首页> 外文期刊>Energy and Buildings >Stochastic analysis of natural gas consumption in residential and commercial buildings
【24h】

Stochastic analysis of natural gas consumption in residential and commercial buildings

机译:住宅和商业建筑天然气消耗的随机分析

获取原文
获取原文并翻译 | 示例
       

摘要

Consumer consumption characteristic is an important asset for safe design and management of gas dis tribution networks. Different characteristics of natural gas consumption in residential and commercial buildings are studied from statistical and stochastic points of view. The technique is applied during 2008 and 2009 to a densely populated district inTehran, Iran, with relatively large number of buildings (67,655 residential and 13,286 commercial buildings). There are different trends in the histograms of gas con sumption, but there is a general trend in diagrams of probability index (the probability of gas consumption exceeding a specific value) and their regressions. The most frequent amount of gas consumption for all 45-day periods is 100 m3 as compared with the annual average of 320 m3 for residential buildings. The latter reduces to 80 m3 for the averaged periodic consumption per unit in a building. Also it seems that the most frequent amount of periodic gas consumption of residential buildings is about 31% of their respective annual average during the warm months of the year, and 150% during the cold months. Peri odic consumptions less than 1500 m3 and average consumptions less than 1400 m3 are more probable in residential buildings, which are larger than that of commercial ones, but this trend reverses at higher consumption values. If actual consumption is normalized by the average consumption, the number of units in the building or the floor area, the probability index of commercial buildings is generally higher than residential ones. The binomial distribution is analytically used to predict the probability of average gas consumption exceeding 320 and 2000 m3 in two example cases of 500 and 1000 buildings.
机译:消费特性是安全设计和管理天然气分配网络的重要资产。从统计和随机角度研究了住宅和商业建筑中天然气消耗的不同特征。该技术在2008年和2009年期间应用于伊朗德黑兰人口稠密的地区,该地区的建筑物数量相对较多(住宅67,655座,商业建筑13,286座)。气体消耗的直方图中有不同的趋势,但是概率指数(气体消耗超过特定值的概率)及其回归图的趋势是普遍的。在所有45天的时间段内,天然气的最频繁使用量为100立方米,而住宅建筑的年平均水平为320立方米。对于建筑物中每单位的平均周期性消耗,后者减少到80 m3。同样,在一年的温暖月份中,住宅建筑的定期燃气消耗最频繁的量约为其各自年平均量的31%,在寒冷月份中约为150%。住宅建筑物中的周期性消耗小于1500 m3,平均消耗小于1400 m3,比商业建筑物大,但这种趋势在较高的消耗值时会逆转。如果用平均消费量,建筑物中的单位数或建筑面积对实际消耗量进行归一化,则商业建筑物的概率指数通常高于住宅建筑物。通过二项式分布分析可预测在500座和1000座建筑物的两个示例情况下平均耗气量超过320和2000 m3的可能性。

著录项

  • 来源
    《Energy and Buildings》 |2011年第9期|p.2289-2297|共9页
  • 作者单位

    Mechanical Engineering Department,Amirkabir University of Technology,424 Hafez Avenue,Tehran J5875-4413,Iran;

    Mechanical Engineering Department,Amirkabir University of Technology,424 Hafez Avenue,Tehran J5875-4413,Iran;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    gas consumption; probability; histogram; binomial distribution;

    机译:耗气量可能性;直方图二项分布;
  • 入库时间 2022-08-18 00:10:15

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号