EVALUATION OF PROCEDURES TO IMPROVE SOLAR RESOURCE ASSESSMENTS: OPTIMUM USE OF SHORT-TERM DATA FROM A LOCAL WEATHER STATION TO COR- RECT BIAS IN LONG-TERM SATELLITE DERIVED SOLAR RADIATION TIME SERGES

摘要

In this paper, two methods are reviewed and tested for significantly reducing solar power production estimation errors, and thus improving bankability, by combining long-term, satellite derived irradiance time series with available short-term observations. The first method consists of correcting the modeled clear-sky irradiance data using local aerosol optical characteristics data. This method has been previously shown to be effective at removing the bias in time series of Direct Normal Irradiance (DNI) at hazy locations experiencing large aerosol optical depth (AOD). The second method consists of correcting bias out of independent satellite modeled data using on-site ground observations through a Model Output Statistics (MOS) correction. The essential question to answer is: How does one extend the record of short-term observations using satellite data? The significant findings obtained here can help resolve this question. The positive effects of these methods on bankability are also discussed.