scholarly journals Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017)

2020 ◽  
Vol 134 ◽  
pp. 110285
Author(s):  
Aron Habte ◽  
Manajit Sengupta ◽  
Christian Gueymard ◽  
Anastasios Golnas ◽  
Yu Xie
2021 ◽  
Author(s):  
Manajit Sengupta ◽  
Aron Habte

<p>Understanding long-term solar resource variability is essential for planning and deployment of solar energy systems. These variabilities occur due to deterministic effects such as sun cycle and nondeterministic such as complex weather patterns. The NREL’s National Solar Radiation Database (NSRDB) provides long term solar resource data covering 1998- 2019 containing more than 2 million pixels over the Americas and gets updated on an annual basis. This dataset is satellite-based and uses a two-step physical model for it’s development. In the first step we retrieve cloud properties such as cloud mask, cloud type, cloud optical depth and effective radius. The second step uses a fast radiative transfer model to compute solar radiation.  This dataset is ideal for studying solar resource variability. For this study, NSRDB version 3 which contains data from 1998-2017 on a half hourly and 4x4 km temporal and spatial resolution was used. The study analyzed the spatial and temporal trend of solar resource of global horizontal irradiance (GHI) and direct normal irradiance (DNI) using long-term 20-years NSRDB data. The coefficient of variation (COV) was used to analyze the spatio-temporal interannual and seasonal variabilities. The spatial variability was analyzed by comparing the center pixel to neighboring pixels. The spatial variability result showed higher COV as the number of neighboring pixels increased. Similarly, the temporal variability for the NSRDB domain ranges on average from ±10% for GHI and ±20% for DNI. Furthermore, the long-term variabilities were also analyzed using the Köppen-Geiger climate classification. This assisted in the interpretation of the result by reducing the originally large number of pixels into a smaller number of groups. This presentation will provided a unique look at long-term spatial and temporal variability of solar radiation using high-resolution satellite-based datasets.</p>


Author(s):  
David K. Click ◽  
Houtan Moaveni ◽  
Kristopher O. Davis ◽  
Richard H. Meeker ◽  
Robert M. Reedy ◽  
...  

2020 ◽  
Author(s):  
Christian John ◽  
Douglas Miller ◽  
Eric S. Post

Spring green-up in Arctic and alpine systems is predominantly controlled by temperature and snowmelt timing preceding and during the growing season. Variation in the timing of green-up across space is an important aspect of resource variability with which mobile herbivores must contend. Here, we measure the explanatory power of abiotic drivers of green-up in a Low Arctic region of west Greenland, host to a migratory caribou population. We identify inconsistent relationships between green-up and abiotic drivers across space. While green-up timing is most closely related to snowmelt in some areas, in others it is most closely related to spring temperature. The negative correlation between the explanatory power of snowmelt and temperature suggests that at broad scales, where green-up is more constrained by snow cover, such as moist, mountainous coastal areas, it is less constrained by temperature. Where snow is less persistent through winter, such as cold, dry inland areas, temperature becomes the predominant factor driving green-up. If the principal driver of spring plant growth is inconsistent across a region, long-term trends in resource phenology could vary spatially. For seasonal migrants like caribou, synchronizing migration timing with resource phenology may be complicated by discordant interannual change across drivers of green-up timing.


2015 ◽  
Vol 13 ◽  
pp. 341-347 ◽  
Author(s):  
Gabriela Demian ◽  
Mihai Demian ◽  
Lizia Bogdan

The paper makes an assessment of the long term solar resource for the location of a photovoltaic solar park in the Pristol, Mehedinti County, Romania. Reference data and observations in the proximity of the solar park location were limited, and the analysis was based on a Typical Meteorological Year (TMY) Meteonorm developed to represent the behavior of the solar resource at the site of Photovoltaic Solar Park. The level of Global Horizontal Irradiance (GHI) was evaluated as 1376 kWh/m2/year, while values for direct normal irradiance (DNI) and diffuse horizontal irradiance (DHI), the resulting values were 1553 kWh/m2/year and 606 kWh/m2/year, respectively, provided for long-term behavior.


2003 ◽  
Vol 125 (2) ◽  
pp. 203-206 ◽  
Author(s):  
L. Sanidad ◽  
Y. Baghzouz ◽  
R. Boehm ◽  
E. Hodge

A compact stand-alone PV power system was recently designed and built to run an air sampler for environmental monitoring at the Nevada Test Site. This paper presents an overview of the system design and analysis of some of the recorded daily cycles of various power flows during the summer period. The system long-term performance during both high and low solar resource periods is simulated with the computer code PVFORM using historical weather data.


Solar Energy ◽  
2016 ◽  
Vol 123 ◽  
pp. 29-39 ◽  
Author(s):  
Carlos M. Fernández Peruchena ◽  
Lourdes Ramírez ◽  
Manuel A. Silva-Pérez ◽  
Vicente Lara ◽  
Diego Bermejo ◽  
...  

Author(s):  
Muhammad M. Rafique ◽  
Graham Nathan ◽  
Woei Saw

Abstract In this paper, the effect of solar resource variability has been assessed on the start-up time and different heat transfer phenomena associated with a high temperature particle receiver. The receiver analyzed in this study has a cylindrical cavity made of three different layers in order to have good absorption, higher durability and lower thermal heat losses. A detailed transient mathematical model is developed, considering the input solar energy to the receiver aperture and all heat losses from the receiver cavity. The developed transient model is employed to study the time required to achieve a receiver start-up temperature from room temperature to 1000°C, under steady-state and transient operation, for the climatic conditions of Pinjarra, Australia. Furthermore, the total energy gain by the receiver and associated heat losses including re-radiation, convection, and conduction have been accounted for, with and without considering the solar resource variability. The results revealed that an uncertainty of about 40% exists in the prediction of the receiver start-up time and associated heat losses during the start-up period under steady state operation, with a constant input heat flux. This uncertainty in the prediction of the receiver start-up time and losses will directly affect the overall performance and design of the receiver, which will result in unscheduled disruption of the industrial process. This indicates a need to analyse the performance of high temperature particle receivers under transient conditions, considering the solar resource variability for practical implementation of this technology to different processes. This will help to investigate better control strategies for the inflow of particles, based on the real-time climatic conditions, to achieve better thermal performance.


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