本文選題：空調(diào)室外計算溫度　切入點：廣義帕累托分布　出處：《天津大學(xué)學(xué)報(自然科學(xué)與工程技術(shù)版)》2017年07期 　論文類型：期刊論文

【摘要】：為以概率方式確定空調(diào)室外計算溫度,提出用廣義帕累托分布(GPD)描述室外空氣濕球和干球極端高溫數(shù)據(jù)概率分布的方法.以天津市30年氣象數(shù)據(jù)為基礎(chǔ),建立了極端高溫數(shù)據(jù)的GPD模型,以此確定了歷年平均不保證50,h的空調(diào)室外計算溫度.從數(shù)據(jù)采集頻率、氣候變化和地域氣候類型適用性3個角度驗證了GPD方法的適用性.結(jié)果表明:GPD密度曲線與經(jīng)驗分布曲線吻合度較高,對天津市而言,GPD法確定的空調(diào)室外計算溫度與"規(guī)范法"差值不大于0.1,℃;GPD法對氣象數(shù)據(jù)采集頻率不敏感,分別以逐時和定時數(shù)據(jù)為統(tǒng)計基礎(chǔ)確定的室外計算溫度相差最大的是干球溫度,差值為0.1,℃;此外,GPD法可以準確反映氣候變暖帶來的室外計算溫度變化,并且對不同地區(qū)不同特征的氣候也具有良好的適應(yīng)性.綜上,GPD法可以用于空調(diào)室外計算溫度的統(tǒng)計確定.
[Abstract]:In order to determine the outdoor calculated temperature of air conditioning by probability method, a method of describing the extreme high temperature data of outdoor air wet bulb and dry ball by generalized Pareto distribution (GPDD) is proposed. Based on the 30 years meteorological data of Tianjin, The GPD model of extreme high temperature data is established to determine the outdoor calculation temperature of air conditioning, which is not guaranteed for 50 h on average, and the frequency of data acquisition is obtained from the data collection frequency. The applicability of the GPD method is verified from three aspects of climate change and applicability of regional climate types. The results show that the density curve of GPD is in good agreement with the empirical distribution curve. For Tianjin City, the difference between the outdoor calculation temperature determined by the GPD method and the "Standard method" is not greater than 0.1, and the temperature GPD method is not sensitive to the frequency of meteorological data collection. The difference between the calculated outdoor temperatures based on hourly and timing data is 0.1 鈩，

本文編號：1651962