Jaume-Adrià
Alberola-Borràs
ab,
Rosario
Vidal
*a and
Iván
Mora-Seró
*b
aGrupo de Ingeniería de Diseño (GID), Departament d'Enginyeria Mecànica i Construcció, Universitat Jaume I, Av. SosBaynat s/n, 12071 Castelló, Spain. E-mail: vidal@uji.es
bInstitute of Advanced Materials (INAM), Universitat Jaume I, Av. Sos Baynat, s/n, 12006 Castelló, Spain. E-mail: sero@uji.es; Tel: +34 964387552
First published on 9th May 2018
After the great initiation of perovskite as a photovoltaic material, laboratory efficiencies similar to those of other photovoltaic technologies already commercialised have been reached. Consequently, recent research efforts in perovskite solar cells have been directed towards improving their stability as well as making their industrialisation possible. Record efficiencies in perovskite solar cells (PSCs) have been achieved using as the active material a multiple cation/anion perovskite by combining not only methylammonium (MA) and formamidinium (FA), but also the Cs cation and I and Br as anions, materials that have also demonstrated superior stability. Herein, the environmental performance of the production of such perovskite films was evaluated via life cycle assessment. Our study points out that multiple cation/anion perovskite films show major detrimental environmental impacts for all categories assessed, except for abiotic depletion potential, when they are compared with a canonical perovskite, MAPbI3. In addition, a closer analysis of the materials utilised for the synthesis of the different multiple cation perovskite compositions revealed that lead halide reagents and chlorobenzene produced the most adverse results in terms of impact. However, the former is used in all perovskite compositions and the latter can be avoided by the use of alternative fabrication methods to the anti-solvent method. To this end, FAI, with the current synthesis procedures, is the most decisive compound as it increases significantly the impacts and the c ost in comparison with MAI. A further economic analysis revealed that multiple cation perovskites need a significantly higher photoconversion efficiency to produce the same payback times compared to the canonical perovskite.
Thus far, much research on PSCs has been oriented towards compositional engineering.3–5,10 Perovskites with outstanding photovoltaic properties have a distinctive structure, composed of three elements according to the formula ABX3, where A corresponds to a monovalent organic/inorganic cation, B corresponds to a divalent inorganic cation (commonly Pb) and X corresponds to a halide anion (Cl, Br and I). As for the monovalent cationic position (A), the most efficient perovskite compositions introduce the formamidinium (FA) cation along with the traditional methylammonium (MA) cation and also Br partially substituting the I anion4,5,11–14 with published efficiencies as high as 22.1%.3 Recently, a caesium inorganic monovalent cation also showed good results when combined with MA and FA in the perovskite structure. Actually, the three cations combined produced an enhanced power conversion efficiency (PCE) of 21.1%.15 Not only that, but high reproducibility was achieved and the efficiency after 250 h was found to be quite stable, yielding an efficiency of 18%.
Lately, the so-called anti-solvent method has been used extensively to deposit high quality perovskite layers.14–17 This method is implemented into the conventional spin-coating method, which can use dimethylformamide (DMF), dimethylsulfoxide (DMSO) or γ-butyrolactone (GBL) as solvents for perovskite precursors. What makes this method different is the addition of a drop of a non-polar solvent into the mixture during the spin-coating stage in order to force the formation of nucleation centres. Thus far, the most used solvents for this method have been chlorobenzene (CB), toluene (TL) and diethyl ether (DE), also known as ether.18,19 Nevertheless, other solvents such as ethyl acetate (EA), xylene (XYL) and dichloromethane (DCM) are also being used, yielding good performance.19–21
The chemical and optoelectronic properties of the three cations are notably different. On one hand, the band gap of FAPbI3 is closer to the theoretical optimum.22 However, pure FAPbI3 presents low structural stability at room temperature, which is a disadvantage,11,23 thus needing MAPbI3 to reach a fair balance between efficiency and stability. On the other hand, inclusion of Cs enhances the stability of Br PSCs.24,25 In fact, caesium iodine perovskites forming CsPbI3 could provide a band gap of 1.73 eV, which is relatively close to the aforementioned theoretical optimum, but its bulk perovskite phase is solely stable at temperatures above 300 °C.26
Apparently, combining MA and FA cations also combines their advantages while avoiding their disadvantages. Nevertheless, a PSC with FA and Cs has been reported with enhanced thermal and humidity stability.27 Cs assists the crystallisation of FA faster and more effectively than MA does, due to a superior size difference.15 Although Cs may be deemed a low abundance element, its presence in the Earth's crust is comparable to other large-scale produced elements like Sn,24 thus demonstrating that the use of Cs is feasible. Indeed, the sufficient abundance of Cs in the Earth's crust compared with the rest of the elements is illustrated in a chart elaborated by the U.S. Geological Survey.28 Furthermore, Cs concentration in the Earth's crust is signally larger than that of other elements already used in photovoltaics, namely cadmium, tellurium, selenium and indium.
