Open Access Article
Dryade F. de Paula†
a,
Rudy Crisafulli†a,
Jesús González-Cobosb,
Ángel Caravaca‡
b and
José J. Linares
*a
aChemical Process Development Laboratory, University of Brasilia, Campus Universitário Darcy Ribeiro, 70910-900 Brasília, Distrito Federal, Brazil. E-mail: joselinares@unb.br
bUniversité Claude Bernard Lyon 1, CNRS, UMR 5256, IRCELYON, 2 avenue Albert Einstein, Villeurbanne F-69622, France
First published on 22nd October 2025
Three different electrocatalysts have been prepared, characterized, and applied to a high-temperature direct ethanol polymer electrolyte membrane electroreformer (DEPEME) based on the removal of surface Cu from the initial PtxCu/C (x = 3, 1, and 1/3) raw materials. The resulting structure consisted of a Pt-enriched shell on a PtCu alloy core deposited on C [alloyed PtxCu@PtyCu/C (y ≫ x)], achieved after the acid treatment of the prepared catalysts, in a core–shell (CS) configuration. This structure is confirmed by X-ray diffraction, which evidences the formation of a PtCu alloy, whereas X-ray photoelectron spectroscopy reveals an enriched Pt shell. Finally, transmission electron microscopy images revealed the dispersed deposition of metal nanoparticles at the nanoscale range. Regarding the electrochemical performance, the CS materials displayed enhanced CO tolerance and ethanol electro-oxidation (EEO) performance, characterized by increased current density and a lower onset potential compared to Pt/C. These results were corroborated at the high-temperature DEPEME condition of 150 °C. Moreover, the monitoring of the EEO products revealed that the CS PtCu materials notably enhanced the selectivity for CO2, resulting in a desirable combination of high hydrogen production rate (0.205 kg of H2 m−2 h−1) and CO2 selectivity (close to 50%) at a reduced energy consumption (25.46 kWh kg H2−1). Finally, a techno-economic analysis presents the potential of using ethanol produced in a sugarcane plant from bagasse (second-generation) and estimates the cost of H2 produced compared to that of a PEM water electrolyzer.
Broader contextClassical green H2 is produced by water electrolysis, which is punished with high total costs, initial investment, and operating costs. Ethanol-based electroreforming emerges as an alternative due to its renewable origin and lower energy demand. However, classical Direct Ethanol PEM electroreformers (DEPEME) exhibit low H2 yield (below 33.3%) due to the incomplete oxidation of ethanol. We propose an advanced electrocatalyst architecture, based on a Pt-enriched PtyCu/C core on an alloyed PtxCu shell (y ≫ x), applied to a high-temperature DEPEME, aiming to promote activity and H2 yield due to high CO2 selectivity. The electrocatalyst obtained from the acid treatment of the base PtCu3/C can produce H2 at a higher rate with a higher yield (50%), and a lower energy consumption per kg of H2 compared to Pt/C. Furthermore, the energy requirement of the DEPEME is half that of water electrolysis (PEME). Under this scenario, a technoeconomic analysis has been conducted under various hypotheses, including the specific price of the electrolyzer/electroreformer, electricity prices, DEPEME operating conditions, and expected lifetime, revealing the conditions under which DEPEME or PEME is the most appropriate option. The results reveal that DEPEME might indeed be an interesting alternative for producing green H2 at competitive costs. |
The main shortcomings of green H2 development stem from high capital expenditures (CAPEX) and electricity costs, which are introduced into operational expenditures (OPEX). High OPEXs are related to the high energy consumption from the necessary high cell voltage, 1.6–1.8 V, resulting in a demand of over 55 kWh per kg of H2.5 Such high voltage comes from the high overvoltage of the oxygen evolution reaction (OER, >1.23 V vs. standard hydrogen electrode, SHE). Therefore, replacing the OER with other less energy-demanding reactions, such as the oxidation of biomass-based organic compounds, including alcohols, sugars, lignin, and derivatives6–8 (theoretical values circa 0.0 V vs. SHE), can be an alternative. Furthermore, recent studies demonstrate that this principle can also be combined with wastewater treatment.9–11 This approach could achieve energy savings above 40%, with values well below 30 kWh per kg of H2.6
Ethanol is a promising candidate for electroreforming, given its renewable origin from edible biomass (sugarcane, corn, beetroot, producing the first-generation ethanol).12 Second-generation ethanol would be more interesting, coming from wastes (lignocellulosic materials such as bagasse and other residues of sugarcane processing with no commercial value),13,14 thereby avoiding potential conflicts with food stocks. Ethanol electrorefoming has been successfully applied to alkaline electrolyzers,15,16 alkaline exchange membrane electrolyzers,17,18 or polymer electrolyte membrane electrolyzers.19–23 All these electroreformers produced hydrogen at a lower energy cost than water electrolysis at low reaction temperatures. Nevertheless, these systems present some historical limitations associated with the slow kinetics of ethanol electro-oxidation (EEO) and incomplete ethanol oxidation, as acetaldehyde and acetic acid are the primary products of EEO.24–26 One alternative to overcome this limitation is to increase the temperature to 150–175 °C to improve the EEO kinetics. Moreover, the CO2 selectivity can be elevated up to 55% if temperatures between 150 and 175 °C are used, as demonstrated elsewhere.27,28 For this purpose, it is necessary to use H3PO4-doped polybenzimidazole (PBI) membranes, given their capacity to transport protons at those high temperatures with excellent mechanical, thermal, and chemical stability.29 Furthermore, their low ethanol permeability allows them to operate with ethanol concentrations as high as 5.7 mol L−1 (perfluorosulfonated electrolyzers typically operate with 1 mol L−1 ethanol due to ethanol crossover30), resulting in a larger potential for hydrogen production per liter of fuel. Notably, the proposed temperature range of 150–175 °C is still lower than that of the electrolyzers classically denoted as high-temperature electrolyzers, specifically the solid oxide electrolysis cells (SOEC), which operate between 750 and 850 °C. Thus, common operational and maintenance shortcomings of SOEC are avoided, e.g., increased heating energy demands, limited lifetime of cell components, and hindered dynamic behavior with slow response time during start-up, shutdown, and adjustment of the electrolyzer.31 The catalyst is also a key element in determining the EEO product distribution. Previous studies have shown that Pt is the best electrocatalyst for maximizing CO2 selectivity and, thus, the specific hydrogen production compared to multimetallic materials in high-temperature direct ethanol polymer electrolyte membrane fuel cells (DEPEMFC), whose anode configuration is similar to that of a high-temperature direct ethanol PEM electroreformer (DEPEME).28,32 Nevertheless, the electrochemical performance of Pt/C is lower than that of bimetallic materials (e.g., PtRu and PtSn), so the practical hydrogen flow rate would be limited. Thereby, larger electrolyzers would be required to meet a specific H2 demand. These results lead to a paradox: the performance versus the hydrogen produced compared to the potential one.
