Multi-scale urban system modeling for sustainable planning and design

被引:11
|
作者
Tian Kuay Lim [1 ]
Ignatius, Marcel [2 ]
Martin, Miguel [2 ]
Nyuk Hien Wong [2 ]
Juang, Hann-Ming Henry [3 ]
机构
[1] URA Ctr, Urban Redevelopment Author, 45 Maxwell Rd, Singapore 069118, Singapore
[2] Natl Univ Singapore, Sch Design & Environm, Dept Bldg, 4 Architecture Dr, Singapore 117566, Singapore
[3] DOC NOAA NWS NCEP, Environm Modeling Ctr, Washington, DC USA
关键词
Urban climate modeling; Urban heat island; Spectral modeling; Global climate modeling; Weather prediction; Weather data; Ambient temperature; Cooling load simulation; Microclimate analysis; Climate change; FUTURE WEATHER DATA; HEAT-ISLAND; CLIMATE-CHANGE; ANTHROPOGENIC HEAT; THERMAL BENEFITS; LOAD SIMULATION; SPECTRAL MODEL; ENERGY; IMPACT; CITY;
D O I
10.1016/j.enbuild.2017.02.024
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The urban heat island (UHI) phenomenon has become a concern in many major cities worldwide, as high summer temperatures and poor wind flow can have negative impacts on city dwellers, particularly increasing energy demand for artificial cooling. This paper showcases how an Integrated Multi-scale Environmental Urban Model (IMEUM) can be employed to support planners, architects and engineers to assess the combined impacts of the UHI phenomenon and rising global temperatures due to climate change. IMEUM concept derives from downscaling environmental models from global scale (25 km) to mesoscale (1 km) and city scale (100 m). Hence, this paper showcases a computationally efficient method which couples multi-scale atmospheric models with statistical model to estimate weather parameters. Developed under Singapore context, IMEUM can be utilized to incorporate appropriate UHI mitigation measures upfront in design process, consecutively bridging the gap between global and building scale. This paper also includes calibration of the IMEUM output using observations from ground sensors. Furthermore, by using case study of a hypothetical office building, this paper showcases how the IMEUM output can be fully converted into a localized weather data file for cooling load simulation. IMEUM is currently being developed further into integrated quantitative urban environment simulation tool (QUEST), which can be used to test the immediate microclimatic impact of development plans and assess their long term impacts under future climate change scenarios. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:78 / 91
页数:14
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