scholarly journals Impact Analysis of Urban Morphology on Residential District Heat Energy Demand and Microclimate Based on Field Measurement Data

2021 ◽  
Vol 13 (4) ◽  
pp. 2070
Author(s):  
Yanxue Li ◽  
Dawei Wang ◽  
Shanshan Li ◽  
Weijun Gao

In this work, we focus on investigating the relationship between urban morphology parameters and residential building space heating energy performance, comparing microclimate conditions of existing residential blocks with central heating supply. Firstly, a dataset composed of district morphological parameters that measured heat energy consumption was established. Then, effects of morphological indicators including cover ratio, average building height, and floor area ratio on building space heating energy efficiency were assessed specifically. Analysis results show that a larger floor area ratio induced a reduction in heating energy consumption density, the observed effect is notable at an initial increase of floor area ratio. Thirdly, the case study shows that the heating load of residential districts with a high built density is more sensitive to solar radiation. To further assess how and to what extent urban forms alter microclimates, on-site measurement investigated detailed changes in the thermal environment of selected residential districts before and after the operational stage of central heating supply. Analysis results demonstrate that heat energy delivered by a central heating supply could dampen the variations of local outdoor air temperatures, more notable for residential districts with a higher floor area ratio during the night period. Findings from this work would be useful for urban planners considering energy-efficient design practices.


2017 ◽  
Vol 105 ◽  
pp. 3449-3455 ◽  
Author(s):  
Ayotunde Dawodu ◽  
Ali Cheshmehzangi


Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8505
Author(s):  
Jihoon Jang ◽  
Jinmog Han ◽  
Min-Hwi Kim ◽  
Deuk-won Kim ◽  
Seung-Bok Leigh

To effectively analyze building energy, it is important to utilize the environmental data that influence building energy consumption. This study analyzed outdoor and indoor data collected from buildings to find out the conditions of rooms that had a significant effect on heating and cooling energy consumption. To examine the conditions of the rooms in each building, the energy consumption importance priority was derived using the Gini importance of the random forest algorithm on external and internal environmental data. The conditions that had a significant effect on energy consumption were analyzed to be: (i) conditions related to the building design—wall, floor, and window area ratio, the window-to-wall ratio (WWR), the window-to-floor area ratio (WFR), and the azimuth, and (ii) the internal conditions of the building—the illuminance, occupancy density, plug load, and frequency of room utilization. The room conditions derived through analysis were considered in each sample, and the final influential building energy consumption factors were derived by using them in a decision tree as being the WFR, window area ratio, floor area ratio, wall area ratio, and frequency of use. Furthermore, four room types were classified by combining the room conditions obtained from the key factor classifications derived in this study.





2013 ◽  
Vol 336-338 ◽  
pp. 1412-1415
Author(s):  
Cheng Wu Wang ◽  
Zhi Hao Mao ◽  
Jia Qi Lei

GIS technology has been applied in city planning management and virtual city. It still hasnt got more substantive achievements on aided design of regulatory plan. The notion of Modeling-Incubator has been advanced and integrated with GIS, which is the key resolution and method to 3D simulation of regulatory plan indexes, such as building coverage, floor area ratio, building interval etc. This resolution will be applied in regulatory plan assessment.



2012 ◽  
Vol 450-451 ◽  
pp. 614-617
Author(s):  
Yi Zhou Wu ◽  
Bo Li

Floor area ratio (FAR) is fundamentally important for urban economic development and for urban design, planning and management. This paper tried to enhance the texture information of the QuickBird image by using HIS and PCA transform methods in Yiwu city as a case study. An object-based method was proposed to process the enhanced QuickBird image for the shadow of buildings and building object areas, and the building heights were accurately calculated based on the shadow of buildings. The building object areas and heights were integrated with an administrative district map in Yiwu city to estimate FAR. Tests with this above method demonstrated excellent accuracy in terms of FAR estimation. The high spatial resolution images have great potential in quickly and accurately estimating FAR, providing a scientific basis to policy makers and urban planners.



2018 ◽  
Vol 4 (1) ◽  
pp. 119-128
Author(s):  
Seung Hee Kim ◽  
Chul Sung Lee ◽  
Young Ki Kim


1999 ◽  
Vol 34 (0) ◽  
pp. 949-954
Author(s):  
Akinori Morimoto ◽  
Hirotaka Koike


1997 ◽  
Vol 32 (0) ◽  
pp. 499-504
Author(s):  
Myeonghun Lee ◽  
Kenjiro Omura ◽  
Koichi Ishizaka ◽  
Eiichi Itoigawa


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