Bimetallic materials are known to improve their performance by two mechanisms: (i) bifunctional, in which adjacent liable metal atoms supply oxygenated species to the poisoned Pt sites to oxidize and release the ethanolic adsorbates formed during the EEO; (ii) electronic, in which the second metal alter the electronic states of Pt, modifying the adsorption strength of the species formed during the EEO. Generally, both mechanisms are present in bimetallic materials: part of the liable metal is alloyed with Pt (strong electronic effect), and the rest is in the form of oxide/s (powerful bifunctional effect), noting that both effects can be present in the alloy and the oxide/s.33 Our experience showed that bimetallic materials preferentially form acetaldehyde (the most abundant) and acetic acid.28,32
A potential approach to overcoming the challenges mentioned above involves utilising a core–shell (CS) architecture, featuring a platinum-enriched shell surrounding an alloyed platinum core. The internal alloyed structure can maintain the electronic effect, while the Pt-enriched surface can stimulate the C–C scission. In this sense, a recent review has highlighted that this approach for facilitating the C–C cleavage in the EEO is attributed to electronic, lattice strain, and surface defect effects.26 To prepare CS structures, the acid treatment of an alloyed PtCu is considered to be a ref. 34, with successful results on EEO: Ammam and Bradley Easton35 evidenced that a Pt-enriched surface of a PtCu alloy increased the EEO activity in terms of lower onset potential and higher current density, as well as improved stability to operating in potentiostatic and potentiodynamic conditions. Huang et al.36 prepared a dealloyed PtCu material with a 70 mV lower onset potential than Pt/C, and a maximum current density that was 3.9 and 4.8 times higher in terms of active area and Pt mass, respectively. Furthermore, the authors observed a more extensive conversion of ethanol to CO2. Finally, Castagna et al.37 prepared dealloyed PtCu electrocatalysts with different Pt
:
Cu proportions, observing that the onset potential of the PtCu/C materials is downward shifted by 200 mV compared to the standard PtRu/C and that the maximum current density is 2.5–3 times higher for PtCu/C than for PtRu/C.
Such encouraging results have served as a basis for this work, in which CS PtCu/C (alloyed PtxCu@ enriched PtyCu (y ≫ x)/C) nanoparticles with different Pt
:
Cu atomic ratios have been developed to be used in a direct ethanol polymer electrolyte membrane electroreformer at high temperature (150 °C). The base bimetallic materials were first synthesized using NaBH4, then thermally treated in a reducing H2 environment to promote the alloying of Pt and Cu, and finally, acid-treated to remove the labile Cu, resulting in the CS electrocatalysts. The prepared materials were physicochemically characterized by inductively coupled plasma optical emission spectroscopy (ICP-OES), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and transmission electron microscopy (TEM). The physicochemical parameters derived from these analyses facilitate an understanding of the electrochemical results obtained from cyclic voltammetry, CO stripping, EEO voltammetric curves, chronoamperometry, and ultimately, the results in the high-temperature DEPEME. Product distribution in the DEPEME has also been quantified by mass spectrometry (MS). Finally, a preliminary economic analysis is conducted to estimate the cost of hydrogen produced by this approach, which is proposed for the fertilization of a sugarcane farm coupled with an ethanol production plant, utilizing the potential ethanol that can be obtained from the bagasse waste.
Once this process was completed, the bimetallic samples were acid-treated, with the expectation of removing the non-alloyed (labile) copper and the surface and subsurface copper atoms in the alloyed nanoparticles. The materials were treated with 9 mol L−1 concentrated HNO3 (Vetec) for 1 h at room temperature. Next, the samples were repeatedly centrifuged (Centribio 80-2B Digital centrifuge) for 5 minutes at 4000 rpm until the supernatant was neutral. The samples were again dried in an oven for 12 h at 70 °C and ground to obtain the final CS PtCu/C materials (denoted with the same nominal Pt and Cu atomic ratios as in the base materials).
