Mateo U.
de Vivanco‡
*a,
Matthias
Zschornak‡
a,
Hartmut
Stöcker
a,
Sven
Jachalke
a,
Erik
Mehner
a,
Tilmann
Leisegang
ab and
Dirk C.
Meyer
a
aTechnische Universität Bergakademie Freiberg, Institut für Experimentelle Physik, Leipziger Straße 23, 09596 Freiberg, Germany. E-mail: mateo.devivanco@physik.tu-freiberg.de; Fax: +49 3731 39 4314; Tel: +49 3731 39 3341
bSamara State Technical University, Samara Center for Theoretical Materials Science, Molodogvardeyskaya Str. 244, 443100 Samara, Russia
First published on 26th June 2020
Pyroelectrocatalysis is the conversion of thermal energy directly into chemical energy. On the background of renewable energies and the need for efficient industrial processes, the conversion of waste heat into hydrogen is of special relevance. Since the reported thermodynamic cycles for pyroelectric energy harvesting do not fit the conditions encountered in a reactive medium such as water appropriately, we describe a new thermodynamic charge-voltage-cycle characterised by fixed upper and lower potentials. These threshold potentials comprise the redox potential of the reaction of interest – here the hydrogen evolution reaction – as well as an overpotential mainly dictated by the temperature-induced bending of electronic bands in the pyroelectric semiconductor. Because polarisation changes below the threshold are useless for chemical reactions, material properties as well as process conditions have to be chosen accordingly. In particular the particle size along with the temperature difference are shown to determine the conversion efficiency.
On the other hand, low-grade waste heat usually has temperatures below 100 °C and its usable extractable work tends to be modest. At the same time, it accounts for the bigger share on rejected energy with approx. 63%.1 Low-grade waste heat originates mainly from electricity generation, and to a lower extent from transport and industry branches such as the food and drink industry.3 Beside the Rankine cycle and the thermoelectric effect, the pyroelectric effect poses a suitable technology for its recovery. As will be described in this article, water splitting – which belongs to the 100 radical innovation breakthroughs for the future – is one possibility for waste heat recovery.4
The spontaneous polarisation s of pyroeletric materials is a function of temperature. Upon a temperature increase, either the atoms in the crystal are displaced or the concerted orientations of the dipoles are randomised, depending on the type of material. As a result the dipole moment shrinks and an induced charge imbalance results at the interface to the medium surrounding the pyroelectric.
The polarisation difference d directly depends on the magnitude of the temperature change dT. The proportionality factor
is named the pyroelectric coefficient (eqn (1)), and is a temperature-dependent material property which can be measured.6
d![]() ![]() | (1) |
dQ = AdP = Ap(T)dT | (2) |
The described process is the basis for a number of pyroelectric harvesting devices. They differ in the way in which the pyroelectric material is thermally contacted. Leng et al.10 switched a pyroelectric between a hot and a cold water stream. With the energy generated they were able to light up LEDs. Lee et al.11 pressed the pyroelectric element onto a hot and a cold plate successively. Other authors decided to save the energy required for switching by designing self-moving devices. Such is the example of a bimetal plate which bends to contact the hot or cold plate alternately due to the different thermal expansion coefficients of the two metals.12 In addition, a system converting solar and wind energy into temporal temperature differences, as required for pyroelectrics, by use of a light chopper was reported.13 The cited articles are examples and by no means a comprehensive list.§
Such pyroelectrocatalytic reactions have already been reported. The generation of reactive oxygen species was studied in the context of dye oxidation14–16 as well as bacteria inactivation.14,17 More recently, the feasibility of pyroelectrocatalytic hydrogen production was demonstrated. Kakekhani and Ismail-Beigi18 theoretically predicted the formation of hydrogen when cycling a ferroelectric across or underneath its critical temperature: a temperature – and thus potential – change affects the thermodynamic stability of the material surface. As a result, the surface undergoes stabilisation with its surrounding medium through chemisorption; hydrogen emerges as a result (eqn (3)).
