This document presents a new approach for predicting the daily global solar irradiance received on a horizontal surface as a function of local daytime and the maximum daily value. An exponential distribution function is suggested and compared to experimental data from several locations. The maximum daily value (qmax) is estimated theoretically in terms of the solar constant adjusted for earth-sun distance variation. Computed values using the new approach show good agreement with experimental data, within 16% error except for some extreme points.
Further analysis of the References- part 2. Some further analyses about directional recoil, cross sections, galaxy Physics and experiment-optimizations techniques.
VIA Forum Astroparticle Physics Forum COSMOVIA
Author: O.M. Lecian.
Title: LHAASO Further references- part2.
28/03/2020
http://viavca.in2p3.fr/2010c_o_s_m_o_v_i_a__forum_sd24fsdf4zerfzef4ze5f4dsq34sdteerui45788789745rt7yr68t4y54865h45g4hfg56h45df4h86d48h48t7uertujirjtiorjhuiofgrdsqgxcvfghfg5h40yhuyir/viewtopic.php?f=73&t=3705&sid=c56cbf76f87536fc4c3ff216d9edaba2
Anisotropic Bianchi Type-III Dark Energy Model with Time-Dependent Decelerati...IOSR Journals
An anisotropic Bianchi type-III cosmological model is investigated in a Saez-Ballester scalar-tensor theory of gravitation. Three different time-dependent skewness parameters along spatial directions are introduced to represent the deviation of pressure from isotropy. To get deterministic solutions of the field equations, we choose variation law of scale factor 𝑆= (𝑡𝑟𝑒𝑡)1𝑙 which yields a time-dependent deceleration parameter (DP) representing a model that generates a transition of the universe from the early decelerating phase to the present accelerating phase. Some physical and geometrical properties of the model are also discussed.
In the first part of the talk, we will present a sensitivity analysis of a novel sea ice model. neXtSIM is a continuous Lagrangian numerical model that uses an elastobrittle rheology to simulate the ice response to external forces. The response of the model is evaluated in terms of simulated ice drift distances from its initial position and from the mean position of the ensemble. The simulated ice drift is decomposed into advective and diffusive parts that are characterized separately both spatially and temporally and compared to what is obtained with a free-drift model, i.e. when the ice rheology does not play any role. Overall the large-scale response of neXtSIM is correlated to the ice thickness and the wind velocity fields while the free-drift model response is mostly correlated to the wind velocity pattern only. The seasonal variability of the model sensitivity shows the role of the ice compactness and rheology at both local and Arctic scales. Indeed, the ice drift simulated by neXtSIM in summer is close to the free-drift model, while the more compact and solid ice pack is showing a significantly different mechanical and drift behavior in winter. In contrast of the free-drift model, neXtSIM reproduces the sea ice Lagrangian diffusion regimes as found from observed trajectories. The forecast capability of neXtSIM is also evaluated using a large set of real buoy’s trajectories. We found that neXtSIM performs better in simulating sea ice drift, both in terms of forecast error and as a tool to assist search-and-rescue operations. Adaptive meshes, as the one used in neXtSIM, are used to model a wide variety of physical phenomena. Some of these models, in particular those of sea ice movement, use a remeshing process to remove and insert mesh points at various points in their evolution. This represents a challenge in developing compatible data assimilation schemes, as the dimension of the state space we wish to estimate can change over time when these remeshings occur.
In the second part of the talk, we highlight the challenges that such a modeling framework represents for data assimilation setup. We then describe a remeshing scheme for an adaptive mesh in one dimension. The development of advanced data assimilation methods that are appropriate for such a moving and remeshed grid is presented. Finally we discuss the extension of these techniques to two-dimensional models, like neXtSIM.
Physical processes in the earth system are modeled with mathematical representations called parameterizations. This talk will describe some of the conceptual approaches and mathematics used do describe physical parameterizations focusing on cloud parameterizations. This includes tracing physical laws to discrete representations in coarse scale models. Clouds illustrate several of the complexities and techniques common to many physical parameterizations. This includes the problem of different scales, sub-grid scale variability. Discussions of mathematical methods for dealing with the sub-grid scale will be discussed. In-exactness or indeterminate problems for both weather and climate will be discussed, including the problems of indeterminate parameterizations, and inexact initial conditions. Different mathematical methods, including the use of stochastic methods, will be described and discussed, with examples from contemporary earth system models.
Extreme weather events pose great potential risk on ecosystem, infrastructure and human health. Analyzing extreme weather in the observed record (satellite, reanalysis products) and characterizing changes in extremes in simulations of future climate regimes is an important task. Thus far, extreme weather events have been typically specified by the community through hand-coded, multi-variate threshold conditions. Such criteria are usually subjective, and often there is little agreement in the community on the specific algorithm that should be used. We propose the use of a different approach: machine learning (and in particular deep learning) for solving this important problem. If human experts can provide spatio-temporal patches of a climate dataset, and associated labels, we can turn to a machine learning system to learn the underlying feature representation. The trained Machine Learning (ML) system can then be applied to novel datasets, thereby automating the pattern detection step. Summary statistics, such as location, intensity and frequency of such events can be easily computed as a post-process.
We will report compelling results from our investigations of Deep Learning for the tasks of classifying tropical cyclones, atmospheric rivers and weather front events. For all of these events, we observe 90-99% classification accuracy. We will also report on progress in localizing such events: namely drawing a bounding box (of the correct size and scale) around the weather pattern of interest. Both tasks currently utilize multi-layer convolutional networks in conjunction with hyper-parameter optimization. We utilize HPC systems at NERSC to perform the optimization across multiple nodes, and utilize highly-tuned libraries to utilize multiple cores on a single node. We will conclude with thoughts on the frontier of Deep Learning and the role of humans (vis-a-vis AI) in the scientific discovery process.
Further analysis of the References- part 2. Some further analyses about directional recoil, cross sections, galaxy Physics and experiment-optimizations techniques.
VIA Forum Astroparticle Physics Forum COSMOVIA
Author: O.M. Lecian.
Title: LHAASO Further references- part2.
28/03/2020
http://viavca.in2p3.fr/2010c_o_s_m_o_v_i_a__forum_sd24fsdf4zerfzef4ze5f4dsq34sdteerui45788789745rt7yr68t4y54865h45g4hfg56h45df4h86d48h48t7uertujirjtiorjhuiofgrdsqgxcvfghfg5h40yhuyir/viewtopic.php?f=73&t=3705&sid=c56cbf76f87536fc4c3ff216d9edaba2
Anisotropic Bianchi Type-III Dark Energy Model with Time-Dependent Decelerati...IOSR Journals
An anisotropic Bianchi type-III cosmological model is investigated in a Saez-Ballester scalar-tensor theory of gravitation. Three different time-dependent skewness parameters along spatial directions are introduced to represent the deviation of pressure from isotropy. To get deterministic solutions of the field equations, we choose variation law of scale factor 𝑆= (𝑡𝑟𝑒𝑡)1𝑙 which yields a time-dependent deceleration parameter (DP) representing a model that generates a transition of the universe from the early decelerating phase to the present accelerating phase. Some physical and geometrical properties of the model are also discussed.
