Impact of urban heat island and global warming on multi-energy complementarity optimization of buildings: application to typical office buildings in Hangzhou, China
都市ヒートアイランドと地球温暖化が建物のマルチエネルギー補完最適化に与える影響：中国杭州の標準的なオフィスビルへの適用 (AI 翻訳)
Qingqing Miao, Xiaoyu Luo, Jiang Lu, Weijun Gao, Yucong Xue, Yifan Fan, Jian Ge, Jiahong Zhao
🤖 gxceed AI 要約
日本語
本研究は、将来の気候変動と都市微気候を建物エネルギー消費予測とシステム最適化に統合するフレームワークを提案。杭州のオフィスビルで検証し、冷房需要28.9-103.0%増加、暖房需要19.7-52.6%減少を予測。最適化により正味現在価値が5.1-16.7%向上し、将来気候に対応したシステム設計の重要性を示した。
English
This study proposes a framework integrating future climate change and urban microclimate into building energy prediction and system optimization for office buildings in Hangzhou, China. Results show cooling demand increases by 28.9%–103.0% and heating demand decreases by 19.7%–52.6%. Optimization under future climate scenarios yields 5.1%–16.7% higher net present value. The work emphasizes the need for climate-resilient building energy planning.
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
日本の建築エネルギー分野でもヒートアイランド対策や地球温暖化適応が重要。本手法は日本の都市部のビルエネルギー計画に応用可能で、空調需要変化に備えたシステム設計の経済性評価に示唆を与える。
In the global GX context
This study provides a quantitative framework for integrating urban microclimate and global warming into building energy optimization, relevant for global cities facing similar challenges. It highlights the economic benefits of climate-adaptive design, important under TCFD and ISSB for physical risk assessment.
👥 読者別の含意
🔬研究者:Provides a modeling approach combining CMIP6 climate projections, urban heat island simulation, and building energy optimization applied to a Chinese city.
🏢実務担当者:Offers a method for building developers to assess future energy demand and optimize system capacity for reliability and cost under climate change.
🏛政策担当者:Demonstrates the need for building codes that account for future climate scenarios and urban heat island effects to ensure energy resilience.
📄 Abstract（原文）
Amid global warming and urbanization, building energy systems face the dual challenge of balancing growth in energy demand with environmental sustainability and resistance to future climate change. This study proposes a predictive framework that integrates the effects of future climate change and urban microclimate into energy consumption prediction and energy system optimization for typical office buildings in Hangzhou, China. First, optimal general circulation models (GCMs) from CMIP6 are selected through a performance evaluation, and statistical downscaling is employed to generate future typical meteorological year (TMY) data. Next, the urban weather generator (UWG) is used to simulate urban heat island (UHI) effects. Empirical formulas are applied to calculate urban wind speeds, while DesignBuilder is used to model solar radiation and hourly energy consumption. These data are then used to optimize the building energy system. The results reveal that future climate change significantly increases cooling demand (28.9%–103.0%) and reduces heating demand (19.7%–52.6%), with urban microclimates further amplifying these trends. The energy system optimization demonstrates that the net present value (NPV) of future climate and urban microclimate scenarios is 5.1%–16.7% higher than that of historical climate scenarios. Additionally, future climate scenarios result in higher peak energy demand and thus necessitate larger system capacities to ensure reliability. While the initial required investment is higher, buildings optimized to account for global warming are more reliable and carry lower operational costs. We comprehensively quantify the effect of future urban microclimate on building energy systems, emphasizing its critical role in energy system planning and providing insights for addressing the challenges of climate change and urbanization.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1631/jzus.a2500365first seen 2026-06-07 05:04:59 · last seen 2026-06-16 04:53:36
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