:
Cu ratio was measured by ICP-OES (Ultima Expert Spectrometer, Horiba Scientific). The samples were digested in Teflon tubes with 1 mL of HNO3 (65 wt/wt%, Sigma-Aldrich) and 3 mL of HCl (37 wt/wt%, Sigma-Aldrich). The tubes were closed and placed in an oven at 150 °C for metal digestion. Next, the reaction mixture was centrifuged to separate the supernatant, which was then used to determine the Pt
:
Cu atomic ratio.
To determine the crystallinity, average crystallite size, and alloy degree, XRD was carried out in a Rigaku Miniflex 300 diffractometer from 2θ angles between 20 and 90°, scan rate of 0.5° min−1, step 0.05°. The applied radiation corresponded to the Cu Kα (λ = 0,15046 nm). The average crystallite (d) size was obtained by the application of Scherrer's eqn (1), where K is a particle-shape-dependent constant (0.9 for spherical particles), λ is the wavelength of the incident radiation (1.5406 Å for Cu Kα), θ is the angle of the (hkl) peak, and β(2θ) is the width in radians of the diffraction peak at half height.
![]() | (1) |
| aPtCu = xCuaCu + (1 − xCu) | (2) |
![]() | (3) |
TEM images were obtained in a JEOL 2100 microscope operated at 200 kV with a point-to-point resolution of 0.19 Å. Particle size distributions were obtained from 300 particles. The average particle size (dTEM) was estimated by eqn (4), where di is the size of the considered particles in the size range i, and ni is the number of particles with that size.
![]() | (4) |
![]() | (5) |
:
2 (corresponding to 5.7 mol L−1 ethanol) based on a previous optimization study.41
:
Cu ratio in the bimetallic samples. As can be seen, the actual overall metal percentages and Pt
:
Cu fraction of the base materials are close to the nominal ones. On the other hand, the CS materials exhibit a decrease in the Cu percentage, which is higher as the Cu percentage increases in the original material (Cu losses of 36% for Pt3Cu/C, 44% for PtCu/C, and 80% for PtCu3/C). The proposed acid treatment decreases the metal loading from the Cu lixiviation (Pt wt. percentages remain stable, Fig. 1a). Further, it increases the Pt
:
Cu atomic ratio, especially in the original PtCu3/C case. These results represent the first evidence of copper removal through acid treatment. More relevant information related to the nature of this copper can be extracted from the XRD and XPS analyses.
![]() | ||
| Fig. 1 (a) Overall metal percentages (labels include the total metallic wt%); and (b) distribution percentages of each metal (see labels) in the overall metallic charge of the different catalysts. | ||
Fig. 2 shows the base and CS catalysts' XRD diffractograms. All spectra show a diffraction peak at ca. 25°, attributed to Vulcan XC-72 support.42–44 The Cu/C displays the peaks associated with metallic Cu and Cu2O. In the case of the Pt/C, and base Pt3Cu/C and PtCu/C, the peaks related to Pt crystalline facets are present, though shifted to higher angles due to the lattice contraction by PtCu alloying, as observed in previous studies on PtCu alloys.45 Base PtCu3/C shows peaks associated with two segregated crystals, PtCu alloy and CuO, with no apparent presence of other reduced Cu species. The acid treatment brings notable alterations to the CS PtCu3/C, with the complete disappearance of the Cu diffraction peaks. Furthermore, a slight shift to lower angles can be observed for the three CS catalysts compared to the base ones, evidencing a decrease in the alloying degree. These results evince significant structural rearrangements caused by the acid treatment.
![]() | ||
| Fig. 2 Diffractograms of the prepared electrocatalysts: (a) base, and (b) CS (vertical lines and legends correspond to the XRD peaks of the different species present in the electrocatalysts). | ||
Table 1 presents the average crystallite sizes, lattice parameters, alloy composition, and the distribution of alloyed and non-alloyed Cu, providing relevant quantitative information. As can be seen, Pt/C possesses a larger average crystallite size compared to the bimetallic materials, which further diminishes as the Cu fraction increases. This behavior is attributed to the protective role exerted by Cu (or copper oxide) during the growth of the crystal embryos, leading to the observed smaller PtCu crystals.46,47 The CS materials possess smaller crystallite sizes due to the lixiviation effect exerted by the acid, reducing the size of the alloyed PtCu crystals. Regarding the lattice parameter and alloying degree, the acid treatment leads to an expansion in the lattice parameter and a decay in the Cu fraction in the alloy. The removal of part of the Cu inserted in the alloyed face-centered cubic (fcc) PtCu crystals may be responsible for the lattice dilation, confirming the structural changes induced by the acid treatment.
