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Dataset of Cooling and Heating Degree Days in North of 18°N Latitude of China (1981-2020)


ZHAO Guosong1ZHOU Xinmeng1LI Yuanzheng2SUN Chaoyang3
1 School of Geography and Information Engineering,China University of Geosciences,Wuhan 430074,China2 School of Resources and Environment,Henan University of Economics and Law,Zhengzhou 450046,China3 National Climate Center,Beijing 100081,China

DOI:10.3974/geodb.2022.03.08.V1

Published:Mar. 2022

Visitors:889       Data Files Downloaded:45      
Data Downloaded:798.95 MB      Citations:

Key Words:

Energy Consumption,Cooling Degree Days,Heating Degree Days,China,1981-2020

Abstract:

Cooling and Heating Degree Days can be used to reflect the influence of climate factors on energy consumption for building heating and cooling, and also characterize the cold level in heating period and the hot level in cooling period. The Cooling Degree Days (CDDs) are the cumulative number of degrees in which the daily mean air temperature is above a certain reference air temperature within a specified time range. The Heating Degree Days (HDDs) refer to the cumulative number of degrees in a certain time range in which the daily average air temperature is lower than a certain reference air temperature. Based on the Industry Standard on Standard for Energy Efficiency Design of Residential Buildings in Hot Summer and Cold Winter Zone (JGJ134-2001) , temperature 26℃ is taken as the cooling reference air temperature, while heating as 18℃. Based on 2 m air temperature data from ERA5-Land reanalysis meteorological dataset (0.1° x 0.1° spatial resolution), the authors calculated the cooling and heating degree days in north of 18°N latitude of China (1981-2020) on Google Earth Engine platform. The dataset includes the following data from 1981 to 2020: (1) CDDs data; (2) HDDs data. The temporal resolution of the dataset is yearly, and spatial resolution is 0.1°. The dataset is archived in .tif format, and consists of 80 data files with data size of 75 MB (compressed to one file with 17.7 MB).

Foundation Item:

National Natural Science Foundation of China (41701501); Ministry of Education of P. R. China (CUG2106311);

Data Citation:

ZHAO Guosong, ZHOU Xinmeng, LI Yuanzheng, SUN Chaoyang. Dataset of Cooling and Heating Degree Days in North of 18°N Latitude of China (1981-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.03.08.V1.

References:

[1] IPCC. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [R]. Cambridge: Cambridge University Press, 2021.
     [2] Lam, J. C., Tang, H. L., Li, D. H. Seasonal variations in residential and commercial sector electricity consumption in Hong Kong [J]. Energy, 2008, 33(3): 513-23.
     [3] Lam, J. C., Wan, K. K., Lam, T. N., et al. An analysis of future building energy use in subtropical Hong Kong [J]. Energy, 2010, 35(3): 1482-90.
     [4] Li, D. H., Yang, L., Lam, J. C. Impact of climate change on energy use in the built environment in different climate zones – A review [J]. Energy, 2012, 42(1): 103-12.
     [5] Spinoni, J., Vogt, J. V., Barbosa, P., et al. Changes of heating and cooling degree-days in Europe from 1981 to 2100 [J]. International Journal of Climatology, 2018, 38: e191-e208.
     [6] D'amico, A., Ciulla, G., Panno, D., et al. Building energy demand assessment through heating degree days: The importance of a climatic dataset [J]. Applied Energy, 2019, 242: 1285-306.
     [7] Wan, R., Kong, D. Q., Liu, J. P. Influence of climate change on energy consumption of air conditioning in typical cities of China [J]. Journal of HV&AC, 2017, 47(3): 43-7.
     [8] Shi, Y., Zhang, D. F., Xu, Y., et al. Changes of heating and cooling degree days over China in response to global warming of 1.5°C, 2°C, 3°C and 4°C [J]. Advances in Climate Change Research, 2018, 9(3): 192-200.
     [9] Thom, H. C. The rational relationship between heating degree days and temperature [J]. Monthly Weather Review, 1954, 82(1): 1-6.
     [10] Thom, H. C. Seasonal degree-day statistics for the United States [J]. Monthly Weather Review, 1952, 80(9): 143-147.
     [11] Shen, X., Liu, B. Changes in the timing, length and heating degree days of the heating season in central heating zone of China [J]. Scientific reports, 2016, 6(1): 1-10.
     [12] Christenson, M., Manz, H., Gyalistras, D. Climate warming impact on degree-days and building energy demand in Switzerland [J]. Energy conversion and management, 2006, 47(6): 671-686.
     [13] Quayle, R. G., Diaz, H. F. Heating degree day data applied to residential heating energy consumption [J]. Journal of Applied Meteorology and Climatology, 1980, 19(3): 241-246.
     [14] Cao, J., Qiu, C., Liu, H. B., et al. Spatiotemporal Distribution of Heating and Cooling Degree Days in Shandong Province [J]. Meteorological Monthly, 2013, 39(1): 94-100.
     [15] Jiang, F. Q., Hu, R. J., Li, Z. Variation and trends of the heating and cooling degree-days of 16 cities in Xinjiang during from 1959 to 2004 [J]. Arid Land Geography, 2007(5): 629-636.
     [16] Ji, L., Li, J. Q., Gou, S., et al. Temporal and spatial characteristics of number of human comfortable days in Chongqing area [J]. Journal of Meteorology and Environment, 2014, 30(1): 88-94
     [17] Wang, Z., Bai, L., Song, B., et al. The effect of climate change on building heating and cooling energy demand in China [J]. E3S Web of Conferences, 2021: 228.
     [18] Yang, X. C., Gu, J. Q., Chen, B. D., et al. Change of cooling degree day in China during 1960-2008 [J]. Resources and Environment in the Yangtze Basin.2011, 20(1): 53-60.
     [19] Cheng, H. F., Wu, J., Zhan, X. F., et al. A Study on the Distribution Characteristic by Heating Degree Day and Cooling Degree Day in Hefei Area [J]. Jouranal of Anhui Jianzhu University, 2016, 24(1): 49-52.
     

Data Product:

ID Data Name Data Size Operation
1 China_CDD_HDD_1981-2020.rar 18180.48KB
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