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Short summary
Increasing numbers of photovoltaic (PV) power systems call for the characterization of irradiance variability with very high spatiotemporal resolution. We use 1 Hz irradiance data recorded by as many as 99 pyranometers and show mixed sky conditions to differ substantially from clear and overcast skies. For example, the probabilities of strong fluctuations and their respective spatial autocorrelation structures are appreciably distinct under mixed conditions.
Increasing numbers of photovoltaic (PV) power systems call for the characterization of...
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Articles | Volume 16, issue 10
Atmos. Chem. Phys., 16, 6365–6379, 2016
https://doi.org/10.5194/acp-16-6365-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: HD(CP)2 Observational Prototype Experiment (AMT/ACP...
Atmos. Chem. Phys., 16, 6365–6379, 2016
https://doi.org/10.5194/acp-16-6365-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 25 May 2016
Research article | 25 May 2016
Local short-term variability in solar irradiance
Gerald M. Lohmann et al.
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Cited
27 citations as recorded by crossref.
- Cloud motion estimation from small-scale irradiance sensor networks: General analysis and proposal of a new method M. Espinosa-Gavira et al. 10.1016/j.solener.2020.03.081
- Multiresolution analysis of the spatiotemporal variability in global radiation observed by a dense network of 99 pyranometers B. Madhavan et al. 10.5194/acp-17-3317-2017
- Relating solar resource and its variability to weather and climate across the northwestern United States L. Hinkelman & N. Schaeffer 10.1016/j.solener.2017.07.060
- Are the optimum angles of photovoltaic systems so important? X. Chen et al. 10.1016/j.rser.2020.109791
- Combined ANFIS–Wavelet Technique to Improve the Estimation Accuracy of the Power Output of Neighboring PV Systems during Cloud Events H. Al-Hilfi et al. 10.3390/en13071613
- An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network D. Pattanaik et al. 10.1515/eng-2020-0073
- Analysis of high frequency photovoltaic solar energy fluctuations F. Kreuwel et al. 10.1016/j.solener.2020.05.093
- Impact of probabilistic small-scale photovoltaic generation forecast on energy management systems W. El-Baz et al. 10.1016/j.solener.2018.02.069
- Analytic model for correlations of cloud induced fluctuations of clear-sky index B. Elsinga & W. van Sark 10.1016/j.solener.2017.07.035
- Robust Optimization for Electricity Generation H. Yang et al. 10.1287/ijoc.2020.0956
- Effects of temporal averaging on short-term irradiance variability under mixed sky conditions G. Lohmann & A. Monahan 10.5194/amt-11-3131-2018
- Spatiotemporal interpolation and forecast of irradiance data using Kriging M. Jamaly & J. Kleissl 10.1016/j.solener.2017.09.057
- Short-term peer-to-peer solar forecasting in a network of photovoltaic systems B. Elsinga & W. van Sark 10.1016/j.apenergy.2017.09.115
- Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice C. Barrientos Velasco et al. 10.5194/amt-13-1757-2020
- A spatiotemporal Markov-chain mixture distribution model of the clear-sky index J. Munkhammar & J. Widén 10.1016/j.solener.2018.12.064
- From Point to Area: Worldwide Assessment of the Representativeness of Monthly Surface Solar Radiation Records M. Schwarz et al. 10.1029/2018JD029169
- Power fluctuations in solar-storage clusters: spatial correlation and battery response times J. Barry et al. 10.1016/j.egypro.2017.09.516
- The HD(CP)<sup>2</sup> Observational Prototype Experiment (HOPE) – an overview A. Macke et al. 10.5194/acp-17-4887-2017
- Comparison between MRM simulations, CAMS and PVGIS databases with measured solar radiation components at the Methoni station, Greece B. Psiloglou et al. 10.1016/j.renene.2019.07.064
- Suppressing power output fluctuations of photovoltaic power plants M. Anvari et al. 10.1016/j.solener.2017.08.038
- Meteorological Radiation Model (MRM v6.1): Improvements in diffuse radiation estimates and a new approach for implementation of cloud products H. Kambezidis et al. 10.1016/j.rser.2017.02.058
- Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017) A. Habte et al. 10.1016/j.rser.2020.110285
- Real-time reaction control for solar production of chemicals under fluctuating irradiance F. Zhao et al. 10.1039/C8GC00613J
- An On-Line Low-Cost Irradiance Monitoring Network with Sub-Second Sampling Adapted to Small-Scale PV Systems M. Espinosa-Gavira et al. 10.3390/s18103405
- The seasonal variability and trends for the surface solar irradiation in northeastern region of Brazil F. Lima et al. 10.1016/j.seta.2019.08.006
- Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review G. Lohmann 10.3390/atmos9070264
- Simulating clear-sky index increment correlations under mixed sky conditions using a fractal cloud model G. Lohmann et al. 10.1016/j.solener.2017.04.048
27 citations as recorded by crossref.
