Evaluation and estimation of daily global solar radiation from the estimated direct and diffuse solar radiation

Xiao, Mingzhong; Yu, Zhigang; Cui, Yuanzheng

doi:10.1007/s00704-020-03140-4

Cited by 23 publications

(10 citation statements)

References 31 publications

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“…Based on this study, suggestions for further work including estimating the global solar radiation in Putrajaya using other models and different time scales; standardizing statistical tools in evaluating results or validating models; investigating the effects of regional haze on global solar radiation in Putrajaya; investigating the effects of monsoon weather on global solar radiation and setting up a pyranometer at a location in Putrajaya to collect long term global solar radiation data. Other recommendations for future work of the proposed work including the adoption of smart model to improve the estimation [27], consider both direct and diffuse solar radiation [28]& [30], climatic parameters [29], adoption of genetic algorithm [31] and influence of environmental pollution [32].…”

Section: Discussionmentioning

confidence: 99%

Sunshine-based Global Solar Radiation Modelling: Case Study of Putrajaya, Malaysia

Tsung

2020

JEST

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Electricity demands are on the rise and with it, carbon dioxide emissions from many conventional power plants are increasing. In the efforts to mitigate such phenomena, the Malaysian government seeks to implement Building Integrated Photovoltaic (BIPV) projects. Early stage studies on Global Solar Radiation (GSR) have been carried out in several states in Malaysia including Penang, Kuala Lumpur and Kota Bharu. Afterward, data from the Malaysia Meteorological Department and the Malaysia National University have been used to estimate the monthly average daily global radiation in various locations in Malaysia. Putrajaya, a location which is implementing Malaysian Building Integrated Photovoltaic (MBIPV) is among the locations where a GSR study is currently absent. Conventional methods exist for GSR estimation with the aid of pyranometer. However, this method of GSR estimation is time consuming and not cost-effective practice. The main objective of this study is to estimate the GSR in Putrajaya. This is achieved in this study by utilizing sunshine-based data with calculated monthly average daily extraterrestrial radiation on a horizontal surface and monthly average maximum possible daily sunshine to plot a linearly fitted graph. Coefficients in the Angstrom-Prescott (A-P) model was generated from the plotted graph and was used for GSR estimation where a = 0.5 and b = 0.11. The mean percentage error (MPE) of the GSR estimation was found to be 3.4. Therefore, the estimation of GSR in Putrajaya have been successful for the first-time using sunshine-based data from dual locations method. The GSR estimation of Putrajaya in this study could benefit stakeholders in civil development sectors, policy and energy authorities.

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Section: Discussionmentioning

confidence: 99%

Sunshine-based Global Solar Radiation Modelling: Case Study of Putrajaya, Malaysia

Tsung

2020

JEST

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“…where R s↓_dir0 (W/m 2 ) is the direct solar radiation on a horizontal surface, R b denotes the ratio of the direct solar radiation on an inclined surface to that on a horizontal surface, α day (radians) is the daily average solar elevation angle calculated based on the latitude (ϕ, radians) and day of the year (DOY) [75], θ z (radians) is the daily solar zenith angle complementary to α day , φ s (radians) is the daily solar azimuth angle, δ is the declination angle (radians) and can be calculated with the DOY [73], β (radians) is the slope, and A (radians) is the slope orientation. R s↓_dir0 can be estimated with the daily sunshine hours sunt and daily maximum possible sunshine hours sunt max with validated linear, quadratic, or cubic empirical regression models of R s↓_dir0 /R a and sunt/sunt max , expressed as Equation (4a-c) [76,77].…”

Section: Net Radiation Calculationmentioning

confidence: 99%

Incorporation of Net Radiation Model Considering Complex Terrain in Evapotranspiration Determination with Sentinel-2 Data