| Material | Crystallite size (nm) | Lattice parameter (nm) | x value in the Pt1−xCux alloy | % of alloyed Cu | |||||
|---|---|---|---|---|---|---|---|---|---|
| Base | CS | Base | CS | Base | CS | Base | CS | ||
| a More alloyed Cu than available; see discussion in the text. | |||||||||
| Pt/C | 7.0 | — | 0.3915 | — | — | — | — | — | |
| Pt3Cu/C | 5.6 | 5.3 | 0.3878 | 0.3883 | 0.12 | 0.11 | 34 | 45 | |
| PtCu/C | 5.3 | 5.2 | 0.3805 | 0.3816 | 0.37 | 0.33 | 55 | 83 | |
| PtCu3/C | PtCu3 | 4.0 | 3.6 | 0.3775 | 0.3807 | 0.46 | 0.36 | 30 | 130a |
| CuO | 9.0 | — | — | — | — | — | — | — | |
| Cu/C | Cu | 15.0 | — | 0.3613 | — | — | — | — | — |
| Cu2O | 11.6 | — | 0.4270 | — | — | — | — | — | |
In the case of the percentage of Cu integrated in the alloy, the acid treatment increases this parameter primarily due to the removal of part of the segregated Cu during the acid treatment, especially in the case of the CS PtCu3/C. Nevertheless, a fraction of non-alloyed Cu remains in the CS Pt3Cu/C and PtCu/C. XRD patterns and later XPS results indicate that most of the remaining Cu is in a segregated, amorphous, reduced form (Cu(0) or Cu(I)), which appears to be more resistant to acid treatment. The CS PtCu3/C shows a higher fraction of alloyed Cu than available. This behavior can be explained by the removal of Cu from the PtCu alloy without complete rearrangement of the crystallites (lattice expansion). Such evidence can be of interest, as it may be a source of nanoparticle structural defects, particularly relevant to the ethanol electro-oxidation.48
XPS analyses of the base and CS materials were conducted to obtain comprehensive compositional and oxidation state information, as well as to provide a clearer radiography of the bimetallic nanoparticles' surface (Pt 4f and Cu 2p spectra are presented in Fig. S1 and S2, respectively). The Cu surface percentages and their comparison with the total and alloyed Cu are presented in Fig. 3, with the corresponding percentages inserted in a table. This combined analysis helps elucidate the formation of Pt-enriched surfaces on alloyed PtCu nanoparticles. Additionally, it provides information about the nature of the removed Cu, whether segregated or, more interestingly, alloyed. Some remarks are listed below:
• The first observation is the significant enrichment of the CS nanoparticle surfaces in Pt due to the removal of the most exposed Cu (the Cu fraction in the surface becomes smaller than the overall Cu).
• The base electrocatalysts present a smaller percentage of Cu in the alloy than on the surface. Besides, the increase in total Cu favors the existence of a large fraction of segregated copper and/or PtCu alloyed nanoparticles with a Cu-enriched surface.
• In the case of CS materials, the alloyed Cu is higher than that on the surface, supporting the formation of a Pt-enriched core in the PtCu alloyed nanoparticles.
• Finally, the higher percentage of Cu in bulk compared to the alloy in the CS Pt3Cu/C and PtCu/C (not for CS PtCu3/C) evidences the presence of a small fraction of non-alloyed copper.
As shown in Fig. S1, all the Pt materials exhibit Pt(0) asymmetric doublets at binding energies (BEs) of 71.5 and 74.8 eV, with a growing contribution from the Cu 3p peak as the Cu fraction increases, particularly in the case of the base materials.49 As expected, this latter contribution diminishes after the acid treatment due to the removal of surface copper. One interesting observation is that in the base materials and the CS Pt3Cu/C and CS PtCu/C, the Pt 4f BE remains constant regardless of the formation of the PtCu alloy, which is somewhat unexpected. In literature, down- and upshifts in the BE have been reported depending on the dominant mechanism of the electron transfer between Pt and Cu: (a) a BE decrease due to the higher electronegativity of Pt compared to Cu, resulting in an electron transfer from the latter to the former;50–53 (b) a BE increase,45,54–57 attributed to quantum confinement effects, coming from the differences in the work functions between Pt and Pt alloys, as well as the rehybridization of d- and sp-bands after the alloy formation.54,58,59 Lee et al.60 reported scarce alterations in the Pt 4f BE for a PtCu bulk alloy. The authors attributed this result to the occupation of the Pt d5/2 states, compensated by the deoccupation of the Pt d3/2 electrons, leading to an almost null shift in the Pt 4f core-level binding energy. This electronic rearrangement may occur in our system, perhaps stimulated by the thermal treatment, leading to the invariant Pt 4f BE. In the case of the CS PtCu3/C, there is a small upshift of the binding energy of 0.1 eV. Such a change may be attributed to the particular lattice strain generated in this material due to the insufficient rearrangement after the acid treatment with a compressed crystalline lattice.56 This upshift alters the electronic environment by downshifting the Pt-d band center, reducing the eventual adsorption strength of the species involved in the electrochemical reaction.56,58 Such electronic effects kinetically and mechanistically impact the EEO reaction.
In the case of the Cu 2p spectra (Fig. S2), all the materials, except the CS Pt3Cu/C (absence of Cu(II)), present a combination of Cu (0 or I) and Cu(II) in different proportions. The values are collected in Table S1. The percentage of surface Cu(II) in the base materials increases with the total Cu content in the electrocatalyst. This result can be attributed to a larger fraction of segregated Cu being exposed to surface oxidation. The acid treatment results in CS materials in which Cu becomes minor on the surface of the nanoparticles. Moreover, the fraction of CuO is drastically reduced (or disappears), with most of the Cu in the form of metallic Cu or Cu2O. Thus, the acid treatment seems to have preferentially attacked the Cu(II) form, enriching the nanoparticles' surface in reduced Cu(0 or I).