![]() | (3) |
Several authors have confirmed the formation of hydrogen experimentally in two set-ups: externally positioned pyroelectrics, which collect pyroelectric current to drive an electrolyser19,20 (principle shown in Fig. 1) and internally positioned pyroelectrics, where chemical reactions take place directly on the pyroelectric surface (principle shown in Fig. 2).16
The existing theoretical background on pyroelectricity (based on eqn (2)) is straightforward and effective in describing energy harvesting. However, it has major boundaries when it comes to describing chemical reactions. According to eqn (2) even the smallest temperature stimulus would displace charge and enable chemical conversions. Kakekhani and Ismail-Beigi18 already pointed out the necessity of a minimum variation of chemical potential and thus critical temperature window in order to realise pyroelectrocatalysis.
The thermodynamic cycle for pyroelectrics bearing the highest energy density was developed by Olsen et al.21 (also refer to Bowen et al.22). It is a four-step process which, in electric analogy to the heat engine, produces work from variations of polarisation (charge) in an external electric field (voltage). A schematic of the cycle can be found in Fig. S1a (ESI†). Lefeuvre et al.23 and Sebald et al.24 described the synchronised electric charge extraction, short SECE, consisting of four partial processes of varying the temperature to charge the pyroelectric and subsequently releasing the charge.
Although these cycles are veracious descriptions of the pyroelectric process, they do not represent the situation of chemical energy harvesting i.e. pyroelectrocatalysis well. When e.g. very small pyroelectric particles should harvest chemical energy, connecting the pyroelectric to a resistor is impossible or undesired. The reactive medium would close the circuit through ion migration. In the simplest setup, no external field would be applied, leaving us with the resistor cycle (Fig. S1b, ESI†). Since the work performed in a charge-voltage diagram depends on the actual path taken, a new cycle describing the exact path must be defined. Most recently, Schlechtweg et al.25 proposed a time-dependent model to predict hydrogen yields from pyroelectrocatalysis. They describe the dynamics of pyroelectrocatalysis by modelling the process electrically as an RC-circuit with faradaic processes. Up to now it appears to be the best model describing pyroelectrocatalysis, albeit it neither accounts for material specifics nor does it regard interface properties in detail. Thus, the accuracy of their predictions is limited.
The present paper deals with formal aspects of pyroelectrocatalytic energy harvesting. We develop a physical model to explain the occurrence of chemical reactions on pyroelectric surfaces. Furthermore we propose an appropriate thermodynamic cycle, i.e. one that does not require external electric fields and where work is a function of the real pyroelectric potential in a chemically labile medium. Estimations of the efficiency of the cycle are presented. In addition we study the influence of various operational and material parameters on the chemical output and compare simulation results to real experiments reported in literature.
Let us call the voltage difference required for chemical reactions to take place the threshold voltage, Vth. Charge build-up from zero to this threshold reaction potential is not available for chemical reactions (high electric resistance of the medium, capacitive regime). Once Vth has been reached, the next unit charge activated by an infinitesimal temperature increase (Tn−1 < Tn) will not increment the surface potential further, because it will have the appropriate energy for becoming operative within the fluid causing a chemical reaction (drop of the ohmic resistance of the medium, selective faradaic regime).
In particular, the cycle describes the electrochemical energy exchange for pyroelectrics with surfaces that are stable within the parameter regime of operation. From an electronic point of view, the density of states of the pyroelectric is inert with respect to the accumulated threshold voltage, so that apart from physisorption effects redox reactions will take place at the surface. In that way, this model is more general than that presented by Kakekhani and Ismail-Beigi18 for catalytic surfaces.
![]() ![]() ![]() | (4) |
The pyroelectrocatalytic threshold cycle (PTC) can be read as follows (↑: rise/↓: decrease/=: constant):
• 1: E = 0. A pyroelectric at the low temperature Tcold has a certain polarisation P1 and is electrically compensated by free surface charges D1 = −P1.
• 1 → 1′: T↑, P↓, E↑, D=. A charge imbalance in the order of Qth,c (threshold charge at low temperature, c stands for ‘cold’) is thermally induced in the form of surface-bound charge by the polarisation decrease without charge transfer. The potential difference rises to +Vth. The field increase matches the polarisation decrease and D remains constant at D1.