Environmental analyses of PSCs via the life cycle assessment (LCA) methodology have been reported to ensure an environmentally safer PSC development and assist PSC technology growth while respecting the environment.29–33 Recently, a comparison of PSCs with silicon solar cells and a tandem with both perovskite and silicon was performed.34 Furthermore, the four most common methods to produce PSCs were environmentally revised by us.35 This study also assessed a PSC regeneration method previously proposed36,37 and applied it to the four production methods considered.
Other studies addressed the inclusion of Cs and FA in PSCs. For instance, a LCA was individually applied to the whole life cycle of modules of five different types of perovskite, namely MAPbI2Cl, MAPbI3, FAPbI3, CsPbI3, and MASnI3 − xBrx.38 In this work, MAPbI3 and FAPbI3 were found to be the most harmful perovskites. However, results of the comparison of perovskites were clouded by the rest of the layer forming devices, such as the cathode and the anode made of fluorine-doped tin oxide (FTO). Another study collated a conventional MAPbX3 and a more stable CsFAPbX3 with other photovoltaic technologies.39
The aim of this work is to evaluate the ongoing trend of compositional engineering in PSCs through LCA from cradle to gate. Therefore, the focus is solely set on the perovskite layer. Furthermore, as layers apart from the perovskite layer would be roughly the same for every PSC studied, focusing the comparison on the perovskite layer is more meaningful. By isolating the perovskite layer, clear results of the environmental performance of the different compositions of perovskites combining the three Cs, FA and MA cations, as well as the reagents that contain them, are obtained here for the first time. Herein, the four compositions reported in the manuscript of Saliba et al.15 are contrasted with a canonical MAPbI3 perovskite synthesised and deposited according to Noh et al.40 As a consequence, the corresponding deposition methods for each type of perovskite are also contrasted. For a more realistic determination of the energy consumption, it has been directly measured for the preparation of cells at the laboratory scale. The energy used in the method to synthesise the multiple cation/anion perovskite was obtained by measuring the consumption in a laboratory environment. On the other hand, the energy consumption for the synthesis of the canonical perovskite was taken from our previous study, which was also based on direct measurements.35 Furthermore, the usage of materials for the synthesis of the multiple cation/anion perovskite is analysed to find the compounds responsible for the impact of the four compositions. A final economic analysis of the materials complements this assessment. Together with the economic cost of the materials, this analysis presents an economic payback time analysis of the materials used for the synthesis of all perovskites. The outcomes of this study are intended to support the scientific community to develop PSCs with the highest efficiencies and stabilities in a safe and environmentally respectful way, thus fulfilling one of the objectives of this technology. Furthermore, the results provided herein must give an approach about PSCs being able to compete with other well-established photovoltaic technologies in terms of environmental and economic performance. For the final application of a technology there are four important aspects that need to be considered: efficiency, stability, cost and impacts; while the implications of the two former ones are clear to the whole community, the repercussions of the latter ones are not as clear. This work focuses indeed on impact and cost, aiming to provide a more precise picture of the effective implementation of halide perovskite technology. Therefore, after this study PSCs are expected to be one step closer to industrial scale production.
