DOE Solar Energy Technologies Program

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2. Technical Approach Two tasks are under way in the Solar Resource Characterization Project: (1) a domestic task focused on updating the NSRDB and (2) an international task that allows the NSRDB to be benchmarked against international solar resource assessment methods. With the solar resource model performance evaluations completed, we are now in a position to produce an updated NSRDB. By examining tools, availability of input data, processing constraints, and uncertainties of the output product, we developed an NSRDB update plan and continued work to: • Make recommendations on which model to use. • Develop recommendations for NSRDB update methods. • Solicit input from NSRDB stakeholders. • Develop an NSRDB update plan. • Produce a draft 10-year NSRDB update. The IEA/SHC Solar Resource Knowledge Management task provides a collaborative mechanism to allow researchers from a number of international research institutions to compare and benchmark various approaches for assessing solar resources, allowing for the new NSRDB to be benchmarked against these other methods. A technical Annex and Work Plan were finalized and approved at the Solar Heating and Cooling Executive Committee meeting in June 2005, and NREL was selected as the Operating Agent. Preparations are under way for the first task meeting, to be held at DLR near Munich, Germany, November 16–18, 2005. A second task meeting is contemplated for July 2006 in conjunction with Solar 2006 in Denver, Colorado. A first-year technical report will be issued in September 2006. Two task meetings per year are contemplated over the 5-year duration of the project, and a number of deliverables, spelled out in the Work Plan, will be produced as a result of the task work. Total project funding for FY 2005 was $450K, broken down in the following table: 3. Results and Accomplishments 3.1 National Solar Radiation Data Base The changeover to automated stations by the National Weather Service eliminated the human observed total and opaque sky cover amounts used for inputs to the METSTAT model, which was used for the 1961–1990 NSRDB. To adapt the model to currently available data sets, we derived equivalent sky cover inputs (total and opaque cloud cover) from a combination of Automated Surface Observing System (ASOS) and ASOS supplemental cloud measurements (the latter derived from Geostationary Operational Environmental Satellite [GOES] satellite data). ASOS detects clouds to 12,000 ft (3660 m), whereas the ASOS supplemental cloud measurements provide sky cover estimates for heights above 12,000 ft for a 50 km x 50 km area centered on the ASOS station. A significant part of our effort was to find, acquire, and quality-assess surface solar measurements to form a data set for model evaluation. For the model evaluation work, 33 sites with nearby meteorological stations were identified and data acquired from various solar measurement networks, including the Surface Radiation Budget Network (SURFRAD), Integrated Surface Irradiance Study (ISIS), University of Oregon, University of Texas, and the NREL Historically Black Colleges and Universities (HBCU) network. All available data were downloaded to NREL computers and imported to an interim database for evaluation with quality-assessment tools. One goal of the updated NSRDB is a spatial resolution greater than the ancillary interpolated products that were originally produced from the 239 NSRDB meteorological stations. Toward that end, the project evaluated a model from the Atmospheric Sciences Research Center (ASRC) at SUNY Albany. This SUNYA model derives 10- km pixel solar estimates based on differences between a pixel’s clear-sky reflectance as seen by the satellite and the brighter values that occur with increasing cloud reflectance of incoming solar radiation. The analysis of the test data sets included those hours from all sites for which measured and output data for all models were concurrent and compared the measured data to the output for each model using the statistical measures of root square mean error (RMSE), mean bias error (MBE), frequency Task Title IEA Task 36 Solar Resource Knowledge Management NSRDB Update Photovoltaic R&D Fundamental Research FY 2005 Budget ($K) 100 350 34

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