• 1′ → 2: T↑, P↓, E=, D↓. The charge imbalance induces electrolysis. The electric potential is maintained constant, as the shrinking Ps is compensated by the reacting charges. The electric potential moves along a sawtooth-type path at +Vth, as shown in the zoom inset of Fig. 3. The magnitude of dV is estimated to be: dV = dQ/C = e/(ε0εra) ≈ 10−19/(10−11 × 102 × 10−6) = 10−4 V for particle sizes a in the μm-range (refer to eqn (6)). A charge equal to Qth,c is transferred with the fluid. The amount of free surface charge Qf on the pyroelectric is reduced and so is the electric displacement.
• 2 → 3: T↑, P↓, E=, D↓. The temperature increase further induces charge imbalance and electrolysis. The charge Qrx (‘rx’ stands for ‘reaction’) is exchanged with the medium, reducing the amount of free surface charge of the pyroelectric and thus the electric displacement down to D3 at the highest temperature Thot (<TC). The electric field E and potential difference +Vth remain constant.
• 3 → 4: T↓, P↑, E↓, D=, Qf=. Cooling begins. The initial increase in polarisation cancels out the charge imbalance through surface-bound charges (intersect with D-axis). Then the pyroelectric surface potential is reversed to −Vth. The charge Qth,h (threshold charge at high temperature) is required for pole reversal. No chemical reactions occur (the free surface charge Qf remains constant).
• 4 → 5: T↓, P↑, E=, D↑. Charge imbalance induces electrolysis. The charge Qrx is transferred on the way to Tcold. The crystal sides where oxidation and reduction occur are reversed in comparison to the heating process (2 → 3). The displacement increases from D3 to D2.
• 5 → 2: T↑, P↓, E↑, D=, Qf=. Heating restarts. The decrease in polarisation reverses the charge imbalance caused by surface-bound charges by Qth,c. The pyroelectric surface potential is reversed from −Vth to +Vth at constant displacement D2. No chemical reactions occur.
Note that the path 5 → 2 is not equivalent to the two-step path first along the isotherm Tcold and then at constant potential +Vth over 1′ to 2. Even if both pathways require the charge Qth,c, work is a function of the actual path. As a consequence, the PTC (path 5 → 2) loses the thermodynamic work contained in the triangle under the isotherm (whose area will be approximately equivalent to the rectangle area Qth,c × 2Vth).
![]() | (5) |
![]() | (6) |
Fig. 4 plots the time courses of relevant parameters. We assume Thot remains below TC, so that no external field is required for repoling. In this aspect, the PTC resembles the resistive cycle (ESI†). According to eqn (2), the displaced charge Q follows the same course as the temperature and the generated current is proportional to its first time derivative (dQ/dt). In vacuum, the voltage follows the same course as the temperature, reaching Vvac and 0. However, in aqueous media it will reach Vth to remain constant afterwards due to the ongoing charge transfer during electrolysis. An electrochemical reaction (charge Qrx flowing into or from the medium) occurs only after Vth has been reached with a rate dQrx/dt proportional to dQ/dt. Starting from 0 V, it takes less time to reach Vth than starting at −Vth, so that reactions set in earlier on the first run than in all consecutive cycles (note the extra W1′ produced on the first run, processes 1 → 1′ → 2 in Fig. 3, as well as the extra effective charge Qrx,1′ in Fig. 4, which is lost to the threshold in subsequent runs).
