3,889 resources related to Solar Radiation
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2021 IEEE Photovoltaic Specialists Conference (PVSC)
Photovoltaic materials, devices, systems and related science and technology
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science
Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies
The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more
All fields of satellite, airborne and ground remote sensing.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
The aim of this study was to perform a precise spatial distribution of solar radiation estimation using UAV as a way to use solar energy efficiently. Fixed wing UAV was used to acquire image for a precisely topographical map. The whole work can be divided into two step. In first step, images acquired by UAV are used to build a ...
2018 IEEE PES/IAS PowerAfrica, 2018
Available solar radiation is an important source of renewable energy that determines Tunisia's productivity but has been poorly characterized. Measured solar radiation datasets are generally not available for long periods. This paper studied the method of estimates for solar radiation based on satellite imagery and on the measured data by the national institute of meteorology. Data collected from the year ...
2014 IEEE PES General Meeting | Conference & Exposition, 2014
In order to obtain the solar radiation data (SRD), which are crucial for the photovoltaic power station planning, for the unmeasurable areas in China, both an inverse distance weighting (IDW) method and an artificial neural network (ANN) method are adopted to generate monthly global solar radiation (MGSR) data for the studied cities in this paper. For both methods, typical MGSR ...
2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), 2018
In the present work, we studied some theoretical models to estimate the components of solar radiation received at ground level. These models take into account the effects of scattering and absorption of solar radiation during its passage through the atmosphere. They are based on the determination of transmission coefficients of different atmospheric constituents. These factors require the availability of current ...
IEEE Sensors Journal, 2015
In this paper, a complementary metal-oxide-semiconductor (CMOS) calibrated monolithic illumination meter for monitoring solar radiation of tomato crops is newly proposed. The output signal is a pulse stream, it could be easily sent over a wide range of transmission media, such as package switch network, radio, optical, infrared, ultrasonic, and so on. Another innovation is that the proposed calibration method ...
Young Engineering Innovators Emerge at Solar Splash
Ride with the Teams at the World Solar Challenge
Renewable Power for Refugee Camps
Ito: Behind the honors
Dean Kamen's Artificial Arm
Energy Innovations: Solar Goes Small
Larson Collection interview with Rudolph Peierls
GHTC 2012 - Robert Freling Keynote
A Manhattan Project for the Prosthetic Arms Race
Do It Yourself: Home Solar
Surgeons Got Game
Playing Guitar Hero Without Hands
The Rocket-Powered Prosthetic Arm
Feeding the Machine: The World's Most Sophisticated Artificial Stomach
Power Electronics in PV-Systems: Status and Perspectives
Ready, Fire, Aim - Highlights of Hot Chips 20
The 6-Minute Memristor
Tapping the Computing Power of the Unconscious Brain
The aim of this study was to perform a precise spatial distribution of solar radiation estimation using UAV as a way to use solar energy efficiently. Fixed wing UAV was used to acquire image for a precisely topographical map. The whole work can be divided into two step. In first step, images acquired by UAV are used to build a digital surface model based on point cloud method. In the next step, calculated slope and angle data is used to model clear sky solar radiation. The solar radiation data for 2015 was taken from Korean Meteorological Administration (KMA). The highest daily solar radiation appears in May of 22.7 MJ/m<sup>2</sup>, and the lowest daily solar radiation in May appears 15.7MJ/m<sup>2</sup>. And the range of daily solar radiation appears in December is 2.9 MJ/m<sup>2</sup> to 7.1 MJ/m<sup>2</sup>. These results may be useful providing input to agricultural and ecosystem that are dependent on solar radiation, such as engineers, designers, developers, and so forth, during the selection location process for solar installation.
Available solar radiation is an important source of renewable energy that determines Tunisia's productivity but has been poorly characterized. Measured solar radiation datasets are generally not available for long periods. This paper studied the method of estimates for solar radiation based on satellite imagery and on the measured data by the national institute of meteorology. Data collected from the year 2015 in three different locations in Tunisia. The objectives of this study are: a) Assess of monthly global solar radiation using data of meteorology for three stations. b) Compare measured data with two different geostationary satellites imagery in order to validate the good estimation of the satellite imagery. c) Reduce the uncertainly of the use of satellite imagery long-term solar resource by validate the estimated data with those measured by the pyranometer from the meteorological station.
In order to obtain the solar radiation data (SRD), which are crucial for the photovoltaic power station planning, for the unmeasurable areas in China, both an inverse distance weighting (IDW) method and an artificial neural network (ANN) method are adopted to generate monthly global solar radiation (MGSR) data for the studied cities in this paper. For both methods, typical MGSR data for all the cities concerned are acquired by applying the typical meteorological year (TMY) method. The results show that the IDW method is only suitable for the case where the sampled cities and the studied city have relatively concentrated distribution and similar altitudes, while the ANN method performs well not only for the forementioned case but also for the case where the cities have comparatively dispersed distribution and different altitudes.
