Lighting Research Center Develops Framework for Assessing Light Pollution
Developed as a practical system for
assessing outdoor lighting performance, the OSP method
can be used with any commercial lighting software. Using
this software, the designer establishes a calculation
“box” following the natural division between a public and
private space, the property line. The top of every
calculation box is set at 10 meters (33 feet) above the
highest luminous architectural element on the property,
or the highest point on a building that might be
illuminated with flood lighting.
Photo Credit: Rensselaer/LRC
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The emergence of electric lighting at night nearly a century
ago has positively affected countless aspects of human life,
ranging from improved safety and security to stronger economic
development. But too much nighttime illumination can cause
problems for stargazing, animal health, and may even compromise
sleep, often leading some people to say “lights out.”
Balancing public and private interests for nighttime
lighting has been a difficult undertaking, as too little
lighting may increase safety and security issues, while too
much lighting may cause problems for the environment and for
human well being. Scientists in the Lighting Research Center
(LRC) at Rensselaer Polytechnic Institute have developed the
first ever comprehensive method for predicting and measuring
various aspects of light pollution.
The method, called Outdoor Site-Lighting Performance (OSP),
allows users to quantify — and thus optimize — the performance
of existing and planned lighting designs and applications to
minimize excessive or obtrusive light leaving the boundaries of
a property.
“Until now the conversation about light pollution has been
just that — a lot of talk with no data,” said Mark Rea, LRC
director and principal investigator on the project. “The
Lighting Research Center’s Outdoor Site-Lighting Performance
measurement method is a powerful tool, allowing users to
address three important aspects of light pollution — sky glow,
light trespass, and discomfort glare — quantitatively and at
the same time.”
Sky glow is defined as total amount of light leaving a
property. Light trespass describes the amount of light crossing
from one property boundary onto another, and discomfort glare
predicts the level at which light coming from a luminaire is
uncomfortable for viewers.
Although the three factors are independent of each other,
each is measured using OSP, allowing users to control and
maximize the positive benefits of nighttime lighting, while
simultaneously minimizing their negative consequences for the
public, according to Rea.
Developed as a practical system for assessing outdoor
lighting performance, the OSP method can be used with any
commercial lighting software. Using this software, the
designer establishes a calculation “box” following the natural
division between a public and private space, the property
line.
For purposes of standardization, scientists in the LRC set
the top of every calculation box at 10 meters (33 feet) above
the highest luminous architectural element on the property, or
the highest point on a building that might be illuminated with
flood lighting.
With this basic framework in place, OSP can be used to
analyze sky glow, by measuring the overall average illuminance
on the side and top planes of the box; light trespass, by
calculating the maximum illuminance on any of the side planes;
and glare, by computing three illuminance values obtained at
the property line, according to Rea.
In order to provide insights into the values of glow,
trespass, and glare produced by nighttime lighting, Rea and LRC
scientists Jennifer Brons and John Bullough worked with
application engineers to study 125 lighting designs for four
common nighttime lighting applications — car parking lots,
roadways, sports fields, and plazas.
“Project participants used OSP with their preferred lighting
calculation software programs, documenting the area of each
side of the box, average illuminance on each side of the box,
and the maximum illuminance on the vertical sides of the box,”
said Brons. “The measurements were then used to calculate the
three aspects of light pollution. These empirical results are
the first ever published that we know of showing how much light
leaves a sample of outdoor lighting installations, measured in
terms of glow and trespass. Once application engineers had
these data they began to find creative solutions to reduce
light pollution while maintaining the design objectives. This
is important because it shows that lighting decision-makers can
use OSP to do a better job.”
A database of results has been created to help engineers
compare the performance of their own projects to the glow,
trespass, and glare levels measured at nighttime lighting
applications located across North America and Europe.
Bullough says a more extensive, continually growing database
updated by the lighting community would be invaluable for
making systematic progress in reducing light
pollution.
Based on the 125 sites examined, LRC scientists have
developed provisional limits for glow, trespass, and glare,
offered as starting points for subsequent discussion among all
stakeholders in nighttime lighting, according to Rea.
OSP can be used by lighting engineers immediately,
particularly for the investigation of glow and trespass (glare
analyses are more complex to perform and current commercial
software does not readily allow them), and can help users
compare several lighting design alternatives for the same
site.
“This project began in 2005 with leading manufacturers
approaching us for an objective and unbiased assessment of
light pollution, and as a result, we are pleased to share this
new, comprehensive tool that brings much-needed balance to the
discussion,” said Rea.
The research was funded by Acuity Brands Lighting, Lumec,
Philips Lighting, and R-Tech Schreder.
Full details of the OSP method were recently published in
the journal of Lighting Research Technology,
Vol. 40, No. 3, 201-224 (2008).
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Published
September 8,
2008 |
Contact: Amber Cleveland
Phone: (518) 276-2146
E-mail: clevea@rpi.edu |
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