In the first part of the talk, we will present a sensitivity analysis of a novel sea ice model. neXtSIM is a continuous Lagrangian numerical model that uses an elastobrittle rheology to simulate the ice response to external forces. The response of the model is evaluated in terms of simulated ice drift distances from its initial position and from the mean position of the ensemble. The simulated ice drift is decomposed into advective and diffusive parts that are characterized separately both spatially and temporally and compared to what is obtained with a free-drift model, i.e. when the ice rheology does not play any role. Overall the large-scale response of neXtSIM is correlated to the ice thickness and the wind velocity fields while the free-drift model response is mostly correlated to the wind velocity pattern only. The seasonal variability of the model sensitivity shows the role of the ice compactness and rheology at both local and Arctic scales. Indeed, the ice drift simulated by neXtSIM in summer is close to the free-drift model, while the more compact and solid ice pack is showing a significantly different mechanical and drift behavior in winter. In contrast of the free-drift model, neXtSIM reproduces the sea ice Lagrangian diffusion regimes as found from observed trajectories. The forecast capability of neXtSIM is also evaluated using a large set of real buoy’s trajectories. We found that neXtSIM performs better in simulating sea ice drift, both in terms of forecast error and as a tool to assist search-and-rescue operations. Adaptive meshes, as the one used in neXtSIM, are used to model a wide variety of physical phenomena. Some of these models, in particular those of sea ice movement, use a remeshing process to remove and insert mesh points at various points in their evolution. This represents a challenge in developing compatible data assimilation schemes, as the dimension of the state space we wish to estimate can change over time when these remeshings occur.
In the second part of the talk, we highlight the challenges that such a modeling framework represents for data assimilation setup. We then describe a remeshing scheme for an adaptive mesh in one dimension. The development of advanced data assimilation methods that are appropriate for such a moving and remeshed grid is presented. Finally we discuss the extension of these techniques to two-dimensional models, like neXtSIM.
Physical processes in the earth system are modeled with mathematical representations called parameterizations. This talk will describe some of the conceptual approaches and mathematics used do describe physical parameterizations focusing on cloud parameterizations. This includes tracing physical laws to discrete representations in coarse scale models. Clouds illustrate several of the complexities and techniques common to many physical parameterizations. This includes the problem of different scales, sub-grid scale variability. Discussions of mathematical methods for dealing with the sub-grid scale will be discussed. In-exactness or indeterminate problems for both weather and climate will be discussed, including the problems of indeterminate parameterizations, and inexact initial conditions. Different mathematical methods, including the use of stochastic methods, will be described and discussed, with examples from contemporary earth system models.
Extreme weather events pose great potential risk on ecosystem, infrastructure and human health. Analyzing extreme weather in the observed record (satellite, reanalysis products) and characterizing changes in extremes in simulations of future climate regimes is an important task. Thus far, extreme weather events have been typically specified by the community through hand-coded, multi-variate threshold conditions. Such criteria are usually subjective, and often there is little agreement in the community on the specific algorithm that should be used. We propose the use of a different approach: machine learning (and in particular deep learning) for solving this important problem. If human experts can provide spatio-temporal patches of a climate dataset, and associated labels, we can turn to a machine learning system to learn the underlying feature representation. The trained Machine Learning (ML) system can then be applied to novel datasets, thereby automating the pattern detection step. Summary statistics, such as location, intensity and frequency of such events can be easily computed as a post-process.
We will report compelling results from our investigations of Deep Learning for the tasks of classifying tropical cyclones, atmospheric rivers and weather front events. For all of these events, we observe 90-99% classification accuracy. We will also report on progress in localizing such events: namely drawing a bounding box (of the correct size and scale) around the weather pattern of interest. Both tasks currently utilize multi-layer convolutional networks in conjunction with hyper-parameter optimization. We utilize HPC systems at NERSC to perform the optimization across multiple nodes, and utilize highly-tuned libraries to utilize multiple cores on a single node. We will conclude with thoughts on the frontier of Deep Learning and the role of humans (vis-a-vis AI) in the scientific discovery process.
Climate model parameterizations of cumulus convection and other clouds that form due to small-scale turbulent eddies are a leading source of uncertainty in predicting the sensitivity of global warming to greenhouse gas increases. Even though we can write down equations governing the physics of cloud formation and fluid motion, these cloud-forming eddies are not resolved by the grid of a climate model, so the subgrid covariability of cloud processes and turbulence must be parameterized. Many approaches are used, all involving numerous subjective assumptions. Even when optimized to match present-day climate, these approaches produce a broad range of predictions about how clouds will change in a future climate.
High resolution models which explicitly simulate the clouds and turbulence on a very fine computational grid more realistically simulate cloud formation compared to observations. But it has proved challenging to translate this skill into better climate model parameterizations.
We will present one naturally stochastic approach for this using a computationally expensive approach called ‘superparameterization’ and then we will lay out a vision for how machine learning could be used to do this translation, which amounts to a form of stochastic coarse-graining. Developing the statistical and computational methods to realize this vision is a good challenge for this SAMSI year.
The pearled solar eclipse of 1912.04.17 occurred 60 hours after the TITANIC disaster had cast its shadow upon this exciting event. The data collected during this most elusive eclipse are compared to those generated by Xavier JUBIER's 5MCSE, the most up-to date ergonomical solar eclipse simulation freeware, which allows the choice of the DeltaT parameter, as well as the exact GPS Coordinates of the observation site such as the balloon Globule at 900 meter over Rethondes.
This problem represents an interesting opportunity for scientists and statisticians to collaborate since the problem is too big for either community. The science is not well established, although fairly sophisticated ice flow models exist. They are even becoming relevant to explain some of the complexity seen in observational data. At the same time, the complex phenomena we see in observations may not be particularly relevant to assessing the risks of significant increases in sea level rise over the near future. The talk will review what we have learned about this problem through the PISCEES SciDAC project. This problem is rich with challenges and opportunities, particularly for realigning how our two communities engage each other. The talk will review the computational, scientific, and mathematical "reality checks" that might stop any reasonable person from considering this topic further. I then will point out how each of these challenges could be mitigated if these different perspectives were better integrated.
Over a seven-day period in August 2017 Hurricane Harvey brought extreme levels of rainfall to the Houston area, resulting in catastrophic flooding that caused loss of human life and damage to personal property and public infrastructure. In the wake of this event, there is growing interest in understanding the degree to which this event was unusual and estimating the probability of experiencing a similar event in other locations. Additionally, we investigate the degree to which the sea surface temperature in the Gulf of Mexico is associated with extreme precipitation in the US Gulf Coast. This talk addresses these issues through the development of an extreme value model.
We assume that the annual maximum precipitation values at Gulf Coast locations approximately follow the Generalized Extreme Value (GEV) distribution. Because the observed precipitation record in this region is relatively short, we borrow strength across spatial locations to improve GEV parameter estimates. We model the GEV parameters at US Gulf Coast locations using a multivariate spatial hierarchical model based on coregionalization; for inference, a two-stage approach is utilized. Spatial interpolation is used to estimate GEV parameters at unobserved locations, allowing us to characterize precipitation extremes throughout the region. Nearby locations may experience extreme precipitation from the same event, resulting in dependence between annual maxima that previous spatial models of this sort have ignored. Our model incorporates dependence of this type and uses the nonparametric bootstrap to estimate its effect.
