The Experts below are selected from a list of 267 Experts worldwide ranked by ideXlab platform
K A Fathalah - One of the best experts on this subject based on the ideXlab platform.
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solar flux Density Distribution using a separation of variables superposition technique
Renewable Energy, 1994Co-Authors: Moustafa M. Elsayed, K A FathalahAbstract:A separation of variables/superposition technique is used to determine the flux Density Distribution Γ on the receiver plane of a central receiver system. This Distribution is determined in terms of the flux Density Distribution F on the image plane. The Distribution F is found in terms of the algebraic sum of several flux Distribution functions. Each of these functions Fi is determined in terms of a basic dimensionless flux Density function φ, transferred to have its origin of coordinates at one corner of the principal image of the heliostat. Using a special coordinate system, φ is found to depend only on the angle θ∗ between the sides of the principal image of the heliostat, for a given Sun shape and error function. Calculations of θ∗ and the lengths of the sides of the principal image are performed for a wide range of parameters, which include solar zenith and azimuth angles, radial distance of heliostat and its position azimuth angle, tower height, concentration and dimensions of the heliostat. For a given effective Sun shape, the basic dimensionless flux Density Distribution φ is calculated for several values of θ∗. This Distribution is stored in a computer and used in an illustrative example to determine the flux Density Distribution on a receiver plane.
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Solar flux Density Distribution using a separation of variables/superposition technique
Renewable Energy, 1994Co-Authors: Moustafa M. Elsayed, K A FathalahAbstract:A separation of variables/superposition technique is used to determine the flux Density Distribution Γ on the receiver plane of a central receiver system. This Distribution is determined in terms of the flux Density Distribution F on the image plane. The Distribution F is found in terms of the algebraic sum of several flux Distribution functions. Each of these functions Fi is determined in terms of a basic dimensionless flux Density function φ, transferred to have its origin of coordinates at one corner of the principal image of the heliostat. Using a special coordinate system, φ is found to depend only on the angle θ∗ between the sides of the principal image of the heliostat, for a given Sun shape and error function. Calculations of θ∗ and the lengths of the sides of the principal image are performed for a wide range of parameters, which include solar zenith and azimuth angles, radial distance of heliostat and its position azimuth angle, tower height, concentration and dimensions of the heliostat. For a given effective Sun shape, the basic dimensionless flux Density Distribution φ is calculated for several values of θ∗. This Distribution is stored in a computer and used in an illustrative example to determine the flux Density Distribution on a receiver plane.
Moustafa M. Elsayed - One of the best experts on this subject based on the ideXlab platform.
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solar flux Density Distribution using a separation of variables superposition technique
Renewable Energy, 1994Co-Authors: Moustafa M. Elsayed, K A FathalahAbstract:A separation of variables/superposition technique is used to determine the flux Density Distribution Γ on the receiver plane of a central receiver system. This Distribution is determined in terms of the flux Density Distribution F on the image plane. The Distribution F is found in terms of the algebraic sum of several flux Distribution functions. Each of these functions Fi is determined in terms of a basic dimensionless flux Density function φ, transferred to have its origin of coordinates at one corner of the principal image of the heliostat. Using a special coordinate system, φ is found to depend only on the angle θ∗ between the sides of the principal image of the heliostat, for a given Sun shape and error function. Calculations of θ∗ and the lengths of the sides of the principal image are performed for a wide range of parameters, which include solar zenith and azimuth angles, radial distance of heliostat and its position azimuth angle, tower height, concentration and dimensions of the heliostat. For a given effective Sun shape, the basic dimensionless flux Density Distribution φ is calculated for several values of θ∗. This Distribution is stored in a computer and used in an illustrative example to determine the flux Density Distribution on a receiver plane.
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Solar flux Density Distribution using a separation of variables/superposition technique
Renewable Energy, 1994Co-Authors: Moustafa M. Elsayed, K A FathalahAbstract:A separation of variables/superposition technique is used to determine the flux Density Distribution Γ on the receiver plane of a central receiver system. This Distribution is determined in terms of the flux Density Distribution F on the image plane. The Distribution F is found in terms of the algebraic sum of several flux Distribution functions. Each of these functions Fi is determined in terms of a basic dimensionless flux Density function φ, transferred to have its origin of coordinates at one corner of the principal image of the heliostat. Using a special coordinate system, φ is found to depend only on the angle θ∗ between the sides of the principal image of the heliostat, for a given Sun shape and error function. Calculations of θ∗ and the lengths of the sides of the principal image are performed for a wide range of parameters, which include solar zenith and azimuth angles, radial distance of heliostat and its position azimuth angle, tower height, concentration and dimensions of the heliostat. For a given effective Sun shape, the basic dimensionless flux Density Distribution φ is calculated for several values of θ∗. This Distribution is stored in a computer and used in an illustrative example to determine the flux Density Distribution on a receiver plane.
Santiago Alvarez - One of the best experts on this subject based on the ideXlab platform.
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Spin Density Distribution in transition metal complexes
Coordination Chemistry Reviews, 2005Co-Authors: Eliseo Ruiz, Jordi Cirera, Santiago AlvarezAbstract:The computational approaches that can be used to calculate the spin Density Distribution in transition metal compounds are discussed, the characteristic trends involving spin delocalization and spin polarization mechanisms are summarized, and the characteristic shapes of the spin Density Distributions around a transition metal atom are presented. Reference is also made to experimental methods to determine spin Density Distributions and to incipient work in the field of high spin molecules and single-molecule magnets.
Massimo Morbidelli - One of the best experts on this subject based on the ideXlab platform.
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Radial Density Distribution of fractal clusters
Chemical Engineering Science, 2004Co-Authors: Marco Lattuada, Massimo MorbidelliAbstract:Abstract The radial Density Distributions of fractal clusters generated in both DLCA and RLCA conditions by Monte-Carlo off-lattice cluster–cluster aggregation have been investigated. It has been computed by averaging a large number of clusters of same mass to form an average cluster, which is then considered as spherically symmetric. It is found that the radial Density Distribution, calculated using the mass center of the cluster as the center point, does not follow the fractal scaling, as sometimes assumed in the literature. An empirical model has been proposed to describe the dependence of the radial Density Distribution on the number of particles in the cluster. The obtained radial Density Distribution is used to compute permeability profile of the fractal cluster using several literature models, which is then applied to estimate the cluster hydrodynamic radius, R h , by considering the cluster as a porous permeable object and using the solution of Brinkman equations for the fluid flow inside the cluster. The so obtained R h values are compared to those in the literature, computed using the Kirkwood–Riseman (KR) theory. It has been found that, among the five permeability models examined, only the model proposed by Davis (Proceedings of the Institution of Mechanical Engineers Part B 1, 185) provides results in good agreement with those obtained using the KR model. Furthermore, it has been verified that the R h values are insensitive to the model used for the Density Distribution.
Eliseo Ruiz - One of the best experts on this subject based on the ideXlab platform.
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Spin Density Distribution in transition metal complexes
Coordination Chemistry Reviews, 2005Co-Authors: Eliseo Ruiz, Jordi Cirera, Santiago AlvarezAbstract:The computational approaches that can be used to calculate the spin Density Distribution in transition metal compounds are discussed, the characteristic trends involving spin delocalization and spin polarization mechanisms are summarized, and the characteristic shapes of the spin Density Distributions around a transition metal atom are presented. Reference is also made to experimental methods to determine spin Density Distributions and to incipient work in the field of high spin molecules and single-molecule magnets.
