# Tailoring photonic metamaterial resonances for thermal radiation

- Peter Bermel
^{1}Email author, - Michael Ghebrebrhan
^{1}, - Michael Harradon
^{1}, - Yi Xiang Yeng
^{1}, - Ivan Celanovic
^{1}, - John D Joannopoulos
^{1}and - Marin Soljacic
^{1}

**6**:549

https://doi.org/10.1186/1556-276X-6-549

© Bermel et al; licensee Springer. 2011

**Received: **23 May 2011

**Accepted: **6 October 2011

**Published: **6 October 2011

## Abstract

Selective solar absorbers generally have limited effectiveness in unconcentrated sunlight, because of reradiation losses over a broad range of wavelengths and angles. However, metamaterials offer the potential to limit radiation exchange to a proscribed range of angles and wavelengths, which has the potential to dramatically boost performance. After globally optimizing one particular class of such designs, we find thermal transfer efficiencies of 78% at temperatures over 1,000°C, with overall system energy conversion efficiencies of 37%, exceeding the Shockley-Quiesser efficiency limit of 31% for photovoltaic conversion under unconcentrated sunlight. This represents a 250% increase in efficiency and 94% decrease in selective emitter area compared to a standard, angular-insensitive selective absorber.

**PACS:** 42.70.Qs; 81.05.Xj; 78.67.Pt; 42.79.Ek

## Keywords

## 1 Background

Solar thermophotovoltaic (TPV) systems offer a distinct approach for converting sunlight into electricity [1–6]. Compared to standard photovoltaics, sunlight is not absorbed directly by a photovoltaic material, but is instead absorbed by a selective absorber. That selective absorber is thermally coupled to a selective emitter, which then thermally radiates electromagnetic radiation. The key challenge to making such a system efficient is achieving a relatively high temperature. Generally, this implies high optical concentrations [7]. However, one could consider whether there would be another way to concentrate heat in the selective absorber--without using optical concentrators at all. The key idea here is to replace the effect of optical concentration using a different method.

The most plausible approach to thermal concentration is angular selectivity--only allowing light to be absorbed within a small range of angles. The reason is that the apparent size of the sun is only a small fraction of the sky--approximately 1 part in 46,200 [8]. Several researchers have considered this in the context of photovoltaics [9] and thermophotovoltaics [6, 10]. Metamaterials, such as photonic crystals, offer unprecedented control over wavelength- and angle-dependent absorptivity. In such systems, photon resonances can be tailored to target particular frequencies and conserved wavevectors to provide pinpoint control over thermal emission. Such an approach can be applied to create selective solar absorbing surfaces for applications such as solar thermal electricity, solar thermoelectrics, and solar thermophotovoltaics. The critical figure of merit is generally the fraction of incident solar radiation capable of being captured as heat. Typically, modest infrared emissivities put strict upper limits on the overall thermal transfer efficiency possible for the unconcentrated AM1.5 solar spectrum. However, carefully designed photonic metamaterials can strongly suppress thermal losses in the infrared.

where *I*
_{m} and *V*
_{m} are the current and voltage of the thermophotovoltaic diode at the maximum power point, *C* is the concentration in suns relative to the solar constant *I*
_{s} (usually taken to be 1 kW/m^{2}), and *A*
_{s} is the surface area of the selective solar absorber. This system can conceptually be decomposed into two halves: the selective solar absorber front end and the selective emitter plus TPV diode back end. Each half can be assigned its own efficiency: *η*
_{
t
} and *η*
_{
p
}, respectively.

*T*is the equilibrium temperature of the selective absorber and emitter region. The efficiency of each subsystem can be further decomposed into its component parts. In particular, the selective solar absorber efficiency can be represented by [5, 11]:

where *B* is the window transmissivity, $\stackrel{\u0304}{\alpha}$ is the spectrally averaged absorptivity, $\stackrel{\u0304}{\epsilon}$ is the spectrally averaged emissivity, and *σ* is the Stefan-Boltzmann constant.

where ${\stackrel{\u0304}{\epsilon}}_{\mathsf{\text{E}}}$ and *A*
_{E} are the effective emissivity and area of the selective emitter, respectively.