ASTUDYOF TSUNAMIMODEL FOR PROPAGATION OF OCEANICWAVESDr.E.Syed Mohamed
This paper tries to study this phenomenon that shows a considerable amount of uncertainty. To
model the spread of tsunami waves, the initial wave can be considered as a continuous two dimensional
closed curve. Each point in its parametric representation on the curve will act as a point source which
expands as a small ellipse. The parameters of each ellipse depend on many factors such as the energy
focusing effect, travel path of the waves,
From Weather Dwarfs to Kilometre-Scale Earth System Simulationsinside-BigData.com
In this deck from PASC18, Nils P. Wedi from ECMWF presents: From Weather Dwarfs to Kilometre-Scale Earth System Simulations.
"The increasingly large amounts of data being produced b weather and climate simulations and earth system observations is sometimes characterised as a deluge. This deluge of data is both a challenge and an opportunity. The main opportunities are to make use of this wealth of data to 1) improve knowledge by extracting additional knowledge from the data and 2) to improve the quality of the models themselves by analysing the accuracy, or lack thereof, of the resultant simulation data. An example of the former case is improved prediction of large scale phenomena such as El Nino. An example of the latter is the improvement of a Physics parameterisation scheme through detailed analysis of the errors in a large number of datasets.
"One way to realize these opportunities is to use machine learning approaches. As machine learning in weather and climate is a relatively new topic this minisymposium introduces the audience to how machine learning could be used in weather and climate and outlines its implications in terms of computing costs. To ground the ideas in concrete examples it also illustrates the use of machine learning in the weather and climate domain with practical examples."
Watch the video: https://wp.me/p3RLHQ-iPB
Learn more: https://pasc18.pasc-conference.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
2013 ASPRS Track, Developing an ArcGIS Toolbox for Estimating EvapoTranspirat...GIS in the Rockies
Estimating water used by vegetated areas is very important for water resources management and water rights. Traditionally the amount of water delivered to an area is calculated by installing some measuring device (flumes, weirs, flow meters, etc.). The alternative approach presented here estimates the actual water use in a vegetated areas based on ground surface energy balance concept using the ReSET model (Remote Sensing of ET – ReSET developed by IDS group in Colorado state university) that uses satellite and Arial imagery with visible and thermal bands along with weather data to estimate daily actual crop Evapotranspiration (ET) for vegetated areas. Surface energy balance models have been proven to be a robust approach for estimating vegetation evapotranspiration. One of the main limitations of wider application of these models in water resources and irrigation management is the requirement of extensive back ground in surface energy modeling. This presentation shows the development and the application of an ArcGIS toolbox that runs an automated version of the ReSET model. The tool is compatible with NASA/USGS Landsat Legacy Project. The presented ArcGIS tool automates the model in all stages and requires minimum interference from user. The tool presented accommodates both basic and advanced users. The results using the tool were tested and validated using results from manual ReSET model runs.
Estimation of Solar Radiation over Ibadan from Routine Meteorological Parameterstheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Towards the identification of the primary particle nature by the radiodetecti...Ahmed Ammar Rebai PhD
Radio signal from extensive air showers EAS studied by the CODALEMA experiment have been detected by means of the classic short fat antennas array working in a slave trigger mode by a particle scintillator array. It is shown that the radio shower wavefront is curved with respect to the plane wavefront hypothesis. Then a new tting model (parabolic model) is proposed to fit the radio signal time delay distributions in an event-by-event basis. This model take
into account this wavefront property and several shower geometry parameters such as: the existence of an apparent localised radio-emission source located at a distance Rc from the antenna array of and the radio shower core on the
ground. Comparison of the outputs from this model and other reconstruction models used in the same experiment show:
1)- That the radio shower core is shifted from the particle shower core in a statistic analysis approach.
2)- The capability of the radiodetection method to reconstruct the curvature radius with a statistical error less than 50 g.cm−2 .
Finally a preliminary study of the primary particle nature has been performed based on a comparison between data and Xmax distribution from Aires Monte-Carlo simulations for the same set of events.
Climate model parameterizations of cumulus convection and other clouds that form due to small-scale turbulent eddies are a leading source of uncertainty in predicting the sensitivity of global warming to greenhouse gas increases. Even though we can write down equations governing the physics of cloud formation and fluid motion, these cloud-forming eddies are not resolved by the grid of a climate model, so the subgrid covariability of cloud processes and turbulence must be parameterized. Many approaches are used, all involving numerous subjective assumptions. Even when optimized to match present-day climate, these approaches produce a broad range of predictions about how clouds will change in a future climate.
High resolution models which explicitly simulate the clouds and turbulence on a very fine computational grid more realistically simulate cloud formation compared to observations. But it has proved challenging to translate this skill into better climate model parameterizations.
We will present one naturally stochastic approach for this using a computationally expensive approach called ‘superparameterization’ and then we will lay out a vision for how machine learning could be used to do this translation, which amounts to a form of stochastic coarse-graining. Developing the statistical and computational methods to realize this vision is a good challenge for this SAMSI year.
The pearled solar eclipse of 1912.04.17 occurred 60 hours after the TITANIC disaster had cast its shadow upon this exciting event. The data collected during this most elusive eclipse are compared to those generated by Xavier JUBIER's 5MCSE, the most up-to date ergonomical solar eclipse simulation freeware, which allows the choice of the DeltaT parameter, as well as the exact GPS Coordinates of the observation site such as the balloon Globule at 900 meter over Rethondes.
This problem represents an interesting opportunity for scientists and statisticians to collaborate since the problem is too big for either community. The science is not well established, although fairly sophisticated ice flow models exist. They are even becoming relevant to explain some of the complexity seen in observational data. At the same time, the complex phenomena we see in observations may not be particularly relevant to assessing the risks of significant increases in sea level rise over the near future. The talk will review what we have learned about this problem through the PISCEES SciDAC project. This problem is rich with challenges and opportunities, particularly for realigning how our two communities engage each other. The talk will review the computational, scientific, and mathematical "reality checks" that might stop any reasonable person from considering this topic further. I then will point out how each of these challenges could be mitigated if these different perspectives were better integrated.
Over a seven-day period in August 2017 Hurricane Harvey brought extreme levels of rainfall to the Houston area, resulting in catastrophic flooding that caused loss of human life and damage to personal property and public infrastructure. In the wake of this event, there is growing interest in understanding the degree to which this event was unusual and estimating the probability of experiencing a similar event in other locations. Additionally, we investigate the degree to which the sea surface temperature in the Gulf of Mexico is associated with extreme precipitation in the US Gulf Coast. This talk addresses these issues through the development of an extreme value model.
We assume that the annual maximum precipitation values at Gulf Coast locations approximately follow the Generalized Extreme Value (GEV) distribution. Because the observed precipitation record in this region is relatively short, we borrow strength across spatial locations to improve GEV parameter estimates. We model the GEV parameters at US Gulf Coast locations using a multivariate spatial hierarchical model based on coregionalization; for inference, a two-stage approach is utilized. Spatial interpolation is used to estimate GEV parameters at unobserved locations, allowing us to characterize precipitation extremes throughout the region. Nearby locations may experience extreme precipitation from the same event, resulting in dependence between annual maxima that previous spatial models of this sort have ignored. Our model incorporates dependence of this type and uses the nonparametric bootstrap to estimate its effect.
