深圳華僑城社區(qū)熱環(huán)境評(píng)估及優(yōu)化策略研究
發(fā)布時(shí)間:2018-05-03 17:18
本文選題:華僑城社區(qū) + 數(shù)值模擬; 參考:《哈爾濱工業(yè)大學(xué)》2013年碩士論文
【摘要】:隨著城市化進(jìn)程加快,城市住區(qū)數(shù)量日益增加,而住區(qū)的規(guī)劃設(shè)計(jì)往往對(duì)室外熱環(huán)境不夠重視,使得城市住區(qū)熱環(huán)境不斷惡化。同時(shí)城市住區(qū)熱環(huán)境與居民生活息息相關(guān),為營(yíng)造良好的城市住區(qū)熱環(huán)境,需從城市住區(qū)規(guī)劃設(shè)計(jì)階段就開(kāi)始著手考慮其熱環(huán)境規(guī)劃方案,對(duì)現(xiàn)有住區(qū)熱環(huán)境的研究,能系統(tǒng)而深入的了解熱環(huán)境的規(guī)劃方法。然而長(zhǎng)期以來(lái),一值缺少對(duì)城市中住區(qū)熱環(huán)境的研究,缺少可行性的室外熱環(huán)境評(píng)估手段,針對(duì)上述不足,展開(kāi)以下研究。 本文以華僑城為研究對(duì)象,對(duì)熱環(huán)境的數(shù)值模擬,以熱島強(qiáng)度、和熱舒適為標(biāo)準(zhǔn)來(lái)體現(xiàn)熱環(huán)境狀況。力求為熱環(huán)境優(yōu)化策略提供有益的參考,,具體的研究?jī)?nèi)容如下: 總結(jié)目前對(duì)于熱環(huán)境研究的相關(guān)方法和理論,分析了熱環(huán)境相關(guān)因子,并總結(jié)了各相關(guān)因子與熱環(huán)境的關(guān)系。 對(duì)華僑城社區(qū)內(nèi)的七個(gè)測(cè)點(diǎn)進(jìn)行現(xiàn)場(chǎng)實(shí)測(cè),其中利用小型氣象站測(cè)量空氣干球溫度、相對(duì)濕度、風(fēng)速、水平太陽(yáng)輻射。由實(shí)測(cè)數(shù)據(jù)總結(jié)出華僑城社區(qū)白天熱環(huán)境特征,并得出7月20日華僑城社區(qū)白天的熱島強(qiáng)度為0.7。各測(cè)點(diǎn)的風(fēng)速空間分布不均勻,測(cè)點(diǎn)2(燕棲湖測(cè)點(diǎn))測(cè)得的風(fēng)速數(shù)據(jù)離散程度小,測(cè)點(diǎn)1的風(fēng)速離散程度最小。溫度離散程度相對(duì)較大,測(cè)點(diǎn)6(LOFT)1.98,離散程度最大,測(cè)點(diǎn)7(東組團(tuán)住宅區(qū))1.51,離散程度最小,西組團(tuán)的平均溫度在七個(gè)測(cè)點(diǎn)中最小。 確定了華僑城社區(qū)的建模方法,通過(guò)CAD對(duì)高程數(shù)據(jù)的獲取,應(yīng)用GIS軟件平臺(tái)對(duì)研究區(qū)進(jìn)行精確建模,經(jīng)過(guò)多次試驗(yàn)實(shí)現(xiàn)模型與CFD軟件(PHOENICS)的對(duì)接。通過(guò)數(shù)值模擬得到華僑城社區(qū)的白天四個(gè)時(shí)刻的溫度分布云圖及平均溫度,同時(shí)計(jì)算出了整體風(fēng)速分布云圖,對(duì)模擬結(jié)果進(jìn)行評(píng)估,獲得SET的分布圖與PMV分布圖,兩個(gè)評(píng)估標(biāo)準(zhǔn)進(jìn)行驗(yàn)證。并通過(guò)MATLAB對(duì)現(xiàn)場(chǎng)實(shí)測(cè)和數(shù)值模擬的結(jié)果進(jìn)行校驗(yàn)。 對(duì)數(shù)值模擬結(jié)果進(jìn)行分析總結(jié)出華僑城社區(qū)各個(gè)片區(qū)的熱環(huán)境特點(diǎn)和影響因素,通過(guò)總結(jié)的影響因素對(duì)華僑城社區(qū)對(duì)熱環(huán)境比較有利的因素進(jìn)行總結(jié),并對(duì)相對(duì)較差區(qū)域提出具有可行性的優(yōu)化建議。
[Abstract]:With the acceleration of urbanization, the number of urban settlements is increasing day by day. However, the planning and design of residential areas often pay less attention to the outdoor thermal environment, which makes the thermal environment of urban settlements deteriorate. At the same time, the thermal environment of urban residential area is closely related to the life of residents. In order to create a good thermal environment of urban residential area, it is necessary to begin to consider its thermal environment planning scheme from the stage of urban residential district planning and design, and to study the thermal environment of existing residential area. Systematic and in-depth understanding of the thermal environment planning methods. However, for a long time, the study of thermal environment in urban residential areas and the feasibility of outdoor thermal environment assessment are lacking. In view of the above deficiencies, the following research is carried out. In this paper, the numerical simulation of thermal environment is carried out in overseas Chinese cities, and the thermal environment is represented by the standards of heat island strength and thermal comfort. To provide a useful reference for the thermal environment optimization strategy, the specific research contents are as follows: This paper summarizes the relevant methods and theories of the research on thermal environment, analyzes the factors related to the thermal environment, and summarizes the relationship between the relevant factors and the thermal environment. The field measurements were carried out at seven measuring points in the community of overseas Chinese City, in which the air dry ball temperature, relative humidity, wind speed and horizontal solar radiation were measured by using a small meteorological station. The characteristics of daytime heat environment in overseas Chinese city community were summarized from the measured data, and the intensity of heat island in Hua overseas Chinese city community was 0.7 on July 20. The spatial distribution of wind speed at each measuring point is not uniform, the dispersion of wind speed data measured at point 2 (Yanqi Lake) is small, and the wind speed dispersion at point 1 is the least. The temperature dispersion degree is relatively large, measuring point 6 loft 1.98, the discrete degree is the biggest, the measuring point 7 (east group residential area is 1.51, the dispersion degree is the least, the average temperature of the western group is the smallest among the seven measuring points. The modeling method of overseas Chinese city community is determined. The height data is obtained by CAD, and the research area is modeled precisely by using GIS software platform. After many experiments, the model is connected with CFD software (PHOENICS). Through numerical simulation, the temperature distribution cloud map and average temperature at four times during the day in Huaoxia City community are obtained. At the same time, the overall wind speed distribution cloud map is calculated, and the simulation results are evaluated to obtain the distribution map of SET and the distribution map of PMV. Two evaluation criteria were validated. The results of field measurement and numerical simulation are verified by MATLAB. Through the analysis of the numerical simulation results, the characteristics of the thermal environment and the influencing factors of each area in the community of overseas Chinese City are summarized, and the factors favorable to the thermal environment of the community of overseas Chinese City are summarized through the factors summarized. At the same time, some feasible optimization suggestions are put forward for the relatively poor areas.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類(lèi)號(hào)】:TU119
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