A TOC- and deposition-free electrochromic window driven by redox flow battery

Jinlong Li Ruixin Li Jiahui Liu Ji-Quan Liu Jia Xu Xianglin Zhou Yefan Zhang Kairui Wang Lin Lei Gang Xie Fengmei Wang Ying Yang Liping Cao

Citation:  Jinlong Li, Ruixin Li, Jiahui Liu, Ji-Quan Liu, Jia Xu, Xianglin Zhou, Yefan Zhang, Kairui Wang, Lin Lei, Gang Xie, Fengmei Wang, Ying Yang, Liping Cao. A TOC- and deposition-free electrochromic window driven by redox flow battery[J]. Chinese Chemical Letters, 2024, 35(12): 110355. doi: 10.1016/j.cclet.2024.110355 shu

A TOC- and deposition-free electrochromic window driven by redox flow battery

English

  • Building energy consumption covers 30%~40% of global total energy consumption, ca. 1/3 of which is used for maintaining indoor comfort, such as heating, ventilation, and air-conditioning (HVAC) [13]. Of such huge energy consumption, ca. 45% is related to windows (e.g., natural daylighting and solar heat) [46]. Static controls (e.g., blinds or shades) are driven by mechanical force, however, they inevitably meet inconvenience in transportation, storage, and installation. Compared to these, the electrochromic smart windows can modulate optical transmittance dynamically via reversible electrochromic reactions [710], aligning with "green architecture" principles. Generally, electrochromic devices possess a sandwich structure containing transparent substrates, ion storage conductive layers, electrochromic conductive layers, and electrolyte layer (Scheme 1) [1012]. The brief production process, period, and price of electrochromic glass are provided in Fig. S1 (Supporting information). Of course, manufacturing costs and process simplification for large-area electrochromic windows are challenging issues for wide applications [13,14]. The concept of TOC-free electrochromic windows has been developed by Wang et al. [15,16], based on redox-flow systems. In these works, electrochromic materials are employed in fabricating the coating layer, such as Prussian blue and TiO2.

    Scheme 1

    Scheme 1.  Representation and comparison of electrochromic windows as well as the advantages of present work.

    The present work employs an electrochromic electrolyte to tune light transmission in the smart window. It merits the advantage of avoiding the deposition process for fabricating the electrochromic layer. In this case, a seven-layered sandwich can be replaced by a three-layered one, reaching the goal of cost-effectiveness (Scheme 1). The abundance of electrochromic electrolytes in RFB provides a vast range of selection and possibilities [1719]. A wide range of color control can be achieved to meet different application scenarios via adjusting applied current and voltage, as well as electrolyte concentration and composition. In contrast to traditional electrochromic layers, this electrochromic electrolyte can be regenerated by updating the electrolyte in the storage tank. As a proof of concept, a phenanthroline-based metal complex (Fe(phen)3Cl2) is employed as the electrochromic electrolyte, and the transmittance of the electrochromic window is modulated by an RFB system.

    In RFB, considerable progress has been achieved in developing posolytes containing iron (Fe) and its complexes, which merit the advantages of low cost and environmental friendliness [2022]. Inspired by this, Fe(phen)3Cl2 is synthesized by a reaction between phenanthroline and FeCl2·4H2O in acetonitrile under reflux conditions (Fig. 1a). Red solid is obtained after column chromatography. Its chemical shifts (δ 8.80, 8.40, and 7.73 ppm) in 1H NMR spectrum (Fig. S2 in Supporting information) and m/z 298.0635 in the high-resolution mass spectrum (Fig. S3 in Supporting information) confirm the success of synthesis. The molecular coordination is characterized by single-crystal X-ray diffraction, and its crystallographic data is listed in Table S1 (Supporting information), together with details of data collection and refinement. Similar to the literature [23], Fe(phen)3Cl2 crystallizes in the triclinic crystal structure, and its ORTEP diagram is shown in Fig. 1a and Fig. S1. In this distorted octahedral coordination, the average Fe−N bond length, N−Fe−N bite angle, and trans angle for opposite N atoms are 1.976~1.973 Å, 82.83°~83.06°, and 174.8°~175.93° (Tables S2 and S3 in Supporting information), respectively.

