Dario Narducci1, Bruno Lorenzi1. 1. Department of Materials Science, University of Milano-Bicocca, Via Cozzi 55, I-20125 Milan, Italy.
Abstract
Over the last few years, a growing interest has surfaced about the possibility of enhancing solar harvester efficiency by coupling photovoltaic (PV) cells with thermoelectric generators (TEGs). To be effective solutions, hybrid thermoelectric-photovoltaic (HTEPV) solar harvesters must not only increase the solar conversion efficiency but should also be economically competitive. The aim of this paper is to estimate the profitability of HTEPV solar harvesters with no reference to specific materials, relating it instead to their physical properties only and thus providing a tool to address research effort toward classes of HTEPV systems able to compete with current PV technologies. An economic convenience index is defined and used to assess the economic sustainability of hybridization. It is found that, although hybridization often leads to enhanced solar power conversion, power costs (USD/W) may not always justify HTEPV deployment at the current stage of technology. An analysis of the cost structure shows that profitability requires largely enhanced thermoelectric stages, concentrated solar cells, or PV materials with favorable temperature efficiency coefficients, such as perovskite solar cells.
Over the last few years, a growing interest has surfaced about the possibility of enhancing solar harvester efficiency by coupling photovoltaic (PV) cells with thermoelectric generators (TEGs). To be effective solutions, hybrid thermoelectric-photovoltaic (HTEPV) solar harvesters must not only increase the solar conversion efficiency but should also be economically competitive. The aim of this paper is to estimate the profitability of HTEPV solar harvesters with no reference to specific materials, relating it instead to their physical properties only and thus providing a tool to address research effort toward classes of HTEPV systems able to compete with current PV technologies. An economic convenience index is defined and used to assess the economic sustainability of hybridization. It is found that, although hybridization often leads to enhanced solar power conversion, power costs (USD/W) may not always justify HTEPV deployment at the current stage of technology. An analysis of the cost structure shows that profitability requires largely enhanced thermoelectric stages, concentrated solar cells, or PV materials with favorable temperature efficiency coefficients, such as perovskite solar cells.
Photovoltaic
(PV) cells are devices capable of converting electromagnetic
radiation into electricity. The efficiency of a PV cell is intrinsically
limited by the physical mechanism of power conversion[1] since energy may be converted without losses only when
photon energy is equal to the PV absorber band gap. Photons with lower
energies are transmitted while photons with higher energies generate
hot hole–electron pairs that relax by dissipating the heat
energy exceeding the energy gap. Further reduction of efficiency results
from technological factors, including hole-pair recombination at defects.
Larger conversion efficiencies may be obtained by multiple-junction
or tandem cells, pairing more absorbing materials. However, this unavoidably
leads to higher fabrication costs and complexity.Hybrid thermoelectric-photovoltaic
(HTEPV) cells are a possible
way to enhance solar harvesting efficiency by (partially) recovering
the heat dissipated by the PV stage(s) through a thermoelectric (TE)
stage. Over the last years, several approaches have been pursued to
effectively pair PV and TE stages. Laboratory prototypes of HTEPV
generators have been fabricated and tested as well,[2−11] although hybrid solar harvesters have not yet moved to manufacturing.The goal of this paper is to provide a comparative estimate of
power costs for PV and hybrid solar harvesters built using contact
TE-PV pairing with no reference to specific classes of TE and PV materials.
An economic convenience index (EcCI) will be proposed to evaluate
both concentrated and nonconcentrated HTEPVs. Analysis of power costs
will be complemented by an evaluation of the payback period (PBP)
of hybrid solar harvesters. This work will focus on single-junction
solar cells working at small solar concentrations, which are the dominating
technology in the domestic (rooftop) market. Since the analysis that
will be proposed relies on the cost structure of the hybrid solar
harvesters, multiple-junction solar cells (operating at much larger
optical concentrations and mostly aimed at centralized power plants)
will not be considered to keep the economic analysis manageable and
compendious. Additionally, with multiple-junction solar cells with
PV efficiencies commonly exceeding 35%, making HTEPV harvesters profitable
would face the challenge of achieving efficiency improvements of several
percentage points to pay back the additional costs related to the
use of segmented thermoelectric generators (TEGs) operating over extended
temperature ranges.Seemingly, direct (contact) pairing (Figure ) might not necessarily
be the most appropriate
approach to hybridization as the TE stage requires high temperatures,
while the PV efficiency decays with temperature. Alternate layouts
have been considered, including spectrum-splitters[12−14] and optical
coupling.[15] However, while such pairing
schemes avoid temperature compromises between PV and TE stages, they
inevitably make unavailable to the TE conversion the large amount
of heat released by the PV stage. Furthermore, HTEPV harvesters are
not the only possibility to use sun power more extensively.
