An Analysis of Observational Environments for Solar Radiation Stations of Korea Meteorological Administration using the Digital Elevation Model and Solar Radiation Model

2019 ◽  
Vol 40 (2) ◽  
pp. 119-134
Author(s):  
Joon-Bum Jee ◽  
◽  
Il-Sung Zo ◽  
Bu-Yo Kim ◽  
Kyu-Tae Lee
Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5714
Author(s):  
Bizuayehu Abebe Worke ◽  
Hans Bludszuweit ◽  
José A. Domínguez-Navarro

High quality of solar radiation data is essential for solar resource assessment. For remote areas this is a challenge, as often only satellite data with low spatial resolution are available. This paper presents an interpolation method based on topographic data in digital elevation model format to improve the resolution of solar radiation maps. The refinement is performed with a data mining method based on first-order Sugeno type Adaptive Neuro-Fuzzy Inference System. The training set contains topographic characteristics such as terrain aspect, slope and elevation which may influence the solar radiation distribution. An efficient sampling method is proposed to obtain representative training sets from digital elevation model data. The proposed geographic information system based approach makes this method reproducible and adaptable for any region. A case study is presented on the remote Amhara region in North Shewa, Ethiopia. Results are shown for interpolation of solar radiation data from 10 km × 10 km to a resolution of 1 km × 1 km and are validated with data from the PVGIS and SWERA projects.


2016 ◽  
Vol 13 (5) ◽  
pp. 453-460 ◽  
Author(s):  
Lurwan Mahmoud Sabo ◽  
Norman Mariun ◽  
Hashim Hizam ◽  
Mohd Amran Mohd Radzi ◽  
Azmi Zakaria

Purpose The purpose of this study is to evaluate the reliability of the technique for estimating solar radiation in areas of rough topography and to detect the source of error and means for improvement. Design/methodology/approach Spatial data of the study area in the form of digital elevation model (DEM) coupled with geographic information system (GIS) were used to estimate the monthly solar radiation at locations with rough topography. The generated data were compared with measured data collected from all the selected locations using NASA data. Findings The results show that the variation in topographic parameters has a strong influence on the amount of solar radiation received by two close locations. However, the method performed well for solar radiation estimated in the areas of rough topography. Research limitations/implications The proposed approach overestimates the monthly solar radiation as compared with NASA data due to the impact of topographic parameters accounted for by the model which are not accounted by conventional methods of measurements. This approach can be improved by incorporating the reflected component of radiation in the model used to estimate the solar radiation implemented in the GIS. Originality/value The approach of using GIS with DEM to estimate solar radiation enables to identify the spatial variability in solar radiation between two closest locations due to the influence of topographic parameters, and this will assist in proper energy planning and decision making for optimal areas of solar photovoltaic installation.


2019 ◽  
Vol 7 (4.14) ◽  
pp. 461
Author(s):  
Eng Choon Yeap ◽  
Hwee San Lim ◽  
Zubir Mat Jafri

Interest has been increasingly focused on the studies of solar radiation across the globe ever since people are more concern about energy conservation. Due to the increment of terrestrial application of solar energy, the scientific interest on solar distribution has expanded from broadband solar energy to its spectral distribution. Measurement of solar radiation with its spectral profile provides knowledge for making important decisions involving resources and energy, agriculture and climate. In remote sensing, the measurement of spectral solar radiation is important for sensor calibration and image enhancement to extract the most information out of a satellite image. The spectral radiation can be measured using spectral radiometer specifically design for measuring solar radiation; however such instruments are expensive and only provide point data which is very limited in most studies. This study aims to provide a rigorous spectral radiation model that predict the spectral solar irradiance in temporal resolution of every minute with spectral range from 350nm to 2200nm under cloudless condition. The parameters used in this model include the distance between sun and earth, time, coordinate, atmospheric interference and terrain effect. Atmospheric sounding data was used in this study to provide the necessary atmospheric parameter in the simulation of solar propagation through the atmosphere. The atmospheric effects considered in this study include Rayleigh scattering, aerosol attenuation and the absorption of water vapor, ozone and uniformly mixed gas. The simulation results were projected onto a digital elevation model to further calculate the effect introduced by the topographic variation and to get a three dimensional solar spectral radiation. The result obtained from this study is compared with spectral solar irradiance data collected during the month of June and July, 2018 with root mean square deviation of 9 watt per meter square at the wavelength of 350nm to 2200nm.  


2013 ◽  
Vol 03 (04) ◽  
pp. 618-626 ◽  
Author(s):  
Marcelo de Carvalho Alves ◽  
Luciana Sanches ◽  
José de Souza Nogueira ◽  
Vanessa Augusto Mattos Silva

2021 ◽  
Author(s):  
Slave Camelia ◽  

Nowadays, G.I.S. is widely used in the traditional cultivation of vines. The vineyard cultivation in Vrancea County is a traditional activity specific to this hilly area. G.I.S. provides tools and information on how the vineyard is cultivated, depending on the environmental factors that influence it: climate, soil, geological substrate through created maps using the ArcMap 10.5 program. G.I.S. is a tool that can be used to analyse and improve vineyard management decisions, and is also a powerful tool in collection, analysis and monitoring data. This article aims to show that different spatial analysis tools used nowadays can play an important role in monitoring vine plantations and implicitly in increasing the production of grapes that will end up as obtained quality wines. To create the slope map and the solar radiation map, it was used a DEM (digital elevation model) with a resolution of 30m. With the help of the created maps, it is possible to make a spatial analysis of the resources within Vrancea County.


2006 ◽  
Vol 13 (03) ◽  
pp. 279 ◽  
Author(s):  
J. Tovar-Pescador ◽  
D. Pozo-Vázquez ◽  
J. A. Ruiz-Arias ◽  
J. Batlles ◽  
G. López ◽  
...  

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