    Figure 1

    Figure 1.  (a) Synthesis and ORTEP diagram of Fe(phen)3Cl2. (b) Schematic drawing of RFB. (c) CV and (d) diffusion coefficients of Fe(phen)3Cl2 posolyte and BTMAP-Vi negolyte. (e) Plots of OCV, high frequency, and polarization ASR at various SOCs of RFB. (f, g) GCD curves and corresponding round-trip CE, VE, EE and utilization efficiency at different current densities. (h, i) Stability performance under current density of 7 mA/cm2.

    In RFB (Fig. 1b), Fe(phen)3Cl2 acts as a posolyte compound. Commercially available BTMAP-Vi is employed as a negolyte when considering its robust nature [24]. As illustrated by cyclic voltammetry (CV, Fig. 1c and Fig. S5 in Supporting information), the redox reaction for posolyte compound Fe(phen)3Cl2 involves one electron transfer with redox potential (E1/2) of 0.836 V vs. SCE, while BTMAP-Vi serves as negolyte active molecule with E1/2= −0.592 V vs. SCE for first electron redox reaction. Both exhibit good reversibility (Fig. S6 in Supporting information). In detail, the anodic peak current density decreases by 15% after 100 cycles when compared with the second cycle for Fe(phen)3Cl2, while the cathodic one increases by 5%. For BTMAP-Vi, its current densities incline by 9.7% for the anodic peak but decline by 14.4% for the cathodic peak. The kinetics of redox couples are evaluated via CV at various scan rates (Fig. S7 in Supporting information). Based on the Randles-Sevcik equation, diffusion coefficients for oxidized state (DO) and reduced state (DR) of [Fe(phen)3]3+/[Fe(phen)3]2+ are determined to be 2.743 × 10−6 and 1.457 × 10−6 cm2/s (Fig. 1d), respectively. They are in the same range of reported ferric complexes (2.3~2.8×10−6 cm2/s) [21,25,26]. In the same way, the first redox state D1O and D1R of [BTMAP-Vi]3+ and [BTMAP-Vi]4+ are measured to be 4.836 × 10−6 and 2.736 × 10−6 cm2/s, respectively, comparable to reported ones [27].

    The performance of RFB is optimized and evaluated under various conditions. Initially, the impact of ion exchange membrane is investigated, and the Nafion 117 cation membrane is selected to separate posolyte and negolyte (Table S4, Figs. S8 and S9 in Supporting information). As illustrated in Fig. 1e, the RFB delivers a working voltage of 1.428 V. Its open circuit voltage (OCV) increases from 1.386 V at 10% SOC to 1.475 V at 50% SOC, and further to 1.581 V at 90% SOC. Across all SOC ranges, the high-frequency area-specific resistance (ASR) of the battery is measured to be 4.9 Ω/cm, which comes from membrane resistance and is also affected by the presence of acetonitrile residue (Fig. S10 in Supporting information). The polarization resistance varies in the range of 6.56~6.61 Ω/cm. Namely, ca. 88% of total resistance derives from constant membrane resistance, while the rest 12% is due to kinetic losses in reducing ferric complex and its dimerization [21].

