深圳華僑城社區(qū)熱環(huán)境評估及優(yōu)化策略研究
發(fā)布時間:2018-05-03 17:18
本文選題:華僑城社區(qū) + 數值模擬; 參考:《哈爾濱工業(yè)大學》2013年碩士論文
【摘要】:隨著城市化進程加快,城市住區(qū)數量日益增加,而住區(qū)的規(guī)劃設計往往對室外熱環(huán)境不夠重視,使得城市住區(qū)熱環(huán)境不斷惡化。同時城市住區(qū)熱環(huán)境與居民生活息息相關,為營造良好的城市住區(qū)熱環(huán)境,需從城市住區(qū)規(guī)劃設計階段就開始著手考慮其熱環(huán)境規(guī)劃方案,對現(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。然而長期以來,一值缺少對城市中住區(qū)熱環(huán)境的研究,缺少可行性的室外熱環(huán)境評估手段,針對上述不足,展開以下研究。 本文以華僑城為研究對象,對熱環(huán)境的數值模擬,以熱島強度、和熱舒適為標準來體現(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,,具體的研究內容如下: 總結目前對于熱環(huán)境研究的相關方法和理論,分析了熱環(huán)境相關因子,并總結了各相關因子與熱環(huán)境的關系。 對華僑城社區(qū)內的七個測點進行現(xiàn)場實測,其中利用小型氣象站測量空氣干球溫度、相對濕度、風速、水平太陽輻射。由實測數據總結出華僑城社區(qū)白天熱環(huán)境特征,并得出7月20日華僑城社區(qū)白天的熱島強度為0.7。各測點的風速空間分布不均勻,測點2(燕棲湖測點)測得的風速數據離散程度小,測點1的風速離散程度最小。溫度離散程度相對較大,測點6(LOFT)1.98,離散程度最大,測點7(東組團住宅區(qū))1.51,離散程度最小,西組團的平均溫度在七個測點中最小。 確定了華僑城社區(qū)的建模方法,通過CAD對高程數據的獲取,應用GIS軟件平臺對研究區(qū)進行精確建模,經過多次試驗實現(xiàn)模型與CFD軟件(PHOENICS)的對接。通過數值模擬得到華僑城社區(qū)的白天四個時刻的溫度分布云圖及平均溫度,同時計算出了整體風速分布云圖,對模擬結果進行評估,獲得SET的分布圖與PMV分布圖,兩個評估標準進行驗證。并通過MATLAB對現(xiàn)場實測和數值模擬的結果進行校驗。 對數值模擬結果進行分析總結出華僑城社區(qū)各個片區(qū)的熱環(huán)境特點和影響因素,通過總結的影響因素對華僑城社區(qū)對熱環(huán)境比較有利的因素進行總結,并對相對較差區(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.
【學位授予單位】:哈爾濱工業(yè)大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:TU119
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