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2 January 2015 Cross-correlation analysis of dispersive spectrum splitting techniques for photovoltaic systems
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There has been a significant interest in spectrum splitting techniques to increase the overall efficiency of photovoltaic solar energy systems. In spectrum splitting, an optical system is used to spectrally separate the incident sunlight. Although systems with different methods and geometries have been proposed, they can generally be classified as either dispersive or nondispersive. Nondispersive systems are based on reflective spectral filters that have minimum optical losses due to dispersion. Dispersive systems use optical elements that spatially separate light as a function of wavelength. This class of spectrum system typically operates in transmission and is shown to have an inherent optical loss. The dispersive effects of transmission type filters are evaluated using a cross-correlation analysis. The results of the analysis are then used to evaluate different spectrum splitting geometries and to determine parameters that minimize their dispersion losses and optimize optical designs.


Introduction to Spectrum Splitting

Shockley and Queisser have shown that single junction photovoltaic (PV) cells are limited to an efficiency of 33%.1 This limitation stems from the mismatch between the photon energy of the incident solar illumination and the bandgap energy of the PV cell. In order to overcome this limit, multiple bandgap PV cells can be used either in tandem or in parallel to improve the match with the incident solar spectral distribution. In the past, considerable effort has been given to tandem multijunction PV cells that are used in conjunction with a large aperture, high concentration optical element. Although successful, tandem multijunction cells are limited by the requirement of precise lattice matching between different bandgap layers and current matching limitations imposed by the least efficient PV cell. An alternative multijunction configuration uses optics to spectrally separate the incident solar illumination and distribute different spectral bands to single bandgap PV cells with a high response to the separated spectral component.2 The PV cells are spatially separated allowing dissimilar materials (with different lattice constants) to be used and avoids the need for current matching the output from different cell types. Spatial separation of the PV cells increases the freedom of selection of materials by removing the lattice matching requirement (when compared to tandem multijunction cells). On the other hand, the spatial separation and the addition of the optical system make the overall configuration and fabrication more complex.


Spectral Conversion Efficiency Analysis

When a PV cell is used in a spectrum splitting system (SSS), the spectral response of the filters used to separate different spectral bands must be included in the conversion efficiency expression. The filtered efficiency ηk* of the k’th PV cell of an SSS can be expressed as

Eq. (1)

where SR, VOC, and FF are the spectral responsivity, open circuit voltage, and fill factor, respectively, and are the parameters of the PV cell.3,4 The incident illumination characteristics are given by the spectral irradiance EAM1.5 and the integrated irradiance PAM1.5.5 From the equation above, the spectral conversion efficiency (SCE)4 is given by: SCE(λ)=VOC·FF·SR(λ). The wavelength-dependent filter transmittance function, T(λ), allows for filter characteristics to be used in determining the efficiency of the multiple bandgap PV system. For a system with K different PV cells, the total SSS efficiency is given by the following equation:6

Eq. (2)


The total efficiency of the SSS (ηSSS) is equivalent to the optical-to-electrical conversion efficiency reported in the literature for different SSSs (as summarized by Mojiri et al.7). The spectral conversion efficiency analysis for different spectrum splitting configurations is discussed in detail by Russo et al.8


Dispersive Spectrum Splitting Definitions

In dispersive SSSs, spectral separation is achieved by means of diffraction or refraction by one or more optical elements.6,911 The magnitude of the dispersion depends on the type of component used and can be expressed as a dispersion factor DF.8

When a dispersive filter is illuminated with the solar spectrum (i.e., AM1.5), each wavelength is dispersed into a continuum of wavelengths spatially separated along the receiver plane.8 In this paper, we quantify the degree to which the spatially dispersed spectrum on the receiver plane is matched to the position, size, and responsivity of a PV cell with the spectral overlap function τk(λ). Insufficient spectral separation results in the projection of the system aperture with an overlap of wavelengths on the receiver plane. The incomplete separation of wavelengths on the receiver plane as shown in Fig. 1(a) results in spectral mismatch losses between the separated spectral components and the PV cell spectral responsivity.

Fig. 1

(a) A single dispersive filter projects the complete spectrum along the receiver plane (x). Wavelength separation only occurs at the edge of the aperture. (b) Focusing power is combined with the dispersive element. The geometrical parameters for the cross-correlation analysis are shown.