    Galvanostatic charging and discharging (GCD) curves are displayed in Figs. S11a–c (Supporting information), at the applied current density of 3~5 mA/cm2. Two discernable discharge plateaus are obtained at 1.5~1.1 V and 0.3~0 V, respectively. The presence of ferric dimer [Fe2O(phen)4Cl2]2+ with low redox potential accounts for the presence of a second discharge plateau (Scheme S1 in Supporting information) [21,22]. It derives from the dimerization of Fe(phen)3Cl2 with releasing of protonated ligand (H(phen)+). More dimers are generated at lower current density, owing to extended discharging reaction time. Nevertheless, this trivially affects the volume capacity, since the reverse reaction could happen between [Fe2O(phen)4Cl2]2+ and H(phen)+, and affords [Fe(phen)3]2+ [21,22]. A trade-off effect is obtained between Coulombic efficiency (CE) and voltage efficiency (VE) at different discharge voltage cut-offs (Fig. S12 in Supporting information). Under the current density of 5 mA/cm2, CE reaches 63% at relatively low VE (88%) at 1.0 V discharge voltage cut-off, whilst 98% CE and 46% VE are obtained at 0.001 V discharge voltage cut-off. The incomplete release of storage energy (utilization of capacity) at high voltage cut-off accounts for relatively poor CE. Under large current density, the first discharge plateau extended at the expense of the second discharge plateau (Figs. S11d–i in Supporting information). This means large current density is beneficial to battery performance. To avoid dimmer formation during the discharge process, the discharge voltage cut-off is set to be 1.0 V, and battery performance is further evaluated at different current densities (7~20 mA/cm2) for the first discharge plateau (Fig. 1f). When increasing the current density, the charge plateau ascends, accompanied by a descent of the discharge plateau. The declined capacity utilization efficiency is attributed to increased ohmic resistance at large current density, as well as overpotential related to mass transport (polarization). Under optimized current density (7 mA/cm2), the charge and discharge volume capacities are 131.73 and 127.70 mAh/L, which correspond to 98.31% and 95.36% of theoretic capacity. At the same time, the battery exhibits 96.45% CE, 92.75% VE, and 89.46% EE (Fig. 1g). The impact of electrolytes on the electrochemical performance and recyclability of Fe(phen)3Cl2 is investigated as well, and glycine-HCl buffer with a pH of 2.5 turns out to be the optimal electrolyte (Fig. S13 in Supporting information). Under optimized conditions (current density 7 mA/cm2, glycine-HCl buffer, pH 2.5), the battery is charged and discharged between 1.8 V and 0.001 V (Fig. 1h). During 20 cycles, the average CE, VE, and EE reach 93.25%, 92.61%, and 86.35% (Fig. 1i and Fig. S14 in Supporting information). The volume capacity at the first cycle is 117.34 mAh/L (87.31% of theoretic value) and declines to 80.48 mAh/L (60.10% of theoretic value). The capacity fading rate is 1.57% per cycle, better than one without glycine-HCl butter (Figs. S8 and S9 in Supporting information). Self-discharge of [Fe2O(phen)4Cl2]2+ and its precipitation may lead to capacity decay (Scheme S1), together with the crossover of H(phen)+ [21,22]. Another possibility is the decomposition of Fe(phen)32+ and Fe(phen)33+ in aqueous electrolyte (Scheme S2 in Supporting information), which, however, can be efficiently retarded by introducing glycine-HCl buffer.

    The absorption spectra of [Fe(phen)3]3+/[Fe(phen)3]2+ in the UV–vis region are recorded at various SOCs (Fig. 2a). At SOC of 0%, the absorption maximum wavelength (λmax) of the posolyte appears at 510 nm (Fig. S15 in Supporting information). This is ascribed to the excitation of [Fe(phen)3]2+ from low spin singlet state (1A1) to metal-to-ligand charge transfer state (1MLCT) [28,29]. Its aqueous solution is featured in an orange-red color. After oxidation, λmax shifts to 610 nm for [Fe(phen)3]3+ (or Fe(III) complexes, Fig. S16 in Supporting information) [30]. This absorption derives from π→t2g ligand-to-metal charge transfer (LMCT) over Fe(phen)3+ [31]. During the galvanostatic charging process (Fig. 2b), the posolyte SOC increases and its color trajectory is depicted in the International Commission on Illumination (CIE) 1931 color space (Fig. 2c). In this curved segment (ABCDEFG), the red-to-blue ratios (x) decline from 0.59 to 0.23, and the green-to-blue ratios (y) decrease from 0.37 (A) to 0.26 (G). In the discharging process, however, its color trajectory (GF'E'D'C'BA) does not coincide with the A-to-G curve. The main difference relies on x values. Taking 30% SOC for instance (y = 0.36), its x values are equal to 0.42 and 0.48 in charging and discharging processes, respectively. For [Fe(phen)3]3+ and [Fe(phen)3]2+, their stability constants (lgKstab) are 14.1 and 21.3 [3134], respectively. Compared to the reduced state, relatively low stability constant and irreversible degradation of [Fe(phen)3]3+ at high oxidation state might account for the observed inconformity in color trajectories.