## 2 Results and discussion

*δ*otherwise. The ranges for the selective absorbers and emitters are optimized separately, and the lower end of the selective emitter frequency range equals the TPV diode bandgap frequency

*ω*

_{ g }. If we consider the case of unconcentrated sunlight, the limit

*δ*→ 0 implies a decoupling between the selective absorber and emitter, where the selective absorber is kept relatively cool to maximize

*η*

_{ t }, while the selective emitter acts as if it were much hotter with a bandgap frequency

*ω*

_{ g }well over the blackbody peak predicted by Wien's law. However, this also leads to declining effective emissivity ${\stackrel{\u0304}{\epsilon}}_{\mathsf{\text{E}}}\propto \delta $, and thus

*A*

_{E}/

*A*

_{s}∝ 1/

*δ*. This expectation is supported by the numerical calculations in Figure 2 (see the Methods sections for details), which demonstrate both that efficiency slowly increases with decreasing

*δ*, while the area ratio increases rapidly as 1/

*δ*. Clearly the limit where

*δ*→ 0 and

*A*

_{ E }/

*A*

_{ s }→ ∞ is unphysical, both because the time to establish equilibrium in an arbitrarily large system is arbitrarily long, and a perfectly sharp emissivity cutoff requires a step function in the imaginary part of the dielectric constant of the underlying material. However, the latter is inconsistent with the Kramers-Kronig relations for material dispersion, which derive from causality [12].

*δ*= 0.05 as well, this implies a maximum system efficiency of 10.5% (

*T*= 720 K,

*η*

_{ t }= 0.6937,

*η*

_{ p }= 0.1510,

*A*

_{ E }

*/A*

_{ s }= 0.75), as illustrated in Figure 3a. While a physically relevant result, this efficiency is unfortunately less than a quarter of the asymptotic efficiency calculated above as

*δ*→ 0.

*δ*= 0.05 and

*δ*→ 0, we can employ a combination of wavelength and angle selectivity. It has been shown in a large number of previous publications that absorption can be made to peak at a certain target angle or wavevector, over a certain range of wavelengths. While an exact analytical expression is often lacking, it generally resembles a top hat function in wavelength space, and a local maximum in the angular dimension [14, 15]. Since local maxima can be approximated as inverted parabolas, the analytical expression we use is as follows [14, 15]:

*ω*

_{1}<

*ω < ω*

_{2}and 0 otherwise. This definition is illustrated in Figure 4 for frequencies within the window of the top hat.

*T*= 1, 600 K,

*η*

_{ t }= 0.7872,

*η*

_{ p }= 0.4697,

*A*

_{E}/

*A*

_{s}= 0.05). This is 3.5 times higher than our previous result, and fairly close to the asymptotic limit where

*δ*→ 0 from before, without the physically unreasonable requirement of a perfectly sharp emissivity cutoff (which is inconsistent with causality). This result also exceeds the Shockley-Quiesser limit for photovoltaic energy conversion in unconcentrated sunlight of 31% efficiency [8]. Furthermore, as illustrated in Figure 5, photovoltaic diodes made from group IV compounds such as silicon and germanium have bandgaps that would allow for the system to continue to exceed the Shockley-Quiesser limit. Finally, the much lower area ratio

*A*

_{E}/

*A*

_{s}= 0.05 implies that the angle-selective solar absorber illustrated in Figure 1 would serve as a sort of thermal concentrator, thus allowing for much less thermophotovoltaic area to be used compared to previous designs in the literature.