ASTUDYOF TSUNAMIMODEL FOR PROPAGATION OF OCEANICWAVESDr.E.Syed Mohamed
This paper tries to study this phenomenon that shows a considerable amount of uncertainty. To
model the spread of tsunami waves, the initial wave can be considered as a continuous two dimensional
closed curve. Each point in its parametric representation on the curve will act as a point source which
expands as a small ellipse. The parameters of each ellipse depend on many factors such as the energy
focusing effect, travel path of the waves,
From Weather Dwarfs to Kilometre-Scale Earth System Simulationsinside-BigData.com
In this deck from PASC18, Nils P. Wedi from ECMWF presents: From Weather Dwarfs to Kilometre-Scale Earth System Simulations.
"The increasingly large amounts of data being produced b weather and climate simulations and earth system observations is sometimes characterised as a deluge. This deluge of data is both a challenge and an opportunity. The main opportunities are to make use of this wealth of data to 1) improve knowledge by extracting additional knowledge from the data and 2) to improve the quality of the models themselves by analysing the accuracy, or lack thereof, of the resultant simulation data. An example of the former case is improved prediction of large scale phenomena such as El Nino. An example of the latter is the improvement of a Physics parameterisation scheme through detailed analysis of the errors in a large number of datasets.
"One way to realize these opportunities is to use machine learning approaches. As machine learning in weather and climate is a relatively new topic this minisymposium introduces the audience to how machine learning could be used in weather and climate and outlines its implications in terms of computing costs. To ground the ideas in concrete examples it also illustrates the use of machine learning in the weather and climate domain with practical examples."
Watch the video: https://wp.me/p3RLHQ-iPB
Learn more: https://pasc18.pasc-conference.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
2013 ASPRS Track, Developing an ArcGIS Toolbox for Estimating EvapoTranspirat...GIS in the Rockies
Estimating water used by vegetated areas is very important for water resources management and water rights. Traditionally the amount of water delivered to an area is calculated by installing some measuring device (flumes, weirs, flow meters, etc.). The alternative approach presented here estimates the actual water use in a vegetated areas based on ground surface energy balance concept using the ReSET model (Remote Sensing of ET – ReSET developed by IDS group in Colorado state university) that uses satellite and Arial imagery with visible and thermal bands along with weather data to estimate daily actual crop Evapotranspiration (ET) for vegetated areas. Surface energy balance models have been proven to be a robust approach for estimating vegetation evapotranspiration. One of the main limitations of wider application of these models in water resources and irrigation management is the requirement of extensive back ground in surface energy modeling. This presentation shows the development and the application of an ArcGIS toolbox that runs an automated version of the ReSET model. The tool is compatible with NASA/USGS Landsat Legacy Project. The presented ArcGIS tool automates the model in all stages and requires minimum interference from user. The tool presented accommodates both basic and advanced users. The results using the tool were tested and validated using results from manual ReSET model runs.
Estimation of Solar Radiation over Ibadan from Routine Meteorological Parameterstheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Towards the identification of the primary particle nature by the radiodetecti...Ahmed Ammar Rebai PhD
Radio signal from extensive air showers EAS studied by the CODALEMA experiment have been detected by means of the classic short fat antennas array working in a slave trigger mode by a particle scintillator array. It is shown that the radio shower wavefront is curved with respect to the plane wavefront hypothesis. Then a new tting model (parabolic model) is proposed to fit the radio signal time delay distributions in an event-by-event basis. This model take
into account this wavefront property and several shower geometry parameters such as: the existence of an apparent localised radio-emission source located at a distance Rc from the antenna array of and the radio shower core on the
ground. Comparison of the outputs from this model and other reconstruction models used in the same experiment show:
1)- That the radio shower core is shifted from the particle shower core in a statistic analysis approach.
2)- The capability of the radiodetection method to reconstruct the curvature radius with a statistical error less than 50 g.cm−2 .
Finally a preliminary study of the primary particle nature has been performed based on a comparison between data and Xmax distribution from Aires Monte-Carlo simulations for the same set of events.
Ill-posedness formulation of the emission source localization in the radio- d...Ahmed Ammar Rebai PhD
To contact the authors : tarek.salhi@gmail.com and ahmed.rebai2@gmail.com
In the field of radio detection in astroparticle physics, many studies have shown the strong dependence of the solution of the radio-transient sources localization problem (the radio-shower time of arrival on antennas) such solutions are purely numerical artifacts. Based on a detailed analysis of some already published results of radio-detection experiments like : CODALEMA 3 in France, AERA in Argentina and TREND in China, we demonstrate the ill-posed character of this problem in the sens of Hadamard. Two approaches have been used as the existence of solutions degeneration and the bad conditioning of the mathematical formulation problem. A comparison between experimental results and simulations have been made, to highlight the mathematical studies. Many properties of the non-linear least square function are discussed such as the configuration of the set of solutions and the bias.
Towards the identification of the primary particle nature by the radiodetecti...Ahmed Ammar Rebai PhD
To contact the author use ahmed.rebai2@gmail.com
Radio signal from extensive air showers EAS studied by the CODALEMA experiment have been detected by means of the classic short fat antennas array working in a slave trigger mode by a particle scintillator array. It is shown that the radio shower wavefront is curved with respect to the plane wavefront hypothesis. Then a new fitting model (parabolic model) is proposed to fit the radio signal time delay distributions in an event-by-event basis. This model take into account this wavefront property and several shower geometry parameters such as: the existence of an apparent localised radio-emission source located at a distance Rc from the antenna array of and the
radio shower core on the ground. Comparison of the outputs from this model and other reconstruction models used in the same experiment show: 1)- That the radio shower core is shifted from the particle shower core in a statistic analysis approach. 2)- The capability of the radiodetection method to reconstruct the curvature radius
with a statistical error less than 50 g.cm−2 . Finally a preliminary study of the primary particle nature has been performed based on a comparison between data and Xmax distribution from Aires Monte-Carlo simulations for the same set of events.
Calibrating a CFD canopy model with the EC1 vertical profiles of mean wind sp...Stephane Meteodyn
For some projects, applying the basic rules of EC1 is not sufficient, and it is required to get a more accurate estimation of the wind speed on the construction site. This can be done by using computational fluid dynamics codes which have the advantage, both to take into account of the terrain inhomogeneity and to calculate 3D orographic effects. In this way, the orography and roughness effects are coupled as they are in the real world. However, applying CFD computations must be in coherence with EC1 code. Then it is necessary to calibrate the ground friction for low roughness terrains as well as the drag force and turbulence production in case of high roughness lengths due to the presence of a canopy (forests or built areas). That is the condition for such methods to be commonly used and agreed by Building Control Officers. In this mind, TopoWind has been developed especially for wind design applications and can be a very useful, practical and objective tool for wind design engineers. The canopy model implemented in TopoWind has been calibrated in order to get the mean wind and turbulence profiles as defined in the EC1 for standard terrains. In this way, TopoWind computations satisfy the continuity between the EC1 values for homogeneous terrains and the more complex cases involving inhomogeneous roughness or orographic effects
A New Temperature-Based Model for Estimating Global Solar Radiation in Port-...theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Theoretical work submitted to the Journal should be original in its motivation or modeling structure. Empirical analysis should be based on a theoretical framework and should be capable of replication. It is expected that all materials required for replication (including computer programs and data sets) should be available upon request to the authors.
The International Journal of Engineering & Science would take much care in making your article published without much delay with your kind cooperation.
