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A Comparative Techno-Economic Assessment of Active and Passive Building Strategies: Energy Performance, Thermal Comfort, and LCOE Analysis

能動的・受動的建築戦略の比較技術経済評価:エネルギー性能、温熱快適性、LCOE分析 (AI 翻訳)

Gizem Nur Bulanık Durmuş

Buildings📚 査読済 / ジャーナル2026-06-24#省エネOrigin: Global経営インパクト: コスト削減対象セクター: construction
DOI: 10.3390/buildings16132496
原典: https://doi.org/10.3390/buildings16132496
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🤖 gxceed AI 要約

日本語

アンカラの大学建物を対象に、実測の電力消費データを用いて、PV、トロンブ壁、PCM、緑化屋根などの能動・受動的改修戦略を動的シミュレーションで比較評価。PV導入で系統電力消費を89.76%削減し、トロンブ壁が最も高い省エネと低いLCOSEを示した。PCMは室温安定性、緑化屋根は夏季の温度制御に有効で、割引率による感度分析も実施。

English

This study evaluates active and passive retrofit strategies for a university building in Ankara using dynamic simulations and real operational data. PV integration reduces grid electricity by 89.76%, while Trombe wall offers highest energy savings and lowest LCOSE. PCM improves thermal stability, green roof aids summer cooling, and sensitivity analysis on discount rate is included.

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ZEB化や既存建築物の脱炭素改修に示唆を与える。特に、LCOEやLCOSEを用いた経済性評価は、補助金や投資判断に有用で、SSBJや省エネ基準対応にも貢献する。

In the global GX context

This study provides a multi-dimensional framework for evaluating building retrofit strategies, aligning with global decarbonization goals. The use of LCOE and carbon metrics supports decision-making for sustainable building investments, relevant to TCFD and transition finance.

👥 読者別の含意

🔬研究者:Provides a comparative method integrating energy, carbon, and economic metrics for building retrofits.

🏢実務担当者:Offers insights into cost-effective retrofit strategies for reducing carbon emissions and energy costs.

🏛政策担当者:Informs policy on building energy efficiency and renewable integration incentives.

📄 Abstract(原文)

This study comparatively examines the effects of different active and passive energy strategies on energy performance, carbon emission reduction, economic feasibility, and thermal comfort potential in a university building in Ankara. This study uses a university building with 8760 h of recorded operational electricity consumption data as a real-world reference case and evaluates different retrofit strategies through dynamic building energy simulations. Simulation results were evaluated not only in terms of total energy consumption but also in terms of operational carbon emissions, levelized cost of energy (LCOE/LCOSE), and the potential for improving indoor temperature stability through passive design strategies. The results show that PV system integration provides the highest energy and carbon reduction performance by reducing the net grid electricity consumption by 89.76%. Among passive systems, the Trombe wall scenario provided the highest energy savings and the lowest LCOSE value. PCM application stood out in terms of indoor temperature stability potential, while the green roof system contributed to temperature control, especially during the summer. In addition, an economic sensitivity analysis based on the discount rate was carried out to reveal the strengths and weaknesses of the proposed strategies in terms of sustainable building design. The study contributes to the comparative analysis of active and passive retrofit strategies in university buildings by offering an integrated and multi-dimensional evaluation approach supported by real operational data.

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