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Passive
Solar Building Design in Shenzhen
Comparing
shading techniques throughout the year
Sephir Hamilton
12 April 2000
Overview of Design Suggestions
These shading design suggestions
assume that a primary design goal is minimizing solar heat load
to reduce energy use. Designers should balance these suggestions
with other design issues, such as daylighting and aesthetics, to
produce a good passive solar building.
Eastern and Western Windows
·
Minimize window exposure by orienting the building
to face south and by using small windows.
·
Either use deep overhangs (depth approximately equal
to the window height), or exterior sun screens (SC = 0.3) on all
windows.
Southern Windows
·
Use shallow overhangs (depth approximately equal to
30% of the window height), and shallow fins on both sides (depth
approximately equal to 30% of the window width).
·
Use interior blinds (e.g. venetian blinds) to give
occupants control over low wintertime sun.
Northern Windows
·
Use shallow fins on the western side
of windows (depth approximately equal to 30% of the window width)
to block late day sun in the summertime.
Introduction
This paper justifies the
shading design suggestions stated above for an apartment building
in Shenzhen, China.
Solar energy travels through
the windows of a building, increasing the energy used by air-conditioners
and degrading occupant comfort. An ideal passive solar building
minimizes internal energy use (e.g. electricity and heating fuel)
by optimizing its design to suit the annual path of the sun and
the local climate.
In temperate climates (such
as Beijing and Boston), buildings use energy to heat during winter
and to cool during summer. A good passive solar design in a temperate
climate captures the energy of the sun during winter but keeps the
sun off during the summer.
Buildings in the warm climate
of Shenzhen, however, should keep the sun off for most of the year.
Designing a building that minimizes solar heat gain throughout the
year is crucial to an energy-efficient design.
Optimizing building shape,
orientation, and shading design will produce an energy-efficient
solar building. This paper suggests an optimum shape and orientation
based on annual solar data (see figures 5-7). It also compares several
shading schemes using solar energy calculations for each window
direction (north, south, east, and west). A discussion of the shading
schemes indicates advantages and disadvantages of each scheme, and
leads to the shading design suggestions stated above.
The Sun in Shenzhen
Building designers should
understand the path of the sun at the site. Obviously the sun rises
in the east and sets in the west; days in the summer have more daylight
hours than do days in the winter; the sun is higher at noon than
early or late in the day.
However, a good passive design
dictates that designers know more details such as sun path, elevations
during different days, and azimuth angles throughout each day of
the year. For Shenzhen (22.18 N latitude), Figures 1 shows elevations
at noon on three dates, and Figure 2 shows azimuth angles (sun-path
from a birds-eye view) throughout the day on those dates.

Figure 1
Sun elevation at solar noon on June 21, September 21, and
December 21

Figure 2
Azimuth sun angles on June 21, September 21, and December
21
People living in northern
cities immediately note that the sun looks very different in Shenzhen
than in cities such as Boston or Beijing. At 42N latitude (Boston),
the maximum noon-time sun elevation is 72 degrees in summer; the
minimum noon-time elevation is 25 degrees in winter; the sun is
north of a building (absolute azimuth angle greater than 90 degrees)
only during early morning and late afternoon in June and July. In
Shenzhen the maximum sun-elevation is 89 degrees in summer, the
minimum noon-time elevation is 45 degrees in winter, and the sun
is north of a building throughout the entire day from June 4 to
July 10 (and during much of the day the rest of summer).
Sun paths and angles are important in understanding
the sun, but designers must also know how much solar energy will
hit a building. Figure 3 shows that each surface (north, south,
east, and west) sees different sun levels during the day. The plot
shows the solar power per area of window (kW/m2) incident
on each surface on August 21. The western window curve (not shown)
is a mirror image about solar noon of the eastern window curve (shown).
Note also that near June 21st there will be no southern exposure
and more northern exposure, but near December 21st the opposite
is true.

Figure 3 Solar energy
during a single day incident on windows in Shenzhen
Orienting a Building for
the Sun
The following general Shenzhen
information is useful when designers orient a building to optimize
solar heat gain:
- During winter months, southern windows receive more solar energy
than do other windows at any time.
- During
summer months, southern windows receive very little solar energy
while northern windows receive some (though relatively little)
solar energy.
- Eastern
and western windows receive consistent solar energy throughout
the year.
Shenzhens climate is
hot and humid during most of the year. Minimizing solar heat gain
through windows, especially during the warmest months, will reduce
air-conditioning loads and improve the energy-efficiency of a building.
Eastern and western windows
see significantly more solar gain during the summer months. Southern
windows, however, see very large solar gains during winter months.
Opening windows during winter (when air is cooler than comfort levels)
balances the excess wintertime solar gains and solves the problem.
Reason then dictates this optimum orientation and shape for a Shenzhen
building:
A building
should have minimum window (and surface) exposure on its eastern
and western faces. Therefore, a slender building with its long sides
facing north and south is desirable.