In the work of Saliba et al.15 as well, a deposition using the anti-solvent method was simulated, which is illustrated in Fig. 1a. This method cannot easily be up-scaled for industrial applications;43 however we have decided to include it due to its extended use and to determine its impact from the point of view of LCA. In this study, for a perovskite deposition with an anti-solvent we consider a first step of spin-coating of the reagents with a mixture of (4:1) DMF and DMSO by volume at 1000 rpm for 10 s. This step was followed by another spin-coating step at 6000 rpm for 20 s, in which 100 μl of CB were dropped onto the mixture 5 s before the end of the step. Lastly, the substrate was annealed for 1 h at 100 °C. Energy consumption was directly measured from laboratory devices.
The deposition of the canonical perovskite, which is depicted in Fig. 1b, comprised first stirring the mixture of MAI and PbI2 reagents in GBL at room temperature for 10 minutes and then for 30 minutes at 70 °C. Then, the mixture was spin-coated at 500 rpm for 5 s and 2000 rpm for 60 s. Finally, the film was heated for 60 minutes at 100 °C. This procedure was extracted from our previous assessment.35
Composition | CsI | FAI | MABr | MAI | PbI2 | PbBr2 |
---|---|---|---|---|---|---|
0.00 | 0.0000 | 0.8300 | 0.1700 | — | 0.8300 | 0.1700 |
0.05 | 0.0500 | 0.7885 | 0.1615 | — | 0.8258 | 0.1743 |
0.10 | 0.1000 | 0.7470 | 0.1530 | — | 0.8215 | 0.1785 |
0.15 | 0.1500 | 0.7055 | 0.1445 | — | 0.8173 | 0.1828 |
Canonical | — | — | — | 1.0000 | 1.0000 | — |
Most of the inputs were calculated from datasets in Ecoinvent,44 namely electricity, transport, solvents and most of the reagents. However, FAI and CsI production processes could not be found in databases; they were therefore modelled from information in the literature. In particular, the synthesis of FAI was modelled from several reactions with hydrogen cyanide, hydroxylamine, acetic acid and hydroiodic acid as reagents.4,45,46 At the same time, CsI was modelled from a process of recovery of Cs from pollucite with sulphuric acid and hydroiodic acid as reagents.47 In addition, the characterisation factor of Cs for the abiotic depletion potential category was obtained from two different methods to compare them. The most utilised characterisation factor in this work was extracted from the literature.48,49 For the sake of presenting a comparison, an updated factor was estimated based on data from 2017,50,51 according to the methodology description.48
From the stoichiometric coefficients (Table 1) and the amount of perovskite, the amount of each reagent was obtained, which is reported in Table 2. The mass of the perovskite was calculated by multiplying the perovskite's density23 by the volume of perovskite deposited in the cell. The volume was obtained by multiplying 25 cm2 of the substrate area and 500 nm thickness of the perovskite layer, which were assumed.
Reagents/solvents | 0.00 | 0.05 | 0.10 | 0.15 | Canonical |
---|---|---|---|---|---|
CsI | 0 | 4.38 | 8.76 | 13.1 | |
FAI | 48.1 | 45.7 | 43.3 | 40.9 | |
MABr | 6.42 | 6.09 | 5.77 | 5.45 | |
MAI | 52.4 | ||||
PbI2 | 129 | 128 | 128 | 127 | 152 |
PbBr2 | 21.0 | 21.6 | 22.1 | 22.6 | |
DMF | 799 | 791 | 783 | 774 | |
DMSO | 233 | 230 | 228 | 226 | |
CB | 4440 | ||||
GBL | 307 |
The electric energy consumption of the multiple cation/anion perovskite used in the steps detailed in Fig. 1 was experimentally determined. The inventory of the overall electricity usage for the two methods is shown in Table 3. During the mixing and annealing steps 16 devices processed simultaneously were assumed.