In order to include dispersion effects in the calculation of the efficiency, Eq. (1) must include a spectral overlap function for each PV cell. These functions are the result of the spatial cross-correlation of the wavelength distribution as a function of position and the spatial aperture function of the cells on the receiver plane.

The total efficiency of an SSS using a dispersive optical element with K different PV cells can be calculated using the following equation:

Eq. (3)

where T(λ) is the transmittance (or efficiency for diffractive optical elements) of the filter and τk(λ) is the overlap function for the k’th PV cell. The value of the k’th overlap function at each wavelength is the fraction of the energy incident at the receiver plane that is collected by the aperture of the k’th PV cell. As shown in Eq. (3), each PV cell (k) has a distinct overlap function, τk(λ), associated with it.

Depending on the type of PV cells that comprise the SSS, there will be an optimum spectral range for each cell such as

Eq. (4)

Δλk=(λ2(k)λ1(k))for allλwhereSCEk=MAX[SCEk,SCEk+1,,SCEK].
The optimum range for a combination that includes a GaAs,12 InGaP2,13 and silicon14 PV cell is shown in Fig. 2. The fraction of incident light in the Δλk range that is collected by the k’th PV cell can be calculated as

Eq. (5)

where ητk is the optical transfer efficiency of the aperture of PV k’th cell. Ideally, a system for maximum collection (ητk=1) will be designed to have τk(λ)=1 in the Δλk range for a specific PV cell and τk(λ)=0 outside of it as shown in Fig. 2.

Fig. 2

(a) Optimum receiver axis with photovoltaic (PV) cell size and position parameters shown for InGaP2 (blue), GaAs (red), and Si (black) as given by the optimum spectral range (b) for a diffraction grating (DF=16deg/μm) with ideal overlap functions. Equation (7) was used to convert from position (a) to wavelength (b).



Dispersion and Geometrical Parameters

The spectral overlap function will depend on the dispersion and geometrical parameters of the SSS listed in Table 1 and shown in Fig. 1.

Table 1

Dispersion and geometrical parameters used to calculate the spectral overlap function.

Optical axiszDirection of solar incidence
Dispersion factorDFDF=dθ/dλ is the dispersion characteristic of the filter used
Dispersion angleθ(λ)Angle from the optical axis at which each wavelength component is deviated from the optical axis
System apertureAEntrance aperture before the dispersive element
Spot sizeARMS spot size at the receiver plane along the dispersion direction (x-direction in Fig. 1)
Focusing powerMRatio of the system aperture to spot size
Receiver apertureakEntrance aperture of the PV cell or secondary optic
Receiver axisxAxis along the receiver plane where the PV cells are placed
Receiver positionx=ckCentral position of k’th PV cell. Constant (in terms of wavelength)
Spot positionx(λ)A function of wavelength. Defines the continuum of wavelengths since each wavelength component will have a different position due to dispersion (DF0)
Optical-receiver plane separationdDistance between the dispersive element and the receiver plane



The dispersion factor DF is given by8

Eq. (6)

where θ(λ) is the dispersion angle from the filter in the medium between the filter and the receiver plane as shown in Fig. 1. The magnitude of the dispersion factor is a function of the type of dispersive element used (prism, diffraction grating, etc.). The position of a particular wavelength, x(λ), within the continuum of dispersed wavelengths can be calculated using

Eq. (7)

where d is the separation distance between the dispersive filter and the receiver plane.


System aperture, spot size, and focusing

For systems without secondary optics,10 the receiver parameters (position and aperture) refer to the aperture of the PV cell itself. For systems with a secondary optic (such as a homogenizer,15 lens, or compound parabolic concentrator6,16,17) the receiver parameters refer to the position and size of the entrance aperture of the secondary optic.

In this paper, we define focusing power as the ratio of the system entrance aperture (A) over the RMS spot size (A) at the receiver plane as shown below:

Eq. (8)

In a concentrating photovoltaic system without spectrum splitting (DF=0), the term focusing as defined in this paper is interchangeable with geometrical concentration.18


Receiver size and position

Although the PV cell size and position depends on fabrication and design constraints, the selection of semiconductor materials (their spectral responsivities) will dictate the optimum spectral range Δλk defined in Eq. (4) above. It is possible to calculate optimum size and position for each of the PV cells based on the SCE of the cells that comprise the SSS using Eq. (7) to convert the optimum spectral range from wavelengths to positions at the receiver axis using the following equations:

Eq. (9)

The equations above were used to obtain the correspondence between horizontal axes of the two sections of Figs. 2(a) and 2(b). The equations above guarantee that the λ1(k) and λ2(k) wavelength components of the dispersed continuum align with the edges of the k’th PV cell at the receiver plane. The optimum size for a PV cell depends on the separation distance d and the dispersion factor DF as shown in Eq. (9) and Fig. 3. Also shown in Fig. 3 is the fact that as the separation distance, d, is reduced, the optimum PV cell aperture, ak, is also reduced.