Figure 1
Schematics
of a hybrid TE-PV solar harvester implementing direct
(contact) pairing between the two stages.
Schematics
of a hybrid TE-PV solar harvester implementing direct
(contact) pairing between the two stages.Beyond energetic convenience, for HTEPV harvesters to be a viable
technology, their economic profitability also needs to be assessed.
Possibly, the first attempt to estimate HTEPV convenience was advanced
by van der Sark.[16] van der Sark evaluated
the affordability of pairing TEGs to PV cells by considering the extra
cost of a TEG retrofit sized in such a way to convert all heat released
by the PV stage, reaching the conclusion that HTEPV could have attained
economic convenience only when TEG costs would have dropped down by
at least a factor of 10. More recently, Zhu et al.[17] computed the power costs χHTEPV (USD/W)
of hybrid harvesters by optimizing costs ahead of power conversion.
Economic convenience was properly assumed to occur when the power
cost of the HTEPV was lower than that of the PV module, under the
additional requirement that the total power output also exceeded a
minimum output power set by user-application needs. Unfortunately,
Zhu et al. fully neglected the areal cost of installation. In addition,
PV efficiency was taken as a constant, not depending on (decreasing
with) hybridization. This makes their results valid only for (ideal)
spectrum-split solutions.In more recent years, several papers
have been published reporting
accurate evaluations of the economic viability of TE hybridization
of given classes of PV modules. Integration of the concentrated PV
system based on triple-junction cells (GaInP/GaInAs/Ge) with TEGs
was analyzed by Rezania and Rosendahl.[18] Direct pairing was investigated, showing that, for current TE technologies
(ZT ≈ 1), further to an improvement of efficiency, suitable
choice of heat exchangers makes HTEPV also economically viable. The
weight of heat exchanger costs was further considered by Rodrigo et
al.,[19] still investigating highly concentrated
solar harvesters and triple-junction solar cells. While high-efficiency,
yet unavailable, TEGs disclose excellent opportunities of enhanced
conversion, both energetically and economically, a trade-off was searched
between cost and efficiency by optimizing the concentration factor,
the heat sink thermal resistance, and the TEG area. A predicted cost
reduction of about 38% is found at 1900 suns for realistic TEG figures
of merit. Unfavorable conclusions were reached instead for nonconcentrated
Si-based PV cells[20] where, compared to
stand-alone PVs, an optimal levelized cost of energy higher by 8.7–90%
was computed.A different approach to profitability evaluation
was suggested
by the present authors,[21] accounting for
the concurrent cost increase due to the TEG stage and the decay of
PV performance due to the heating of the PV stage based upon the physical
characteristics of PV and TE materials only. In this paper, we will
fully develop such a methodology. Its main merit is that it makes
economic analyses an additional tool to be used to scout suitable
PV-TE material pairs for HTEPV generators. Although the design of
efficient HTEPV generators critically depends on a number of factors,[22] active materials obviously play a pivotal role.
We anticipate that the PV material governs the power effectiveness
of any hybridization. As mentioned, in most hybridization schemes,
the PV cell temperature raises, so the pairing of a PV stage with
a TE stage implies either compromises or innovative layouts to be
found. While the PV efficiency is commonly large at lower temperatures,
TEGs require high temperatures at their hot side and large temperature
differences across their legs. This notwithstanding, inorganic PV
materials may disclose realistic opportunities of successful hybridization
leading to increased total efficiencies. Specifically, performances
of large-gap PV materials are less sensitive to the increased temperatures
needed by pairing with TEGs. Therefore, concentrated solar cells based
on a-Si, Cu2ZnSnS4 (CZTS), copper gallium selenide
CuGaSe2, and GaInP may be sensibly expected to be suitable
for hybridization, along with stabilized perovskite solar cells. Instead,
this rules out some common PV systems (e.g., polycrystalline silicon).
