为研究极端天气对被动式太阳能建筑采暖效率的影响,选取关键气象参数(直射辐射、干球温度)来构造极端冷气象条件,主要分析太阳低辐射和极端低温对拉萨、乌鲁木齐、兰州、哈尔滨4个城市的被动式太阳能建筑采暖效率的影响。结果表明:随着太阳直射辐射和温度的降低,哈尔滨整个采暖季的采暖潜力下降最大,拉萨、兰州、乌鲁木齐在太阳直射辐射下降超过50%时,采暖潜力下降最大,哈尔滨在辐射下降43%时采暖潜力下降最大。在温度下降不超过10 ℃的情况下,拉萨和哈尔滨的采暖潜力下降最大,兰州和乌鲁木齐则是在温度分别下降11和15 ℃时,采暖潜力下降最大。气象参数对采暖潜力的敏感性分析表明,太阳直射辐射对太阳能采暖潜力的影响大于温度。同时,对不同设计因素进行全局敏感性分析,建筑保温材料的物理参数对采暖潜力的影响高于其他设计参数。
Abstract
To study the impact of extreme weather on the heating efficiency of passive solar buildings, key meteorological parameters (direct radiation and dry bulb temperature) were selected to construct extreme cold weather. The main focus was on analyzing the impact of low solar radiation and extreme low temperature on the heating efficiency of passive solar buildings in four cities: Lhasa, Urumqi, Lanzhou, and Harbin. The results show that with the decrease of direct solar radiation and temperature, the heating potential of Harbin decreases the most in the whole heating season. When direct solar radiation decreases by more than 50%, Lhasa, Lanzhou, and Urumqi experience the greatest decrease in heating potential, while Harbin experiences the most significant decrease when radiation decreases by 43%. Regarding temperature, Lhasa and Harbin exhibit the highest decrease in heating potential when the temperature decreases by no more than 10 ℃. On the other hand, Lanzhou and Urumqi experience the most significant decrease in heating potential when the temperature decreases by 11 ℃ and 15 ℃, respectively. The sensitivity analysis of meteorological parameters on heating potential show that direct solar radiation has a greater effect on solar heating potential compared to temperature. Furthermore, the global sensitivity analysis of different design factors reveal that the physical parameters of building insulation materials have a higher impact on heating potential than other design parameters.
关键词
极端天气 /
太阳能采暖 /
被动式太阳能建筑 /
温度 /
太阳辐射 /
敏感性分析
Key words
extreme weather /
solar heating /
passive solar building /
temperature /
solar radiation /
sensirity anglysis
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 路宾, 郑瑞澄, 李忠, 等. 太阳能建筑应用技术研究现状及展望[J]. 建筑科学, 2013, 29(10): 20-25.
LU B, ZHENG R C, LI Z, et al.Research status and prospect of solar energy application technology in buildings[J]. Building science, 2013, 29(10): 20-25.
[2] STEVANOVIĆ S.Optimization of passive solar design strategies: a review[J]. Renewable and sustainable energy reviews, 2013, 25: 177-196.
[3] DONG J K, CHEN Z H, ZHANG L, et al.Experimental investigation on the heating performance of a novel designed Trombe wall[J]. Energy, 2019, 168: 728-736.
[4] ALEXANDER L V, ZHANG X, PETERSON T C, et al.Global observed changes in daily climate extremes of temperature and precipitation[J]. Journal of geophysical research: atmospheres, 2006, 111(D5): 4-16.
[5] 闵锦忠, 粘新悦, 孙玉婷, 等. 中国东北冬季极端低温的年代际变化及其成因[J]. 气象科学, 2022, 42(6): 711-720.
MIN J Z, NIAN X Y, SUN Y T, et al.Characteristics and causes of the interdecadal variability of winter low temperature extremes in Northeast China[J]. Journal of the meteorological sciences, 2022, 42(6): 711-720.
[6] 陈颖, 杨智敏, 张旭. 增暖背景下新疆冷冬与极端低温事件的系[J]. 沙漠与绿洲气象, 2022, 16(5): 1-7.
CHEN Y, YANG Z M, ZHANG X.The connection between cold winter and extreme low temperature events in Xinjiang under the background of warming[J]. Desert and oasis meteorology, 2022, 16(5): 1-7.
[7] JIANG H, LU N, YAO L, et al.Impact of climate changes on the stability of solar energy: evidence from observations and reanalysis[J]. Renewable energy, 2023, 208: 726-736.
[8] GUAN F L, ZHENG Y F, CAI Z Y, et al.Study of distinctive regional features of surface solar radiation in North and East China[J]. Acta meteorologica sinica, 2011, 25(4): 494-505.
[9] BHARGAWA A, SINGH A K.Solar irradiance, climatic indicators and climate change: an empirical analysis[J]. Advances in space research, 2019, 64(1): 271-277.
[10] SHEN J C, COPERTARO B, ZHANG X X, et al.Exploring the potential of climate-adaptive container building design under future climates scenarios in three different climate zones[J]. Sustainability, 2019, 12(1): 108.
[11] HU X M, FAN H J, CAI M, et al.A less cloudy picture of the inter-model spread in future global warming projections[J]. Nature communications, 2020, 11: 4472.
[12] PERERA A T D, NIK V M, CHEN D L, et al. Quantifying the impacts of climate change and extreme climate events on energy systems[J]. Nature energy, 2020, 5(2): 150-159.
[13] HWANG R L, CHEN W A.Identifying relative importance of solar design determinants on office building façade for cooling loads and thermal comfort in hot-humid climates[J]. Building and environment, 2022, 226: 109684.
[14] ZHANG L L, DONG Z J, LIU F, et al.Passive solar sunspace in a Tibetan Buddhist house in Gannan cold areas: sensitivity analysis[J]. Journal of building engineering, 2023, 67: 105960.
[15] MENG F C, LI M C, CAO J F, et al.The effects of climate change on heating energy consumption of office buildings in different climate zones in China[J]. Theoretical and applied climatology, 2018, 133(1/2): 521-530.
[16] 曹晓岑. 气候变化对我国不同建筑气候区建筑节能气象参数及能耗的影响[D]. 兰州: 兰州大学, 2016.
CAO X C.The impact of climate change on meteorological parameters and energy consumption of building energy conservation in different architectural climate regions in China[D]. Lanzhou: Lanzhou University, 2016.
[17] 刘大龙, 刘加平, 侯立强, 等. 气象要素对建筑能耗的效用差异性[J]. 太阳能学报, 2017, 38(7): 1794-1800.
LIU D L, LIU J P, HOU L Q, et al.Differentiation analysis of meteorological parameters affecting building energy consumption[J]. Acta energiae solaris sinica, 2017, 38(7): 1794-1800.
[18] 李元哲. 被动式太阳能房热工设计手册[M]. 北京:清华大学出版社,1993.
LI Y Z.Passive solar house thermal design manual[M]. Beijing: Tsinghua University Press, 1993.
[19] 杨竞立. 基于建筑形体要素的西部太阳能采暖潜力研究[D]. 西安: 西安建筑科技大学, 2019.
YANG J L.Research on the western solar heating potential based on building shape elements[D]. Xi’an: Xi’an University of Architecture and Technology, 2019.
[20] LAM J C, HUI S C M. Sensitivity analysis of energy performance of office buildings[J]. Building and environment, 1996, 31(1): 27-39.
[21] QIU Z Y, WANG J Y, YU B, et al.Identification of passive solar design determinants in office building envelopes in hot and humid climates using data mining techniques[J]. Building and environment, 2021, 196: 107566.