![]() | ||
Fig. 4 Time courses of temperature excitation (sinusoidal profile), displaced polarisation charge Q, polarisation current dQ/dt, surface potential V, free surface charge Qf, electrolytic current into the medium dQf/dt = Qrx and moles of hydrogen H2 ∝ Wrx (cumulative) formed on a pyroelectric particle. Schematic representation. Digits 1–5 correspond to the cycle stages in Fig. 3. Starting from the potential, the time windows lost to the creation of the threshold (Qth,c/h) and those leveraged to produce chemical work (Qrx,c/h) can be seen on the x-axis (time). Areas of dQ/dt represent the work enclosed in Fig. 3. |
The pyroelectric material performing the PTC delivers electric work for the whole duration of the temperature change. Owing to the fact that the voltage remains pinned at Vth during charge transfer, the work can be calculated with eqn (7). The total thermodynamic work Wtot released by the displacement of bound charges with a total integrated charge of 2Qtot (= twice the charge per event) according to eqn (2) will be proportional to the total area enclosed between the isotherms and the threshold voltage [−Vth, +Vth] in Fig. 3 (eqn (8)). If p is nearly constant in the working temperature window, then the charge at the hot end Qtot,h (and thus the work Wh) will be as large as that at the cold end Qtot,c (and Wc). The pyroelectrocatalytic work Wpc (eqn (9)), chequered area, results from the actual course of the state of the pyroelectric within the DE-diagram. It has lost the ‘triangular’ areas merely used to create the threshold potential. Only a fraction of this pyroelectrocatalytic work is chemically stored in the form of reaction products Wrx (eqn (10)), represented by the blue areas. We need to estimate Qrx and Vth and analyse the factors which further reduce the extractable work when chemical energy – as opposed to total electric work – is targeted.
W = QV | (7) |
Wtot = Wh + Wc = Qtot,hVth + Qtot,cVth = 2QtotVth | (8) |
Wpc = 2QrxVth | (9) |
Wrx = 2QrxVrx | (10) |
For the estimation of the threshold loss factor, corresponding to a loss of polarisation current of the pyroelectric, we can first calculate the total charge Qtot displaced per particle during one event – a half cycle – by integrating eqn (2) and second subtract the fraction used for generating the threshold potentials Qth,h/c (eqn (11)). The displaced charge is given by eqn (12). For narrow temperature ranges, in which p is nearly constant, the result of integration can be simplified with the average pyroelectric coefficient as ·ΔT.
Qtot = Qth,h + Qrx,h = Qth,c + Qrx,c | (11) |
![]() | (12) |
To determine Qth,h/c, we need to relate charge and potential (capacitance). Displacing the charge Qth,h or Qth,c generates a potential difference of 2Vth at each particle (eqn (13)). Similarly, the total charge displaced for one event generates the maximum potential difference Vvac in a non-reactive medium such as vacuum (eqn (14)). r is the temperature averaged relative permittivity.
Qth = Qth,c/h = 2VthC = 2Vthε0εr(Tc/h)a | (13) |
Qtot = VvacC = Vvacε0![]() | (14) |
The charge loss associated with the generation of the threshold can now be expressed through the efficiency factor ηth (eqn (15)), which represents the vertical area loss between the isotherms at Tcold and Thot in Fig. 3. ηth depends on p and ε, as well as on the particle size a and ΔT. As a consequence, for a too small particle size, ΔT or p the whole cycle duration would be dead time and no reactions would occur. The same effect would be observed for a large εr.
![]() | (15) |
Vth = Vrx + Vop | (16) |
To sum up, Vn is taken only for the case Eg′ = 0 (eqn (17)). The overpotential efficiency term ηop – the horizontal component of area loss – is given by eqn (18).
![]() | (17) |
![]() | (18) |
![]() | (19) |
![]() | (20) |
![]() | (21) |
The next step is to calculate the efficiency of the thermal-to-chemical conversion. For this purpose, the net extractable chemical work WH2 is multiplied by the number of particles Nparticles and divided by the energy input qin, which is the thermal energy required to heat the pyroelectric. It is assumed that cooling the pyroelectric back to Tcold requires no additional energy input. Nparticles is given by the total volume of pyroelectric divided by the particle volume. With a material density ρ and total employed mass m, Nparticles is given by eqn (22)
![]() | (22) |
![]() | (23) |
Eqn (23) approximates the specific heat capacity cP as a constant P in the temperature window. The final efficiency of the heat-to-hydrogen conversion is shown in eqn (24).
