 Building Science at UC Berkeley: Research

The Impact of
Ventilation Control Methods on Worker Productivity
High
and variable occupant density along with automated work performance
metrics make call centers an ideal building type for studying the impact
of ventilation on worker productivity
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The PROJECT |
We are studying the impact
that new and traditional ventilation control methods have on worker
productivity, energy use, and indoor air quality. |
|
SIGNIFICANCE |
More than 90% of the total
operating cost of commercial office buildings is the salary cost of
workers. Our working hypothesis is that better ventilation control
will improve indoor air quality, reduce sick building syndrome (SBS)
symptoms, and consequently improve worker productivity. If proved
true, this project would significantly increase the value of
improved ventilation system design and operation. It would also
increase the significance of past indoor air quality research
results that lack a productivity outcome. Recent results support our
working hypothesis. |
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DELIVERABLE |
We have written an interim
report describing an analysis of worker performance acquired from a
call center (Federspiel, 1999). We have found significant
correlations between work performance and factors that affect indoor
air quality. A second report containing a more detailed analysis
will be completed by the October 1999 CBE meeting. Results from the
field intervention will be available by the April 2000 CBE meeting. |
|
DESCRIPTION |
In most buildings, ventilation is not controlled. Instead, the
dampers are adjusted so that at the minimum position the ventilation
rate is sufficiently high to meet code requirements. This approach
causes overventilation under many operating conditions. Since
ventilation loads are a significant fraction of the total heating
and cooling load, demand-controlled ventilation strategies have been
proposed and implemented. Demand-controlled strategies adjust the
ventilation rate so that when there is less demand for ventilation
(i.e., fewer occupants), less fresh air is supplied to the building
in order to save energy. The most common of these strategies
provides ventilation air in proportion to the indoor CO2
concentration. The CO2 concentration is a lagging
indicator of the number of occupants, so this strategy causes a lag
between the time that a space is occupied and the time that the
ventilation is activated. This lag is suspected of causing poor
indoor air quality and consequently impairing worker productivity.
An alternative demand-controlled strategy called On-Demand
Ventilation Control (Federspiel, 1996) eliminates this lag.
This study will involve a
comparison of three ventilation strategies: constant ventilation,
proportional demand-controlled ventilation, and ODVC. The study will
be conducted in collaboration with William Fisk and David Faulkner
of the Indoor Environment Department at Lawrence Berkeley National
Laboratory. |
|
TECHNICAL APPROACH |
This study will involve two
parts. The first is an observational analysis of work performance
metrics and control system variables such as ventilation rate and
temperature. Statistical correlations between control system
variables and work performance metrics will be investigated.
The second part is a
double-blind, controlled field intervention. The control strategy
type will be the independent variable. We will compare constant
ventilation, proportional demand-controlled ventilation, and ODVC.
Indoor air quality metrics will be derived from laboratory analysis
of air samples and statistical analysis of symptom intensity
surveys. Performance metrics will be derived from the automated call
distribution (ACD) system in the call center. Measurable disturbance
variables such as sound pressure level and temperature will be
recorded with portable dataloggers and via the existing building
control system. We will determine whether or not there is a
statistically significant difference between the three strategies on
the basis of work performance, health symptoms, contaminant
concentrations, and energy usage. We will also perform a
cross-correlation analysis between the outcome metrics. |
|
RELATED WORK |
Other research activities
related to this project include the Workplace Productivity Database
project, which is funded by the National Institute of Standards and
Technology (NIST), and the CBE project on Productivity and Indoor
Environmental Quality in the New Office. |
|
REFERENCES |
Federspiel, C. C., W. J. Fisk,
D. Faulkner, and D. Wyon, 1999, Statistical Analysis of Work
Performance in a Call Center, CBE Interim Report.
Federspiel, C. C., 1996,
"On-Demand Ventilation Control: A New Approach to
Demand-Controlled Ventilation," Proceedings of INDOOR AIR
'96, Nagoya, Japan, 3, 935-940. |

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