IOSR Journal of Applied Physics (IOSR-JAP) is an open access international journal that provides rapid publication (within a month) of articles in all areas of physics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in applied physics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Within the framework of the general theory of relativity (GR) the modeling of the central symmetrical
gravitational field is considered. The mapping of the geodesic motion of the Lemetr and Tolman basis on
their motion in the Minkowski space on the world lines is determined. The expression for the field intensity
and energy where these bases move is obtained. The advantage coordinate system is found, the coordinates
and the time of the system coincide with the Galilean coordinates and the time in the Minkowski space.
Design and performance evaluation of a solar tracking panel of single axis in...IJECEIAES
This paper presents the mechanical design of a single axis solar tracking system, as well as the electronic design of a system that to record in real time the electric power delivered by the solar tracker and to evaluate its performance. The interface was developed in Labview and it compares the power supplied by the tracker with the power supplied by static solar panel of the same characteristics. The performance is initially simulated using Pv-Syst software, and later validated with the data obtained by the interface. As a result, the use of the solar tracker increases the power delivered by a minimum of 19%, and it can go as high as 47.84%, with an average in increase in power of 19.5% in the monthly energy production. This experimental result was compared with the simulation by Pv-Syst software and shows a difference of only 2.5%, thus validating the reliability of the simulation. This behavior pattern coincides with previous studies carried out for equatorial latitudes.
Mapping Gradex values on the Tensift basin (Morocco)IJERA Editor
The aim of this study is to elaborate the cartography of Gradex parameter used in the Gradex method for estimating flood peaks in order to size hydraulic structures. Map of spatial variation is elaborated using the geostatistical method of kriging. Several reference functions (exponential model, spherical, linear, Gaussian and cubic) were used for modeling the kriging variogram. Cross-validation enabled a comparison between the results of these models and choice of spherical model with anisotropy and trend fit by a second-order polynomial as the most suitable. The use of available series of annual maximum daily rainfall recorded at 23 rainfall stations, distributed over the Tensift basin, led also to develop the cartography of standard prediction errors‟ values associated to the predicted parameter for each point of Tensift basin. These errors vary from acceptable values (16.8%) to very high ones depending on the density of the rainfall stations at the desired site.
Hottel's Clear Day Model for a typical arid city - Jeddahinventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Cars are a very important part of this modern world because they give luxury and comfort. Even
though they are comfortable, some problems always keep arising on the safety side. After a lot of research they
rectified certain problems using air bags, auto parking, turbo charger, pedal shift…, etc.
And now we are going to discuss about one such problem that arises on the safety side. An unsuspected
accident occurs when people smash their fingers in between the car doors. Due to this kind of accident around
120,000 people are injured every year. But this was not taken as a very major safety concern for the customer.
To avoid this kind accident due to car doors, we are introducing “SAFETY DOOR LOCK SYSTEM”
with the help of “HYDRAULIC PISTON AND IR SENSORS”.
The major working process of the “SAFETY DOOR LOCK SYSTEM”is, when a person places his/her
hand or fingers in the gap between the door and the outer panel, at the time when the closing action of the door
takes place, the Sensors start to transmit the Infra Red Rays to the Receivers at the
other end, and so even if someone closes the door without anybody‟s knowledge the hydraulic piston will
automatically come out and stop the door from closing and prevent the person from the unsuspected accident
and minor injuries by the car door and ensure maximum safety to the customer.
Extrusion can be defined as the process of subjecting a material to compression so that it is forced to
flow through an opening of a die and takes the shape of the hole. Multi-hole extrusion is the process of
extruding the products through a die having more than one hole. Multi-hole extrusion increases the production
rate and reduces the cost of production. In this study the ram force has calculated experimentally for single hole
and multi-hole extrusion. The comparison of ram forces between the single hole and multi-hole extrusion
provides the inverse relation between the numbers of holes in a die and ram force. The experimental lengths of
the extruded products through the various holes of multi-hole die are different. It indicates that the flow pattern
is dependent on the material behavior. The micro-hardness test has done for the extruded products of lead
through multi-hole die. It is observed that the hardness of the extruded lead products from the central hole is
found to be more than that of the products extruded from other holes. The study suggests that multi-hole
extrusion can be used for obtaining the extruded products of lead with varying hardness. The micro-structure
study has done for the lead material before and after extrusion. It is observed that the size of grains of lead
material after extrusion is smaller than the original lead.
Analysis of Agile and Multi-Agent Based Process Scheduling Modelirjes
As an answer of long growing frustration of waterfall Software development life cycle concepts,
agile software development concept was evolved in 90’s. The most popular agile methodologies is the Extreme
Programming (XP). Most software companies nowadays aim to produce efficient, flexible and valuable
Software in short time period with minimal costs, and within unstable, changing environments. This complex
problem can be modeled as a multi-agent based system, where agents negotiate resources. Agents can be used to
represent projects and resources. Crucial for the multi-agent based system in project scheduling model, is the
availability of an effective algorithm for prioritizing and scheduling of task. To evaluate the models, simulations
were carried out with real life and several generated data sets. The developed model (Multi-agent based System)
provides an optimized and flexible agile process scheduling and reduces overheads in the software process as it
responds quickly to changing requirements without excessive work in project scheduling.
Effects of Cutting Tool Parameters on Surface Roughnessirjes
This paper presents of the influence on surface roughness of Co28Cr6Mo medical alloy machined
on a CNC lathe based on cutting parameters (rotational speed, feed rate, depth of cut and nose radius).The
influences of cutting parameters have been presented in graphical form for understanding. To achieve the
minimum surface roughness, the optimum values obtained for rpm, feed rate, depth of cut and nose radius were
respectively, 318 rpm, 0,1 mm/rev, 0,7 mm and 0,8 mm. Maximum surface roughness has been revealed the
values obtained for rpm, feed rate, depth of cut and nose radius were respectively, 318 rpm, 0,25 mm/rev, 0,9
mm and 0,4 mm.
Possible limits of accuracy in measurement of fundamental physical constantsirjes
The measurement uncertainties of Fundamental Physical Constants should take into account all
possible and most influencing factors. One from them is the finiteness of the model that causes the existence of
a-priori error. The proposed formula for calculation of this error provides a comparison of its value with the
actual experimental measurement error that cannot be done an arbitrarily small. According to the suggested
approach, the error of the researched Fundamental Physical Constant, measured in conventional field studies,
will always be higher than the error caused by the finite number of dimensional recorded variables of physicalmathematical
models. Examples of practical application of the considered concept for measurement of fine
structure constant, speed of light and Newtonian constant of gravitation are discussed.
Performance Comparison of Energy Detection Based Spectrum Sensing for Cogniti...irjes
With the rapid deployment of new wireless devices and applications, the last decade has witnessed a growing
demand for wireless radio spectrum. However, the policy of fixed spectrum assignment produces a bottleneck for more
efficient spectrum utilization, such that a great portion of the licensed spectrum is severely under-utilized. So the concept of
cognitive radio was introduced to address this issue.The inefficient usage of the limited spectrum necessitates the
development of dynamic spectrum access techniques, where users who have no spectrum licenses, also known as secondary
users, are allowed to use the temporarily unused licensed spectrum. For this purpose we have to know the presence or
absence of primary users for spectrum usage. So spectrums sensing is one of the major requirements of cognitive radio.Many
spectrum sensing techniques have been developed to sense the presence or absence of a licensed user. This paper evaluates
the performance of the energy detection based spectrum sensing technique in noisy and fading environments.The
performance of the energy detection technique will be evaluated by use of Receiver Operating Characteristics (ROC) curves
over additive white Gaussian noise (AWGN) and fading channels.