Fig. 4a–h shows the TEM images of the different electrocatalysts, including high-resolution images of the CS PtCu/C and CS PtCu3/C (Fig. 4i and j), as well as the Boxplot of the particle size distribution (Fig. 4k) to obtain the most relevant statistical parameters (histograms of particle size distributions of the Pt-containing materials are presented in Fig. S3). As observed, the Pt/C presents relatively large nanoparticles (average diameter of 7.14 nm) and a wide size distribution, resulting from the use of the potent reducing agent NaBH4 along with thermal treatment.61 When Cu is added to Pt, we can observe a general tendency of mean particle size decay (down to 3.75 nm for PtCu3/C), which is in qualitative agreement with the crystallite size results. In broad terms, the acid treatment results in a more heterogeneous particle size distribution, which can be attributed to particle size rearrangement or dissolution and redeposition caused by the corrosive action of nitric acid. The high-resolution TEM images of the CS PtCu/C and PtCu3/C evidence the formation of rough, irregular (spongy-like) nanoparticle surfaces due to the removal of Cu. This phenomenon, already reported in the literature for acid-treated alloyed Pt-labile metal bimetallic catalysts,34,62,63 produces materials with high surface area. Fig. S4 displays high-resolution images of the lattice fringes for the base and CS Pt3Cu/C catalyst, along with the Fast-Fourier Transform, to estimate the d-spacing. An expansion in the d-spacing is observed after the Cu removal due to the rearrangement of the crystalline structure after the removal of the Cu atoms. Finally, to confirm the potential formation of a CS structure, Fig. S5 presents the EDS-STEM line mapping of the base and CS Pt3Cu/C electrocatalysts (material with minor evidence of CS structure formation), along with the change in the Pt
:
Cu ratio with position. As observed, after the acid treatment, the CS material exhibits Pt enrichment due to the Cu lixiviation process, which is more pronounced on the edges of the nanoparticles. In this way, all the structural and morphological characterizations provide sufficient support to infer that the acid treatment leads to Pt-enriched CS structures.
![]() | ||
| Fig. 4 (a)–(j) TEM images of the base and CS electrocatalysts and (k) statistical information from the particle size distribution (box plot for each material). | ||
Fig. 5 shows the blank CV of these materials in 0.5 M H2SO4. CV is an important technique that can give an “electrochemical radiography” of the catalysts' surfaces. As can be seen, all the materials, except for Cu/C, present an analogous overall shape. In the case of Cu/C, there is an intense anodic peak circa 0.25 V vs. RHE with a soft drop up to 0.7 V. This process is ascribed to the oxidation of Cu(0)/Cu(I) species to Cu(II), as described in the literature.35,64,65 The Pt/C displays the typical hydrogen adsorption/desorption region associated with the different crystalline facets (111, 110, and 100) between 0.05 and 0.35 V vs. RHE, in addition to the formation of PtOH above 0.8 V.66 The CS materials maintain the general profile, although some changes are visible. The peaks associated with the different Pt crystalline facets in the H adsorption/desorption peaks are bigger but less defined or undefined. After the large Cu removal undergone by the CS materials, the created irregular Pt-enriched surface does not so clearly expose the typical 111, 110, and 100 facets. On the other hand, the CS PtCu3/C, the material with the lowest metal loading, shows an intense double-layer contribution, likely due to the highest capacity contribution of the carbon support. Moreover, the current signal in the high potential region, corresponding to the oxygen adsorption/desorption, is more intense in the sequence CS PtCu3/C > CS PtCu/C > CS Pt3Cu/C > Pt/C. This behavior can be attributed to the surface defects formed on the CS nanoparticles after acid treatment, which stimulates OH adsorption.67,68 The variations observed between the bimetallic base and CS materials are shown and discussed in the SI (Fig. S6).
Fig. S7 shows the CO-stripping profiles of the candidate materials, from which the electrochemically active surface area (EASA) can be estimated. Values are collected in Table 2. As can be seen, there is an increase in EASA as the Cu fraction in the initial materials increases. This tendency aligns with the CS TEM observation and further supports the formation of rougher, more irregular nanoparticle surfaces after Cu removal in the alloyed materials. In terms of the CO-stripping profiles, a progressive shift towards lower potentials of the onset potential with the increase of Cu content and a maximum current in the sequence CS PtCu3/C > CS PtCu/C > CS Pt3Cu/C > Pt/C is observed. Additionally, previous activity is visualized in the CS materials, with the effect more pronounced as the initial Cu fraction increases, in the range of 0.3–0.7 V. This can be attributed to the aforementioned large number of oxyphilic surface defects,67,69–71 in combination with eventual ox effects that weaken CO adsorption. These effects are more intense the higher the Cu fraction removed (CS PtCu3/C > CS PtCu/C > CS Pt3Cu/C).
| Material | EASA/(m2 g−1) |
|---|---|
| PtC | 25.4 |
| CS Pt3Cu/C | 40.0 |
| CS PtCu/C | 49.3 |
| CS PtCu3/C | 73.1 |
The ethanol electrochemical activity is displayed in Fig. 6a (mass normalized) and Fig. 6b (EASA normalized) for the anodic scans. The inset corresponds to the log plot of Fig. 6a, showing the stages at which the mass-normalized current density increases more significantly, providing an approximate indication of the onset potential. An overall sequence of CS PtCu3/C > CS PtCu/C > CS Pt3Cu/C > Pt/C can be observed for the EEO activity. The Pt mass-normalized current densities, more influenced by the exposed surface area, show an evident beneficial effect of acid treatment. The EASA-normalized performance, which better reflects the intrinsic activity of the electrocatalysts, is also enhanced in the same sequence, reflecting the activation of the Pt active sites with the formation of the CS structures. The expected decrease in the adsorption strength of the species formed during the EEO, combined with the presence of a large fraction of oxyphilic surface defects (oxygenated species are crucial for the EEO), results in a more active Pt surface that is less poisoned by the ethanolic adsorbates formed during the EEO. The interplay of these factors results in an increased turnover frequency, which contributes to the observed increase in activity. These effects are also visible in terms of the onset potential. Cathodic scans are presented and discussed in Fig. S8, and the chronoamperometric curves are shown in Fig. S9. The general trends reported for the CO-stripping and EEO curves are maintained in these figures. It must be noted that the proposed CS PtCu3/C catalyst shows a peak mass current density of ca. 1.3 A mgPt−1, which is among the highest values reported in the EEO literature review by Yang et al.72 from CV data.