    Figure 2

    Figure 2.  (a, b) Absorbance changes and color change of posolyte at different SOC. (c) CIE chromaticity coordinates charts and color trajectory. (d, e) Transmittance response curves. (f) Coloration efficiency. (g) Transmittance stability curve in long-term GCD test.

    The optical modulation (ΔT) is defined as the transmittance difference of bleached (Tb(λ)) and colored state (Tc(λ)). At λ = 510 nm, ΔT of posolyte firstly increases along the concentration and reaches a maximum of 88.66% (0.5 mol/L), and thereafter declines drastically. Then, the electrochromic behaviors of the posolyte are characterized via in-situ recording of transient transmittance at λ = 510 nm. Under chronoamperometry, the continuous switches between colored (100% SOC) and decolored states (0% SOC) are carried out at current density of 2 mA/cm2 for 200 s each (Fig. 2d). In accordance, the response time is estimated to be 101 s in the reduction process and increases to 110 s in the oxidation process (Fig. 2e). Namely, the coloration/decoloration switching can be achieved within 2 min, slightly shorter than the redox system between redox shuttle anthraquinone-2, 6-disulfonate (AQDS) and targeting material K3Fe4[Fe(CN)6)]3 [15]. The obtained response time is lower than the theoretic value (120.5 s), relating to incomplete capacity utilization during the redox reactions. The difference in response time in reduction and oxidation processes is again correlated to low logKstab and irreversible degradation of [Fe(phen)3]3+. The energy consumption in the electrochromic process is evaluated via coloration efficiency (η) based on its definition Eq. 1 [35]. Here, ΔOD is the variation of optical density, defined as lg(Tb/Tc). Q and A represent the consumed charge and electrode surface area. At λ = 510 nm, η = 9.36 C−1 is obtained for posolyte (Fig. 2f). Compared to solid (or condensed) electrochromic material, large electrolyte volume in the electrochromic window and RFB system mainly accounts for its low η value. At a given concentration (c), Q increases linearly with electrolyte volume (V) according to Faraday's law Q = zFcV (z = 1). In the presence system, η would be 46 cm2/C when V reduces to 1 mL. The recycling stability is investigated as well (Fig. 2g). This system can work stably over 12000s. After 25 cycles, ΔT declines to 72.34%, which is related to the partial degradation of [Fe(phen)3]3+.

    (1)

    In real practice, an electrochromic window (4.5 cm × 5.5 cm × 1.0 cm) is equipped/installed on a model house (Fig. 3a, Figs. S17 and S18 in Supporting information) to tune the transmittance of simulated sunlight (300 W Xe lamp). The indoor temperature is monitored by a thermometer. In the absence of electrolyte (blank), the temperature increases drastically from 22.0 ℃ to 31.2 ℃ within 35 min and reaches 32.6 ℃ after 180 min (Fig. 3b). Under the same irradiation, different temperature trends are obtained in the presence of posolyte. Under various SOC states, the sequence of maximum temperature is 100% SOC < 10% SOC < 0% SOC < 30% SOC < 90% SOC < 50% SOC < 70% SOC. For posolyte at 100% SOC, the indoor temperature surges to 27.3 ℃ after 45 min irradiation and inclines smoothly to its maximum (29.3 ℃) thereafter. Considering the absorbed solar energy mainly emits to the surroundings (indoor air and posolyte), water is employed in the control experiment. Its temperature profile is similar to the blank one, where the maximum indoor temperature reaches 32.2 ℃. This means posolyte itself mainly contributes to declined temperature under irradiation. Referring to water control, the declined indoor temperature (ΔTindoor) is calculated via Eq. 2. With redox-flow electrochromic window, the saved energy can be reflected by heat difference (ΔQindoor), which can be calculated by Eq. 3 for a house (indoor space V = 100 m3) with identical glazing ratio to the model house (window-wall ratio of 0.0274). The specific heat capacity (c) and density (ρ) of air are 103 J/kg and 1.29 kg/m3, respectively.