Comparative Study of Pre-Engineered and Conventional Steel Frames for Differe...irjes
In this paper, the conventional steel frames having triangular Pratt truss as a roofing system of 60 m
length, span 30m and varying bay spacing 4m, 5m and 6m respectively having eaves level for all the portals is at
10m and the EOT crane is supported at the height of 8m from ground level and pre-engineered steel frames of
same dimensions are analyzed and designed for wind zones (wind zone 2, wind zone 3, wind zone 4 and wind
zone 5) by using STAAD Pro V8i. The study deals with the comparative study of both conventional and preengineered
with respect to the amount of structural steel required, reduction in dead load of the structure.
Flip bifurcation and chaos control in discrete-time Prey-predator model irjes
The dynamics of discrete-time prey-predator model are investigated. The result indicates that the
model undergo a flip bifurcation which found by using center manifold theorem and bifurcation theory.
Numerical simulation not only illustrate our results, but also exhibit the complex dynamic behavior, such as the
periodic doubling in period-2, -4 -8, quasi- periodic orbits and chaotic set. Finally, the feedback control method
is used to stabilize chaotic orbits at an unstable interior point.
Energy Awareness and the Role of “Critical Mass” In Smart Citiesirjes
A Smart City could be depicted as a place, logical and physical, in which a crowd of heterogeneous
entities is related in time and space through different types of interactions. Any type of entity, whether it is a
device or a person, clustered in communities, becomes a source of context-based data.
Energy awareness is able to drive the process of bringing our society to limit energy waste and to optimize
usage of available resources, causing a strong environmental and social impact. Then, following social network
analysis methodologies related to the dynamics of complex systems, it is possible to find out, emergent and
sometimes hidden new habits of electricity usage. Through an initial Critical Mass, involving a multitude of
consumers, each related to more contexts, we evaluate the triggering and spreading of a collective attitude. To
this aim, in this paper, we propose a novel analytical model defining a new concept of critical mass, which
includes centrality measures both in a single layer and in a multilayer social network.
A Firefly Algorithm for Optimizing Spur Gear Parameters Under Non-Lubricated ...irjes
Firefly algorithm is one of the emerging evolutionary approaches for complex and non-linear
optimization problems. It is inspired by natural firefly‟s behavior such as movement of fireflies based on
brightness and by overcoming the constraints such as light absorption, obstacles, distance, etc. In this research,
firefly‟s movement had been simulated computationally to identify the best parameters for spur gear pair by
considering the design and manufacturing constraints. The proposed algorithm was tested with the traditional
design parameters and found the results are at par in less computational time by satisfying the constraints.
The Effect of Orientation of Vortex Generators on Aerodynamic Drag Reduction ...irjes
One of the main reasons for the aerodynamic drag in automotive vehicles is the flow separation
near the vehicle’s rear end. To delay this flow separation, vortex generators are used in recent vehicles. The
vortex generators are commonly used in aircrafts to prevent flow separation. Even though vortex generators
themselves create drag, but they also reduce drag by delaying flow separation at downstream. The overall effect
of vortex generators is more beneficial and proved by experimentation. The effect depends on the shape,size and
orientation of vortex generators. Hence optimized shape with proper orientation is essential for getting better
results.This paper presents the effect of vortex generators at different orientation to the flow field and the
mechanism by which these effects takes place.
An Assessment of The Relationship Between The Availability of Financial Resou...irjes
The availability of financial resources is an important element in impacting the success of a planning
process for an effective physical planning. The extent to which however, they are articulated in the process
remained elusive both in scholarly and public discourse. The objective of this study wastherefore, to examine
the extent to which financial resources affect physical planning. In doing so, the study examinedwhether
financial resources were adequate or not to facilitate planning processes in Paidha. According to the study
findings,budget prioritization and ceilings are still a challenge in Paidha Town Council. This is partly due
limited level of knowledge of physical planning among the officials of Paidha Town Council. As a result, there
were no dedicated budget line for routine inspection of physical development plan compliance and enforcement
tools in Paidha. In conclusion, in addressing uncoordinated patterns of physical development that characterize
Uganda‟s urban centres, a critical starting point ought to be the analysis of physical planning process. The
research of this kind is not only significant to other emerging urban centres facing poor a road network,
mushrooming informal settlements and poor social services including poor pattern of residential and commercial
developments but also to all institutions that are involved in planning these towns. Knowing the extent of need
for financial influences in planning may assist local authorities to take the processes of planning seriously which
will help enhance the sustainable development of emerging urban centres including Paidha.
The Choice of Antenatal Care and Delivery Place in Surabaya (Based on Prefere...irjes
- Person's desire to do a pregnancy examination is determined by the service place that suits the tastes
and facilities owned by it. Until now, the utilization of antenatal care by pregnant women is still low (Mardiana,
2014). The purpose of the study is to analyze factors affecting the utilization of antenatal care and delivery place
in Surabaya city based on the preferences and choice theory.
Type of survey research is cross sectional approach, the population is mothers who have children aged 1-
12 months in Surabaya. The large sample of 250 mothers who have children aged 1-12 months in 2013 is taken
by simple random sampling technique. Variables of the research are the preference elements and steps, choice
elements and steps, utilization of antenatal care and delivery place. Data were collected through questionnaires
and secondary data were then analyzed with descriptive statistics in the form of a frequency distribution, shown
by the schematic diagram.
The result showed that the preference elements and steps showed almost half (42.9%) desire to give birth
in a health care because of information got from someone else, while the choice element and step shows the
bulk (57.1%) of the criteria of delivery place chosen is a safe, comfortable and cheap delivery place, the labor
place which is the main choice most (57.1%) is cheap, comfortable, close.
Conclusion of the research based on the preferences and choice theory can be found three (3) new
theories, they are preferences become choice, preferences do not become choice, choice is preceded by
preferences
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Vaccine management system project report documentation..pdf
Prediction of the daily global solar irradiance received on a horizontal surface -New approach
1. International Refereed Journal of Engineering and Science (IRJES)
ISSN (Online) 2319-183X, (Print) 2319-1821
Volume 4, Issue 6 (June 2015), PP.85-93
www.irjes.com 85 | Page
Prediction of the daily global solar irradiance received on a
horizontal surface -New approach
M.K. El-Adawi 1,*
, S.A. Shalaby1
, S.E.-S.Abd El-Ghany2
, F.E.Salman2
and M.A.Attallah2
1
Physics Department –Faculty of Education, Ain Shams University, Heliopolis, Cairo, Egypt:
2
Physics Department –Faculty of Science, Benha University, Benha, Egypt
Abstract:- A general distribution function q (t) W/m2
for clear days is suggested to predict the global solar
irradiance incident on a horizontal surface as a function of the local day time and the maximum daily
value of the incident solar irradiance qmax. Moreover, the authors suggested a form to express qmaxin terms of
the solar constant. The value of the solar constant is also adjusted to its variation with the distance between earth
and the sun.
