Effect of receiver geometry on the optical and thermal performance of a parabolic trough collector

Mustafa J. Al‐Dulaimi; Karima E. Amori

doi:10.1002/htj.22406

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Publication Date

Tue Jan 18 2022

Journal Name

Heat Transfer

Volume

51

DOI

10.1002/htj.22406

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Effect of receiver geometry on the optical and thermal performance of a parabolic trough collector

channel receiver

optical efficiency

parabolic trough collector

rays distribution

receiver geometry

thermal efficiency

uniformity factor

Mustafa J. Al‐Dulaimi

Karima E. Amori

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Abstract<p>In this study, the optical and thermal performance of a Parabolic Trough Collector PTC system is investigated theoretically. A series of numerical simulations and theoretical analysis has been conducted to investigate the effect of the receiver geometry and location relative to the focal line on its optical performance. The examined receiver geometries are circular, square, triangular, elliptical and a new design of circular‐ square named as channel receiver. The thermal performance of PTC is studied for different flow rates from (0.27 to 0.6 lpm) theoretically. Results showed that the best optical design is the channel receiver with an optical efficiency of 84% while the worst is the elliptical receiver with an optical efficiency of 70%. Thermally the best design is the elliptical receiver with a thermal efficiency of 85% while the worst is the circular receiver with a thermal efficiency of 82%.</p>

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Publication Date

Fri Feb 01 2019

Journal Name

Al-dhad - Book Store And Publishing

Multivariate Analysis (First Edition)

matrix algebra

Linear Equation System

Characteristic root

Eigen value

vectors

Partitioned Matrices

Jacobian Matrix

Hessian matrix

Multivariate Normal Distribution

Omar Abdulmohsen

Asmaa Ghalib

Nabila

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This Book is intended to be textbook studied for undergraduate course in multivariate analysis. This book is designed to be used in semester system. In order to achieve the goals of the book, it is divided into the following chapters. Chapter One introduces matrix algebra. Chapter Two devotes to Linear Equation System Solution with quadratic forms, Characteristic roots & vectors. Chapter Three discusses Partitioned Matrices and how to get Inverse, Jacobi and Hessian matrices. Chapter Four deals with Multivariate Normal Distribution (MVN). Chapter Five concern with Joint, Marginal and Conditional Normal Distribution, independency and correlations. Many solved examples are intended in this book, in addition to a variety of unsolved relied pro

Publication Date

Fri Jan 01 2021

Journal Name

Journal Of Economics And Administrative Sciences

Predicting Social Security Fund compensation in Iraq using ARMAX Model

/ Akaike Standard (AIC) –Prediction Error Standard(FPE) - Bayesian Akaike Standard (BIC) - Ordinnary least square Method (OLS) - recursive least square Method( RLS) - Kalman Filter – Forgetting factor - Prediction

Zaid Khalil

Firas Ahmmed

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Time series have gained great importance and have been applied in a manner in the economic, financial, health and social fields and used in the analysis through studying the changes and forecasting the future of the phenomenon. One of the most important models of the black box is the "ARMAX" model, which is a mixed model consisting of self-regression with moving averages with external inputs. It consists of several stages, namely determining the rank of the model and the process of estimating the parameters of the model and then the prediction process to know the amount of compensation granted to workers in the future in order to fulfil the future obligations of the Fund. , And using the regular least squares method and the frequ

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Publication Date

Sun Oct 02 2022

Journal Name

Al-manhaj

Mathematical Statistics - Second Edition

Mathematical Expectation

Moment Generating Function

Cumulative Distribution Function

Probability Mass Function

Probability Density Function

Discrete Distributions

Continuous Distributions

Joint distributions

Marginal Distributions

Conditional Distributions

Transformations

Order Statistics.

Omar Abdulmohsin

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This Book is the second edition that intended to be textbook studied for undergraduate/ postgraduate course in mathematical statistics. In order to achieve the goals of the book, it is divided into the following chapters. Chapter One introduces events and probability review. Chapter Two devotes to random variables in their two types: discrete and continuous with definitions of probability mass function, probability density function and cumulative distribution function as well. Chapter Three discusses mathematical expectation with its special types such as: moments, moment generating function and other related topics. Chapter Four deals with some special discrete distributions: (Discrete Uniform, Bernoulli, Binomial, Poisson, Geometric, Neg

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Publication Date

Sun Jun 01 2014

Journal Name

Journal Of Economics And Administrative Sciences

Different Methods for Estimating Location Parameter & Scale Parameter for Extreme Value Distribution

Extreme Value Distribution

Maximum likelihood estimator

Method of moment Estimators

Estimators based on Percentiles

Least Squares estimators

Weighted Least Squares estimators

Ridge regression estimators

Adjusted Ridge regression estimators.

جنان عباس

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In this study, different methods were used for estimating location parameter and scale parameter for extreme value distribution, such as maximum likelihood estimation (MLE) , method of moment estimation (ME),and approximation estimators based on percentiles which is called white method in estimation, as the extreme value distribution is one of exponential distributions. Least squares estimation (OLS) was used, weighted least squares estimation (WLS), ridge regression estimation (Rig), and adjusted ridge regression estimation (ARig) were used. Two parameters for expected value to the percentile as estimation for distribution f

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Publication Date

Mon Jun 05 2023

Journal Name

Journal Of Economics And Administrative Sciences

Fuzzy Bridge Regression Model Estimating via Simulation

Fuzzy linear regression

Fuzzy least squares method

Fuzzy Bridge regression

multicollinearity

triangular fuzzy numbers

Variance Inflation Factor.

الانحدار الخطي الضبابي

طريقة المربعات الصغرى الضبابية

انحدار الجسر الضبابي

التعدد الخطي

الأرقام الضبابية المثلثية

عامل تضخم التباين.

Rawya

Mohammed

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The main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin

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(2)

Publication Date

Mon Jan 01 2024

Journal Name

Anais Da Academia Brasileira De Ciências

Morphological study for Accipitrid birds (Accipitridforms, Accipitridae) in Iraq; part two

A part two of Accipitridae Family members that belong to three genera: Circus

Gyps

and Neophron were documented as morphometrics

distribution ranges

and conservation status were reviewed and comprehensively discussed. A total of 29 voucher specimens belong to six species which are conserved in the “Iraq Natural History Research Center and Museum INHM” as follow: Marsh Harrier Circus aeruginosus (Linnaeus

1758)

Hen Harrier Circus cyaneus (Linnaeus

1766)

Montagus Harrier Circus pygargus (Linnaeus

1758)

Pallid Harrier Circus macrourus (Gmelin

1770)

Egyptian vulture Neophron percnopterus (Linnaeus

1758)

and Griffon vulture Gyps fulfus (Hablitz

1783). The results revealed significant criteria about near threatened NT species IUCN and Birdlife International listed as Pallid Harrier Circus macrourus

and Endangered (EN) species as Egyptian vulture Neophron percnopterus globally decreasing population trend.

HIND D.

KHALIDA I.

AFKAR M.

SUHAD Y.

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