Fig. 3

PV aperture size (ak) versus separation distance (d). Increasing the dispersion increases the slope of the graph.


If all dispersed wavelength components, Δλk, are focused down to a perfect image point, all the wavelength components in the optimum spectral range are collected by an optimum sized PV cell, the overlap function τk is ideal (as shown in Fig. 2) and the dispersion losses are zero. However, since the wavelength components Δλk have a finite extent, they either overlap completely, partially, or miss the PV aperture giving rise to dispersion loss. This is explained in more detail in Sec. 3.3.


Dispersive Cross-Correlation Analysis

In this section, the spectral components of the dispersed spectrum will be defined as rectangular functions of position. The spectral overlap function will be defined and the dispersion losses will be explained.


Rectangular Function Representations at the Receiver Plane

As shown in Fig. 1 and by Videos 1 and 2, the continuum incident at the receiver plane is comprised of consecutive and overlapping wavelength components that have finite extent. The size and separation of the components will depend on the amount of focusing defined in Eq. (8) and the parameters listed in Table 1. It is possible to represent the spectral continuum as a set of rectangular functions S(x) positioned along the receiver axis as

Eq. (10)

where the width is a function of the RMS spot size (A) along the dispersion direction x.

As shown in Fig. 2, the k’th PV cell can be represented as a rectangular function PVk(x) along the receiver axis as

Eq. (11)

where the width and position of the rectangular function are the size (ak) and displacement (ck) of the PV cell, respectively.


Cross-Correlation Analysis to Obtain the Spectral Overlap Function

Dispersion will cause the wavelength components S(x) to have varying degrees of overlap with different PV cell apertures on the receiver plane. A spectral overlap function can be obtained by computing the overlap between S(x) functions and the PV cell aperture function PVk(x) for different positions of the dispersed wavelengths x(λ) as

Eq. (12)

The operation shown in Eq. (12) is equivalent to a cross-correlation19 between the rectangular functions PVk(x) and S(x) with a wavelength projection position x(λ) with

Eq. (13)


The spectral overlap function τk(λ) can be obtained as a function of wavelength using the equation for x(λ) from Eq. (7) in Eq. (13). The result of the cross-correlation operation is shown in Fig. 4 (and in Videos 1 and 2) for an equal spot size to PV cell aperture size (A=ak) and for a spot size 20 times smaller (A/20=ak). This figure shows, as expected, that reducing the RMS spot size relative to the PV cell aperture size results in a more square shape for the spectral overlap function.

Fig. 4

Overlap functions for A=ak (a) and for A=ak/20 (b). An animation of the cross-correlation operation shown one wavelength at a time for A=ak and for A=ak/20 in Videos 1 and 2, respectively (Video 1, MP4, 0.98 MB) [URI:] and Video 2, MP4, 0.98 MB) [].



Dispersion losses and aperture transfer efficiency

Incident light can be incident on one or more cells, or miss the apertures of all of the cells (be a loss). Since energy must be conserved, the summation of all spectral overlap functions for each wavelength is

Eq. (14)


Dispersed light that does not illuminate any of the PV cell apertures is a dispersion loss and can be calculated as

Eq. (15)

ηaperture loss=1PAM1.5[11Kτk(λ)]·MAX[SCEk,SCEk+1,,SCEK]·EAM1.5(λ)·T(λ)·dλ,ηaperture loss11Kτk(λ).
For the case where the summation term in Eq. (15) is equal to zero (as in Fig. 5 where τk1(λ)+τk(λ)+τk+1(λ)=0 for λ<0.3μm and λ>1.2μm), the dispersed light misses all the cells in the system at that wavelength range and is completely lost due to dispersion. If the summation term in Eq. (15) is less than one [as in Fig. 5 where τk1(λ)+τk(λ)+τk+1(λ)<1 for λ=[0.30.565]μm and λ=[0.9751.2]μm], some of the light at that wavelength is incident on one or more PV cells and some of it is lost due to dispersion. Finally, if the summation term is equal to one [as in Fig. 5 where τk1(λ)+τk(λ)+τk+1(λ)=1 for λ=[0.5650.975]μm], all of the light is incident on one or more PV cells and there is no aperture loss. Note that a value larger than one for the summation term would indicate more energy at the receiver axis than at the entrance aperture and is invalid since it violates energy conservation.