Figure 4 Orientation
and shape of a building to minimize solar exposure
Using
Shading to Keep the Sun Off
Once a
building is oriented properly, designers should add adequate shading
to improve its energy-efficiency.
Two fundamental
shading strategies exist for reducing solar energy that passes directly
into a building. The first method places obstructions between the
sun and the window (e.g. trees, external shades, or adjacent buildings).
The second method uses the window itself to reflect excess sun (e.g.
reflective coatings or interior blinds).
>This
discussion focuses on these four practical techniques to shade windows:
exterior shading screens (similar to insect screens), interior shades
(such as venetian blinds), window overhangs (above the window),
and window fins (on the sides of the window). Another practical
shading technique (not considered) uses vegetation, adjacent structures,
or other natural obstructions.

Figure 5
Practical shading techniques discussed in this paper

Figure 6
This MIT building uses inset windows to create deep overhangs
and fins
The effectiveness of a windows
shading properties is measured by the windows shading coefficient
(S.C.). The amount of sun energy (Q in Joules) a window lets in
is given by:
Q
= 0.87*S.C.*E
,where E is the solar energy
hitting the window (in Joules).
The shading
coefficient compares how much sun a piece of tinted glass lets through
compared to a standard clear piece of glass. A clear piece of glass
has a shading coefficient of 1.0, while an opaque
wall has a shading coefficient of zero. Shading coefficient values
are found experimentally. Overhangs and fins can not be quantified
using shading coefficients because the amount of shading they provide
changes dramatically throughout the day and year.
To find
the best method for shading windows in Shenzhen, this paper compares
eight shading cases (using combinations of the above techniques).
The table below describes each case while graphs show the performance
of each case throughout a year for each window
direction (north, south, east, and west). The total solar
energy gain per area of window (MWh/m2) for the year
(and for the nine-month period excluding winter) further shows how
each design performs (shown as bar charts).
|
Case #
|
S.C.
|
Overhang
|
Fin
|
description
|
|
0 (base)
|
0.95
|
0.0
|
0.0
|
1/8 clear single glazed
|
|
1
|
0.58
|
0.0
|
0.0
|
1/8 clear single glazed w/ venetian blinds
|
|
2
|
0.28
|
0.0
|
0.0
|
1/8 clear single glazed w/ exterior shade or-
¼ reflective double glazed
|
|
3
|
0.95
|
30%
|
0.0
|
Base case w/ overhang (depth of overhang is 30% of window
height)
|
|
4
|
0.95
|
30%
|
30%
|
Base case w/ overhang (30% of window height) and fin (30%
of window width)
|
|
5
|
0.95
|
100%
|
0.0
|
Base case w/ overhang (100% of window height)
|
|
6
|
0.95
|
100%
|
100%
|
Base case w/ overhang (100% of window height) and fin (100%
of window width)
|
|
7
|
0.95
|
0.0
|
30%
|
Base case w/ no overhang and fins (30% of window width)
|
|
8
|
0.95
|
0.0
|
100%
|
Base case w/ no overhang and fins (100% of window width)
|
Figure 7
Description of the eight shading cases
The
graphs below present the results of each case as the solar energy
per area of window area (kJ/m2) over one day (the 21st
day of each month) for a northern window, a southern window, and
an eastern-western window.
Northern
windows see minimal solar gains, and only during the warmer months
(April through August). Southern windows see large gains during
winter months but relatively little during the summer. Eastern-western
windows see relatively even gains throughout the year.

Figure 8 Daily energy
gain for a Northern window

Figure 9 Daily energy
gain for a Southern window

Figure 10 Daily energy
gain for an East or West window
The total solar energy blocked
by each shading case is of most interest. The charts below show
the total direct solar energy per area of window (MWh/m2)
for each case summed over the year and over the nine-month period
between March and November.
Note that the total energy
for the building will be found by adding the north window energy,
south window energy, and twice the east window energy (to account
for the east and west windows together).

Figure 11 Annual energy
gain per unit area of window

Figure 12 Nine-month
energy gain per unit area of window
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