H.O.B.O. Temperature Graphs
- -A H.O.B.O is roughly twice the size of a matchbox, and its purpose is to take temperature readings at specified intervals. We placed thirteen H.O.B.O units around the bank for a 24 hour period. Our intentions were several fold. We wanted to measure temperatures on all floors of the structure as well as monitor the temperature in the upper naturally ventilated area, and compare it to the rest of the structure. We also wanted to investigate how the building's night flush feature worked and if there was a large temperature fluctuation during its cycle. Lastly, we wanted to examine the effectiveness of the exterior sun shading devices, and by using a H.O.B.O in we monitored the temperatures in the window areas and compared them to the ambient room temperature. -
Chart results :
The southern side of the building is showing a
large temp increase during its occupancy and daylight hours, (8
am to 6 pm). The northern side shows slight temp increase
probably due to occupancy, and the central core remains stable. -
What this shows :
The facades with the largest amounts of glazing and the longest amount of direct sun exposure have the largest temp differences.
Chart results :
The floors with direct sun exposure show high
temperature increases, with the first floor being the highest and
the third floor being the lowest. The floors with indirect
sun exposure still show temp. increases but not as severe. 
What this shows :
There is a direct relationship of temp increases between the direct and indirect sun penetration of each floor. The lower floors sun shading devices are not as efficient as the upper floors devices in the early spring months. This may or may not be good, it depends if the building is interior or skin dominated.
Chart results :
As indicated by the temp readings of the first
floor south facade HOBOs, there is an excess of direct sun
penetration between the hours of noon and four pm. The
second and third floors remain fairly stable during direct sun
hours. All floors show a temp increase between six am
and six pm, this is consistent with outside temp fluctuation as
well as occupancy levels, including people and equipment. 
What this shows :
The south side shading device is not as effective for the first floor, but works well for the second and third floors. It is important to remember that our measurements were taken in early spring, when the sun is low in the sky, so its very possible that the devices may work very well in the hottest summer months.
Chart Results : All three floors remain fairly
consistent with the outside temp fluctuations. The first
floor shows significantly higher temps, while the second and
third floors follow each other. 
What this shows :
All floors begin to heat up once people start to arrive, the first floor begin the lowest, because of heat loss during the night through all the glazing, and the smallest amount of people work there. Once the southern facade becomes exposed to the late morning sun, the solar gain through the glazing begins to heat up the space and soon, it becomes the warmest place in the building. Judging from the temperature pattern, it may be a little hot in that area, possibly during this time of the year, late spring, there could be less solar gain here.
Chart Results :
The southern side gains the most heat from the
sun, while the northern side remains pretty flat. Both
north and south sides show a correlation to outside ambient
temps, 
What this shows :
Solar gain on the south side mid morning to late afternoon is substantial, and could possibly cause a cooling problem in the spring and fall.
Chart results :
The south side of the building shows the
highest temperatures, with the north side second, and the central
core of the building lowest. The south side of the
buildings temperatures correspond most closely with the outside
temperatures. This is interesting because the most equipment and
people are located in the north side on the first floor, but
evenly distributed on the second floor, and the third floor is
only used during specific times of the day, i.e. lunch.. 
What this shows : The buildings facades orientation combined with glazing equals heat gain. The southern facade has large amounts of glazing, thus during the daylight hours, it shows the largest amount of temperature fluctuation. Both heat is gained and lost due to the low e-value of glass, and the potential for solar gain.
Chart results :
The southern side of the building shows the
highest temp increase in relation to outside temps. The north and
central stairwell areas remain somewhat more stable, and the
central areas of the structure tend to start at a stable temp and
rise dramatically once the space becomes occupied and drops again
when people start to leave. 
What this shows :
The buildings facades with the most glazing tend to gain and lose the most heat and are the most effected by the outdoor ambient temperatures. The sharp increase in the third floor temps are due to occupants and lighting, the third floor consists of a lunch room and conference areas. This illustrates how lighting and occupancy can raise temperatures.
Chart Results :
Each floors temps remain stable through the
cycle with the third floor showing highest temps and the first
showing lowest. 
What this shows :
heat rises, and the first floor has a lot of glass, so during the night the heat is evacuated from the lower floors first and is replaced with cooler air.
Chart results :
The first and second floors temps remain
somewhat stable, while the third floor temps start off highest at
the beginning of the night flush cycle and ends up being the
lowest at its end. 
What this shows :
The third floor is indirectly separated from the buildings mechanical system, so once the occupants have left for the day, no heating or cooling is done to the space, hence the temperature drops consistently over the course of the night. The first and second floors temp also drops but not as dramatically.
Chart Results :
The temps show a consistent increase during
occupancy and daylight hours. The direct and indirect lines show
almost identical patterns, spiking during the lunch hour. 
What this shows :
As occupant levels rise, so do the temps. The area is shaded from the sun all the time, which shows that shading devices work well all the time. The area also cools down after everyone has gone which is also good. This area is somewhat difficult to analyze, because it is naturally ventilated and we were unable to determine when windows were open.
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