Step | Anti-solvent method (J cm−2) | Conventional method (J cm−2) |
---|---|---|
Mixing | 36 | 171 |
Spin-coating (500 rpm) | 20 | |
Spin-coating (1000 rpm) | 144 | |
Spin-coating (2000 rpm) | 252 | |
Spin-coating (6000 rpm) | 288 | |
Annealing | 1647 | 1647 |
Total energy consumption | 2115 | 2090 |
Finally, there are two classes of inventory flows left to account for. These are the amount of transportation and the outputs released during the deposition. The amount of transportation was obtained from the distance of the supplier to Castelló (Spain), where the laboratories are located. Solvent releases during perovskite deposition were assumed to be similar to the amounts of solvent used. A complete inventory is described in ESI Tables S1–S7.†
Category | Abbreviation | Unit | Methodology |
---|---|---|---|
Abiotic depletion potential | ADP | kg Sb eq. | CML baseline V3.02 |
Abiotic depletion potential, fossil fuels | ADPF | MJ | |
Climate change potential | GWP | kg CO2 eq. | |
Ozone layer depletion potential | ODP | kg CFC-11 eq. | |
Photochemical oxidation potential | POP | kg C2H4 eq. | |
Acidification potential | AP | kg SO2 eq. | |
Eutrophication potential | EP | kg PO43− eq. | |
Cumulative energy demand | CED | MJ | Cumulative energy demand V1.09 |
Human toxicity, cancer effects | HTC | CTUh | Usetox V1.04 |
Human toxicity, non-cancer effects | HTNC | CTUh | |
Freshwater ecotoxicity | FET | CTUe |
Additionally, four determining categories were chosen. From the cumulative energy demand method (CED),53 the total cradle-to-gate energy invested in the perovskite layer is obtained by adding the cumulative energies obtained from renewable and non-renewable sources. This category allows contrasting the energy invested to produce it with the energy obtained from it. Owing to the concerning content of lead in PSCs, it is necessary to introduce into the assessment the impact categories human toxicity cancer (HTC), human toxicity non-cancer (HTNC) and freshwater ecotoxicity (FET) from the USEtox V1.04 method.54
The CML, CED and USEtox methods are incorporated within SimaPro® 8.0.3.14 software.55 In this manuscript, the abbreviations listed in Table 4 are used to name the selected impact categories.
Outcomes of the comparison of environmental impacts of the four compositions of perovskite containing Cs, FA, MA, I and Br with the canonical perovskite, which is composed of just MA and I, are quite homogeneous for all categories, except for the ADP category. In general, they show that multiple cation/anion perovskite compositions are more harmful than the canonical perovskite, except for ADP where the impact of the canonical perovskite surpasses that of the multiple cation/anion perovskites.
A comprehensive table with the absolute outcomes of the five different perovskite compositions compared here is available in ESI Tables S9–S13.† In addition, the impact distribution of the flows of inputs and outputs of the process of the perovskite synthesis and deposition is presented in the ESI (see Fig. S1†). The total impact results for multiple cation/anion perovskite impacts are very analogous among them. Approximately, the canonical perovskite impact is just 92% that of the multiple cation/anion perovskite with x = 0 impact, which is the most harmful among triple cation perovskites for all categories. This fact is true except for ODP, POP and EP categories, where the canonical perovskite reaches 77%, 75% and 87% of the x = 0 perovskite, respectively. The little deviation stems from a slightly larger impact of multiple cation/anion perovskite reagents and energy consumption.
However, for the ADP category, the multiple cation/anion perovskite impact is predominant, being roughly 92% with respect to the canonical perovskite impact. The reason behind this lies in the fact that the main group of inputs responsible for the impact of the ADP category is the synthesis reagents, mainly PbI2, whose impact is bigger for the canonical perovskite. There is little difference of impact amongst multiple cation/anion perovskites, as the amount of synthesis reagents used is identical. Generally, for this category, energy consumption is not as determinant as for the rest of the categories. Although Cs impact is negligible for the ADP category and unappreciable for the rest of the categories, its ADP characterisation factor (ADPF) needs a revision because it might be outdated. Because the ADPF utilised for this study is taken from the literature of 2002,48,49 ADPF was updated to 2017.50,51 Further details about the updating can be seen in the ESI.†
Nevertheless, the impact due to the different materials and processes employed in the fabrication of multiple cation/anion perovskites in comparison with the canonical perovskite is evident when energy consumption is not considered in the total impacts (see Fig. 2). MA0.17FA0.83Pb[I0.83Br0.17]3 is the most harmful perovskite, and the impact of multiple cation/anion perovskites decreases as the content of Cs increases. However, variations do not differ more than 5% for any category. On the other hand, the impacts of the canonical perovskite are just 15–55% of the impact of MA0.17FA0.83Pb[I0.83Br0.17]3 perovskite, the most harmful one, depending on the impact category except for ADP where the canonical perovskite has more impact, for the reason previously mentioned.
