China's energy consumption in the building sector: A Statistical Yearbook-Energy Balance Sheet based splitting method

年鉴 中国 能源消耗 消费(社会学) 能量平衡 计量经济学 经济 环境经济学 环境科学 统计 经济 地理 工程类 计算机科学 数学 社会学 图书馆学 考古 社会科学 电气工程 生物 生态学
作者
Tengfei Huo,Hong Ren,Xiaoling Zhang,Weiguang Cai,Wei Feng,Nan Zhou,Xia Wang
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:185: 665-679 被引量:292
标识
DOI:10.1016/j.jclepro.2018.02.283
摘要

China's energy consumption in the building sector (BEC) is not counted as a separate type of energy consumption, but divided and mixed in other sectors in China's statistical system. This led to the lack of historical data on China's BEC. Moreover, previous researches' shortages such as unsystematic research on BEC, various estimation methods with complex calculation process, and difficulties in data acquisition resulted in “heterogeneous” of current BEC in China. Aiming to these deficiencies, this study proposes a set of China building energy consumption calculation method (CBECM) by splitting out the building related energy consumption mixed in other sectors in the composition of China Statistical Yearbook-Energy Balance Sheet. Then, China's BEC from 2000 to 2014 are estimated using CBECM and compared with other studies. Results show that, from 2000 to 2014, China's BEC increased 1.7 times, rising from 301 to 814 million tons of standard coal consumed, with the BEC percentage of total energy consumption stayed relatively stable between 17.7% and 20.3%. By comparison, we find that our results are reliable and the CBECM has the following advantages over other methods: data source is authoritative, calculation process is concise, and it is easy to obtain time series data on BEC etc. The CBECM is particularly suitable for the provincial government to calculate the local BEC, even in the circumstance with statistical yearbook available only.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
天选打工人完成签到,获得积分10
1秒前
小袁完成签到 ,获得积分10
3秒前
完美世界应助落寞的雁风采纳,获得10
5秒前
苹果新蕾完成签到,获得积分10
7秒前
tzjz_zrz发布了新的文献求助10
7秒前
zcbb完成签到,获得积分10
10秒前
11秒前
15秒前
16秒前
梦初醒处完成签到,获得积分10
16秒前
顺利毕业的陈完成签到 ,获得积分10
17秒前
18秒前
可爱的函函应助蔓野采纳,获得10
19秒前
19秒前
水个水凝胶完成签到,获得积分10
20秒前
难过手链发布了新的文献求助10
22秒前
上官若男应助zhaofx采纳,获得10
22秒前
lzd发布了新的文献求助10
22秒前
赵坤煊完成签到 ,获得积分10
22秒前
helloworld完成签到,获得积分10
24秒前
try2083完成签到,获得积分10
28秒前
bill完成签到,获得积分0
30秒前
30秒前
30秒前
传奇3应助Khan采纳,获得10
31秒前
31秒前
32秒前
34秒前
华仔应助弧线采纳,获得10
34秒前
蔓野发布了新的文献求助10
34秒前
sci_zt完成签到 ,获得积分10
35秒前
细心怀亦完成签到 ,获得积分10
37秒前
Mae发布了新的文献求助10
37秒前
kitty发布了新的文献求助10
39秒前
黄任行完成签到,获得积分10
43秒前
何禾完成签到,获得积分10
46秒前
难过手链完成签到,获得积分10
48秒前
zz完成签到,获得积分10
48秒前
kitty完成签到,获得积分10
49秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359503
求助须知:如何正确求助?哪些是违规求助? 8173510
关于积分的说明 17214610
捐赠科研通 5414555
什么是DOI,文献DOI怎么找? 2865497
邀请新用户注册赠送积分活动 1842839
关于科研通互助平台的介绍 1691052