
This research contributes to the global discourse on just energy transition by demonstrating how RECs can combine economic efficiency with social equity. The findings are relevant for policymakers and practitioners designing community energy projects, especially in the context of the EU's Clean Energy Package and similar initiatives worldwide.
👥 読者別の含意
🔬研究者:Provides a quantitative framework for evaluating benefit-sharing mechanisms in RECs, useful for further research on energy justice and community energy.
🏢実務担当者:Offers a practical model for designing RECs that address energy poverty, potentially applicable to corporate community engagement or energy service provision.
🏛政策担当者:Highlights the effectiveness of targeted incentives over uniform allocation, informing policy design for energy poverty alleviation and community energy support.
📄 Abstract(原文)
The transition to sustainable energy systems requires increasing attention to the challenge of energy poverty. In this context, Renewable Energy Communities (RECs) are emerging as promising tools for promoting both decarbonization and social equity. This study aims to develop and test a new benefit-sharing model within RECs, designed to support vulnerable consumers through differentiated pricing mechanisms and targeted allocation of incentives. The methodology is based on a discounted cash flow analysis implemented in dedicated Python-based software (S-REC), which simulates energy, economic, and social flows within a REC configuration that includes prosumers and consumers with varying levels of vulnerability. The results show that the proposed benefit-sharing model improves both economic performance and social equity. Across the scenarios analyzed, the Net Present Value per unit of installed capacity (NPV/Size) ranges from 2680 €/kW to 5064 €/kW, the Profitability Index (PI) increases from 2.22 to 3.30, the Internal Rate of Return (IRR) varies between 32 % and 70 %, and the Discounted Payback Time (DPBT) decreases from 5 to 2 years. In addition, vulnerable households reduce their annual energy expenditure below the 10 % energy poverty threshold through differentiated tariffs and targeted incentive transfers. The model also demonstrates that tailored redistribution mechanisms are more effective than uniform allocation approaches in directing support to households experiencing energy poverty. These findings suggest that RECs can serve as effective energy welfare tools, combining economic efficiency with social inclusion and contributing to a more just and resilient energy transition.
🔗 Provenance — このレコードを発見したソース
- base https://hdl.handle.net/11573/1771742first seen 2026-09-01 12:04:56
🔔 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。