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Impact of UHI and global warming on multi-energy complementarity optimization of buildings: application to typical office buildings in Hangzhou, China
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Qingqing MIAO1,2,3, Xiaoyu LUO1,2,3, Jiang LU4, Weijun GAO5, Yucong XUE6, Yifan FAN1,2,3, Jian GE1,3,, Jiahong ZHAO1,2,3. Impact of UHI and global warming on multi-energy complementarity optimization of buildings: application to typical office buildings in Hangzhou, China[J]. Journal of Zhejiang University Science A, 1998, -1(-1): .
@article{title="Impact of UHI and global warming on multi-energy complementarity optimization of buildings: application to typical office buildings in Hangzhou, China",
author="Qingqing MIAO1,2,3, Xiaoyu LUO1,2,3, Jiang LU4, Weijun GAO5, Yucong XUE6, Yifan FAN1,2,3, Jian GE1,3,, Jiahong ZHAO1,2,3",
journal="Journal of Zhejiang University Science A",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2500365"
}
%0 Journal Article
%T Impact of UHI and global warming on multi-energy complementarity optimization of buildings: application to typical office buildings in Hangzhou, China
%A Qingqing MIAO1
%A 2
%A 3
%A Xiaoyu LUO1
%A 2
%A 3
%A Jiang LU4
%A Weijun GAO5
%A Yucong XUE6
%A Yifan FAN1
%A 2
%A 3
%A Jian GE1
%A 3
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%A Jiahong ZHAO1
%A 2
%A 3
%J Journal of Zhejiang University SCIENCE A
%V -1
%N -1
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%@ 1673-565X
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2500365
TY - JOUR
T1 - Impact of UHI and global warming on multi-energy complementarity optimization of buildings: application to typical office buildings in Hangzhou, China
A1 - Qingqing MIAO1
A1 - 2
A1 - 3
A1 - Xiaoyu LUO1
A1 - 2
A1 - 3
A1 - Jiang LU4
A1 - Weijun GAO5
A1 - Yucong XUE6
A1 - Yifan FAN1
A1 - 2
A1 - 3
A1 - Jian GE1
A1 - 3
A1 -
A1 - Jiahong ZHAO1
A1 - 2
A1 - 3
J0 - Journal of Zhejiang University Science A
VL - -1
IS - -1
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%@ 1673-565X
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PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2500365
Abstract: 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 were selected through a performance evaluation, and statistical downscaling was employed to generate future typical meteorological year (TMY) data. Next, the Urban Weather Generator (UWG) was used to simulate urban heat island effects. Empirical formulas were applied to calculate urban wind speeds, while DesignBuilder was used to model solar radiation and hourly energy consumption. These data were then utilized 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 5.05%-16.65% 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.
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