![]() | ||
| Fig. 6 EEO curves in the anodic scans (5 mV s−1) in 1 mol L−1 H3PO4 and 5 mol L−1 ethanol for the different electrocatalysts. | ||
In comparison with similar high-temperature PBI-based PEM electrolyzers, to the authors' knowledge, only Aili et al.80 reported the results of a high-temperature H3PO4-doped PBI-based PEM steam electrolysis, achieving a maximum performance of 0.6 A cm−2 at ≈1.8 V (48.2 kWh kg−1 of H2). Instead, the CS PtCu3/C would only demand 25 kWh kg−1 of H2 operating at 0.6 A cm−2, almost halving the required energy. Thus, regarding energy demand, DEPEME seems promising; nevertheless, it must be acknowledged that performance improvements are necessary to increase hydrogen production, aiming to match that of a water PEM electrolyzer.
Fig. 8 depicts the product distribution for the different electrocatalysts (Fig. 8a), and Fig. 8b displays the number of electrons (n, from eqn (6), where f is the molar fraction of each product) released per molecule of ethanol oxidized and H2 yield. Given that hydrogen evolution is the sole reaction occurring in the cathode, the number of electrons released compared to the overall available (12) can be used to estimate the H2 yield (YH2) according to eqn (7).
![]() | (6) |
| YH2 = n/12 | (7) |
| Parameter | Acronym | Amount | Unit | Source |
|---|---|---|---|---|
| Annual ethanol production | AEP | 387 | 106 L year−1 | 85 |
| Specific production per ton of sugarcane | SPS | 80 | L ton−1 | 86 |
| Required tons of sugarcane | RTS | 4.84 | 106 ton year−1 | AEP/SPS |
| Specific sugarcane per hectare of plants | SSHP | 78.7 | ton ha−1 year−1 | 87 |
| Required hectares of sugarcane | RHS | 61 452 |
ha | RTS/SSHP |
| Required urea per hectare of sugarcane | RUHS | 200 | kg ha−1 | 88 |
| Required urea | RU | 12.3 | 103 ton | RHSxRUHS |
| Overall urea production: 2NH3 + CO2 ⇌ NH2CONH2 + H2O | ||||
Molar proportion urea : ammonia |
0.5 | |||
Mass proportion urea : ammonia |
MPUA | 1.763 | ||
| Required ammonia | RA | 6.97 | 103 ton | RU/MPUA |
| Overall ammonia production: N2 + 2H2 ⇌ NH3 | ||||
Molar proportion ammonia : hydrogen |
0.5 | |||
Mass proportion ammonia : hydrogen |
MPAH | 8.515 | ||
| Required hydrogen | RH | 819 | ton | RA/MPAH |
| Operating factor | OF | 8000 | h year−1 | 89 |
| Hourly hydrogen consumption (in 1 year) | HHC | 102.3 | kg h−1 | RH/OF |
| Operation at 0.95 V and 0.55 A cm−2. In this condition, the required energy consumption is ≈25 kWh kg−1 of H2, half of PEM water electrolysis | ||||
| H2/ethanol proportion (according to Fig. 8b) | 2.35 | |||
Mass proportion H2 : ethanol |
MPEH | 0.102 | ||
| Hourly ethanol consumption | HEC | 1005 | kg h−1 | HHC/MPEH |
| Ethanol density | ED | 789 | kg m−3 | |
| Annual required ethanol for producing urea to fertilize the sugarcane planting | 3.99 | 103 m3 year−1 | (HEC/ED) × OF | |
| Bagasse obtained per ton of sugarcane | BOTS | 0.3 | ton ton−1 | 90 |
| Obtained bagasse | OB | 1.45 | 106 ton year−1 | RTSxBOTS |
| Specific production of ethanol per ton of bagasse | SPEB | 0.232 | m3 ton−1 | 91 |
| Potential ethanol to be produced | 336.6 | 103 m3 year−1 | OB × SPEB | |
Once we know the necessary urea, the required annual hydrogen can be calculated from the stoichiometries of the urea and ammonia syntheses. The key parameter to quantify the ethanol consumed in the DEPEME to produce the required hydrogen can be appraised from Fig. 8b. At 0.95 V and 0.55 A cm−2, the average number of electrons produced in the EEO is 4.7, associated with a hydrogen production of 2.35 mols. We can assess the required ethanol from this value, which is compared with the potential ethanol produced from bagasse. The potential bagasse rates this latter magnitude through the specific production of ethanol per ton of bagasse in a second-generation ethanol plant.
According to Table 3, the potential ethanol produced by implementing a second-generation ethanol plant could be used to generate the required hydrogen for producing ammonia and urea, which are needed to fertilize the 2023 sugarcane plantation. Specifically, only ca. 1.2% of the overall ethanol produced in the plant would be necessary to ensure the required H2 generation through DEPEME.