This is done to get a complete theoretical expression for q (t) rather than semi- empirical formulae introduced in
previous trials. Comparison between the computed values according to the introduced theoretical formula of
q (t) and the corresponding published experimental data recorded in Barcelona(Spain) , Hong Kong (China),
Cairo(Egypt), Makkah ,Jeddah(Saudi Arabia) is made.Good fitting is obtained except for few extreme points.
Keywords:- Prediction of solar irradiance, Daily global solar radiation, Solar distribution function for clear
days, Computation on theoretical basis of qmax..
I. INTRODUCTION
The prediction of the global solar radiation incident on a horizontal surface is important in solar
energy exploitation. For example, the performance of a solar cell is a function of the received incident solar
irradiance( defined as : the radiant energy received by unit area of a surface normal to the pencil of solar rays
per unit time W/m2
) . Several attempts have been made to predict the daily values of the global solar
irradiance q(t) W/m2
, where '' t '' is the local day time in with different degrees of fitting accuracy . (El-
Adawiet.al.,1986) introduced a power expression in terms of │t-tr│ with parameters tr(sunrise), td (the length of
the solar day), ts (sunset). . Good fitting was obtained between experimental and corresponding calculated values
with maximum error ≈11%. In such a trial the authors suggested an expression to estimate the value of qmaxin
terms of a solar constant. (Shalaby, 1994) expressed q(t) as a polynomial in │t-t0│with a certain correction
factor F(t) and parameters tr,ts,t0,td . Where t0=(ts-tr)/2=td/2. Computations revealed that the relative error did not
exceed 16%. (El- Adawiet.al.andNuaim, 2001)introduced an expression of q(t) as a polynomial in( t/td ) with a
correction factor sin(π t/td )with maximum error 15% . (El- Adawiet.al. ,2002)expressed q(t) as a polynomial in(
t/td ) with a correction factor in terms of t0,td. Maximum relative error 12 % was obtained. The evaluation of the
qmax in terms of the solar constant is also suggested in(El- Adawi, 2002). Noticing that the suggestion to estimate
the value of qmax in terms of the solar constant in the previous trials was not tested through any concrete
computations. While semi-empirical formulae are introduced in which qmax is taken as an experimental input.
The present trial represents an approach to the problem of evaluation of the average global solar
irradiance incident on a horizontal surface .The suggested formula is an exponential function in time. The aim of
the trial is to get better fitting with the experimental data. Moreover, qmax in terms of the solar constant is
estimated theoretically in order to have a closed system.
II. THE SUGGESTED MODEL
The experimental measurements for the considered distribution q(t) ,W/m2
for clear sky(El-Adawi et
al.,1986; Shalaby , 1994; Quraishee, 1969 ; Munroe, 1980 ; Tiwari, 1997 ; Leung, 1980 ; Villarrubia et al.
1980; El-Bar, 1983; EL-Gendi, 1983; Katsoulis and Parachistopoulos, 1978; Khogali and Ramadan, 1982;
Harty et al.,1999; Cooper, 1969)show a symmetrical distribution that passes through a maximum value qmax at
the midday time '' t0=td/2 ''between sunrise '' tr'' and sunset '' ts'' in hours .In the present trial ,the distribution
function q(t) ,W/m2
for the hourly daily global irradiance received on a horizontal surface is such that, it satisfies
the following conditions :
at t= tr q(tr)=0 (1)
at t= ts q(ts)=0 (2)
2. Prediction of the daily global solar irradiance received on a horizontal surface -New approach
www.irjes.com 86 | Page
at t= t0 q(t0)=qmax. (3)
att= t0 0
|
)(
0
tt
t
tq (4)
The suggested distribution is in the form:
q(t)= qmax
)t-(t)(
)t-(t
r
2
0
tts
e
(5)
This form satisfies the above mentioned conditions( equations 1-4).
The length of the solar day is given as (Duffieeand Beckman 1974; Cooper, 1969):
td=
15
12
tantancos 1
(6)
where:
Latitude , is the angle made by the radial line joining the given location to the center of the earth with its
projection on the equatorial plane.
The solar declination angle , is the angle between the line joining the centers of the sun and the earth and its
projection on the equatorial plane , is given as:
=23.45
365
n284
360sin
(7)
(1≤n≤365) starting from 1 January.
Where n is the day of the year.
Following (El-Adawi et al., 1986; El-Adawi, 2002; Wieder, 1982; Kondratyev, 1969 )we can suggest the
estimation of qmax in terms of the solar constant to be in the form:
qmax= s (8)
where:
sis the extraterrestrial solar constant adjusted for the variation of the distance between the sun and the earth
and along the time of the year, given as (Tiwari, 1997)
s =
365
n360
cos0.033+1s (9)
Where:
s=1353(Rai, 1989) is the solar constant .
α=
𝛶+−𝛶−
1+𝐺 𝛶++𝐴−𝐵𝑅
𝑒 𝛶− 𝜏
0 (10)
2
1
2
]4)[(
2
1
)(
2
1
BDACAC
(11)
A=
0
0
2
2
(12)
B= 0 (13)
C= 02 (14)
D=
0
0
2
(15)
0 =
s
where
s
and are the optical thickness due to scattering and total optical thickness (scattering
and absorption) .
G=-[
𝛶−+𝐴−𝐵𝑅
𝛶++𝐴−𝐵𝑅
]𝑒(𝛶−−𝛶+)𝜏
(16)
R is the reflectivity of the underlying terrain ,
0 = Zcos (17)
3. Prediction of the daily global solar irradiance received on a horizontal surface -New approach
www.irjes.com 87 | Page
LDZ (18)
Z is the solar zenith angle and D is the solar codeclinations which is the complementary angle of the
declination, L is the observer colatitudes which is the complementary angle of the latitude.
III. COMPUTATION
In the following qmax is computed according to equation (8) for Jeddah and Makkah only because the
day of the year is available to the authors for these two cities .Computations are made at R=0.4 (Hrens ,
2006), ω0=0.5 (El-Adawiet al.,1986).Moreover,td =18.5hr for Jeddah and td =18.66 hr for Makkah. The obtained
c-omputed values are as follows :
qmax(Jeddah)=856.8W/m2
, while the experimental value is 915 W/m2
with relative error 6% ,and
qmax(Makkah)=878W/m2
,while the experimental value is 938 W/m2
with relative error 6%.
These two values of qmax that are computed theoretically are inserted in equation (5) to fit the corresponding
published experimental data for Jeddahand Makkah. The obtained results are illustrated in figures (1) and(2)
respectively. We considered the published experimental values of qmax for Hong Kong ,Barcelona and Egypt in
fitting process to compute the corresponding q(t) for such cities, since the day number is not available for the
authors. The computed values of q(t) are compared with the corresponding experimental values. The obtained
results for Hong Kong, Barcelona and Egypt are illustrated graphically in Figures(3-11).
As a measure to the degree of fitting , the percentage relative error defined as
cal
cal
q
qq exp
is computed for
each point for the corresponding curve .
IV. RESULTS AND DISCUSSION
The comparison between the published experimental data and the corresponding calculated values
obtained using eq.(5) are illustrated graphically in Figures(1-11).The results show that, bad fitting is obtained
usually at the extreme points of the distribution near sunrise and sunset hours where the level of solar isolation is
not effective for practical exploitation of solar energy .