Furthermore, low-cost, nontoxic materials with acceptable ZTs at moderate-to-low
temperatures are needed for the TE legs.Materials issues are
however not limited to active parts of the
two solar stages. As an example, suppressing thermal cross-talk among
TE legs is of paramount relevance in solar thermoelectric generators
(STEGs),[23] and very low emittances from
leg lateral surfaces also remain important in HTEPV generators. On
the PV side, effective heat mirrors limiting the upward radiative
dissipation of heat were shown to remarkably enhance the overall efficiency
of TEGs.[24] Furthermore, heat dissipation
at the TEG cold side, playing a key role in any TEG, is a formidable
challenge still nowadays, calling for innovative materials and advanced
surface finishing.[25,26] However, differently from PV
and TE materials, such materials issues do not set conflicting requirements
when designing HTEPV cells.
Cost Structure
Economic
convenience of a renewable power technology is set, in
general terms, by the capital cost of the generator, namely, the cost
of the harvester (including the electronics needed to make the electric
power output useable) and of its installation. Therefore, power cost
(USD/W), defined as the electric power generated divided by the capital
cost of the plant, is the basis of comparison among competing renewable
energy technologies. Economic convenience of a power technology integrating
an existing renewable power source should be evaluated both in comparison
to existing renewable technologies and with respect to all power sources,
including nonrenewable ones.In what follows, the analysis of
capital costs of HTEPV generators
will be split into installation costs and costs of the HTEPV components.Power cost is however only a part of the analysis. PBP measures
the profitability of a renewable power technology compared to the
overall market of power sources (including nonrenewable). PBP is defined
as the period of time needed for the energy obtained by the power
plant to compensate the plant capital costs. Therefore, PBP depends
upon the current energy price. For a technology to be profitable,
PBP must be shorter than the average lifetime of the power plant.
Therefore, PBP will also be evaluated.
Cost
Structure of TEGs
The analysis
of the economic sustainability of TEGs has been the subject of several
papers.[27−30] Among them, the approach developed by Yee et al.[30] is especially suitable for the forthcoming analysis of
the HTEPV economic convenience. As observed, optimization of a TEG
on its efficiency followed by the search for the lowest possible system
cost forces the analysis to pursue the smallest possible cost at the
highest peak power while neglecting scenarios where lower peak powers
might lead to lower power costs. Therefore, the overnight capital
costs were evaluated. Here and in the rest of this paper, we will
use double and triple primed symbols to refer to areal and volume
costs, respectively. Volumetric module costs CTEG‴ (USD/m3), i.e., costs of TEG components scaling with the module volume
(e.g., the TE material), were combined with areal module costs CTEG″ (USD/m2), i.e., costs of TEG components scaling with
the module contact area (e.g., the alumina insulators), and with heat
exchanger costs cHX (USD/(W K–1)). Total TEG cost CTEG accounted towhere F is
the filling factor, defined as the ratio between the total TE leg
area and the TEG footprint area STEG, L is the leg length, and U is the heat
transfer coefficient. The power output PTEG reads[30]where κ and σ are the thermal
and electric conductivities of the leg elements (assumed to be the
same for the p and n elements), αpn ≡ αp – αn (with αp and
αn being the Seebeck coefficients of the p and n
legs), and ΔT is the temperature difference
between the two heat reservoirs. Therefore, eqs and 2 immediately return
the cost per unit powerYee et al. showed that eq admits no global minimum on F and UL/κ. Nonetheless, the χTEG(L, F) surface displays
a narrow region around the line F = UL/(2κ) where χTEG takes low values, resulting
from a competition between costs and TE performances.[30] For smaller L (at constant F), costs decrease along with the temperature drop across the device,
so that power output also decreases. Furthermore, a characteristic
point existsbelow which any further decrease of L and F has only marginal benefits on χTEG. Exemplar values for CTEG″, CTEG‴, and CHX lead to optimal χTEG around
60 USD/W, including the large contribution arising from the heat exchanger.Of special relevance to hybrid solar generators is the scenario
wherein no heat exchanger cost adds up. Thus eq simplifies toManifestly enough, neither a characteristic
point nor a line of minimal cost exists any longer for CHX = 0 in eq . It is instead remarkable that lower χ*TEG may
be achieved for leg lengths L shorter than the thermal-impedance-matching
value 2Fκ/U, showing how more
favorable power costs may be obtained for TEGs operating under nonoptimized
conditions. Economic convenience stems from lower material costs overcompensating
the reduced power output.
Cost Structure of PV Harvesters
Cost
structure of PV plants, a current deployed technology, is paradoxically
more complex to analyze than that of TEGs, namely a forthcoming technology.