Finally, a preliminary economic analysis of the high-temperature DEPEME technology is presented, including a comparison with the PEM water electrolysis (PEME). For the DEPEME, the results obtained in this study for CS PtCu3/C serve as a basis for design calculations, whereas for the PEME, the bibliography is used for this purpose. Regarding the DEPEME, to date, no CAPEX and OPEX information is available. For this reason, certain assumptions are considered when making the DEPEME economic calculations. CAPEX of PEME is typically expressed as USD kW−1. This estimation may distort the comparison between DEPEME and PEME, given the larger electrode area needed in DEPEME and the lower energy consumption. Instead, CAPEX estimation based on the electrode area would be more suitable (USD cm−2). Moreover, PEME CAPEX estimations rely on the use of IrO2 in the anode (loading of 1–3 mg cm−2) and Pt/C in the cathode (Pt loading of 0.5 mg cm−2), as well as a Nafion® membrane as the electrolyte.92,93 According to Premetek (USA), an electrocatalyst supplier, 5 g of high surface area IrOx (10–20 m2 g−1) has a price of 1789.00 USD (https://premetek.com/product/irox-powder-conductive-surface-area-1020-m2-g/, accessed June 10, 2025), whereas 5 g of 20 wt% Pt/C costs 374.00 USD (https://premetek.com/product/20-pt-on-vulcan-xc-72/, accessed June 10, 2025). In DEPEME, both electrodes use Pt-based materials; in the cathode, 0.5 mg cm−2 of Pt from an analogous Pt/C material is typically used, so that we can consider the same economic basis; in the anode, for rough estimation, we can attribute most of the price to the Pt loading, neglecting the contributions of Cu and C. The Pt wt% in the PtCu3/C is approximately 10, with a price of 298.00 USD (https://premetek.com/product/10-pt-on-vulcan-xc-72/, accessed June 10, 2025). Nevertheless, we can consider the value of 20 wt% Pt/C from a conservative approach, accounting for the contributions of Cu, C, and chemical treatments, 374.00 USD. The mass of 5 g of catalysts only provides 1 g of metal; therefore, for 5 g (the same reference mass used for IrOx), the final value would be 1870.00 USD. Both values could be considered close enough to suggest similar specific prices (USD g−1) for the electrocatalysts. Nafion® is the most extended proton exchange membrane used in PEME, whose price is >500.00 USD m−2.94 Our membrane is a H3PO4-doped PBI membrane, for which a reference value can be found from the Fuel Cell Store (https://www.fuelcellstore.com/celtec-p-membrane-82700100, accessed June 10, 2025) of 157 USD for a membrane of 0.064496 m2. Applying the “0.6 rule” for the cost-curve costs,95 we can estimate a value of 813 USD m−2, which falls within the range of Nafion® membranes. Based on the proposed approaches, where the electrocatalysts and membranes have similar costs, we can use the PEME reference value from Peterson et al.96 for DEPEME, as a function of the geometric area, 1.3 USD cm−2 for CAPEX estimation.
According to the literature,97 the stack constitutes approximately 60% of the CAPEX of a PEME, with other contributions coming from the balance of plant (15%), H2 conditioning (10%), and power electronics (15%). Although there may be variations between the PEME and DEPEME, due to the larger electrode area required by the DEPEME, some of the costs may compensate for each other; for instance, the balance of plant can be more expensive due to the higher size of the electrolyzer; however, the power electronics are cheaper given the reduced energy requirements of the DEPEME. Thereby, the other CAPEX contributions are considered equal for both systems. The OPEXs, excluding the cost of electricity, are estimated to be 5% of the CAPEX (with a typical range of 2–5%).98–101 The cost of electricity was calculated based on the energy consumption of the electrolyzer. The considered price is obtained from the electricity company in the state of Goiás (Equatorial Goiás Distribuidora de Energia S.A., https://go.equatorialenergia.com.br/valor-de-tarifas-e-servicos/#demais-classes, accessed June 13th, 2025), ≈ 123.00 USD MWh−1. This scenario leads to the results summarized in Table 4. CAPEX annualization is calculated considering a lifetime of 10 years (expected for PEME, not available to date for DEPEME, so the same lifetime expectation is initially assumed) and an interest rate of 15%, resulting in an annual capital charge ratio (ACCR) of 0.199.102
| Parameter | Value | Units |
|---|---|---|
| According to Table 3, the required hourly demand of H2 is | 102.31 | kg h−1 |
| Proposed ethanol electroreformer | Water electrolyzer | ||||||
|---|---|---|---|---|---|---|---|
| Cell voltage | 0.95 | V | From polarization curves | Cell voltage | 1.9 | V | |
| Current density | 0.55 | A cm−2 | Current density | 2 | A cm−2 | ||
| Hydrogen production rate | 0.205 | kg H2 m−2 h−1 | Hydrogen production rate | 0.746 | kg H2 m−2 h−1 | ||
| Required electrolyzer area | 498.6 | m2 | Required electrolyzer area | 137.1 | m2 | ||
| Power | 2.60 | MW | Power | 5.21 | MW | ||
| Specific consumed energy | 25.46 | kWh kg−1 H2 | Specific consumed energy | 50.92 | kWh kg−1 H2 | ||
| Annual energy demand | 20 839.58 |
MWh | Annual energy demand | 41679.16 | MWh | ||
| Specific stack CAPEX | 1.3 | USD cm−2 | Specific stack CAPEX | 1.3 | USD cm−2 | ||
| Stack CAPEX | 6.48 | MUSD | Stack CAPEX | 1.782 | MUSD | 60% of the total CAPEX | |
