Techno-economic optimization of a scaled-up solar concentrator combined with CSPonD thermal energy storage
A molten salt direct absorption receiver, CSPonD, used to simultaneously collect and store thermal energy is being tested by Masdar Institute and MIT in Abu Dhabi, UAE. Whilst a research-scale prototype has been combined with a beam-down tower in Abu Dhabi, the original design coupled the receiver w...
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| Format: | Article |
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AIP Publishing
2019
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| Online Access: | http://hdl.handle.net/1721.1/120521 https://orcid.org/0000-0002-5048-4109 |
| _version_ | 1811096235571937280 |
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| author | Musi, Richard Grange, Benjamin Diago, Miguel Topel, Monika Armstrong, Peter Calvet, Nicolas Slocum, Alexander H |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Musi, Richard Grange, Benjamin Diago, Miguel Topel, Monika Armstrong, Peter Calvet, Nicolas Slocum, Alexander H |
| author_sort | Musi, Richard |
| collection | MIT |
| description | A molten salt direct absorption receiver, CSPonD, used to simultaneously collect and store thermal energy is being tested by Masdar Institute and MIT in Abu Dhabi, UAE. Whilst a research-scale prototype has been combined with a beam-down tower in Abu Dhabi, the original design coupled the receiver with a hillside heliostat field. With respect to a conventional power-tower setup, a hillside solar field presents the advantages of eliminating tower costs, heat tracing equipment, and high-pressure pumps. This analysis considers the industrial viability of the CSPonD concept by modeling
a 10 MWe up-scaled version of a molten salt direct absorption receiver combined with a hillside heliostat field. Five different slope angles are initially simulated to determine the optimum choice using a combination of lowest LCOE and highest IRR, and sensitivity analyses are carried out based on thermal energy storage duration, power output, and feed-in tariff price. Finally, multi-objective optimization is undertaken to determine a Pareto front representing optimum cases. The study indicates that a 40° slope and a combination of 14 h thermal energy storage with a 40-50 MW[subscript e] power output provide the best techno-economic results. By selecting one simulated result and using a feed-in tariff of 0.25 $/kWh, a competitive IRR of 15.01 % can be achieved. |
| first_indexed | 2024-09-23T16:40:44Z |
| format | Article |
| id | mit-1721.1/120521 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:40:44Z |
| publishDate | 2019 |
| publisher | AIP Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1205212022-10-03T07:34:26Z Techno-economic optimization of a scaled-up solar concentrator combined with CSPonD thermal energy storage Musi, Richard Grange, Benjamin Diago, Miguel Topel, Monika Armstrong, Peter Calvet, Nicolas Slocum, Alexander H Massachusetts Institute of Technology. Department of Mechanical Engineering Slocum, Alexander H A molten salt direct absorption receiver, CSPonD, used to simultaneously collect and store thermal energy is being tested by Masdar Institute and MIT in Abu Dhabi, UAE. Whilst a research-scale prototype has been combined with a beam-down tower in Abu Dhabi, the original design coupled the receiver with a hillside heliostat field. With respect to a conventional power-tower setup, a hillside solar field presents the advantages of eliminating tower costs, heat tracing equipment, and high-pressure pumps. This analysis considers the industrial viability of the CSPonD concept by modeling a 10 MWe up-scaled version of a molten salt direct absorption receiver combined with a hillside heliostat field. Five different slope angles are initially simulated to determine the optimum choice using a combination of lowest LCOE and highest IRR, and sensitivity analyses are carried out based on thermal energy storage duration, power output, and feed-in tariff price. Finally, multi-objective optimization is undertaken to determine a Pareto front representing optimum cases. The study indicates that a 40° slope and a combination of 14 h thermal energy storage with a 40-50 MW[subscript e] power output provide the best techno-economic results. By selecting one simulated result and using a feed-in tariff of 0.25 $/kWh, a competitive IRR of 15.01 % can be achieved. 2019-02-21T18:19:24Z 2019-02-21T18:19:24Z 2017-06 2019-01-02T19:04:58Z Article http://purl.org/eprint/type/JournalArticle 0094-243X 1551-7616 http://hdl.handle.net/1721.1/120521 Musi, Richard, et al. "Techno-Economic Optimization of a Scaled-up Solar Concentrator Combined with CSPonD Thermal Energy Storage." AIP Conference Proceedings,1850.1 (2017): p. 110010. https://orcid.org/0000-0002-5048-4109 http://dx.doi.org/10.1063/1.4984484 AIP Conference Proceedings Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf AIP Publishing Other repository |
| spellingShingle | Musi, Richard Grange, Benjamin Diago, Miguel Topel, Monika Armstrong, Peter Calvet, Nicolas Slocum, Alexander H Techno-economic optimization of a scaled-up solar concentrator combined with CSPonD thermal energy storage |
| title | Techno-economic optimization of a scaled-up solar concentrator combined with CSPonD thermal energy storage |
| title_full | Techno-economic optimization of a scaled-up solar concentrator combined with CSPonD thermal energy storage |
| title_fullStr | Techno-economic optimization of a scaled-up solar concentrator combined with CSPonD thermal energy storage |
| title_full_unstemmed | Techno-economic optimization of a scaled-up solar concentrator combined with CSPonD thermal energy storage |
| title_short | Techno-economic optimization of a scaled-up solar concentrator combined with CSPonD thermal energy storage |
| title_sort | techno economic optimization of a scaled up solar concentrator combined with cspond thermal energy storage |
| url | http://hdl.handle.net/1721.1/120521 https://orcid.org/0000-0002-5048-4109 |
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