Fig. 2 clearly reflects that the canonical perovskite is significantly less harmful than the multiple cation/anion perovskite when energy use is not considered. A closer and more precise view of the contributions of the reagents and the solvents for the deposition of the here studied compositions of multiple cation/anion perovskites in comparison to the canonical perovskite is detailed in Fig. 3. In this analysis, the most determining categories to assess PSCs are selected, which are GWP, CED, HTC and HTNC.
Lead reagents are among the most pernicious compounds. For HTC and HTNC categories, PbI2 is the major contributor to the overall impact, which is attributed to the larger quantity of it used for the synthesis of the perovskites. However a similar impact is produced by the PbI2 in canonical samples than by the sum of the impacts originating from PbI2 plus PbBr2 in multiple cation/anion perovskite layers. The huge differences in the impacts among multiple cation/anion and canonical perovskite layers are due to the use in the former of CB in the anti-solvent method and FAI instead of MAI, where the latter generates lower impact. The CB used for the anti-solvent method has a slightly lower impact for HTC and HTNC categories. However, for GWP and CED categories CB is responsible for the highest contribution to the overall impact, where PbI2 is the second highest contributing compound. The great contribution of CB stems from the fact that the amount used is the highest among all compounds, despite its little impact per kg in comparison with PbI2. Impact improvements for a possible optimisation of CB are analysed in the ESI.† Results of this analysis reveal that despite the reductions in chlorobenzene usage, except for the ADP category, the overall impacts of the multiple cation/anion perovskites would not reach the impact extent of the canonical perovskite shown in Fig. 2. The up-scaling of anti-solvent technology to move from lab scale cells to large substrates is not straightforward at all from the technological point of view.43 Here we show that the anti-solvent method also has an important deleterious effect on the impacts generated and should consequently be exchanged by a lower impact method in the future commercialization of perovskites.
Among the reagents that supply the three cations, FAI emerges as the most adverse, which is also the reagent that varies the most with composition and therefore the reagent that eventually determines the result. Most of its impact stems from the energy used to synthesise it, as its synthesis from hydroiodic acid and formamidine acetate is performed in a laboratory environment. In particular, the most detrimental step of this process is a final treatment in a vacuum oven at 60 °C for 24 h.4 By reducing the operating time of this treatment, impacts of the multiple cation/anion perovskites would not decrease as much as those of the canonical perovskite. Nonetheless, for GWP, CED, HTC and HTNC categories, the impact of FAI is less adverse than that of the cation supplier reagent for canonical perovskite (MAI) when this operational time goes below 6 hours.
Meanwhile, the contribution of MABr is vague and the contribution of CsI is not visible because small amounts of them are used. Along with the fact that a greater amount of FAI is used for the synthesis of the multiple cation/anion perovskites, its impact per kg of reagent is the highest of the three reagents that supply cations, making the MA0.17FA0.83Pb[I0.83Br0.17]3 perovskite the most harmful, where the impact is reduced when x increases due to the fact that a smaller amount of FAI is used as it is partially substituted by CsI.
Usage of solvents produces a considerably smaller impact with respect to the reagents. DMF solvent causes a superior impact compared to DMSO, both considerably inferior to that of CB. In contrast to preceding studies,30,38 perovskite deposition solvent impacts are generally of trivial magnitude. This statement is true provided that CB would not be treated as such since it satisfies the extra function of removing solvents used for the deposition. DMF, PbBr2 and CsI are the only flows whose impact increases with the Cs content. Meanwhile, the remaining flow impacts decrease with the amount of Cs. Moreover, the CB impact remains constant because its amount does not vary with the different compositions.