Wang

Elnashar

et al. 2022

Remote Sensing

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Evapotranspiration (ET) is the primary mechanism of water transformation between the land surface and atmosphere. Accurate ET estimation given complex terrain conditions is essential to guide water resource management in mountainous areas. This study is based on the ETWatch model driven by Sentinel-2 remote sensing data at a spatial resolution of 10 m incorporating a net radiation model considering the impact of a complex terrain. We tested our model with two years of data in two regions with a high relief near the Huairou (2020) and Baotianman (2019) weather stations. Regarding the validation results of the ET model, the coefficient of determination (R2) reached 0.84 in Huairou and 0.86 in Baotianman, while the root mean square error (RMSE) value reached 0.59 mm in Baotianman and 0.82 mm in Huairou. The validation results indicated that the model is applicable in regions with a complex terrain, and the ET results can capture topographic textures. In terms of the slope aspect, the ET value on south-facing slopes is higher than that on north-facing slopes in both study areas. Accurate ET monitoring in mountainous regions with a high relief yields a profound meaning in obtaining a better understanding of the characteristics of heat and water fluxes at different vegetation growth stages and underlying surface types, which can provide constructive suggestions for water management in mountainous areas.

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“…Accurate estimation of potential evapotranspiration is an important step for calculating crop water requirements under current and future climatic conditions, and various methods have been developed and compared with better estimate potential evapotranspiration [8]. As reported by [9], solar radiation is an essential input for those methods; however, if this input were not accurately quantified, the following performance comparison of different methods would be meaningless. The impacts of climate change on potential evapotranspiration have been widely assessed around the world [10][11], and accurately quantified solar radiation is expected to help better understand the contributions of different variables, such as temperature and relative humidity, to changes in potential evapotranspiration.…”

Section: Introductionmentioning

confidence: 99%

Seasonal variation of some atmospheric parameters in fresh water swamp and Sudan Savanna areas of Nigeria

Aweda¹,

Agbolade²,

Oyewole³

et al. 2021

Nig. J. Tech.

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The year in year out variation in atmospheric parameters, solar radiation, and meteorological variables such as ambient temperature, relative humidity RH, wind speed etc, are posies that can be and are used to describe the atmospheric conditions. Ten years of data obtained from the Nigerian Meteorological Agency (NiMet) was analysed. Results showed that solar radiation rises from January to get to its peak in April which is maintained till August before it begins to fall again with the Sudan savanna area (Maiduguri) having a value of (15.70 MJm-2month-1) and freshwater swamp area (Ikeja) having the value of (10.16 MJm-2month-1). The extraterrestrial radiations calculated for the two stations are 333.53 (MJm-2month-1) and 195.53 (MJm-2month-1) respectively. However, the relative humidity of Ikeja (84.54%) is higher as compared to that of Maiduguri (42.23%). The minimum temperature ranges observed for the two stations varies from (22 - 24)0C and (12 - 26)°C, while the maximum temperature was as high as 33°C and 40°C obtained in April for Ikeja and Maiduguri, respectively. Similarly, the average wind speed is higher for Ikeja (4.97m/s) than for Maiduguri (4.62m/s). The result of the statistical correlation reveals that, in Maiduguri, solar radiation was found to have a significant negative relationship with relative humidity (r = -.256, p<0.01) and a significant positive relationship with minimum and maximum temperature (p<0.05). This means that minimum and maximum temperatures increase as solar radiation increases (p<0.05). Relative humidity decreases as solar radiation increases. In Ikeja, solar radiation was found to have a significant negative relationship with relative humidity (r =-.350, p<0.01) and wind speed (r = -146, p<0.05) and significant positive relationship with minimum temperature (r =.410, p<0.05) and maximum temperature (r =.575, p<0.01). In conclusion, the variables like relative humidity, minimum temperature and wind speed are higher in the freshwater swamp area of Nigeria as compared to the Sudan savanna area, while the solar radiation, extraterrestrial radiation and maximum temperature are generally higher in the Sudan savanna area of Nigeria.

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Evaluation and estimation of daily global solar radiation from the estimated direct and diffuse solar radiation

Cited by 23 publications

References 31 publications

Sunshine-based Global Solar Radiation Modelling: Case Study of Putrajaya, Malaysia

Sunshine-based Global Solar Radiation Modelling: Case Study of Putrajaya, Malaysia

Incorporation of Net Radiation Model Considering Complex Terrain in Evapotranspiration Determination with Sentinel-2 Data

Seasonal variation of some atmospheric parameters in fresh water swamp and Sudan Savanna areas of Nigeria

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