This is basically due to the rapid changes of the cost structure,
redistributing costs across diverse technology elements. We will focus
this analysis on rooftop (domestic) solar plants, with typical power
outputs below 20 kW. In this class of harvesters, PV capital costs
may be split into four main components, namely, PV materials, substrates
(commonly glass), labor, and OEM costs. The dominating technology
based on polycrystalline silicon reports rooftop module costs of 0.85
USD/W, to which about 1.00 USD/W must be added due to the balance-of-system
(BoS) costs, accounting to 0.12 USD/W for the inverter, 0.08 USD/W
for wiring and transformers, 0.05 USD/W for electrical installation,
0.002 USD/m2 for site preparation (strongly dependent on
the geographical location), mounting, and structural installation,
with the complement to the BoS due to business costs.[31] Business costs will be disregarded in what follows, since
we focus on overnight capital costs only. Total costs and cost structures
quite differ for other PV materials, although module costs quite line
up to polycrystalline silicon modules. For CuInGa1–Se2 (CIGS),
module costs are reported to range from 0.63 to 0.69 USD/W, while
CdTe modules are quoted at 0.49 USD/W.[31,32] Slightly lower
costs imply lower efficiencies (10–13% for CIGS, 16–17%
for CdTe compared to 19–20% for polycrystalline silicon) that
require larger module areas per output watt. In the forthcoming analysis,
we will split BoS costs as costs per watt χBoS,1 (including
the inverter, wiring, transformers, and electrical installation) and
areal costs CBoS,2″ (encompassing site preparation, mounting,
and structural installation).
Projected
Cost Structure of Hybrid Solar Harvesters
Based on the framework
set up for TEG and PV modules, economic
convenience of hybrid solar harvesters may be evaluated.A full
economic analysis of HTEPV generators is a very complex task for several
reasons. First of all, layouts to pair PV and TE stages are extremely
diversified, encompassing direct thermal contact, thermal concentration,
and solar-splitting strategies. In addition, power output from HTEPV
critically depends on many subtle constructive details.[22,33] This was clearly proved for STEGs, where improvements of power outputs
by a factor of 3 were achieved by accurately minimizing thermal shunts
in the generator.[34] Therefore, any economic
estimation based upon computational models might easily turn out to
be overoptimistic, especially in view of the low technological maturity
of HTEPV technologies. Furthermore, TEG market is still modest and
mostly limited to Bi2Te3-based systems, so that
cost estimates might turn out to be prospectively inaccurate. This
said, hybrid harvesters must meet two requirements to be profitable.
On the one side, their power costs must be lower than the power cost
of their associated PV technology, so that hybridization leads to
an economic advantage for the final user. Furthermore, and independently,
power costs must also be competitive with those of leading renewable
technologies, currently set forth by polycrystalline silicon (pcSi)
PV plants.[35]In what follows, we
will assume that the HTEPV structure may be
summarized as made of a PV cell in contact with a TEG—either
directly or through a layer, referred to as the solar selective absorber
(SSA), that acts as a black body converting all electromagnetic radiation
transmitted by the PV cell. We further assume that the whole device
be suitably encapsulated, so as to prevent convective heat dissipation.
Furthermore, radiative dissipation from the PV cell is fully blocked
by a suitable heat mirror, namely, a coating on the part of the encapsulating
package facing the sun that reflects electromagnetic radiation emitted
by the PV cell (mostly in the infrared range) while transmitting solar
radiation.[36] This is a key point that must
be stressed. Often, radiative dissipation is disregarded in the thermal
budget analysis. In the absence of heat mirrors, instead, a major
amount of heat is irradiated, even at relatively low temperatures
(cf. Supporting Information and ref (37)). Therefore, effective
heat mirrors are not needed to dissipate a significant fraction of
heat that may be converted by the TEG stage. The harvester is completed
by a heat exchanger, dissipating the heat rejected by the TEG.To compute the projected power costs of HTEPV harvesters, we will
move from the following assumptions.where G is the solar input
power density, γ is the optical concentration, and ηHTEPV is the efficiency of the HTEPV harvester;where χPV is the PV cost
per watt and ηPVM is the efficiency of the PV module;where SHX is its
area and cHX units are USD/(W/K).The costs of the BoS, CBOS, will be split in two parts: one, roughly proportional
to the power output, will account for the electronics (inverter, wiring,
transformers, and electrical installation), while costs encompassing
site preparation, mounting, and installation will be set proportional
to the module footprint. ThusThe cost of the PV
cell will scale
with the nonhybridized PV power output, that is, with its area SPVThe cost
of the TE stage will be computed
in view of its areal and volume costs through eq ;Additional costs will arise from the
SSA, scaling with its area SSSACosts for the heat
exchanger will depend
on the heat flux to be dissipated through its heat transfer coefficient U and the technology it is based upon, namelyTherefore, assuming hereafter SPV = STEG = SSSA = SHX ≡ Sthat compares to the cost of the nonhybridized
PV moduleCost parameters used as a reference in this
paper are displayed in Table and refer to silicon PV cells and Bi2Te3TEGs. The effect of their variations for alternate materials will
be analyzed in Section . The choice of polycrystalline silicon PV modules as a cost
reference also lets fulfill the second and more general requirement
that HTEPV cells must be economically viable when compared to the
standard solar technology, which is dominated by (nonhybridized) polycrystalline
silicon.