![]() | (24) |
The study of eqn (24) reveals which parameters can improve the PTC hydrogen yield. The minuend relates to the total charge displaced pyroelectrically Qtot, whilst the subtrahend is associated to the threshold loss Qth. If the subtrahend is equal to the minuend, ηH2 becomes zero. That gives rise to a critical particle size (eqn (25)) below which no chemical reactions can take place. In that case, the small surface charges would be merely compensated by an electrochemical double-layer.
![]() | (25) |
Above acrit, the minuend in eqn (24) is greater than the subtrahend and the course of the efficiency goes up. By taking the partial derivative of ηH2 (eqn (26)), the optimum particle size aopt – yielding the highest efficiency – can be determined (eqn (27)). For values of a higher than aopt, the efficiency decreases due to a reduction of the active area for chemical reactions. Table 1 shows aopt for some common pyroelectrics.
![]() | (26) |
![]() | (27) |
Material | −![]() |
![]() |
E g (eV) | V th (V) | a opt (m) |
---|---|---|---|---|---|
BaTiO332 | 1.74 × 10−4 | 186 | 3.0833 | E g/2 | 1.2 × 10−6 |
LiTaO334 | 1.80 × 10−4 | 56 | 4.935 | E g/2 | 5.4 × 10−7 |
LiNbO336 | 8.20 × 10−5 | 30.3 | 4.7 | E g/2 | 6.2 × 10−7 |
Sr0.5Ba0.5Nb2O637 | 6 × 10−4 | 400 | 3.2838 | E g/2 | 7.7 × 10−7 |
PZT G-1306 (Gulton)36 | 4.60 × 10−4 | 1900 | 3.2539 | E g/2 | 4.8 × 10−6 |
PVDF40 | 2.20 × 10−5 | 8 | — | V n | 3.8 × 10−7 |
PMN-0.26PT41 | 1.80 × 10−3 | 643 | — | V n | 3.7 × 10−7 |
We can also obtain an expression for the maximum efficiency (eqn (28)) by inserting aopt in eqn (24). Clearly, for maximum efficiency p must be maximised and εr minimised. Unfortunately, both p and εr are mostly not decoupled from one another, so that it is difficult to increase p while keeping εr small.42
![]() | (28) |
Temperature also plays a crucial role in the generation of the threshold potential. From eqn (24) it is possible to calculate the minimum temperature difference necessary for reaction by equating Qtot to Qth (eqn (29)).
![]() | (29) |
In addition, it would be advantageous to minimise cP, as the same chemical conversion could be achieved with a reduced heat input qin. That would allow for quicker temperature cycling, too. Fig. 6 schematically shows the roles of the aforementioned parameters on the hydrogen yield.
![]() | ||
Fig. 6 Influence of particle size a, temperature difference ΔT, pyroelectric coefficient p, relative permittivity εr, density ρ, heat capacity cP and cycle duration 2te on (a) the efficiency of the chemical conversion ηH2 and (b) hydrogen generation per time. Schematic representation based on eqn (24) (a) and eqn (21) (b). Both equations are time-independent. However, high cycling times may lead to non-selective oxidation/corona discharge while low cycling times may be screened by sheer electrostatics (capacitive regime), thus reducing the hydrogen output.25 For a high H2 generation output, ΔT and p should be maximised, while keeping εr, ρ and cP low. |
![]() | (30) |
We set up the model on Python43 and calculated the outputs for all three hydrogen experiments reported in literature. The temperature excitation was assumed to be sinusoidal, as that shown in Fig. 4. The results are shown in Table 2. Eqn (12) represents the output without the PTC efficiency correction ηchem. The comparison between the columns experiment – retrieving the authors measurements – and PTC – showing the model outputs – reveals very good correlations in two of three cases. For black phosphorene, a unique pyroelectric in terms of a large pyroelectric coefficient with a tiny relative permittivity, a large amount of charge is displaced with temperature, so that it reaches a thermal-to-chemical conversion efficiency of ηH2 = 0.228 (refer to the ESI†). The model predicts the hydrogen outcome very accurately.