    (2)

    (3)

    Figure 3

    Figure 3.  (a) Schematic drawing and photographs of the electrochromic window, RFB system, and as-prepared house model. (b) Indoor temperature variations along irradiation time at different SOCs. (c) Declined indoor temperature and COE when referring to water.

    Assuming this indoor temperature difference ΔTindoor is modulated by an air conditioner, the consumed electric energy (We) is estimated via Eq. 4 [36], where EER is the energy efficiency ratio of the air conditioner. The calculation details and obtained results are summarized in Fig. 3c and Tables S4 and S5 (Supporting information). The minimum We saved in a 100 m3 house is 66.72 kJ (0.0185 kWh). Then, the COE amount is obtained according to Eq. 5, where 0.998 kg/kWh is the standard coal emission factor for 1 kWh of electricity [37]. At SOC of 100%, the reduced COE reaches a maximum (0.0185 kg). On the contrary, a posolyte with 70% SOC exhibits the lowest efficiency in modulating indoor temperature. The electricity consumed by pumps for circulating electrolytes in the double-layered window and RFB is estimated to be 3.38 and 1.13~1.69 Wh, respectively. To be noted, solar cells can be employed to drive the pump. This would make our electrochromic window and RFB system more sustainable in saving energy.

    (4)

    (5)

    To sum up, triclinic crystalline Fe(phen)3Cl2 is employed as a posolyte in the electrochromic window and RFB system, and its redox stability is improved in the glycine-HCl buffer. Coupled by BTMAP-Vi negolyte, an OCV of 1.475 V at 50% SOC is achieved for RFB. The absorption difference of [Fe(phen)3]3+/[Fe(phen)3]2+ is utilized to modulate the transmittance of the model house and indoor temperature. Compared to circulating water, the indoor temperature decreased by 0.7~3 ℃ at various SOCs of posolyte. For maximum ΔTindoor = 3 ℃, ca. 0.0185 kWh electric energy is saved in a 100 m3 house, corresponding to declined COE of 0.0185 kg. It can be operated stably for over 12000s with 72.34% optical modulation preservation and a capacity fading rate of 1.57% per cycle. As a prototype of the electrochromic window, this work provides a cost-efficient strategy to reduce its cost, however, more works are still needed in developing electrochromic molecules with high stability and coloration efficiency concerning long-term operation and fast response.

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

    Jinlong Li: Writing – original draft, Investigation, Data curation. Ruixin Li: Writing – original draft, Methodology, Investigation. Jiahui Liu: Investigation, Data curation. Ji-Quan Liu: Investigation, Data curation. Jia Xu: Investigation, Data curation. Xianglin Zhou: Investigation, Data curation. Yefan Zhang: Investigation, Data curation. Kairui Wang: Resources. Lin Lei: Resources, Methodology. Gang Xie: Resources. Fengmei Wang: Resources, Methodology, Conceptualization. Ying Yang: Writing – review & editing, Validation, Methodology, Funding acquisition, Conceptualization. Liping Cao: Writing – review & editing, Supervision.

    The authors appreciate the financial supports from the National Natural Science Foundation of China (No. 22122108) and the Luohe Xinwang Chemical Co., Ltd., China. The "Top-rated Discipline" construction scheme of Shaanxi higher education in China supported part of this work.

    Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.cclet.2024.110355.