- Cloud motion estimation from small-scale irradiance sensor networks: General analysis and proposal of a new method M. Espinosa-Gavira et al. 10.1016/j.solener.2020.03.081
- Multiresolution analysis of the spatiotemporal variability in global radiation observed by a dense network of 99 pyranometers B. Madhavan et al. 10.5194/acp-17-3317-2017
- Relating solar resource and its variability to weather and climate across the northwestern United States L. Hinkelman & N. Schaeffer 10.1016/j.solener.2017.07.060
- Are the optimum angles of photovoltaic systems so important? X. Chen et al. 10.1016/j.rser.2020.109791
- Combined ANFIS–Wavelet Technique to Improve the Estimation Accuracy of the Power Output of Neighboring PV Systems during Cloud Events H. Al-Hilfi et al. 10.3390/en13071613
- An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network D. Pattanaik et al. 10.1515/eng-2020-0073
- Analysis of high frequency photovoltaic solar energy fluctuations F. Kreuwel et al. 10.1016/j.solener.2020.05.093
- Impact of probabilistic small-scale photovoltaic generation forecast on energy management systems W. El-Baz et al. 10.1016/j.solener.2018.02.069
- Analytic model for correlations of cloud induced fluctuations of clear-sky index B. Elsinga & W. van Sark 10.1016/j.solener.2017.07.035
- Robust Optimization for Electricity Generation H. Yang et al. 10.1287/ijoc.2020.0956
- Effects of temporal averaging on short-term irradiance variability under mixed sky conditions G. Lohmann & A. Monahan 10.5194/amt-11-3131-2018
- Spatiotemporal interpolation and forecast of irradiance data using Kriging M. Jamaly & J. Kleissl 10.1016/j.solener.2017.09.057
- Short-term peer-to-peer solar forecasting in a network of photovoltaic systems B. Elsinga & W. van Sark 10.1016/j.apenergy.2017.09.115
- Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice C. Barrientos Velasco et al. 10.5194/amt-13-1757-2020
- A spatiotemporal Markov-chain mixture distribution model of the clear-sky index J. Munkhammar & J. Widén 10.1016/j.solener.2018.12.064
- From Point to Area: Worldwide Assessment of the Representativeness of Monthly Surface Solar Radiation Records M. Schwarz et al. 10.1029/2018JD029169
- Power fluctuations in solar-storage clusters: spatial correlation and battery response times J. Barry et al. 10.1016/j.egypro.2017.09.516
- The HD(CP)<sup>2</sup> Observational Prototype Experiment (HOPE) – an overview A. Macke et al. 10.5194/acp-17-4887-2017
- Comparison between MRM simulations, CAMS and PVGIS databases with measured solar radiation components at the Methoni station, Greece B. Psiloglou et al. 10.1016/j.renene.2019.07.064
- Suppressing power output fluctuations of photovoltaic power plants M. Anvari et al. 10.1016/j.solener.2017.08.038
- Meteorological Radiation Model (MRM v6.1): Improvements in diffuse radiation estimates and a new approach for implementation of cloud products H. Kambezidis et al. 10.1016/j.rser.2017.02.058
- Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017) A. Habte et al. 10.1016/j.rser.2020.110285
- Real-time reaction control for solar production of chemicals under fluctuating irradiance F. Zhao et al. 10.1039/C8GC00613J
- An On-Line Low-Cost Irradiance Monitoring Network with Sub-Second Sampling Adapted to Small-Scale PV Systems M. Espinosa-Gavira et al. 10.3390/s18103405
- The seasonal variability and trends for the surface solar irradiation in northeastern region of Brazil F. Lima et al. 10.1016/j.seta.2019.08.006
- Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review G. Lohmann 10.3390/atmos9070264
- Simulating clear-sky index increment correlations under mixed sky conditions using a fractal cloud model G. Lohmann et al. 10.1016/j.solener.2017.04.048
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Short summary
Increasing numbers of photovoltaic (PV) power systems call for the characterization of irradiance variability with very high spatiotemporal resolution. We use 1 Hz irradiance data recorded by as many as 99 pyranometers and show mixed sky conditions to differ substantially from clear and overcast skies. For example, the probabilities of strong fluctuations and their respective spatial autocorrelation structures are appreciably distinct under mixed conditions.
Increasing numbers of photovoltaic (PV) power systems call for the characterization of...
Atmospheric Chemistry and Physics
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