Geometric modeling and optimization in 3D solar cells : implementation and algorithms
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/92087 |
| _version_ | 1826212040802304000 |
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| author | Wan, Jin Hao, M. Eng. Massachusetts Institute of Technology |
| author2 | Jeffrey C. Grossman. |
| author_facet | Jeffrey C. Grossman. Wan, Jin Hao, M. Eng. Massachusetts Institute of Technology |
| author_sort | Wan, Jin Hao, M. Eng. Massachusetts Institute of Technology |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. |
| first_indexed | 2024-09-23T15:15:31Z |
| format | Thesis |
| id | mit-1721.1/92087 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:15:31Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/920872019-04-12T14:41:43Z Geometric modeling and optimization in 3D solar cells : implementation and algorithms Wan, Jin Hao, M. Eng. Massachusetts Institute of Technology Jeffrey C. Grossman. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (page 63). Conversion of solar energy in three-dimensional (3D) devices has been essentially untapped. In this thesis, I design and implement a C++ program that models and optimizes a 3D solar cell ensemble embedded in a given landscape. The goal is to find the optimum arrangement of these solar cells with respect to the landscape buildings so as to maximize the total energy collected. On the modeling side, in order to calculate the energies generated from both direct and reflected sunlight, I store all the geometric inputs in a binary space partition tree; this data structure in turn efficiently supports a crucial polygon clipping algorithm. On the optimization side, I deploy simulated annealing (SA). Both advantages and limitation of SA lead me to restrict the solar cell docking sites to orthogonal grids imposed on the building surfaces. The resulting program is an elegant trade-off between accuracy and efficiency. by Jin Hao Wan. M. Eng. 2014-12-08T18:47:58Z 2014-12-08T18:47:58Z 2014 2014 Thesis http://hdl.handle.net/1721.1/92087 895668745 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 63 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Wan, Jin Hao, M. Eng. Massachusetts Institute of Technology Geometric modeling and optimization in 3D solar cells : implementation and algorithms |
| title | Geometric modeling and optimization in 3D solar cells : implementation and algorithms |
| title_full | Geometric modeling and optimization in 3D solar cells : implementation and algorithms |
| title_fullStr | Geometric modeling and optimization in 3D solar cells : implementation and algorithms |
| title_full_unstemmed | Geometric modeling and optimization in 3D solar cells : implementation and algorithms |
| title_short | Geometric modeling and optimization in 3D solar cells : implementation and algorithms |
| title_sort | geometric modeling and optimization in 3d solar cells implementation and algorithms |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/92087 |
| work_keys_str_mv | AT wanjinhaomengmassachusettsinstituteoftechnology geometricmodelingandoptimizationin3dsolarcellsimplementationandalgorithms |