Determination of thermal emission spectra maximizing thermophotovoltaic performance using a genetic algorithm. (15th January 2016)
- Record Type:
- Journal Article
- Title:
- Determination of thermal emission spectra maximizing thermophotovoltaic performance using a genetic algorithm. (15th January 2016)
- Main Title:
- Determination of thermal emission spectra maximizing thermophotovoltaic performance using a genetic algorithm
- Authors:
- DeSutter, John
Bernardi, Michael P.
Francoeur, Mathieu - Abstract:
- Highlights: Thermophotovoltaic conversion efficiency and output power density are maximized. Optimal radiator emission spectra are obtained using a genetic algorithm. Radiative, electrical and thermal losses in the cell are taken into account. TPV performances with optimal emission spectra largely exceed those with blackbody and tungsten radiators. Abstract: Optimal radiator thermal emission spectra maximizing thermophotovoltaic (TPV) conversion efficiency and output power density are determined when thermal effects in the cell are considered. For this purpose, a framework is designed in which a TPV model that accounts for radiative, electrical and thermal losses is coupled with a genetic algorithm. The TPV device under study involves a spectrally selective radiator at a temperature of 2000 K, a gallium antimonide cell, and a cell thermal management system characterized by a fluid temperature and a heat transfer coefficient of 293 K and 600 Wm −2 K −1 . It is shown that a maximum conversion efficiency of 38.8% is achievable with an emission spectrum that has emissivity of unity between 0.719 eV and 0.763 eV and zero elsewhere. This optimal spectrum is less than half of the width of the spectra obtained when thermal losses in the cell are neglected. A maximum output power density of 41, 708 Wm −2 is achievable with a radiator spectrum having emissivity values of unity between 0.684 eV and 1.082 eV and zero elsewhere when thermal losses are accounted for. These emissionHighlights: Thermophotovoltaic conversion efficiency and output power density are maximized. Optimal radiator emission spectra are obtained using a genetic algorithm. Radiative, electrical and thermal losses in the cell are taken into account. TPV performances with optimal emission spectra largely exceed those with blackbody and tungsten radiators. Abstract: Optimal radiator thermal emission spectra maximizing thermophotovoltaic (TPV) conversion efficiency and output power density are determined when thermal effects in the cell are considered. For this purpose, a framework is designed in which a TPV model that accounts for radiative, electrical and thermal losses is coupled with a genetic algorithm. The TPV device under study involves a spectrally selective radiator at a temperature of 2000 K, a gallium antimonide cell, and a cell thermal management system characterized by a fluid temperature and a heat transfer coefficient of 293 K and 600 Wm −2 K −1 . It is shown that a maximum conversion efficiency of 38.8% is achievable with an emission spectrum that has emissivity of unity between 0.719 eV and 0.763 eV and zero elsewhere. This optimal spectrum is less than half of the width of the spectra obtained when thermal losses in the cell are neglected. A maximum output power density of 41, 708 Wm −2 is achievable with a radiator spectrum having emissivity values of unity between 0.684 eV and 1.082 eV and zero elsewhere when thermal losses are accounted for. These emission spectra are shown to greatly outperform blackbody and tungsten radiators, and could be obtained using artificial structures such as metamaterials or photonic crystals. … (more)
- Is Part Of:
- Energy conversion and management. Volume 108(2016)
- Journal:
- Energy conversion and management
- Issue:
- Volume 108(2016)
- Issue Display:
- Volume 108, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 108
- Issue:
- 2016
- Issue Sort Value:
- 2016-0108-2016-0000
- Page Start:
- 429
- Page End:
- 438
- Publication Date:
- 2016-01-15
- Subjects:
- Thermophotovoltaic power generation -- Optimal emission spectrum -- Thermal impacts -- Genetic algorithm
Direct energy conversion -- Periodicals
Energy storage -- Periodicals
Energy transfer -- Periodicals
Énergie -- Conversion directe -- Périodiques
Direct energy conversion
Periodicals
621.3105 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01968904 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.enconman.2015.11.029 ↗
- Languages:
- English
- ISSNs:
- 0196-8904
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.547000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 282.xml