Fig. 5

Spectral overlap functions for a system using InGaP2 (blue), GaAs (red), and Si (black) with aperture and spatial crosstalk losses highlighted. The optimal spectral range is highlighted for GaAs.


In an SSS, PV cells that are not properly matched with the incident spectrum will incur thermalization losses below λ1(k) and will not be absorbed above λ2(k) similar to a broadband PV system. Figure 5 shows ideal and nonideal overlap functions for a GaAs PV cell (in red). The nonideal overlap function extends beyond and does not completely fill the Δλk optimal wavelength range (as shown in Fig. 5). The extension of the overlap function beyond its corresponding Δλk range is defined as a mismatch loss in this paper. These losses are proportional to the difference between the k’th (mismatch cell) SCE and the maximum possible SCE of the system and can be calculated as

Eq. (16)

ηmismatch loss=1PAM1.5EAM1.5(λ)·(MAX[SCEk,SCEk+1,,SCEK]SCEk)·τk(λ)·T(λ)·dληmismatch loss(MAX[SCEk,SCEk+1,,SCEK]SCEk)·τk(λ),
where the SCEs are a functions of wavelength. The equation above is equal to zero in the optimal spectral range since SCEk is matched and maximum. At wavelengths corresponding to energies below the bandgap energy, SCEk=0 and the mismatch loss is maximum. In Fig. 5, it can be seen that for the same range λ=[0.5650.975]μm that has zero aperture loss [τk1(λ)+τk(λ)+τk+1(λ)=1], some light is incident on the k1 PV cell (highlighted in blue) and k+1 PV cell (highlighted in gray). The mismatch losses in this example are proportional to SCEk1SCEk (where SCEk1=0) and SCEk+1SCEk (where SCEk+1<SCEk), respectively, and are both negative.

The dispersion loss terms defined in this section [in Eqs. (15) and (16)] quantify the amount the overlap function deviates from ideal conditions and affects the overall efficiency of the SSS. Using these loss definitions, consider the efficiency of the system in the absence of dispersion losses as

Eq. (17)

ηSSSideal=ηSSS+ηdispersion loss=ηSSS+ηaperture loss+ηmissmatch loss.


Form Factor: Spectral Shape of the Overlap Function

In Eq. (12) with A=ak (equal spot size and PVk aperture size), only a narrow spectral band will be collected completely [τk(λ)=1] by the PV cell. This is indicated by the triangular spectral shape of the overlap functions in Fig. 5 where τk=1 at the peaks of each function. In Fig. 5, τk<1 for the rest of the wavelength components due to a mix of the aperture and mismatch losses defined in the previous section. As shown in Fig. 6(a), when the spot size A and the PV aperture size ak are equal, all the wavelength components of the continuum preceding and subsequent to the peak only partially overlap with the PV cell aperture, hence the τk<1 overlap function value and only a part of the matched spectrum is collected.

Fig. 6

Spectral overlap function for a form factor of (a) unity and (b) four. Above, overlapping projections S(x) shown for (a) two and (b) three wavelengths. The spatial crosstalk due to incomplete separation is highlighted for both cases.


Changing the relationship between the spot size and the PV aperture to A<ak by incorporating focusing (M) in the collection aperture, the width of the spectral band captured by the cell increases. This case is shown in Fig. 6(b), where A=ak/4 and the overlap function has a trapezoidal shape as a function of wavelength. Assuming that the geometry of the system allows for Aak, the spectral overlap function can approximate a square shape. Another useful parameter in specifying an SSS is the form factor Fk defined as

Eq. (18)