    1. [1]

      B. Richter, D. Goldston, G. Crabtree, et al., Rev. Mod. Phys. 80 (2008) S1–S109. doi: 10.1103/RevModPhys.80.S1

    2. [2]

      X. Cao, X. Dai, J. Liu, Energy Build. 128 (2016) 198–213. doi: 10.1016/j.enbuild.2016.06.089

    3. [3]

      D.M. Kammen, D.A. Sunter, Science 352 (2016) 922–928. doi: 10.1126/science.aad9302

    4. [4]

      A. Ghosh, R. Hafnaoui, A. Mesloub, et al., J. Build. Eng. 84 (2024) 108644. doi: 10.1016/j.jobe.2024.108644

    5. [5]

      S. Grynning, A. Gustavsen, B. Time, B.P. Jelle, Energy Build. 61 (2013) 185–192. doi: 10.1016/j.enbuild.2013.02.029

    6. [6]

      Q. Tushar, M.A. Bhuiyan, G. Zhang, J. Cleaner Produc. 330 (2022) 129936. doi: 10.1016/j.jclepro.2021.129936

    7. [7]

      C. Gu, A.B. Jia, Y.M. Zhang, S.X.A. Zhang, Chem. Rev. 122 (2022) 14679–14721. doi: 10.1021/acs.chemrev.1c01055

    8. [8]

      H. Gong, W. Li, G. Fu, et al., J. Mater. Chem. A 10 (2022) 6269–6290. doi: 10.1039/d1ta10970g

    9. [9]

      H. Fu, L. Zhang, Y. Dong, C. Zhang, W. Li, Mat. Chem. Front. 7 (2023) 2337–2358. doi: 10.1039/d3qm00121k

    10. [10]

      S. Wu, H. Sun, M. Duan, et al. Cell Rep. Phys. Sci. 4 (2023) 101370. doi: 10.1016/j.xcrp.2023.101370

    11. [11]

      V.K. Thakur, G. Ding, J. Ma, P.S. Lee, X. Lu, Adv. Mater. 24 (2012) 4071–4096. doi: 10.1002/adma.201200213

    12. [12]

      C.G. Granqvist, M.A. Arvizu, İ. Bayrak Pehlivan, et al., Electrochim. Acta 259 (2018) 1170–1182. doi: 10.1016/j.electacta.2017.11.169

    13. [13]

      Cost-benefit analysis of smart glass, https://www.smartglassworld.net/cost-benefit-smart-glass.

    14. [14]

      C.M. Lampert, Sol. Energy Mater. Sol. Cells 76 (2003) 489–499. doi: 10.1016/S0927-0248(02)00259-3

    15. [15]

      R. Yan, L. Liu, H. Zhao, et al., J. Mater. Chem. C 4 (2016) 8997–9002. doi: 10.1039/C6TC03330J

    16. [16]

      J.R. Jennings, W.Y. Lim, S.M. Zakeeruddin, M. Grätzel, Q. Wang, ACS Appl. Mater. Interfaces 7 (2015) 2827–2832. doi: 10.1021/am508086u

    17. [17]

      Z. Zhao, X. Liu, M. Zhang, et al., Chem. Soc. Rev. 52 (2023) 6031–6074. doi: 10.1039/d2cs00765g

    18. [18]

      Z. Li, Y.C. Lu, Adv. Mater. 32 (2020) 2002132. doi: 10.1002/adma.202002132

    19. [19]

      P. Poizot, J. Gaubicher, S. Renault, et al., Chem. Rev. 120 (2020) 6490–6557. doi: 10.1021/acs.chemrev.9b00482

    20. [20]

      Q. Xu, S. Wang, C. Xu, et al., Chin. Chem. Lett. 34 (2023) 108188. doi: 10.1016/j.cclet.2023.108188

    21. [21]

      J. Gao, K. Amini, T.Y. George, et al., Adv. Energy Mater. 12 (2022) 2202444. doi: 10.1002/aenm.202202444

    22. [22]