In the present work, we studied some theoretical models to estimate the components of solar radiation received at ground level. These models take into account the effects of scattering and absorption of solar radiation during its passage through the atmosphere. They are based on the determination of transmission coefficients of different atmospheric constituents. These factors require the availability of current meteorological parameters (relative humidity, air temperature, atmospheric pressure...etc.) and geographical parameters of the considered site as latitude, longitude and altitude. In this work we propose to estimate global solar radiation in two sites of Algeria: Tamanrasset and Ilizi. For this purpose three models are used: Lacis&Hansen, Lieu & Jordan and Capderou models Models were compared on the basis of statistical error tests using the coefficient of determination (R2), the root mean square error (RMSE).
In this paper, a complementary metal-oxide-semiconductor (CMOS) calibrated monolithic illumination meter for monitoring solar radiation of tomato crops is newly proposed. The output signal is a pulse stream, it could be easily sent over a wide range of transmission media, such as package switch network, radio, optical, infrared, ultrasonic, and so on. Another innovation is that the proposed calibration method can reduce the nonlinear error arising from sun sensors. By collocating with a monolithic sun sensor, which has a radiation range of 68.9-188.7 W/m2, the corresponding output frequency ranges from 0.7 to 1.82 MHz. After calibration, a measured maximum frequency error is 1.63%. Measurement results have successfully verified all the functions and performance of the proposed calibrated monolithic illumination meter and confirmed it to be applied on monitoring solar radiation of tomato crops. The proposed CMOS calibrated monolithic illumination meter is suitable for measuring solar radiation devices, such as the devices for detecting solar radiation of crops.
The aim of this paper is to study the possibility of using wavelet transform method for solar radiation data compression. The Daubechies wavelets were utilized for analyzing the transient nature of solar radiation. The measured solar radiation was subjected to the wavelets techniques for smoothing and filtering of data that was decomposed up to level 5. The findings from this study show that the Daubechies wavelets method can be used for filtering and smoothing of solar radiation. The results presented indicate that Daubechies 10 (D10) wavelet approach is suitable for data filtering and smoothing of the solar radiation data.
Solar energy is regarded as the most vital non conventional energy sources among all fossil fuels. For the purpose of modeling of solar energy conversion device solar radiation data is most essential. Hence, accurate measurement or prediction of solar radiation data is important for a particular location. The proposed system uses a Nonlinear Autoregressive Network with Exogenous Input (NARX) model to predict solar radiation. NARX approach is used to estimate daily global solar radiation by using meteorological parameters such as sunshine duration, temperature, humidity. Solar data in Bhubaneswar, India have been used in the present case. The data for the period of 2002-2005 are used for training the NARX network while the data for the year 2006 is used for testing. The results of NARX network are evaluated on the basis of mean square error and regression coefficient.
Accurate prediction of global solar radiation (GSR) is very important for all solar energy applications such as design of solar energy system, management of solar power plants and so on. But GSR data is not easily available in all the locations of India due to cost and other technical issues in measurement techniques. Hence it is essential to predict the solar radiation by employing solar radiation prediction models with available meteorological parameters as inputs. The input parameters include sunshine duration, temperature, wind speed, atmospheric pressure, and relative humidity and so on. This work is focused on the review of Artificial Neural Network (ANN) based solar radiation prediction. The ANN based model is applicable wherever the radiation data is unavailable. From the review results, it is concluded that ANN model gives good prediction accuracy than conventional regression models with correlation coefficient ranges from 0.97 to 0.99.
Global solar radiation is essential to the earth and human beings. Because of the scarcity of solar radiation observation stations, climatologic calculation methods and interpolation techniques are commonly adopted to derive the monthly global solar radiation and generate the regional distribution map. In this paper, the Angstrom-Prescott linear regression formula is applied to calculate monthly average solar radiation. A case study of Shanghai is also designed and carried out. With the observation data of global solar radiation and sunshine-hours from one observation station, the Angstrom-Prescott linear regression formula is trained to determine all necessary parameters, by which the monthly average solar radiation data of the other six weather stations with only sunshine-hour observation data can be derived. Several distribution maps of the global solar radiation in Shanghai are then generated using interpolation models in GIS, based on which spatial and temporal variation pattern of the monthly global solar radiation is discussed.
Availability of solar radiation data is very scarce in Lebanon and it is often not accessible. The estimation of solar data is the most important parameter for designing and developing various solar energy systems such as photovoltaic, solar water heater and concentrated solar power. The main objective of this paper is to present a comparison between different estimation models for global solar radiation based on sunshine duration applicable in Lebanon. Subsequently a new correlation is proposed to estimate the monthly average daily global solar radiation in Lebanon. Measured data were obtained from photovoltaic system installed on the roof of the Industrial Research Institute during 2013-2015. Estimated data of seven previous models and a proposed coefficients model, are compared to measured data based on the root mean error, the main bias error and the maximum permissible error. The results of using the new coefficients revealed that the error is minimized, and this new correlation can be used to predict the monthly mean average daily global solar radiations.
The general information in this Guide is intended to assist in evaluating the effect of solar radiation on outdoor metal-enclosed switchgear and is applicable to outdoor metal-enclosed power switchgear, control switchboards and metal-enclosed bus. Specific data are given in current temperature relationship and tabulation form for outdoor metal-enclosed low-voltage power circuit breaker switchgear, outdoor metal-clad switchgear and outdoor metal-enclosed interrupter ...