Material | ΔT (K) | Experiment (mol g−1) | PTC (mol g−1) | Eqn (12) (mol g−1) | η chem (—) | E g′ (eV) | FoM (—) | η H2 |
---|---|---|---|---|---|---|---|---|
Black phosphorene16 | 50 | 2.25 × 10−5 | 2.49 × 10−5 | 3.35 × 10−3 | 0.0074 | 0.6 | 2.09 × 101 | 2.28 × 10−1 |
BaTiO344 | 30 | 2 × 10−12 | 29 × 10−12 | 110 × 10−12 | 0.275 | 3.08 | 4.29 × 10−5 | 1.52 × 10−6 |
Ba0.7Sr0.3TiO331 | 25 | 1.30 × 10−6 | 0 | 3.36 × 10−7 | 0 | 0.25 | 3.04 × 10−4 | 0 |
For BaTiO3, the model predicts about one order of magnitude more than reported. The authors of this study provided neither blank measurements nor exactly quantifiable figures on reactor volume and number of cycles, so that it is not meaningful trying to improve the accuracy further. The following model parameters were employed: ηF = 1 (experiments will be likely to have a lower value), a particle size a = 200 nm (the particle size distribution reported was neglected). The predicted outcomes still represent an improvement of roughly one order of magnitude in comparison to eqn (12).
The case of Ba0.7Sr0.3TiO3 is different. Due to the very large value of r, the displaced charge is far from producing the electric potential Vth, required for reactions. The PTC expresses this insufficiency in form of a ΔTcrit = 498 K (see Table S1, ESI†) for the given particle size or alternatively a critical particle size acrit = 3.98 × 10−6 m for the temperature difference applied. Both parameters are 20 times larger than their experimental counterparts. Accordingly, the model predicts an outcome of 0 mol H2. We believe the experiment might have been affected by some level of interference with sonolytically produced radicals or with simultaneous piezoelectric phenomena (all pyroelectrics are piezoelectric). The PTC model is concerned only with pyroelectrocatalysis.
Essential parameters for the simulation are particle size and band gap. The small ηchem value for black phosphorene is a consequence of the very thin material layer used, which is just above the critical thickness for the creation of the threshold voltage. You et al.16 report a band gap narrowing for increasing number of phosphorene layers. The band gap varies between 1.8 eV in the monolayer and 0.3 eV in the bulk, being around 0.7 eV for a few layers. Tables S1 and S2 in the ESI† present all calculated values as well as the influence of the surface band gap on the outputs. To generalise, the broader Eg′, the more energy is used for reaching the threshold voltage, the less charge is available for chemistry.
This article introduces a new thermodynamic cycle, termed pyroelectrocatalytic threshold cycle, PTC, which models pyroelectrocatalysis more accurately. Its main characteristic is the need for a minimum threshold potential Vth which depends on the chemical reaction of interest on the one hand and the band structure of the pyroelectric semiconductor – and its surface – on the other hand. Before this potential is built up, no chemical conversion can take place and the thermal energy is lost. After the potential reaches Vth, it does not increase further because the emerging surface-bound charges are compensated through charge transfer with the fluid. The potential remains constant until the next event begins.
The temperature difference and the particle size determine whether enough charge can accumulate for reaction. Smaller particles invest comparatively more energy in reaching the threshold and leave less room for reactions. At the same time they possess more active area, so that a trade-off between charge efficiency and active site utilisation arises.
Reported experimental hydrogen yields could be modelled with the PTC to an accuracy of about one order of magnitude. The current yields correspond to conversion efficiencies in the range 10−1–10−6, even for small temperature differences. This waste-heat utilisation potential should encourage further studies on the physical and chemical limits of pyroelectric materials.
Footnotes |
† Electronic supplementary information (ESI) available: Section S1: Olsen and resistive cycles; Section S2: Calculation of the overpotential; Section S3: Calculated pyroelectrochemical yields; Section S4: Pyroelectric coefficients and permittivities; Section S5: Python simulation code. See DOI: 10.1039/d0cp01288b |
‡ These authors contributed equally to this work. |
§ About 2600 patents are known (google patent search for ‘pyroelectr*’ and ‘harvest*’, November 2019). |
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