- Simulate the Impact of Urban Morphology on Energy Demand   click here to open paper content667 kb
by    Shang, Chuan & Ko-Yang, Lin & Hou, Guoying | shangchuan989@gmail.com   click here to send an email to the auther(s) of this paper
Short Outline
This study attempts to simulate the impacts of urban morphology to the
energy demand of buildings, using an urban design scheme in Yinchuan, China
as a case. The process of simulation is applied to the one proposed project
with three different scenarios, each of which is verified by four
variables.
Abstract
Reducing energy demand of buildings is one of the primary approaches to
achieve sustainable development. The most extant studies mainly emphasize
how to reduce the energy demand at building scale (e.g. the use of low U-
Value materials and structure of the envelop). However, a few researchers
address energy saving at urban scale, in particular the impact of urban
morphology and distribution of building types on building energy demand. It
is known that strategic planning at early stage would maximize energy
demand savings.

The aim of this study attempts to explore the impacts of urban morphology
to the energy demand of buildings, using simulation tools developed by
Welsh School of Architecture, UK, as known as VirVil Plugin and HTB2. The
process of simulation is applied to the one proposed project with three
different scenarios, meanwhile, the study conducts four variables for each
scenario: 1) the geometry characteristics of building, including forms,
height, and wall-to-volume ratio; 2) orientation of building and community;
3) urban pattern; 4) distribution of building types. The project is chosen
from an urban design scheme of Yuehai Eco-City in Yinchuan, China, by
Architects& Engineers Ltd. of Southeast University, China. The case is
selected for its typical weather style, where the demands of both heating
and cooling are required.

The expected results could indicate quantitative correlation between urban
morphology features and the energy performance of buildings at urban scale.
Furthermore, the results will improve the current design principles and
guidance, and provide a new perspective for how to reduce the energy demand
at a master planning stage. Finally, the study also implies the method
could spread globally.
Keywords
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