The form factor is analogous to specifying a spatial frequency of the SSS in terms of how many of the dispersed spectral projections and what proportion fit in the aperture of each PV cell. In this context, the energy collection efficiency ητk can be considered as the transfer efficiency of the aperture of the k’th PV cell compared to a system with no dispersion losses (ideal spectral overlap function). The case where there are no dispersion losses corresponds to 100% transfer efficiency. The “transfer efficiency” can be used to determine the amount of focusing power (M) required to achieve a desired amount of energy collection efficiency for an SSS with a fixed collection aperture (A) and PV cell aperture size (ak), for example, when Fk=1/2 results in an energy collection efficiency of ητk=87% (for an optimally sized PV cell) as defined in Eq. (5). If the ratio of A/ak=1/5, a focusing power of M=10 is required to achieve this collection efficiency. Reducing the form factor to values much less than 1/2 increases the aperture transfer efficiency to values close to unity and reduces the dispersion losses to a minimum. This effect can be seen in Fig. 7, where the optical transfer efficiency of the PV apertures is near 100% with form factor values Fk1/2. Values of Fk>1 correspond to incomplete spectrum separation due to a spot size larger than the PV aperture (A>ak). As seen in seen in Fig. 7, the mismatch loss (ηmismatch loss) is much larger than the aperture loss due to the mismatched light that falls on neighboring PV cells. One important conclusion of this analysis is that dispersive spectrum splitting requires form factors of less than unity to have high aperture transfer efficiencies. This implies that focusing power (i.e., concentration) is necessary. This requirement increases the complexity of the system, reduces the acceptance angle,3 and has an effect on the angular distribution and hence the response of the PV cell.20,21

Fig. 7

Aperture transfer efficiency (ητk), SSS efficiency (ηSSS) and dispersion loss (ηdisp=ηaper. loss+ηmismatch loss) as a function of form factor (F) for optimized cell sizes (ak1akak+1 since for the selected cells Δλk1ΔλkΔλk+1). The case where the PV cell size is forced to be equal is expanded in the Appendix.



Scaling effects

Since a form factor Fk1/2 (as shown in Fig. 7) is required for maximum optical transfer efficiency of the PV cell aperture, a spot size Aak/2 [following Eq. (18)] is also required. When the height of the system (d) is reduced (Fig. 2) greater focusing power M (i.e., smaller f#) is required to produce a smaller diffraction limited spot on the receiver plane. Figure 8 shows the required spot size when the separation height (d in Fig. 1) is reduced from 100 to 0.001 mm for a system with a 10-mm aperture. This figure also shows that there is a critical separation distance for this system (near 10 mm at f/1 for DF=10.25deg/μm and smaller for others) below which the optical transfer efficiency is low due to insufficient dispersion. As the system cannot maintain a spot size to sustain Fk1/2, the form factor increases and the transfer efficiency decreases. As shown in Fig. 8, increasing the dispersion increases the transfer efficiency.

Fig. 8

(a) Spot size (A) versus distance from filter (d) for Fk=1/4<1/2 and ητk=96% shown for multiple values of the dispersion factor (DF). (b) The form factor increases as the optical system cannot achieve the optimum spot size and hence the optical transfer efficiency drops to zero close to the entrance aperture.




In this paper, it was shown that controlling the spatial extent of the spectral distribution is critical for maintaining high energy collection efficiency of transmission type SSSs. The spatial extent of different spectral components that are separated by the dispersive element is controlled using focusing power at the collection aperture of the system. This approach was quantified using a cross-correlation analysis for energy collection efficiency as a function of the form factor of the system that includes the collection and PV cell apertures and the focusing power of the SSS. With the cross-correlation analysis, the spectral overlap function of each PV cell of the SSS was obtained. In this analysis, the losses caused by dispersion were defined as the degree at which the dispersed wavelength components overlapped with the intended PV cell aperture. Dispersion losses were found to be of two types: aperture losses and mismatch losses. Aperture losses were defined as light that does not illuminate the aperture of any PV cell. Mismatch losses are caused by PV cells that are not properly matched with the incident spectrum due to dispersion. It was found that the form factor needs to be minimized in order to maximize the optical transfer efficiency of the PV apertures and minimize the dispersion losses. The cross-correlation analysis was shown to provide a useful method to design dispersive SSSs to minimize dispersion losses, maximize overall system efficiency, and analyze effects of scaling the separation distance between the entrance aperture and the receiver plane (PV cells). Other methods either attribute the dispersion effects or “blurred spectrum” to the angular extent of the solar illumination11 or do not characterize the dispersion losses separately from other optical losses.10



Nonoptimal Cell Size

Minimizing the form factor increases the optical transfer efficiency to near 100% only for PV apertures with optimum sizes following Eqs. (4) and (9). Design and fabrication constraints may limit the dimensions of the PV cells used (e.g., equal sized PV cells) to sizes that are not optimum.

