Diverging polygon-based modeling (DPBM) of concentrated solar flux distributions
This paper presents an efficient and robust methodology for modeling concentrated solar flux distributions. Compared to ray tracing methods, which provide high accuracy but can be computationally intensive, this approach makes a number of simplifying assumptions in order to reduce complexity by mode...
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| Format: | Article |
| Language: | en_US |
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Elsevier
2017
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| Online Access: | http://hdl.handle.net/1721.1/112643 https://orcid.org/0000-0001-8917-7547 https://orcid.org/0000-0001-7151-7355 https://orcid.org/0000-0002-2145-0890 https://orcid.org/0000-0002-3968-8530 |
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| author | Loomis III, Robert James Weinstein, Lee Adragon Boriskina, Svetlana V Huang, Xiaopeng Chiloyan, Vazrik Chen, Gang |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Loomis III, Robert James Weinstein, Lee Adragon Boriskina, Svetlana V Huang, Xiaopeng Chiloyan, Vazrik Chen, Gang |
| author_sort | Loomis III, Robert James |
| collection | MIT |
| description | This paper presents an efficient and robust methodology for modeling concentrated solar flux distributions. Compared to ray tracing methods, which provide high accuracy but can be computationally intensive, this approach makes a number of simplifying assumptions in order to reduce complexity by modeling incident and reflected flux as a series of simple geometric diverging polygons, then applying shading and blocking effects. A reduction in processing time (as compared to ray tracing) allows for evaluating and visualizing numerous combinations of engineering and operational variables (easily exceeding 106 unique iterations) to ascertain instantaneous, transient, and annual system performance. The method is demonstrated on a linear Fresnel reflector array and a number of variable iteration examples presented. While some precision is sacrificed for computational speed, flux distributions were compared to ray tracing (SolTrace) and average concentration ratio generally found to agree within ∼3%. This method presents a quick and very flexible coarse adjust method for concentrated solar power (CSP) field design, and can be used to both rapidly gain an understanding of system performance as well as to narrow variable constraint windows for follow-on high accuracy system optimization. |
| first_indexed | 2024-09-23T16:47:26Z |
| format | Article |
| id | mit-1721.1/112643 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:47:26Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1126432022-10-03T08:18:47Z Diverging polygon-based modeling (DPBM) of concentrated solar flux distributions Loomis III, Robert James Weinstein, Lee Adragon Boriskina, Svetlana V Huang, Xiaopeng Chiloyan, Vazrik Chen, Gang Massachusetts Institute of Technology. Department of Mechanical Engineering Chen, Gang Loomis III, Robert James Weinstein, Lee Adragon Boriskina, Svetlana V Huang, Xiaopeng Chiloyan, Vazrik Chen, Gang This paper presents an efficient and robust methodology for modeling concentrated solar flux distributions. Compared to ray tracing methods, which provide high accuracy but can be computationally intensive, this approach makes a number of simplifying assumptions in order to reduce complexity by modeling incident and reflected flux as a series of simple geometric diverging polygons, then applying shading and blocking effects. A reduction in processing time (as compared to ray tracing) allows for evaluating and visualizing numerous combinations of engineering and operational variables (easily exceeding 106 unique iterations) to ascertain instantaneous, transient, and annual system performance. The method is demonstrated on a linear Fresnel reflector array and a number of variable iteration examples presented. While some precision is sacrificed for computational speed, flux distributions were compared to ray tracing (SolTrace) and average concentration ratio generally found to agree within ∼3%. This method presents a quick and very flexible coarse adjust method for concentrated solar power (CSP) field design, and can be used to both rapidly gain an understanding of system performance as well as to narrow variable constraint windows for follow-on high accuracy system optimization. United States. Defense Advanced Research Projects Agency (Award DE-AR0000471) 2017-12-08T14:01:54Z 2017-12-08T14:01:54Z 2015-09 2015-08 Article http://purl.org/eprint/type/JournalArticle 0038-092X http://hdl.handle.net/1721.1/112643 Loomis, James et al. “Diverging Polygon-Based Modeling (DPBM) of Concentrated Solar Flux Distributions.” Solar Energy 122 (December 2015): 24–35 © 2015 Elsevier Ltd https://orcid.org/0000-0001-8917-7547 https://orcid.org/0000-0001-7151-7355 https://orcid.org/0000-0002-2145-0890 https://orcid.org/0000-0002-3968-8530 en_US http://dx.doi.org/10.1016/j.solener.2015.08.023 Solar Energy Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier Prof. Cheng via Angie Locknar |
| spellingShingle | Loomis III, Robert James Weinstein, Lee Adragon Boriskina, Svetlana V Huang, Xiaopeng Chiloyan, Vazrik Chen, Gang Diverging polygon-based modeling (DPBM) of concentrated solar flux distributions |
| title | Diverging polygon-based modeling (DPBM) of concentrated solar flux distributions |
| title_full | Diverging polygon-based modeling (DPBM) of concentrated solar flux distributions |
| title_fullStr | Diverging polygon-based modeling (DPBM) of concentrated solar flux distributions |
| title_full_unstemmed | Diverging polygon-based modeling (DPBM) of concentrated solar flux distributions |
| title_short | Diverging polygon-based modeling (DPBM) of concentrated solar flux distributions |
| title_sort | diverging polygon based modeling dpbm of concentrated solar flux distributions |
| url | http://hdl.handle.net/1721.1/112643 https://orcid.org/0000-0001-8917-7547 https://orcid.org/0000-0001-7151-7355 https://orcid.org/0000-0002-2145-0890 https://orcid.org/0000-0002-3968-8530 |
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