摘要
气候变暖可缩短全球采暖期,延长制冷期。制冷与采暖度日数可反映气候因素对建筑制冷与采暖能耗的影响,是温度和能源定量关系的测度指标,被认为是最简单可靠的衡量能源需求的指标,已被广泛应用在气候变化、建筑能源需求与热舒适度评定等领域。制冷与采暖度日数用日平均温度与设定的基准温度相比较的方式来表征,制冷度日数(cooling degree days,CDDs)是一定时间范围内日平均气温高于某一基准温度的累计度数,采暖度日数(heating degree days,HDDs)为一定时间范围内日平均气温低于某一基准温度的累计度数。根据行业标准《夏热冬冷地区居住建筑节能设计标准JGJ 134―2001》,本项研究设定制冷的基准温度为26℃,采暖的基准温度为18℃。在此基础上,采用ERA5-Land再分析气象数据集的2 m气温(0.1°×0.1°空间分辨率),在Google Earth Engine平台上使用制冷及采暖度日数计算方法制作1981–2020年逐年尺度的18°N以北中国制冷及采暖度日数数据集。本数据集为我国首套近40年时空连续的制冷及采暖度日数数据集,数据集包括1981–2020年的以下数据:(1)制冷度日数数据;(2)采暖度日数数据。数据集的时间分辨率为年,空间分辨率为0.1°,数据集存储为.tif格式,由80个数据文件组成,数据量为75 MB(压缩为1个文件17.7 MB)。
Climate warming can change the global heating and cooling periods. Cooling and heating degree days can be used to show the influence of climate factors on the energy consumption for building cooling and heating. These are the measurement indices of the quantitative relationship between temperature and energy, and can also be considered as the simplest and most reliable index for measuring energy demand. These two indices have been widely used in the fields of climate change, building energy demand, and thermal comfort. The cooling and heating degree days were characterized by the daily mean temperature and compared with a set reference temperature. Cooling degree days(CDDs) are the cumulative number of degrees by which the average daily temperature in a certain time range is higher than the reference temperature, whereas heating degree days(HDDs) are the cumulative number of degrees by which the average daily temperature in a certain time range is lower than the reference temperature. According to the industry standard “JGJ 134―2001 Standard for Energy Saving Design of Residential Buildings in Hot Summer and Cold Winter Areas”, the base temperature for cooling and heating is set as 26 ℃ and 18 ℃ respectively in this study. Using the calculation method of cooling and heating degree days, a yearly scale dataset of CDDs and HDDs in China north of 18°N from 1981 to 2020 was produced on the Google Earth Engine(GEE) platform based on the 2 m air temperature data from the ERA5-Land reanalysis meteorological dataset(0.1°×0.1° spatial resolution). This is the first continuous dataset of CDDs and HDDs in nearly 40 years in China. The dataset includes the following data from 1981 to 2020:(1) CDDs data;(2) HDDs data. The temporal resolution of the dataset was yearly and the spatial resolution was 0.1°. The dataset was archived in.tif format and consisted of 80 data files with a data size of 75 MB(compressed to one file with 17.7 MB).
作者
赵国松
周欣萌
李元征
孙朝阳
Zhao,G.S.;Zhou,X.M.;Li,Y.Z.;Sun,C.Y.(School of Geography and Information Engineering,China University of Geosciences,Wuhan 430074,China;School of Resources and Environment,Henan University of Economics and Law,Zhengzhou 450046,China;National Climate Center,Beijing 100081,China)
出处
《全球变化数据学报（中英文）》
CSCD
2022年第3期459-466,V0459-V0466,共16页
Journal of Global Change Data & Discovery
基金
国家自然科学基金(41701501)
中央高校基本科研业务费专项(CUG2106311)。
关键词
能源消耗
气候变化
热环境
制冷度日数
采暖度日数
数据集
中国
energy consumption
climate change
thermal environment
cooling degree days
heating degree days
dataset
China
作者简介
通讯作者:赵国松,N-3141-2019,中国地质大学(武汉)地理与信息工程学院,zhaogs86@126.com。