Table 1
Cost Parameters Used in the Evaluation
of Economic Conveniencea
In this section, efficiency
and power output for hybridized (HTEPV)
and nonhybridized (PV) solar harvesters will be computed. We would
like to stress once again that the present effort to compute power
outputs for a yet-to-be technology is unavoidably frustrated by many
factors ruling the actual efficiency of hybrid solar harvesters. Thus,
the computations we propose are to be meant as a best-case evaluation
for domestic (rooftop) solar harvesters. Therefore, they should be
used as a no-go criterion, namely, showing when pairing between PV
and TE stages may not be profitable, even in the absence of any factor
further degrading the efficiency gain.
HTEPV
Harvesters
To estimate the
power output of the HTEPV harvester, it is convenient to rewrite the
TEG power output eq by correlating ΔT with the heat flux through
the TEG. Neglecting any lateral heat dissipation (due to the encapsulation)
as well as the (small) fraction of heat converted into electric power
by the TEG,[39] the temperature drop across
the TEG accounts to ϕ′/KTEG, where ϕ′ is the heat flux input from the PV stage
into the TEG and KTEG is the thermal conductance
of the TEG. It simply computes toIt may be worth to stress that the previous
equation deliberately neglects many possible sources of heat dissipation,
including TEG lateral dissipation (due to the encapsulation) and the
heat re-emitted by the PV upward[22] (namely,
assuming unitary heat mirror efficiency[37]). Therefore, ϕ′ is a best-case estimation of the real
heat flux converted by the TEG, in accordance with the general purpose
of this work.For a TEG made of N legs of length L and cross-section A, if κ is the
thermal conductivity of the legs (assumed equal for the p and n legs),
thenwhere we used the relation F = NA/S. The power output
of a
TEG is PTEG = αpn2ΔT2/(4RTEG) where the electrical resistance RTEG reads 4L/(σSF), with the factor 4 accounting for the series electrical connection
of the legs.[30] ThusIn view of eqs and 13,
the power output may
be rewritten asNote that the formula differs from that obtained
by Yee et al.[30] since here the computation
is carried out by setting the temperature of the hot side along with
the heat flux at the cold side. It is also remarkable that the power
output is formally independent of the thermal resistance of the heat
exchanger, which enters instead to set the temperatures T1 (and T2) of the hot and
cold sides of the TEG.The efficiency of the single-junction
PV stage along with its dependence
on γ, Eg, and its technological
readiness is computed according to standard models (cf. Supporting Information for details). It accounts
towhere z ≡ eγEREΦ↑/r0, ERE is the external radiative efficiency,[40]e is the Neper’s number, r0 is the radiative recombination eq S1, Φ↑ is the flux
of photons with E > Eg at 1 sun eq S6, kB is the Boltzmann constant, and W(z) is the Lambert function. Note that ηPV depends on TPV. Replacing it into eq , the temperature difference TPV – Ta (where Ta is ambient temperature) may be obtained by
using Fourier equation under the sensible assumption that the temperature
of the PV cell is equal to that of the hot side of the TE stage, namely, TPV = T1. Since(with Ktot–1 = KTEG–1 + KHX–1), replacing KHX with US, one obtainsthat may be used to compute TPV.Assuming that each generator provides
its output to an independent,
optimized electric load, the total power output reads PHTEPV = PPV + PTEG = ηHTEPVSGγ
and leads toso that
Nonhybridized Photovoltaic Harvesters
For
the standard PV module, computations simplify. Fourier equation
reads in this caseThus, the power output iswhile the efficiency is the same as reported
in eq , namely,although it must be emphasized that in this
case, TPV is lower than in the hybrid
device due to the lack of the TEG and its contribution to the total
thermal resistance.
