Comparison of daily diffuse radiation models in regions of China without solar radiation measurement

Cao, Qimeng; Yu, Ying

doi:10.1016/j.energy.2019.116571

Cited by 49 publications

(16 citation statements)

References 60 publications

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“…With the improved Angstrom-Prescott model, Tang et al (2013) [32] show that SunDu data can derive accurate estimates of hourly, daily and monthly R s . Previous studies further demonstrate that SunDu can be used as a reliable proxy for direct R s observed data to reconstruct long-term R s [2,5,[43][44][45][46][47]. By using global SunDu-derived R s records, He et al (2018) [2] show that SunDu permitted a revisit of global dimming from the 1950s to the 1980s over China, Europe and the USA, with brightening from 1980 to 2009 in Europe and a declining trend of R s from 1994 to 2010 in China.…”

Section: Introductionmentioning

confidence: 89%

Merging High-Resolution Satellite Surface Radiation Data with Meteorological Sunshine Duration Observations over China from 1983 to 2017

Feng

Wang

2021

Remote Sensing

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Surface solar radiation (Rs) is essential to climate studies. Thanks to long-term records from the Advanced Very High-Resolution Radiometers (AVHRR), the recent release of International Satellite Cloud Climatology Project (ISCCP) HXG cloud products provide a promising opportunity for building long-term Rs data with high resolutions (3 h and 10 km). In this study, we compare three satellite Rs products based on AVHRR cloud products over China from 1983 to 2017 with direct observations of Rs and sunshine duration (SunDu)-derived Rs. The results show that SunDu-derived Rs have higher accuracy than the direct observed Rs at time scales of a month or longer by comparing with the satellite Rs products. SunDu-derived Rs is available from the 1960s at more than 2000 stations over China, which provides reliable decadal estimations of Rs. However, the three AVHRR-based satellite Rs products have significant biases in quantifying the trend of Rs from 1983 to 2016 (−4.28 W/m2/decade to 2.56 W/m2/decade) due to inhomogeneity in satellite cloud products and the lack of information on atmospheric aerosol optical depth. To adjust the inhomogeneity of the satellite Rs products, we propose a geographically weighted regression fusion method (HGWR) to merge ISCCP-HXG Rs with SunDu-derived Rs. The merged Rs product over China from 1983 to 2017 with a spatial resolution of 10 km produces nearly the same trend as that of the SunDu-derived Rs. This study makes a first attempt to adjust the inhomogeneity of satellite Rs products and provides the merged high-resolution Rs product from 1983 to 2017 over China, which can be downloaded freely.

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Section: Introductionmentioning

confidence: 89%

Merging High-Resolution Satellite Surface Radiation Data with Meteorological Sunshine Duration Observations over China from 1983 to 2017

Feng

Wang

2021

Remote Sensing

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“…Numerous studies on quality control of measured solar radiation data can be found in the literature (Geiger et al, 2002;Younes et al, 2005;Moradi, 2009;Journée and Bertrand, 2011). Compared to other meteorological variables, solar radiation measurement is more prone to errors (Moradi, 2009).…”

Section: Data Quality Controlmentioning

confidence: 99%

“…Compared to other meteorological variables, solar radiation measurement is more prone to errors (Moradi, 2009). Younes et al (2005) state two main sources of errors related to in situ measurement of solar radiation: those related to equipment and uncertainty and operational errors. Thus, prior to any computation two basic screenings were applied to recorded daily global radiation data to discard suspicious records associated with equipment and operational errors (Younes et al, 2005).…”

Section: Data Quality Controlmentioning

confidence: 99%

“…A third quality control screening was applied following Younes et al (2005) to detect erroneous data due to operational errors related with particularities of weather stations in high altitudes (e.g., shadows, impacts of snow, mechanical failures, etc.). They suggest a semi-automatic procedure that allows the creation of an expectancy envelope in the clearness index (CI) diffuse-to-global-irradiance ratio (k) domain to reject data too obviously erroneous.…”

Section: Data Quality Controlmentioning

confidence: 99%

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Two decades of distributed global radiation time series across a mountainous semiarid area (Sierra Nevada, Spain)