For undersized PV cells [smaller than the optimal size calculated in Eq. (9)], the ideal aperture transfer efficiency will not reach 100%. This is because the spectral bandwidth captured by the cell is smaller than the optimal spectral range. Conversely, for oversized PV cells [larger than the optimal size calculated in Eq. (9)], the spectral bandwidth captured is larger than the optimal spectral range (actually it encompasses it completely). Although the oversized cell can achieve a 100% theoretical aperture transfer efficiency, wavelength components outside of the optimal spectral range captured by the oversized cell will incur in mismatch losses. These losses will limit the aperture transfer efficiency of the neighboring cells to values <100%.

In the case shown in Fig. 9, ak (GaAs) is optimally sized while ak1 (InGaP2) and ak+1 (Si) are not (both are smaller than optimal). Examination of the optical transfer efficiency in Fig. 9 shows that reducing the form factor does not compensate for aperture losses caused by nonoptimally sized cells. This can be seen in the InGaP2 and Si cells reaching a maximum of 70% and 85% optical transfer efficiency, respectively. The optimally sized cell (GaAs) reaches nearly 100% for Fk1/2 as expected.

Fig. 9

Aperture transfer efficiency (ητk), SSS efficiency (ηSSS), and dispersion loss (ηdisp=ηaper. loss+ηmismatch loss) as a function of form factor (Fk) for equal cell size (ak1=ak=ak+1). Only the size of the k’th cell has been optimized for its corresponding optimum wavelength range Δλk.


In order to maximize the SSS efficiency ηSSS, it is important to design the optical system in a way that the most efficient PV cell of the SSS has the highest aperture transfer efficiency when fabricating all PV apertures to be optimally sized is not possible. This is because the ηSSS is the summation of the filtered efficiencies of the PV cells ηk* given in Eq. (2). In the case shown in Fig. 9, the optical system was designed to have maximum aperture transfer efficiency (theoretical 100%) for the most efficient cell of the SSS (GaAs) assuming that all PV apertures were limited to the same dimensions.


The authors wish to acknowledge support from the NSF/DOE ERC cooperative agreement No. EEC-1041895, NSF Grant Nos. 0925085 and 1405619, State of Arizona TRIF (WEES) program and the Research Corporation.



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Juan Manuel Russo received his Bachelor of Science degree in electrical and electronic engineering in the Technological University of Panama in 2004, received a Master of Science in electrical and computer engineering in the University of Arizona in 2007 and is currently pursuing a PhD degree in electrical and computer engineering at the University of Arizona. Also, he has industry experience developing holographic planar concentrator solar modules. His current research interests include optical engineering, holography, illumination, and solar energy. He is a member of SPIE.

Shelby Vorndran received her bachelor's degree in physics from DePauw University in 2010. She received a master’s degree in optical science from the University of Arizona in 2013 and is currently pursuing a PhD degree in optical science. In Photonic Systems Laboratory, she designs and fabricates diffractive holographic and surface relief structures to control spectral irradiance. Her current research interest is in renewable energy, specifically photovoltaic, and biofuel systems.

Yuechen Wu received his Bachelor of Science degree in electrical and computer science engineering at the University of Toledo in 2012. He is currently pursuing a PhD degree in electrical and computer engineering, and working at the Photonic System Laboratory at the University of Arizona. His research interests include diffractive optics, optical engineering, micro-optics, and solar energy.

Raymond K. Kostuk has a joint professor position with UA’s ECE Department and the College of Optical Sciences. He received a PhD degree in electrical engineering from Stanford University. His primary area of expertise is in holographic concepts, materials, and applications, with over 30 years experience in that area. He is a fellow of the Optical Society of America and SPIE.

© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2015/$25.00 © 2015 SPIE
Juan Manuel Russo, Shelby Vorndran, Yuechen Wu, and Raymond K. Kostuk "Cross-correlation analysis of dispersive spectrum splitting techniques for photovoltaic systems," Journal of Photonics for Energy 5(1), 054599 (2 January 2015).
Published: 2 January 2015


CHORUS Article. This article was made freely available starting 02 January 2016

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