EcCI
In a previous
paper,[37] one of the present
authors introduced an energetic convenience index to evaluate the
energetic advantage of pairing PV and TEG generators into a hybrid
solar harvester. In what follows, an EcCI will be defined and analyzed
to establish the economic profitability of such a coupling.Before proceeding to the analysis of the EcCI, some preliminary
comments may be in order. Figure shows how various components enter into setting the
HTEPV cost for an exemplary system. Based on eq and for F = 0.1, L = 0.1 cm, and ηHTEPV = ηPVM = 0.2, one may note how the dominating cost factors are in all cases
those of components which are not directly related to the harvesters,
since BoS and the heat exchanger mostly set the power costs.
Figure 2
Details of
the cost structure of HTEPV harvesters for nonconcentrated
(γ = 1) and concentrated (γ = 5) solar converters equipped
with exemplary heat sinks. Heat transfer coefficients range from U = 20 W/m2K (air cooling) to U = 1000 W/m2K (high-efficiency water cooling).
Details of
the cost structure of HTEPV harvesters for nonconcentrated
(γ = 1) and concentrated (γ = 5) solar converters equipped
with exemplary heat sinks. Heat transfer coefficients range from U = 20 W/m2K (air cooling) to U = 1000 W/m2K (high-efficiency water cooling).The power cost (USD/W) of the HTEPV harvester reads eq where we neglected the
truly marginal contribution
coming from CBoS,2″.The corresponding power cost
for the nonhybridized PV module is
instead eqAn EcCI
is defined asHybridization is profitable
for EcCI >1.
Results and Discussion
HTEPV Optimization and Technological Constraints
The
EcCI is a multivariable function depending on material parameters
(Z, Eg, and the ERE),
on constructive specifications (L, F, and U), and on the operative conditions (γ).
Optimization (maximization) of EcCI on the constructive parameters
leads therefore to maximal profitability. It is easy to verify that
χHTEPV (eq ) is a decreasing, unbound function of L/(κF). In most cases, however, it is technology to set limits
to both L and F values since leg
lengths in excess of 1 cm are possibly too critical to manufacture
and use, and filling factors larger than 0.1 would induce large radiative
interleg cross-talking.[30] Furthermore, EcCI is found to admit a maximum
for large U values. However, such values largely
exceed any realistic capability of heat dissipation by conventional
exchangers. Thus, a limit of 104 W/m2K has been
stipulated in all computations. As a result, optimized EcCI ultimately
depends on the materials parameters and on solar concentration only.
Consequently, we split optimal EcCI analysis into two major cases,
namely, concentrated and nonconcentrated harvesters.
EcCI at Standing Technology and Costs
Inspection of Figure shows that for nonconcentrated
(γ = 1) HTEPV generators, a
window of convenience shows up for wide-gap PV materials and top-performing,
state-of-the-art TE materials (with Z = 0.004 K–1). Beyond the real availability of TEGs with such
high performances, in all cases, the increase of economic profitability
is truly marginal. For realistic Z values of ≈0.003
K–1, EcCI is larger than unity only for Eg > 2.2 eV in technologically mature PV materials
(ERE = 1 × 10–2). For less optimized PV absorbers,
instead, EcCI exceeds 1 only for Eg >
2.4 eV. This is sensible since for low EREs, the heating of the PV
stage is more severe, and larger energy gaps are needed to make the
reduction of PV efficiency less severe. The dominating role of the
PV stage at low EREs and current Z values is confirmed
considering that, instead, at (today unrealistically) large Zs, EcCI >1 for almost any Eg value since extremely efficient TEGs would enable TE power generation
overcompensating the decrease of PV efficiency.
Figure 3
Contour plots of the
optimized EcCI of nonconcentrated hybrid solar
harvesters for ERE = 1 × 10–2 (top) and 1 ×
10–6 (bottom) as a function of the PV energy gap
and of Z. Cost parameters are as reported in Table .
Contour plots of the
optimized EcCI of nonconcentrated hybrid solar
harvesters for ERE = 1 × 10–2 (top) and 1 ×
10–6 (bottom) as a function of the PV energy gap
and of Z. Cost parameters are as reported in Table .For concentrated solar harvesters, analyses will be limited to
the case of γ = 5, a typical concentration rate for rooftop
solar plants.In concentrated generators, EcCI shows slightly
larger margins
(Figure ). For currently
realistic TE efficiencies, EcCI > 1 for fully engineered PV materials
(ERE = 1 × 10–2) requires Eg > 2.1 eV. As in the nonconcentrated case, less-performing
PV absorbers (ERE = 1 × 10–6) need instead
larger energy gaps (>2.3 eV) to attain EcCI > 1.