Aguilar

Pimentel

Polo

2021

Earth Syst. Sci. Data

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Abstract. The main drawback of the reconstruction of high-resolution distributed global radiation (Rg) time series in mountainous semiarid environments is the common lack of station-based solar radiation registers. This work presents 19 years (2000–2018) of high-spatial-resolution (30 m) daily, monthly, and annual global radiation maps derived using the GIS-based model proposed by Aguilar et al. (2010) in a mountainous area in southern Europe: Sierra Nevada (SN) mountain range (Spain). The model was driven by in situ daily global radiation measurements, from 16 weather stations with historical records in the area; a 30 m digital elevation model; and 240 cloud-free Landsat images. The applicability of the modeling scheme was validated against daily global radiation records at the weather stations. Mean RMSE values of 2.63 MJ m−2 d−1 and best estimations on clear-sky days were obtained. Daily Rg at weather stations revealed greater variations in the maximum values but no clear trends with altitude in any of the statistics. However, at the monthly and annual scales, there is an increase in the high extreme statistics with the altitude of the weather station, especially above 1500 m a.s.l. Monthly Rg maps showed significant spatial differences of up to 200 MJ m−2 per month that clearly followed the terrain configuration. July and December were clearly the months with the highest and lowest values of Rg received, and the highest scatter in the monthly Rg values was found in the spring and fall months. The monthly Rg distribution was highly variable along the study period (2000–2018). Such variability, especially in the wet season (October–May), determined the interannual differences of up to 800 MJ m−2 yr−1 in the incoming global radiation in SN. The time series of the surface global radiation datasets here provided can be used to analyze interannual and seasonal variation characteristics of the global radiation received in SN with high spatial detail (30 m). They can also be used as cross-validation reference data for other global radiation distributed datasets generated in SN with different spatiotemporal interpolation techniques. Daily, monthly, and annual datasets in this study are available at https://doi.org/10.1594/PANGAEA.921012 (Aguilar et al., 2021).

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“…Solar energy is a renewable energy source, along with water, steam, wind, and others. AC Becquerel first utilized solar energy in 1839, where he used silicon crystal to convert solar radiation into a voltage or electric current [10]- [13]. This phenomenon is also called the photovoltaic effect.…”

Section: A Solar Energymentioning

confidence: 99%

Performance Comparative Analysis of Monocrystalline and Polycrystalline Single Diode Solar Panel Models using the Five Parameters Method

Rahman

Aripriharta

Putranto

2019

FESPE

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The use of renewable energy as a source of electrical energyincreases every year. Unfortunately, Indonesia does not have manypower plants that utilize renewable energy sources. The mostpotential renewable energy in Indonesia is the sunlight with the helpof solar panels that converts solar energy into electrical energy.However, the environment could affect the solar panel module andin turn, affect the performance of solar panels or the generatedelectric energy. This research calculated the performance of solarpanels with a single-diode model using the Five Parameters methodthat required solar panel module specification data, the totalradiation absorbed by the solar panel module, and the temperatureof the environment. The Five Parameters method is a methodmodeled after solar panel module performance in the form of thesingle-diode equivalent circuit. The Five Parameters method isreliable in predicting the energy produced by the solar panels whenthe input data is limited. The results for using the Five Parametersin monocrystalline solar panels were Isc = 1.827 A, Imp = 0.662 A,Voc = 18.221 V, Vmp = 15.019 V, Pmp = 9.955 W. And the results inpolycrystalline solar panels were Isc = 1.926 A, Imp = 0.686 A, Voc =17.594 V, Vmp = 14.166 V, Pmp = 9.722 W. Based on the results; itwas concluded that the most efficient and optimised types of solarpanels on natural conditions in Sendang Biru Beach was themonocrystalline solar panel because it produced electrical outputpower of 9.955 W. Therefore, there could be a manufacturer ofsolar energy power plants to reduce the cost of electricity in thecoastal area, such as in Sendang Biru Beach.

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Comparison of daily diffuse radiation models in regions of China without solar radiation measurement

Cited by 49 publications

References 60 publications

Merging High-Resolution Satellite Surface Radiation Data with Meteorological Sunshine Duration Observations over China from 1983 to 2017

Merging High-Resolution Satellite Surface Radiation Data with Meteorological Sunshine Duration Observations over China from 1983 to 2017

Two decades of distributed global radiation time series across a mountainous semiarid area (Sierra Nevada, Spain)

Performance Comparative Analysis of Monocrystalline and Polycrystalline Single Diode Solar Panel Models using the Five Parameters Method

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