Mapping of solar insolation using air temperature in tropical and mountainous environments (original) (raw)
Related papers
Applied Sciences
Solar irradiance is an available resource that could support electrification in regions that are low on socio-economic indices. Therefore, it is increasingly important to understand the behavior of solar irradiance. and data on solar irradiance. Some locations, especially those with a low socio-economic population, do not have measured solar irradiance data, and if such information exists, it is not complete. There are different approaches for estimating solar irradiance, from learning models to empirical models. The latter has the advantage of low computational costs, allowing its wide use. Researchers estimate solar energy resources using information from other meteorological variables, such as temperature. However, there is no broad analysis of these techniques in tropical and mountainous environments. Therefore, in order to address this gap, our research analyzes the performance of three well-known empirical temperature-based models—Hargreaves and Samani, Bristol and Campbell, a...
Estimation of Solar Resource by Means of Spatial Interpolation
Proceedings of the ISES Solar World Congress 2019, 2019
Data from three weather stations is used to estimate the Global irradiance by means of data interpolation which are then compared with the solar resource estimated from nearby PV system. This numerical interpolation is be able to estimate the Global irradiance in the area englobing the weather station. The proposed method can be used to make a first analysis of Global irradiance on sites without Global irradiance measurements. That evaluation was conducted for Brazil, on Minas Gerais state with a Tropical weather with dry season.
A New GIS-based Solar Radiation Model and Its Application to Photovoltaic Assessments
Transactions in Gis, 2004
The solar radiation model r.sun is a flexible and efficient tool for the estimation of solar radiation for clear-sky and overcast atmospheric conditions. In contrast to other models, r.sun considers all relevant input parameters as spatially distributed entities to enable computations for large areas with complex terrain. Conceptually the model is based on equations published in the European Solar Radiation Atlas (ESRA). The r.sun model was applied to estimate the solar potential for photovoltaic systems in Central and Eastern Europe. The overcast radiation was computed from clear-sky values and a clear-sky index. The raster map of the clear-sky index was computed using a multivariate interpolation method to account for terrain effects, with interpolation parameters optimized using a cross-validation technique. The incorporation of terrain data improved the radiation estimates in terms of the model's predictive error and the spatial pattern of the model outputs. Comparing the results of r.sun with the ESRA database demonstrates that integration of the solar radiation model and the spatial interpolation tools in a GIS can be especially helpful for data at higher resolutions and in regions with a lack of ground measurements.
Energy Conversion and Management, 2015
In this study, several Angström-type regression models, namely the linear, quadratic, cubic, logarithmic and exponential models, are compared to estimate the global solar radiation on horizontal surfaces over a territory. The country of Tunisia is used as a case study for the methodology. The models studied were calibrated using four meteorological stations that are providing global solar radiation and sunshine duration data. The statistical analysis showed that the models assessed are well suited to accurately estimate the solar potential. Overall, the cubic model showed the best regression fit and performed slightly better than the others. However, since the difference between the models studied is insignificant, the linear model has been preferred for the mapping of the solar potential of the study area, mostly because of its simplicity. Two approaches were assessed for the use of the Angström-Prescott parameters: the classical approach which consists of using generic parameters for the whole study area, and a spline interpolation of these parameters. Both methods gave very similar results with a slight improvement for the classical approach which has been employed to map the spatial and temporal distribution of the solar potential of the study area using spline interpolations at a 500 m  500 m resolution. In application to the territory of the case study, the monthly mean daily global solar radiation in Tunisia varies between 6.9 MJ/m 2 /day in the north of the country during January and 28 MJ/m 2 /day in June, in the surroundings of the Gulf of Gabes. Annually, the monthly mean daily solar radiation ranges from 15.7 to 19.4 MJ/m 2 /day, increasing from north to south.
Global Solar Insolation Estimation and Investigation: A Case Study of Various Nations and Cities
IEEE Access, 2021
Solar insolation is sun radiation converted to electrical energy and injected into the utility network using grid-connected solar power plants. Recently, in many nations’ electricity grids, the share of power generated using solar photovoltaic (PV) power plants is rapidly increasing. In this case study, solar insolation levels on different latitudes with fix & two seasonal tilt angles have been measured using Meteonorm® software. For these latitudes, fourteen airport locations have been chosen across the globe. From the case study, it has been evident that a double seasonal tilt angle provides more global insolation as compared to fix tilt angle with a suitable azimuth angle. There is also a reduction in insolation level at fixed and two seasonal tilt angles if going away from the equator. Further, up to three seasonal tilt angles, there is sufficient enhancement has been observed in solar insolation. It is also analyzed that for multiple seasonal tilt angle based solar PV Plant, mo...
Comparison of spatial interpolation methods for estimating solar radiation in South Korea
The objective of this study is to decide a spatial interpolation method for estimating solar radiation in South Korea for the suitability analysis. Firstly, the study extracted regression equations between sunshine duration and solar radiation for 22 meteorological stations. We used the Tiessen method for estimating solar radiation with 22 stations because the 55 stations do not observe solar radiation. The stations in same polygons have same regression equations to estimate solar radiation from sunshine duration. The estimated solar radiation of 77 stations uses an interpolation for spatial distribution of solar radiation. We used methods of interpolation as IDW, Spline, SK and OK. As a result, the OK method shows that the lowest MAE and RMSE. The results obtained are resonable and an obvious finding from spatial distribution idicated that OK approach is a very useful tool for the unknown regions.