Figure 4
Contour plots of the
optimized EcCI of 5-sun-concentrated hybrid
solar harvesters for ERE = 1 × 10–2 (top) and
1 × 10–6 (bottom) as a function of the PV energy
gap and of Z. Cost parameters are as reported in Table .
Contour plots of the
optimized EcCI of 5-sun-concentrated hybrid
solar harvesters for ERE = 1 × 10–2 (top) and
1 × 10–6 (bottom) as a function of the PV energy
gap and of Z. Cost parameters are as reported in Table .For polycrystalline silicon, a key player in the PV technology,
it follows that in all cases, one computes EcCI < 1 for Z = 0.003 K–1. Rather, a wide-gap PV material
such as CdS (Eg = 2.4 eV) would benefit
from PV-TE pairing, with EcCIs ranging from 1.003 (low ERE, γ
= 1) to 1.01 (low ERE, γ = 5), reaching 1.026 and 1.050 for
high ERE and PVs at γ = 1 and 5, respectively. It should be
stressed that an EcCI of 1.05, although seemingly meager, is instead
equivalent to an efficiency enhancement of 5% of solar conversion
efficiency at a constant price. Thus, although profit margins are
limited, one may conclude that rooftop concentrated solar harvesters
might be anyway a possible driver to support the initial development
of the HTEPV technology using novel, low-cost wide-gap PV materials—with
an advantage when moderate solar concentration is considered. This
is especially interesting if one considers that rooftop panels are
among the most rapidly expanding market niches in the sector of renewable
energies and that profitability may be eventually enhanced by triple
cogeneration, with sanitary hot water being made available in addition
to electric power production.[41]
EcCI Enhancement following Cost Rebates
It is interesting
to consider how a prospective cost rebate of
single parts of the technologies involved in HTEPV would impact the
EcCI.Numerical estimates show that reductions up to 50% of
volumetric module costs (CTEG‴) would lead to an absolute EcCI
improvement of ≈0.004. Even smaller is the impact of a similar
reduction of areal costs (CTEG″), causing EcCI to increase by
≈0.001. In both cases, changes of EcCI are comparable independently
of the PV energy gap, ERE, and solar concentration. It is instead
possibly unexpected that savings up to 50% of exchanger costs per
W/K (cHX) would worsen EcCI—by
about 0.04 for γ = 1 and by about 0.005 for γ = 5. This
is basically due to the fact that savings are more relevant to PV
modules. Thus, even if HTEPV costs would obviously decrease, nonetheless
they would decrease more in nonhybrid PV modules, and therefore EcCI
would worsen. Stated differently, a rebate of the exchanger cost would
improve EcCI only if the TE module had a significantly larger efficiency.
EcCI for Perovskite-Based Solar Cells
Perovskite-based
solar cells (PSCs) display a remarkably different
dependence of their efficiency upon temperature and solar concentration
as the underlying physics of solar conversion in PSC somewhat differs
from ordinary solar cells.[42] Despite well-known,
yet partially solved issues with their stability,[43,44] PSCs are nonetheless taking a major role in solar conversion and
their possible pairing with TEGs is therefore worth to be considered.Recent experimental analyses[45,46] have shown that the
PSC efficiency, instead of decreasing, increases with temperature,
reaching a maximum in the temperature range 45–55 °C,
then rapidly dropping at higher temperatures. This is consistent with
a tetragonal-to-cubic phase transition reported for methylammonium
lead iodide perovskites.[47−49] Furthermore, the efficiency was
shown to increase with optical concentration (from 1 to 5 suns).[50] Thus, EcCI was computed using data for a specific
PSC[46,50] adding the constraint that TPV < 323 K. Figure shows that in this case, EcCI is remarkably larger
than unity at any solar concentration even at currently reachable Z values. Since estimates of cost parameters for PSCs are
largely variable, we inherited the same cost parameters used for the
whole analysis, namely, those typical of silicon solar cells (Table ), to validate its
convenience also compared to current PV polysilicon technologies.
Nonetheless, rebates or cost increases up to ±50% do not change
the conclusions, showing that perovskites have a great potential for
TE hybridization, as anticipated by several scholars.[45,51−53]
Figure 5
Contour plots of the optimized EcCI of an exemplar perovskite
hybrid
solar cell as a function of the solar concentration γ and of Z.