*µ*m exhibits decreasing average emissivity with increasing angle away from normal incidence. In particular, at a 75° angle, the average emissivity for wavelengths from 400 nm to 2

*μ*m is 30% lower than at normal incidence. Overall, for an absorber in unconcentrated sunlight held at 400 K, the spectrally averaged absorptivity $\stackrel{\u0304}{\alpha}=0.867$, while the spectrally average emissivity $\stackrel{\u0304}{\epsilon}=0.073$. This results in a projected thermal transfer efficiency

*η*

_{ t }= 0.750. Such a result compares favorably with previously proposed selective absorber designs, such as a germanium with a silver back and an anti-reflection coating, with a projected thermal transfer efficiency of 0.678 under identical conditions [5]. Additionally, increasing the operating temperature to 1,000 K and employing 100 sun concentration (e.g., with a parabolic trough) yields a projected thermal transfer of 0.741; again, above a semiconductor-based design with an anti-reflection coating, displaying a thermal transfer efficiency of 0.710 under identical conditions [5]. Clearly, suppressing off-angle emission with relatively simple structures such as 2D arrays of holes in tungsten can give rise to improved spectrally selective performance. Future work should focus on modifying these structures to narrow the acceptance angles. This approach should allow one to achieve record-setting thermal transfer efficiencies for selective solar absorbers.

## 3 Conclusions

It was found that although in principle solar thermophotovoltaic systems in unconcentrated sunlight can exceed efficiencies of 42%, achieving such performance requires suppression of emissivities to unreasonably low levels. Conventional materials with undesired emissivities of 0.05 display much lower efficiencies of 10.5%. However, most of the theoretically allowed performance can be restored by introducing angular selectivity of the assumed form in Equation 5, with up to 37% overall system efficiency. The system also acts as a thermal concentrator, with receiver areas 20 times larger than the emitter areas. Finally, we considered 2D arrays of nanoscale cylindrical holes in single crystal tungsten as a candidate metamaterial for angle-selective operation, and found the optimal design parameters to be a period of 800 nm, a radius of 380 nm, and a depth of 3.04 *μ* m, with a thermal transfer efficiency of 75.0% in unconcentrated sunlight at 400 K.

## 4 Methods

Simulations of electromagnetic properties were conducted following the same methods as outlined in [5]. We employ a finite difference time-domain (FDTD) simulation [16] implemented via a freely available software package developed at MIT, known as MEEP [17]. A plane wave is sent from the normal direction and propagated through space. On each grid point of a flux plane defined at the front and back of the computational cell, the electric and magnetic fields are Fourier-transformed via integration with respect to preset frequencies at each time-step. At the end of the simulation, the Poynting vector is calculated for each frequency and integrated across each plane, which yields the total transmitted and reflected power at each frequency [17]. The dispersion of tungsten is captured via a Lorentz-Drude model [18]. Apart from the approximations of material dispersions and grid discretization, these calculation methods are exact.

The emissivity of each structure can be calculated from the absorptivity computed above via Kirchhoff's law of thermal radiation, which states that the two quantities must be equal at every wavelength for a body in thermal equilibrium [19].

The system efficiency is calculated from numerical integration (via the trapezoidal rule) of Eqs. 3 and 4, and taking their product as in Equation 2. It can then be globally optimized through the application of the multi-level single-linkage (MLSL), derivative-based algorithm using a low-discrepancy sequence (LDS) [20]. This algorithm executes a quasi-random (LDS) sequence of local searches using constrained optimization by linear approximation (COBYLA) [21], with a clustering heuristic to avoid multiple local searches for the same local minimum. We verified that other global search algorithms, such as DIRECT-L [22], yield similar results. This ability to directly utilize and compare multiple optimization packages on the same problem is provided by the NLopt package, written by Prof. Steven G. Johnson and freely available at http://ab-initio.mit.edu/nlopt.

## Declarations

### Acknowledgements

The authors thank Nenad Miljkovic, Youngsuk Nam, and Evelyn Wang. This work was supported by the MRSEC Program of the National Science Foundation under award number DMR-0819762 (MG), the MIT S3TEC Energy Research Frontier Center of the Department of Energy under Grant No. DE-SC0001299 (YY), and the Army Research Office through the Institute for Soldier Nanotechnologies under Contract Nos. DAAD-19-02-D0002 and W911NF-07-D0004 (PB, IC).

## Authors’ Affiliations

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