Suitability Mapping of Solar Energy Potential of Selected Areas in Camarines Sur using ArcGIS
Journal of Engineering and Emerging Technologies
Solar energy, the most common and scalable renewable energy, has a huge potential to supply the increasing electricity demand. Hence, proper site selection for deploying solar PV systems is required. This paper presents the development of a solar suitability map to identify potential sites for solar PV systems in the selected areas in the Rinconada District of the province of Camarines Sur, Philippines. ArcGIS analyzed the annual average solar radiation, weather datasets, and geographical conditions and performed suitability mapping combined with the Analytic Hierarchy Process (AHP) to identify the weights of the nine criteria of suitable site selection. Based on these factors, twenty-seven (27) barangays were found suitable, where the central and eastern parts of Barangay Malawag in Nabua and a massive part of Barangay Causip in Bula are the most suitable locations for large-scale solar PV installation.
Comparison of spatial interpolation methods for the estimation of solar radiation in South Korea
The objective of this study is to decide a suitable spatial interpolation method for estimating solar radiation in South Korea. Firstly, the study extracted regr ession equations between sunshine duration and solar radiation for 22 meteorological stations. We used the Thiessen method for estimating solar radiation with 22 stations because the 55 stations do not observe solar radiation. The stations in same polygons have same regression equations to estimate solar radiation from sunshine duration. The estimated solar radiation of 77 stations uses an interpolation for spatial distribution of solar radiation. We selected four interpolation methods, which were IDW, Spline, SK and OK to estimate a solar radiation at the unmeasured regions. As a result, the OK method shows that the lowest MAE and RMSE. The obtained results are reasonable and an obvious finding from spatial distribution indicated that OK approach is a very useful tool for the unknown solar radiation regions. Park , J. & Park. J. Comparison of spatial interpolation methods for the estimation of solar radiation in South Korea , AWERProcedia Advances in Applied Sciences. [Online]. 2013, 1, pp 555-561. Available from: http://www.world-education-center.org/index.php/paas 556
Estimating Solar Irradiance for Crop Modeling Using Daily Air Temperature Data
Agronomy Journal, 1999
stricting their application in retrospective or validation studies (Hutchinson, 1991). Crop growth models require solar irradiance as input data, yet The need for solar irradiance data for crop models there are few places where such data are routinely measured. For has led researchers to develop a number of methods for locations where measured values are not available, solar irradiance simulating such data. For example, some crop modelers can be estimated using empirical models such as the Bristow-(e.g., Rosenthal et al., 1989) have incorporated stochas-Campbell (B-C) model. This study was conducted to assess the spatial and seasonal accuracy of the B-C model for midcontinental locations tic weather generators into their simulations. These in Kansas. A 30-year data set from Manhattan, KS, was used to weather generators simulate irradiance and other metecalibrate and evaluate unmodified and modified forms of the B-C orological and climatological inputs based on probabilismodel. The effect of seasonality was investigated by subdividing the tic criteria. This approach eliminates the need for meayearly data into two subsets, a high noontime solar elevation angle sured solar irradiance; however, it seems reasonable period, ranging from DOY 121 to 273, and a low noontime elevation that estimated, rather than randomly generated, solar angle period comprising the remainder of the year. The B-C model irradiance values would also result in improved yield eswas also evaluated without seasonal division of the year. The calitimates. brated models were then tested against measured solar irradiance A number of techniques are available for estimating values for 10 sites distributed across the state of Kansas. Results solar irradiance. These vary in sophistication from simindicate that, for the calibration site at Manhattan, irradiance was ple empirical formulations based on common weather more accurately estimated using a modified form of the B-C model. For the yearly data, root mean square error (RMSE) was 3.9 MJ m Ϫ2 or climate data to complex radiative transfer schemes d Ϫ1 (25% error), compared with 5.2 MJ m Ϫ2 d Ϫ1 (24% error) for the that explicitly model the absorption and scattering of high solar elevation angle period and 3.6 MJ m Ϫ2 d Ϫ1 (32% error) the solar beam as it passes through the atmosphere. for the low solar elevation angle period. The RMSE for the 10 test These more complex models are capable of highly accusites ranged from 2.0 to 6.2 MJ m Ϫ2 d Ϫ1 ; percentage error ranged rate estimates of incoming solar irradiance. However, from 26 to 47%. Neither latitude nor distance from the calibration they tend to be too complex and data-intensive for opersite significantly affected the accuracy of irradiance estimates at the ational use, or are limited by requirements for siteevaluation sites. Results suggest that the modified B-C model provides specific data which are unavailable outside of a few reasonably accurate estimates of irradiance at noninstrumented sites
A comparison of some kriging interpolation methods for the production of solar radiation maps
2005
Many environmental processes depend on the amount of solar radiation at the ground level. Ground measurements are often available, even for long time series, and are used as input for spatial interpolation models to produce continuous maps of solar radiation. The aim of this work is to evaluate the results of different kriging interpolation approaches. This kind of comparison presents