Creation of municipality level intensity data of electricity in Japan
Creation of municipality level intensity data of electricity in Japan
复制标题
创建日本市町村级电力强度数据
DOI：
10.1016/j.apenergy.2015.01.143
复制
发表时间：
2016
期刊：
影响因子：
11.2
通讯作者：
Kumiko Nakamichi
中科院分区：
文献类型：
--
作者：
Hajime Seya;Yoshiki Yamagata;Kumiko Nakamichi
住宅CO2排放量的评估通常通过强度方法进行，其中总能源消耗量通过将建筑面积乘以强度值来估计。虽然准确估计需要空间详细的强度数据，但由于样本量小，更精细的空间分辨率将导致估计值不太稳定;因此，日本现有的研究在区域或县一级创建强度数据。本研究的目的是利用日本总务省全国家庭收入和支出调查的家庭微观数据，以电力为重点，通过统计方法创建市一级的强度数据。首先，本研究建立了几个（空间）统计模型，其中每个家庭的电力支出回归的住房类型（两类），家庭类型（七类），和其他家庭的具体变量。其次，通过将官方统计数据中的平均市一级解释变量代入模型，估计市一级强度数据。所获得的结果表明，传统的强度数据在日本，在每个单位（县）的样本的简单平均值，可能会遭受向上的偏见，这表明高估的危险住宅CO2排放量。
An assessment of residential CO2emissions is typically performed through the intensity method, in which total energy consumption is estimated by multiplying floor space by intensity value. Although spatially detailed intensity data is required for an accurate estimation, the finer spatial resolution will result in a less stable estimated value due to the small sample size; hence, existing studies in Japan created intensity data at a regional or prefectural level. The objective of this study is to create municipality level intensity data via a statistical approach, using the household level micro data from the National Survey of Family Income and Expenditure, of the Ministry of Internal Affairs and Communications, Japan, by focusing on electricity. First, this study builds several (spatial) statistical models, where per household electricity expenditure is regressed on housing types (two categories), household types (seven categories), and other household specific variables. Second, by substituting averaged municipality level explanatory variables from official statistics into the model, it estimates municipality level intensity data. The obtained results suggest that conventional intensity data in Japan, created by the simple average of samples in each unit (prefecture), may suffer from an upward bias, suggesting a danger of overestimation of residential CO2emissions.