Systems for managing thermal energy within a thermal storage solution
US-2024318923-A1 · Sep 26, 2024 · US
US2019288636A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2019288636-A1 |
| Application number | US-201815923909-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 16, 2018 |
| Priority date | Mar 16, 2018 |
| Publication date | Sep 19, 2019 |
| Grant date | — |
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Tailoring the emission spectra of a solar thermophotovoltaic emitter away from that of a blackbody, thereby minimizing transmission and thermalization loss in the energy receiver, is a viable approach to circumventing the Shockley-Queisser limit to single junction solar energy conversion. Embodiments allow for radically tuned selective thermal emission that leverages the interplay between two resonant phenomena in a simple planar structure—absorption in weakly-absorbing thin films and reflection in multi-layer dielectric stacks. A virtual screening approach is employed based on Pareto optimality to identify a small number of promising structures for a selective thermal emitter from a search space of millions, several of which approach the ideal values of a step-function selective thermal emitter
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What is claimed is: 1 . A method of identifying thermophotovoltaic structures comprising: determining parameters P i in a parameter space P for candidate emitter structures; for each parameter P i , solve transfer matrix equations for the emissivity spectrum of each candidate emitter structure; for each parameter P i compute thermal emission spectrum of each candidate emitter structure; computing figures of merit for each candidate emitter structure; identifying whether a parameter P i is Pareto optimal and, if so, add to a Pareto Front; and displaying a Pareto front for the parameter space P for the candidate emitter structures. 2 . The method of claim 1 , wherein the figures of merit are spectral conversion efficiency (η s ) and useful power(P). 3 . The method of claim 2 , wherein prior to identifying if a parameter is Pareto optimal, determining absorption spectrum for an alloy layer of the candidate emitter structure. 4 . The method of claim 3 , wherein prior to identifying if a parameter is Pareto optimal, determining stored energy spectrum of a Bragg reflector of the candidate emitter structure. 5 . The method of claim 4 , wherein the parameters are selected from the group consisting of Bragg reflector dielectric layer thicknesses, Bragg reflector refractive indices, Bragg reflector number of such pair layers, Λ BR , and the alloy layer composition, operating temperature, bandgap of an associated photovoltaic. 6 . The method of claim 4 , wherein the candidate emitter comprises a refractory metal, the Bragg reflector and the alloy layer. 7 . The method of claim 6 , wherein the refractory metal is tungsten and the alloy layer is W—Al 2 O 3 alloy. 8 . A computer implemented system for identifying photonic crystals comprising a processor; and a tangible computer-readable medium operatively connected to the processor and including computer code configured to: determine emissivity for candidate emitter structures; select an absorber to pair with the candidate structures; determine spectral conversion efficiency (η s ) and useful power(P) as figures of merit; perform a Pareto optimization using the figures of merit; and determine the degree of critical coupling of at least a portion of the structures and the selected absorber. 9 . The computer implemented system of claim 8 , further comprise computer code configured to: select an operating temperature for the photovoltaic. 10 . A photonic system comprising: an absorber in thermal contact with an emitter; the emitter paired with a photovoltaic cell, the emitter configured to have a controllable temperature, the emitter having a first substrate, a Bragg reflector, and an optically tunable layer where the optically tunable layer and the Bragg reflector are critically coupled; further wherein the emitter generates useful power (P) by P = ∫ 0 λ bg λ λ bg ρ ( λ , T ) ϵ ( λ ) d λ where p(λ, T) is the blackbody spectral density and ϵ(λ) is the emissivity spectrum of the emitter and further wherein pair emitter and photovoltaic cell have a conversion efficiency (η s ) of η s = P P inc = ∫ 0 λ bg λ λ bg ρ ( λ , T ) ϵ ( λ ) d λ ∫ 0 ∞ ρ ( λ , T ) ϵ ( λ ) d λ . 11 . The photonic system of claim 9 wherein neither η s or P can be increased without decreasing the other. 12 . The photonic system of claim 10 wherein the Bragg reflector consists of alternating layers of SiO 2 and TiO 2 . 13
Computer-aided design [CAD] · CPC title
Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title
Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods · CPC title
Power analysis or power optimisation · CPC title
Thermophotovoltaic systems (photovoltaic cells specially adapted for conversion or sensing of infrared [IR] radiation H10F10/00; thermoelectric devices H10N10/00) · CPC title
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