The maximum deviation of model-predicted transmissivity (from experimental results) was less than 0.03% which is insignificant. I am now encountering a problem where the chart display is limited to 48NM and higher. I have C-Map Puget sound to Cracroft Island and Caamano Sound to Chatham sound charts installed. I have a L760+ Fishfinder and a RL70C+ Pathfinder in a Raymarine suite vintage 2002.
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Standard errors incurred in predicting transmissivity for each value of the solar collector exposure time & latitude angle considered as obtained from experiment, derived model & regression model were 0.0003, 0.0002 & 2.1422 x 10 -5 % and 0.0001, 0.0005 & 2.8396 x10 -5 % respectively. Garmin GPS Navigator with Digital TV Quick Start Manual. Evaluations from generated results indicated that transmissivity per unit exposure time of collector and latitude angle of its location as obtained from experiment, derived model & regression model were 1.0545 x 10 -5, 1.0545 x 10 -5 & 1.0909 x 10 -5 (day) -1 and 0.0040, 0.0040 & 0.0042 deg.
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The results of this verification translated into very close alignment of curves and significantly similar trend of data point’s distribution for experimental (ExD), derived model (MoD) and regression model-predicted (ReG) results.
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Regression model was used to generate results of transmissivty, and its trend of distribution was compared with that from derived model as a way of verifying its validity relative to experimental results. The validity of the derived model was rooted on the core model expression ζ - 0.9081 = - 0.0021θ - 5 x 10 -6 ϑ where both sides of the expression are correspondingly approximately equal. The model structure highlighted the dependency of solar energy transmissivity on the collector exposure time and latitude angle of its location. A two-factorial model was derived and validated for the predictive analysis. Email: paper presents a factorial analysis of energy transmissivity by solar collector based on the collector exposure time and latitude angle of its location. Nwoye, Department of Metallurgical and Materials Engineering, Nnamdi Azikiwe University, Awka, Nigeria. American Journal of Computing Research Repository. A Computational Mechanism for Analysis of the Functional Dependence of Solar Energy Transmissivity on Collector’s Latitude Angle and Exposure Time. 1, 9-13 DOI: 10.12691/ajcrr-3-1-3 Copyright © 2015 Science and Education Publishing Cite this paper: C. Nwosu 5ġDepartment of Metallurgical and Materials Engineering, Nnamdi Azikiwe University, Awka, NigeriaĢDepartment of Metallurgical and Materials Engineering, Enugu State University of Science & Technology, Enugu, NigeriaĤDepartment of Industrial and Production Engineering, Nnamdi Azikiwe University, Awka, NigeriaĥDepartment of Environmental Technology, Federal University of Technology, Owerri, Nigeria American Journal of Computing Research Repository.
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