Progress in Photovoltaics Research and Applications · 2014 · 41 citations · 18 references
ComputingPhysical GeographyRenewable Energy IntegrationSpatial AnalysisSpatial StatisticsSolar Energy SystemsSolar Photovoltaic SystemsSpatial AutocorrelationSpatial Statistical ModelingSpatial Time SeriesUrban Energy SystemsPower OutputPower Output Variability AnalysisSolar Photovoltaic EnergySolar Radiation VariabilitySpatial Dependence ModelingSpatial Fluctuation AnalysisSpatial Scale DependenceSpatial Scale Effects
Abstract In this paper, we investigate the spatial dependence of variations in power output of small residential solar photovoltaic (PV) systems in a densely populated urban area (≈100km 2 ) in and around Utrecht, the Netherlands. Research into the geo‐statistical behavior of this kind of randomly spaced collection of PV systems is complementary to other studies in the field of compact regularly spaced MW‐scale PV plants. Fluctuations in power output between PV systems are correlated up to a certain decorrelation length. Decorrelation is reached (within 1 − e −3 ≈95 % ) in an exponential model and the spatial scale ranges from 100 m to approx. 15 km, with a mean value 0.34(±0.2), 2.6(±0.3), and 5.0(±0.5) km for measurement time step of the time series of respectively 1, 5, and 15 min. These length scales are typical for an urban environment and is important for reduction of variability in aggregated output variability of PV systems. Furthermore, the distance‐independent variability still itself was found to be strictly linearly dependent on daily mean variability values. This is a good validation of the decorrelation of inter‐system ramp rate correlation over distances longer than the characteristic decorrelation length. Copyright © 2014 John Wiley & Sons, Ltd.
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