Multi-Objective Optimization of Low-Carbon Repair-and-Retrofit Packages for Near-Zero Energy Upgrading of Existing Affordable Housing in China’s High-Altitude Cold Regions
中国高海拔寒冷地域の既存低所得者向け住宅における低炭素改修・レトロフィットパッケージの多目的最適化 (AI 翻訳)
Li Fei
🤖 gxceed AI 要約
日本語
この研究は、中国の高海拔寒冷地域にある既存の低所得者向け住宅を対象に、低炭素改修パッケージの多目的最適化フレームワークを開発した。建物外皮、換気、暖房の電化、オンサイト再生可能エネルギー、制御戦略を考慮し、炭素削減、ライフサイクルコスト、居住者の負担可能性のバランスを評価。パレート最適解から、適度な投資で大幅な運用炭素削減が可能な膝領域を特定し、グリッド脱炭素化と支援策が低炭素経路の実現性と公平性を拡大することを示した。
English
This study develops a multi-objective optimization framework for low-carbon repair-and-retrofit packages for existing affordable housing in China's high-altitude cold regions. It evaluates building envelope, ventilation, heating electrification, renewables, and controls, balancing carbon reduction, life-cycle cost, and affordability. Pareto-optimal solutions reveal a knee region where substantial operational carbon reductions are achievable at moderate investment. Grid decarbonization and financial support can expand feasible low-carbon pathways and improve equity.
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
日本の既存住宅ストックの改修やZEB推進において、特に寒冷地での低炭素化手法の最適化は重要である。本論文の多目的最適化アプローチや負担可能性を考慮した政策シナリオ分析は、日本の住宅政策や補助金設計に示唆を与える。
In the global GX context
Globally, this paper contributes to building decarbonization research for affordable housing in challenging climates. Its integration of carbon reduction, cost, and equity within a multi-objective optimization framework aligns with the just transition agenda. The findings on system synergies and policy levers are relevant for policymakers and practitioners seeking scalable near-zero energy retrofits.
👥 読者別の含意
🔬研究者:This paper provides a robust optimization framework that can be adapted for other building types and climates, and highlights the importance of considering affordability constraints in low-carbon retrofit planning.
🏢実務担当者:The identified knee region and system synergies (heat recovery, heat pumps, PV) offer practical guidance for designing cost-effective and socially feasible retrofit packages.
🏛政策担当者:The policy scenario analysis demonstrates that grid decarbonization and targeted financial support are crucial for expanding equitable low-carbon pathways in affordable housing retrofits.
📄 Abstract（原文）
Background: Upgrading existing housing, particularly affordable housing in China’s high-altitude cold regions, to near-zero energy standards requires balancing three key considerations: carbon reduction, life-cycle cost, and residents’ affordability. Methods: We developed a simulation-based multi-objective optimization framework to evaluate repair-and-retrofit packages involving the building envelope, ventilation, heating electrification, on-site renewables, and control strategies, subject to social feasibility and affordability constraints. Results: The Pareto-optimal solutions revealed a clear knee region in which substantial operational carbon reductions and acceptable thermal safety could be achieved at moderate investment levels. Further decarbonization was enabled by strong system-level synergies among heat recovery ventilation, heat pumps, and photovoltaic systems. Affordability-constrained optimization shifted the feasible solution space toward options associated with lower household energy burdens and more favorable distributional outcomes. Conclusions: Policy scenario analysis indicates that grid decarbonization and targeted financial support can expand the feasible space for low-carbon pathways and improve equity, thereby enabling scalable near-zero energy upgrading strategies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/buildings16112265first seen 2026-06-06 04:59:33
🔔 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。