Contour plots of the optimized EcCI of an exemplar perovskite
hybrid
solar cell as a function of the solar concentration γ and of Z.
PayBack
Period
For the sake of completeness,
it should be mentioned that an additional index of affordability for
PV cells is the PBP, namely, the period of time needed to pay back
the capital cost. PBP should not be confused with the energy payback
period, which counts instead the period of time needed to generate
the amount of energy spent to build the PV system.[54] While PBPs are currently cut down by taxation and other
supporting benefits, true PBPs are easily computed to be around 20
years for both domestic and industrial solar power plants.[55] In hybrid solar harvesters, PBPs scale with
EcCI and with the ratio of HTEPV to PV capital costs. In the case
of concentrated solar cells, this leads to an increase of PBP of less
than 5% in the worst case. Since TEGs are known to have a very extended
lifetime, much larger than that of the solar cells, hybridization
retains acceptable PBPs even in the absence of favorable taxation.
Conclusive Remarks
The results reported
in the present analysis outline the windows of expediency opened by
research on hybrid solar harvesters. Specifically, the criteria advanced
in the previous section enable to address technology exploitations
toward a well-defined applicative context and market. While for nonconcentrated
solar harvesters, TE efficiencies are too small to enable significant
margins of profit, hybridization applied to civilian concentrated
solar converters is found to be viable and convenient.This
conclusion is relevant both to PVs and to TEs. From the viewpoint
of novel PV materials, hybridization may shorten their time-to-market,
compensating for the relatively low EREs. Concerning TEs, instead,
their deployment in conjunction with well-established and socially
accepted PV technologies might support the overall technology readiness
of TEGs, promoting the development of new materials capable of acceptable
efficiencies at intermediate temperatures.[15,56]A final point is possibly worth to be stressed again. When
applied
to blue-sky research, EcCI should always be used as a no-go criterion. Equation , although accounting
for materials quality through the ERE, fully neglects thermal shunts
and other dissipation mechanisms in the TEG stage and additional PV
losses such as those due to radiation scattering and re-emission in
the PV stage.[37] More accurate estimations
are instead possible for existing technologies, where EcCI is computed
directly through eqs and 25.
Summary
and Conclusions
A scheme to evaluate the profitability of
harvesters based upon
generic PV and TE materials operated at small solar concentrations
has been developed.The comparative analysis of the current
and perspective possibilities
provided by the hybridization of TE and single-junction PV generators
has shown the existence of some windows of economic convenience. Specifically,
it has been shown how at current PV costs and for realistic TE efficiencies,
hybridization might be viable for rooftop concentrated solar harvesters
only. Far more promising scenarios are envisaged with PSC-TE hybrid
cells.The overall landscape we outlined should address research
along
two directions. Further to the prospective that would be opened by
the availability of TEG modules with higher efficiencies, HTEPV could
enable the concurrent use of TEs and low-efficiency, lower-cost PV
materials, promoting at one time the diversification of PV materials
and reopening application interests toward age-old materials such
as a-Si or Cu2O. Hybridization would support
their technological development (increase of ERE) by anticipating
their commercial viability to a widely expanding market as that of
domestic solar harvesting.On the other side, perovskites—and
possibly other new PV
materials showing a temperature range wherein the PV efficiency remains
constant or even increases with temperature—open great prospects
for a beneficial and cost-effective TE hybridization.
Authors: Daniel Kraemer; Bed Poudel; Hsien-Ping Feng; J Christopher Caylor; Bo Yu; Xiao Yan; Yi Ma; Xiaowei Wang; Dezhi Wang; Andrew Muto; Kenneth McEnaney; Matteo Chiesa; Zhifeng Ren; Gang Chen Journal: Nat Mater Date: 2011-05-01 Impact factor: 43.841
Authors: Eui Hyuk Jung; Nam Joong Jeon; Eun Young Park; Chan Su Moon; Tae Joo Shin; Tae-Youl Yang; Jun Hong Noh; Jangwon Seo Journal: Nature Date: 2019-03-27 Impact factor: 49.962
Authors: Lauren M Garten; David T Moore; Sanjini U Nanayakkara; Shyam Dwaraknath; Philip Schulz; Jake Wands; Angus Rockett; Brian Newell; Kristin A Persson; Susan Trolier-McKinstry; David S Ginley Journal: Sci Adv Date: 2019-01-25 Impact factor: 14.136