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Item Information   Holdings       More by this author     McMillen, Adam M.     Subjects     Photovoltaic cells     Photovoltaic power systems -- Mathematical models.     Architecture and energy conservation     MSE Project.     Browse Catalog     by author:      McMillen, Adam M.       by title:      Optimizing the perfo...         MARC Display

Optimizing the performance of a photovoltaic array by evaluating site-specific parameters / Adam M. McMillen. by McMillen, Adam M. Subjects Photovoltaic cells   Photovoltaic power systems -- Mathematical models.   Architecture and energy conservation   MSE Project. Description:  132 leaves : ill. ; 29 cm. Contents:  Thesis advisor: Dr. Glenn T. Wrate. Committee members: Dr. Christopher Damm, Dr. Carol Diggelman. Introduction and background -- Review of literature -- Methodology, principles, and technological framework -- Results and discussion -- Conclusions and ideas for future research -- Appendix A: Sensitivity analysis comparing Sandia and NREL temperature models -- B: TMY sample data set -- C: Solar position data sample from NREL -- D: MATLAB program code -- E: Campus-wide mini-symposium presentation -- F: Permission for images used in the report. This project optimizes solar electric potential across a flat, commercial rooftop at the Milwaukee School of Engineering. Because the university is located in an urban, downtown setting among several tall buildings, it provides a unique challenge for properly siting the photovoltaic modules. Variations in shading, temperature, and wind velocity provide opportunities for and threats to power generation. By integrating a two-dimensional mesh across the surface of the rooftop, each element can be assigned an annual power potential based on these environmental conditions. A MATLAB program was written to define building profiles, increment sun position, and fit power data based on heat transfer and module V-I curves for each hour of a typical meteorological year. The one square meter mesh defined in this project produced a power potential gradient of about 10 percent across the surface. Fitting this gradient to the available space provides detailed information regarding power gains or losses for small adjustments in cell location.   Copy/Holding information Location Collection Call No. Status   Walter Schroeder Library Master's Theses AC805 .M386 2007 Available Add Copy to MyList Format: HTMLPlain textDelimited Subject:   Email to:

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