Neighborhood Renovation for Reaching EU Targets with Smart Analysis on the Way to 2030 and 2035
EU目標達成のための近隣再生：2030年から2035年に向けたスマート分析 (AI 翻訳)
Ebru Alakavuk, Duygu Çınar Umdu, Aleyna Koyuncu, Nilay Derya Baro
🤖 gxceed AI 要約
日本語
本研究は、近隣スケールでのネットゼロエネルギー・排出達成のための簡略化されたスマート分析手法と意思決定フレームワークを提案する。トルコ・イズミルの混合利用地域を対象に、屋上太陽光発電、空気熱源ヒートポンプ、太陽光LED街灯、遊休公共スペースの活用の4つの介入戦略を評価。10%の年間暖房システム交換率と全面的な太陽光発電導入により、6～7年でネットゼロエネルギーバランスを達成可能と示す。
English
This study introduces a simplified smart analysis method and decision-support framework for net-zero energy and emissions transitions at the neighborhood level. Applied to a mixed-use area in Izmir, Turkey, it evaluates four intervention strategies: rooftop PV, air-source heat pumps, solar LED street lighting, and repurposing idle public spaces. Results show that a gradual renovation with 10% annual heating replacement and full PV deployment can achieve net-zero energy balance in 6-7 years, with economic viability through subsidy reallocation.
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
日本の都市再生や省エネ政策において、近隣スケールでの再エネ導入と段階的改修の効果を定量化する手法は参考になる。特に、補助金の再配分による経済的実現性の検討は、日本の補助金制度設計に示唆を与える。
In the global GX context
This paper contributes to the global GX discourse by demonstrating a replicable, low-disruption neighborhood decarbonization framework aligned with EU climate targets. Its simplified analytical method offers a practical tool for cities worldwide to accelerate urban energy transitions using standardized data.
👥 読者別の含意
🔬研究者:Provides a simplified modeling approach for neighborhood-scale decarbonization that can be adapted to other urban contexts.
🏢実務担当者:Offers a clear decision-support tool for municipalities and urban planners to implement cost-effective, low-disruption renovation strategies.
🏛政策担当者:Demonstrates how subsidy reallocation from fossil fuels to renewables can make neighborhood renovation economically viable, relevant for policy design.
📄 Abstract（原文）
Neighborhood-scale decarbonization is essential to achieving urban climate neutrality, yet existing methods often rely on complex, technology-intensive models that are difficult to implement in aging urban areas. This study introduces a simplified smart analysis method and decision-support framework to facilitate net-zero energy and emissions transitions at the neighborhood level through impactful, low-disruption interventions. Applied to a mixed-use neighborhood in Izmir, Türkiye, part of the European Union Mission for Climate-Neutral and Smart Cities, the methodology evaluates four intervention strategies: rooftop Photovoltaic systems, air-source heat pumps, solar-powered LED street lighting, and repurposing idle public spaces. The analysis quantifies energy demand, CO2 emissions, and economic performance based on standardized data and incremental renovation scenarios. Results show that a gradual renovation approach, with a 10% annual replacement rate for heating systems, full rooftop Photovoltaic deployment, and street lighting retrofitting, can achieve a net-zero energy balance in 6–7 years. Redirecting fossil fuel and electricity subsidies to support renewable technologies makes these interventions economically viable within the same period. This framework demonstrates that neighborhood-scale climate neutrality can be attained without extensive structural changes, providing a replicable tool for cities with similar conditions aiming to meet European Union climate targets.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/buildings16091729first seen 2026-05-17 04:45:22
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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。