Fig. 4 Cost in euros of materials for the deposition of the perovskite active layer for each of the PSCs analysed. Energy is not included in this analysis. |
From Fig. 4, the canonical perovskite is found to be the most economical type by virtue of the lower quantity of compounds used. The principal compound behind the higher cost of multiple cation/anion perovskites in comparison with the canonical composition is FAI. In fact, the cost of multiple cation/anion perovskites is roughly·1 € m−2 higher than that of the canonical perovskite, which matches approximately with the cost of FAI. Furthermore, this difference decreases with the Cs content used favoured by the subsequent reduction in the cost of FAI. Among the multiple cation/anion perovskites the cheapest composition is the one with x = 0.15 with the highest content of Cs and consequently the lowest content of FA. Despite the determining character of FAI and its highest cost per mass unit, PbI2 with the second highest cost per mass unit is the most expensive reagent used in the whole composition; however in the multiple cation/anion perovskites the cost is slightly mitigated by the introduction of the Br anion and the consequent use of the PbBr2 precursor, significantly cheaper than PbI2 (see Table S8†). DMF and DMSO solvent cost is lower than the CB cost; nonetheless the cost of these three compounds is neither important nor determining for the total cost.
Given that PSCs can be an economic source from the energy generated, a cost payback time analysis was performed for the perovskite layer. Because the canonical perovskite has the lowest perovskite layer cost with respect to the rest of the perovskites analysed here, the payback time will be lower for the canonical perovskite if the efficiencies of the cells are similar. Hence, the multiple cation/anion perovskites can only achieve the same payback time by an increase of cell efficiency. In Fig. 5, the efficiency of a multiple cation/anion perovskite with x = 0.10 (the perovskite with the highest reported efficiency in its original manuscript),15 left axis, is plotted against the efficiency of the canonical perovskite cell in order that both present the same payback time. In order to execute this cost payback time analysis, the money saved due to the electricity produced by two theoretical photovoltaic devices based on the perovskites studied counteracts the initial cost of the perovskite layer. It has been calculated considering the perovskite layer cost (see Fig. 4) and the price of 1 MJ of electricity in Spain. The amount of electricity generated by the theoretical photovoltaic devices was obtained by assuming a solar constant of 1 kW m−2 in Spain and no efficiency losses due to ambient temperature. This analysis calculates the efficiency that the perovskite with x = 0.10 of Cs should have to recover the money invested on its synthesis and deposition in the same time as that needed in the case of the canonical perovskite. The difference between the efficiencies of the multiple cation/anion and canonical perovskites to get the same payback time is represented by the right axis in Fig. 5, to facilitate the comprehension of this analysis.
Fig. 5 Equal cost payback time for the perovskite with x = 0.1 of caesium and canonical perovskite PSCs. |
The payback cost analysis in Fig. 5 reveals that the efficiency necessary to recover the money invested in the synthesis and deposition of a canonical perovskite with an efficiency of 16%, for a perovskite with x = 0.10 of Cs is a little below the current published record efficiency of 22.7%,4,56,57i.e. the efficiency of the multiple cation/anion perovskite has to be 1.38 times the efficiency of the canonical perovskite to make the payback cost equal. However, experimental results point to the fact that organic–inorganic perovskites are attaining increased stabilities in comparison to perovskites with utterly organic cations; whereas results also reveal that the former achieve lower efficiencies.58 If a 20% of efficiency in the canonical perovskite were assumed, a roughly 28% efficient multiple cation/anion would be necessary to get the same economic payback time, which is above the current record. Nevertheless, if a similar efficiency is attained, multiple cation/anion perovskite will present the upside of having a superior stability. As a result, the economic benefits from the multiple cation/anion will be much higher because both a higher efficiency and a longer lifetime. Furthermore, the time that could take to recover the money invested in the deposition of the perovskite layer with these aforementioned efficiencies is below 100 of minutes. Current perovskite efficiencies endure thousands of hours maintaining a quite similar efficiency,15,59 which is well above the time that takes to recover the money invested in the deposition of these perovskites.
Footnote |
† Electronic supplementary information (ESI) available: Inventory data, impact scores, further analyses, and abiotic depletion characterisation factor update. See DOI: 10.1039/c8se00053k |
This journal is © The Royal Society of Chemistry 2018 |