| Other components (balance of plant, gas conditioning, power electronics) | 1.188 | MUSD | Equal to PEME | Other components (balance of plant, gas conditioning, power electronics) | 1.188 | MUSD | 40% remaining |
| Total CAPEX | 7.67 | MUSD | Total CAPEX | 2.971 | MUSD | ||
| To annualize the CAPEX, we consider a lifetime of 10 years (same as PEME, though there is no experimental data) | To annualize the CAPEX, we consider a lifetime of 10 years | ||||||
| Annual capital charge ratio (ACCR) | 0.199 | Annual capital charge ratio (ACCR) | 0.199 | ||||
| Annualized CAPEX | 1.526 | MUSD year−1 | Annualized CAPEX | 0.591 | MUSD year−1 | ||
| OPEX (not including electricity) | 0.383 | MUSD year−1 | 5% of the total CAPEX | OPEX (not including electricity) | 0.149 | MUSD year−1 | 5% of the total CAPEX |
| Electricity price | 123 | USD MWh−1 | Reference of the energy company in Goiás (BR) | Electricity price | 123 | USD MWh−1 | Reference of the energy company in Goiás (BR) |
| Electricity cost | 2.563 | MUSD year−1 | Electricity cost | 5.127 | MUSD year−1 | ||
| OPEX + CAPEX + ELECTRICITY COSTS (“TOTAL COSTS”) | 4.47 | MUSD year−1 | OPEX + CAPEX + ELECTRICITY COSTS (“TOTAL COSTS”) | 5.87 | MUSD year−1 | ||
As shown in Table 4, under the described scenario, the DEPEME option is more economical than the PEME, primarily due to the higher electricity costs. The estimated total cost, comprising CAPEX, OPEX, and electricity, would be 4.47 and 5.87 MUSD year−1 for DEPEME and PEME, respectively. Although some assumptions may affect the accuracy of the calculations, the developed tool allows us to observe interesting trends that can be better evaluated through a sensitivity analysis. Fig. 9 shows the evolution of the total costs as a function of the specific stack CAPEX and the price of electricity.
The DEPEME becomes more onerous than the PEME when the specific stack CAPEX increases due to the required larger area than the PEME. On the other hand, the PEME is the most expensive option when electricity prices are high, as it is more energy-demanding due to its operation at higher cell voltages. This tool can also simulate other conditions, such as varying cell voltages and current densities, enabling the assessment of the impact of improvements on both systems. Furthermore, the system's lifetime can also be evaluated by changing the ACCR, a parameter that increases with a minor lifetime expectancy. These parameters are simulated in Fig. S13.
In addition to the electroreformer, the DEPEME also requires a separation sequence to obtain the oxidation product (acetaldehyde and, to a lesser extent, acetic acid), which can generate revenues from their sale. Furthermore, the unreacted ethanol and water can be recycled, thereby reducing the demand for these resources. Fig. S14–S16 and Tables S3–S10 display the sequence of calculations performed to estimate the benefit margin in the case of separating the acetaldehyde and acetic acid formed. As can be seen, a significant benefit margin appears after the inclusion of the separation sequence, which can indeed compensate for the high CAPEX demanded for the DEPEME. It is essential to note that this part of the study focuses solely on the fractionation columns, along with an activated carbon fixed-bed adsorber, to retain the acetic acid formed during the process. Furthermore, in the case of DEPEME, a vaporizer is necessary, which will consequently increase energy requirements. This vaporizer would undoubtedly increase the system's CAPEX and OPEX. Notwithstanding, the possibility of heat integration, such as preheating the feed stream to the DEPEME,103,104 is expected to reduce the energy requirements (see the proposed process flow diagram in Fig. S14, which includes heat integration). In any case, this economic evaluation must be considered in preliminary terms to visualize the influence of relevant parameters such as the cost of the electrolyzer, electricity, lifetime, and operating conditions, among others. Alcohol electrochemical reforming requires more maturity to provide more solid techno-economic data, especially addressing long-term performance and actual estimations of CAPEX and OPEX. Nonetheless, the results are rather promising, considering there is room for improvement in DEPEME performance, which would produce more H2 at a lower cost. Fig. S17 and Table S11 present the calculations for estimating the system efficiency and the excess energy applied to the DEPEME, PEM water electrolyzer, and solid oxide water electrolyzer. The results demonstrate two contradictory results for the DEPEME compared to the water electrolysis: (i) the significant excess of energy required in the DEPEME compared to the theoretical one, which is primarily attributed to the sluggishness of the EEO kinetics, as a negative part; (ii) the highest transferred energy efficiency from the fuel to H2, due to the energy provided by the ethanol combustion, which contribute to drastically reduce the energy demand of the DEPEME comparted to the water electrolyzers.
Footnotes |
| † Current address: Nuclear and Energy Research Institute (IPEN), Avenida Prof. Lineu Prestes, 2242, 05508-000 São Paulo, Brazil. |
| ‡ Current address: Department of Mechanical, Chemical and Industrial Design Engineering, Universidad Politécnica de Madrid, Escuela Técnica Superior de Ingeniería y Diseño Industrial, Ronda de Valencia 3, 28012, Madrid, Spain. |
| This journal is © The Royal Society of Chemistry 2025 |