This situation is attributed to the fact, that the model is oriented to clear sky. While several parameters
affect such distribution function such as sunshine hours ,the declination angle, the latitude ,the altitude ,the
relative humidity (Quraishee, 1969; lin and Jordan, 1960; Sharma and Pal , 1965).It is also a function of such
variables as the nature and the extent of cloud cover , the aerosol and water vapor content of the atmosphere
(Munroe, 1980) .As a result some experimental points give large relative error such as the point indicated in
figure (4) with relative error 81%.Other than the extreme points the obtained relative errors are within 16% .This
indicates that the suggested formula to calculate the daily hourly solar irradiance is acceptable.
V. CONCLUSIONS
The comparison between the predicted global solar radiation q (t) W/m2
incident on a horizontal
surface and the corresponding experimental data shows in general satisfactorily agreement for points other than
the extreme points(~16%). The advantages of the introduced model is that q(t) is given in terms of well
established parameters such as the length of the solar day td and t0=td/2 for symmetrical distribution. Moreover
qmaxcan be estimated in terms of the solar constant adjusted for the variation of the distance between the sun and
the earth along the time of the year .This means that the trial represents a closed theoretical system to evaluate
the incident daily global solar radiation.
REFERENCE
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4. Prediction of the daily global solar irradiance received on a horizontal surface -New approach
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(General Organization for Housing , Building and planning Research Center , Dokki , Cairo ,
Egypt).
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Environment Science, King Abdul Aziz University , Jeddah, Saudi Arabia.
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Department ,Faculty of Applied Science and engineering ,UMM Al QURA university ,Saudi Arabia.
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Energy.17,291-309.
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9,183-192.
Global solar radiation intensity (W/m2
) received on a horizontal surface in Jeddah on (9/4/1982) located at 40̊
25` E, 41̊ 23 `N (El-Bar, 1983)
Fig.1.Experimental and calculated data for Jeddah April
(The maximum relative error equals to 12%)
0
200
400
600
800
1000
0 2 4 6 8 10 12 14
GlobelSolarIrradiance(W/m2)
Shifted time(=t-tr),h
Jeddah April
qexp qcal
5. Prediction of the daily global solar irradiance received on a horizontal surface -New approach
www.irjes.com 89 | Page
Global solar radiation intensity (W/m2
) received on a horizontal surface
In Makkah on (9/4/1982) April located at 38.5 °E, 21.5°N (EL-Gendi, 1983)
Fig.2. Experimental and calculated data for Makkah, April
(The maximum relative error equals to 10%)
Global solar radiation intensity (W/m2
) received on a horizontal surface in Hong Kong on December (1979)
located at 114̊ 10`E, 22̊ 19` N (Leung, 1980)
Fig.3. Experimental and calculated data for Hong Kong, December
(The maximum relative error equals to 9%)
0
200
400
600
800
1000
0 2 4 6 8 10 12 14
GlobelSolarIrradiance(W/m2)
time,h
Makkah
q exp qcal
0
200
400
600
800
1000
0 2 4 6 8 10 12
GlobelSolarIrradiance(W/m2)
Shifted time(=t-tr),h
Hong Kong December
qexp qcal
6. Prediction of the daily global solar irradiance received on a horizontal surface -New approach
www.irjes.com 90 | Page
Global solar radiation intensity (W/m2
) received on a horizontal surface in Hong Kong on November (1979)
located at 114̊ 10`E, 22̊ 19` N (Leung, 1980)
Fig. 4.Experimental and calculated data for Hong Kong, November
(The maximum relative error equals to 28%)
Global solar radiation intensity (W/m2
) received on a horizontal surface in Hong Kong on January (1979)
located at 114̊ 10`E, 22̊ 19` N (Leung, 1980)
Fig.5.Experimental and calculated data for Hong Kong, January
(The maximum relative error equals to 28%)
0
200
400
600
800
1000
0 2 4 6 8 10 12
GlobelSolarIrradiance(W/m2)
Shifted time(=t-tr),h
Hong Kong november
qexp qcal
0
200
400
600
800
1000
0 2 4 6 8 10 12 14
GlobelSolarIrradiance(W/m2)
Shifted time(=t-tr),h
Hong Kong January
qexp qcal
7. Prediction of the daily global solar irradiance received on a horizontal surface -New approach
www.irjes.com 91 | Page
Global solar radiation intensity (W/m2
) received on a horizontal surface in Hong Kong on April (1979) located
at114° 10 `E, 22° 19`N (Leung, 1980)
Fig.6.Experimental and calculated data for Hong Kong, April
(The maximum relative error equals to 35%)
Global solar radiation intensity (W/m2
) received on a horizontal surface in Barcelona on December (1973-1975)
located at 2° 7` E, 41̊ 23` N (Villarrubia et al., 1980)
Fig. 7.Experimental and calculated data for Barcelona, December
(The maximum relative error equals to 21%)
0
200
400
600
800
1000
0 2 4 6 8 10 12 14 16
GlobelSolarIrradiance(W/m2)
Shifted time(=t-tr),h
Hong Kong April
qexp qcal
0
200
400
600
800
1000
0 2 4 6 8 10 12
GlobelSolarIrradiance(W/m2)
Shifted time(=t-tr),h
Barcelona Decmber
qexp qcal
8. Prediction of the daily global solar irradiance received on a horizontal surface -New approach
www.irjes.com 92 | Page
Global solar radiation intensity (W/m2
) received on a horizontal surface in Egypt
(Cairo) on July (1980) located at 23̊ 58` N (Cairo, 1980)
Fig.8.Experimental and calculated data for Egypt, July
(The maximum relative error equals to 11%)
Global solar radiation intensity (W/m2
) received on a horizontal surface in Egypt(Cairo) onMarch (1980) located
at 23̊ 58` N (Cairo- Al-Ahram, 1980)
Fig. 9. Experimental and calculated data for Egypt, March
(The maximum relative error equals to 20%)
0
200
400
600
800
1000
1200
0 2 4 6 8 10 12 14 16
GlobalSolarIrradiance(W/m2)
Shifted time(=t-tr),h
Egypt july
qexp qcal
0
200
400
600
800
1000
0 2 4 6 8 10 12 14
GlobelSolarIrradiance(W/m2)
Shifted time(=t-tr),h
Egypt March
qcal qexp
9. Prediction of the daily global solar irradiance received on a horizontal surface -New approach
www.irjes.com 93 | Page
Global solar radiation intensity (W/m2
) received on a horizontal surface in Egypt (Cairo) on June (1980) located
at 23̊ 58` N (Cairo- Al-Ahram, 1980)
Fig. 10. Experimental and calculated data for Egypt, June
(The maximum relative error equals to 12%)
Global solar radiation intensity (W/m2
) received on a horizontal surface in Egypt (Cairo) on September (1980)
located at 23̊ 58` N (Cairo- Al-Ahram, 1980)
Fig. 11. Experimental and calculated data for Egypt, September
(The maximum relative error equals to 11%)
0
200
400
600
800
1000
1200
0 2 4 6 8 10 12 14
GlobelSolarIrradiance(W/m2)
Shifted time(=t-tr),h
Egypt june
qexp qcal
0
200
400
600
800
1000
0 2 4 6 8 10 12 14
GlobelSolarIrradiance(W/m2)
Shifted time(=t-tr),h
Egypt September
qcal qexp