CityU Institutional Repository >
3_CityU Electronic Theses and Dissertations >
ETD - Dept. of Building and Construction >
BC - Doctor of Philosophy >
Please use this identifier to cite or link to this item:
|Title: ||Energy performance of office buildings in different climate zones in China|
|Other Titles: ||Ban gong da lou zai Zhongguo bu tong qi hou fen qu neng yuan yun yong zhi xiao yi|
|Authors: ||Tsang, Ching Luen (曾正聯)|
|Department: ||Department of Building and Construction|
|Degree: ||Doctor of Philosophy|
|Issue Date: ||2010|
|Publisher: ||City University of Hong Kong|
|Subjects: ||Office buildings -- Energy conservation -- Climatic factors -- China.|
|Notes: ||CityU Call Number: TJ163.5.O35 T75 2010|
xvi, 303 leaves : ill. 30 cm.
Thesis (Ph.D.)--City University of Hong Kong, 2010.
Includes bibliographical references (leaves 237-263)
|Abstract: ||Buildings, energy and the environment are key issues that the building professions and
energy policy makers have to address, especially in the area of sustainable development. The
primary aim of this study is to develop the systematic methods for assessing and evaluating the
influences of the diverse climate conditions on the thermal and energy performance of office
buildings in major cities with different climates in China.
Measured long-term hourly and daily weather data for the five major cities in China,
namely Harbin, Beijing, Shanghai, Kunming and Hong Kong were gathered and analysed. These
cities were selected to represent the five main architectural climates-severe cold, cold, hot
summer and cold winter, mild, and hot summer and warm winter. The characteristics and
features of the five major climatic types in China were examined by analyzing the long-term
weather data through statistical techniques and graphical methods. Three common climatic
variables, namely temperature (dry-bulb and wet-bulb), solar radiation (global, direct and diffuse)
and wind conditions (wind speed and wind direction), were investigated. The frequency of
occurrence and cumulative frequency distributions were determined and presented.
Comprehensive typical meteorological years (TMYs) for the five cities were developed using
long-term measured weather data, such as dry bulb and dew point temperatures, wind speed and
global solar radiation. Generic buildings typical of the prevailing architectural designs and
construction practices and meeting the requirements of the local building energy codes for the
five cities were constructed.
Hourly energy simulations for the five generic office buildings were conducted using the
energy simulation program DOE2.1E to assess the thermal and energy performance of office
buildings. The computed simulation results were analysed and compared in three main aspects -
heating loads, cooling loads and the corresponding building energy consumption. To ascertain
whether the TMY predicted thermal and energy performances followed long-term mean
predictions based on multi-year weather data, energy simulated results from TMY were used to
compare with those from individual years and their long-term means. Predicted monthly load
and energy consumption profiles from TMY tended to follow the long-term mean quite closely.
Parametric and sensitivity analysis was carried out to examine the importance of building
input parameters. Thirteen key design parameters (in terms of their influences on building
energy consumption) were identified. Changes in lighting load density affect not only energy use
for electric lighting, but also energy requirements for space heating and cooling. Interactions
between lighting load and heating and cooling energy use among the five cities were
investigated. The heating influence coefficient varied from 0.08 in Hong Kong to 0.45 in Harbin,
and the cooling influence coefficient from 2.09 in Harbin to 2.4 in Hong Kong. The north zone
tended to have the largest influence coefficient for heating and vice versa. To characterize the
interactions between different energy end-uses among the five cities, heating and cooling
coincidence factors were also determined. The analysis results can help building designers and
engineers identify key design variables and focus on building schemes that matter most.|
|Online Catalog Link: ||http://lib.cityu.edu.hk/record=b3947682|
|Appears in Collections:||BC - Doctor of Philosophy |
Items in CityU IR are protected by copyright, with all rights reserved, unless otherwise indicated.