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Informing decision making in the
energy sector using NASA spaceborne
observations and model predictions
Richard S. Eckman and Paul W. Stackhouse, Jr., NASA Langley Research Center
A
dapting global sets of spaceborne observations – often made
for diverse research purposes – to enhance end-user decision
making remains a challenge for the Global Earth Observation
Systemof Systems (GEOSS). The US National Aeronautics and Space
Administration (NASA) Applied Sciences Program (the Program)
seeks to identify innovative uses for NASA-derived spaceborne obser-
vations andmodel predictions and connect with end users to enhance
their ability to make management and policy decisions. The Applied
Sciences Program’s Energy Management application extends NASA
Earth science research results to improve decisions and assessments
for energy production and energy efficiency, by interacting with part-
ners to benchmark NASA research datasets derived from the analysis
of historic and current observations andmodels tomeet energy sector
needs. These partners are other government agencies (both domes-
tic and international), academia, professional organizations and the
private sector. These activities support the goals of the GEOSS energy
societal benefit area.
The Energy Management Program focuses its activities on several
energy sector themes by integrating NASA-sponsored spaceborne
measurements and mathematical models to produce value-added
datasets which can be directly used by energy decision makers. These
themes include renewable energy, energy efficiency (sustainable build-
ings), bioenergy, climate change impacts on the energy sector, supply
and load forecasting, and space weather impacts on the energy sector.
Key to the success of the uptake of Earth observations is the creation
of datasets in readily accessible formats, in units consistent with the
end-user’s needs, and delivered via the web. NASA researchers inte-
grate observations from multiple data sources and models to produce
value-added products for the energy sector. In the following sections,
we describe some recent Program activities.
Renewable energy
In the renewable energy sector, NASA has developed partnerships with
Natural Resources Canada (NRCan) and the US National Renewable
Energy Laboratory (NREL) to enhance their project analysis tools using
NASA-derived datasets of surface solar energy and meteorological para-
meters derived from assimilation models. This product, the Surface
Meteorological and Solar Energy dataset (SSE), contains over 200 satel-
lite-derived meteorology and solar energy parameters monthly averaged
from ten years of data on a 1° x 1° global grid. These data are derived
from a variety of NASA measurements and NASA-sponsored
programmes including the Earth Radiation Budget Experiment (ERBE),
International Satellite Cloud Climatology Project (ISCCP),
Surface Radiation Budget (SRB), Global Modeling and
Assimilation Office (GMAO), Goddard Earth Observing
System (GEOS) meteorological analysis model, and
Langley Research Center FLASHFlux project providing
near-real time surface radiative flux.
RETScreen
(www.retscreen.net)is a clean energy
decision support system, developed by NRCan’s
CANMET Energy Technology Centre, which enables
end users to better assess the feasibility of renewable
energy and energy efficiency projects, their costs, and
greenhouse gas mitigation benefits. Surface solar
energy measurements available from ground observa-
tions are often sparse or unavailable in the developing
world. NASA’s satellite-derived global observations and
historical datasets of meteorological parameters can be
integrated by the RETScreen decision-making tool to
enhance its utility where ground-based inputs are
unavailable. RETScreen has over 120,000 registered
users in the developed and developing world. We have
also partnered with NREL’s HOMER micropower opti-
mization tool for distributed power by making
available similar NASA-derived products. Both
RETScreen and NREL access the NASA data through
via the Internet; thereby providing convenient access
to the most recent parameter estimates available.
Studies by both partners, presented at the 2006
American Solar Energy Society annual meeting,
confirm the utility of the NASA SSE dataset in enhanc-
ing the ability of their decision support systems for the
adaptation and mitigation of energy production and
efficiency to changing environmental conditions.
The Energy Management Program has also participated
in the United Nations Environment Programme Solar and
Wind Energy Resource Assessment (SWERA) project. The
goal of SWERA is to enable the delivery of accurate solar
and wind energy resource assessment information glob-
ally. The project initially focused on 13 pilot countries in
the developing world. Working together with our deci-
sion support tool partners, the Program has been active
in supporting SWERA’s activities. NASA’s Energy
Management Program has recently initiated a project to
further the SWERA goals by enhancing the availability and
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