      W. Ruan, J. Mao, S. Yang, Q. Chen, J. Electrochem. Soc. 167 (2020) 100543. doi: 10.1149/1945-7111/ab9cc8

    23. [23]

      V.V. Avdeeva, A.V. Vologzhanina, L.V. Goeva, E.A. Malinina, N.T. Kuznetsov, Z. Anorg. Allg. Chem. 640 (2014) 2149–2160. doi: 10.1002/zaac.201400137

    24. [24]

      S. Liu, M. Zhou, T. Ma, et al., Chin. Chem. Lett. 31 (2020) 1690–1693. doi: 10.1016/j.cclet.2019.11.033

    25. [25]

      M.T. Carter, M. Rodriguez, A.J. Bard, J. Am. Chem. Soc. 111 (1989) 8901–8911. doi: 10.1021/ja00206a020

    26. [26]

      X. Li, P. Gao, Y.Y. Lai, et al., Nat. Energy 6 (2021) 873–881. doi: 10.1038/s41560-021-00879-6

    27. [27]

      X.L. Lv, P. Sullivan, H.C. Fu, et al., ACS Energy Lett. 7 (2022) 2428–2434. doi: 10.1021/acsenergylett.2c01198

    28. [28]

      J. Tribollet, G. Galle, G. Jonusauskas, et al., Chem. Phys. Lett. 513 (2011) 42–47. doi: 10.1016/j.cplett.2011.07.048

    29. [29]

      B.C. Paulus, K.C. Nielsen, C.R. Tichnell, M.C. Carey, J.K. McCusker, J. Am. Chem. Soc. 143 (2021) 8086–8098. doi: 10.1021/jacs.1c02451

    30. [30]

      A.A.G.A. Al Mahdi, M.A. Hussein, C.C. Joubert, J.C. Swarts, C.R. Dennis, Polyhedron 81 (2014) 409–413. doi: 10.1016/j.poly.2014.06.031

    31. [31]

      S. Sahami, R.A. Osteryoung, Inorg. Chem., 23 (1984) 2511–2518. doi: 10.1021/ic00184a028

    32. [32]

      M.A. Proskurnin, V.V. Chernysh, M.Y. Kononets, S.V. Pakhomova, Russ. Chem. Bull. 54 (2005) 124–134. doi: 10.1007/s11172-005-0227-2

    33. [33]

      B. Zhang, S. Liu, Y. Zhu, et al., Univ. Chem. 37 (2022) 2110066.

    34. [34]

      T.S. Lee, I.M. Kolthoff, D.L. Leussing, J. Am. Chem. Soc. 70 (1948) 2348–2352. doi: 10.1021/ja01187a012

    35. [35]

      H. Sun, W. Wang, Y. Xiong, et al., Chin. Chem. Lett. 35 (2024) 109213. doi: 10.1016/j.cclet.2023.109213

    36. [36]

      M.F.H. Rani, Z.M. Razlan, A.B. Shahriman, et al., IOP Conf. Ser. : Mater. Sci. Eng. 429 (2018) 012070. doi: 10.1088/1757-899x/429/1/012070

    37. [37]

      B. Cheng, Z. Chen, B. Yu, et al., IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 13 (2020) 675–684. doi: 10.1109/jstars.2020.2971266

  • Scheme 1  Representation and comparison of electrochromic windows as well as the advantages of present work.

    Figure 1  (a) Synthesis and ORTEP diagram of Fe(phen)3Cl2. (b) Schematic drawing of RFB. (c) CV and (d) diffusion coefficients of Fe(phen)3Cl2 posolyte and BTMAP-Vi negolyte. (e) Plots of OCV, high frequency, and polarization ASR at various SOCs of RFB. (f, g) GCD curves and corresponding round-trip CE, VE, EE and utilization efficiency at different current densities. (h, i) Stability performance under current density of 7 mA/cm2.

    Figure 2  (a, b) Absorbance changes and color change of posolyte at different SOC. (c) CIE chromaticity coordinates charts and color trajectory. (d, e) Transmittance response curves. (f) Coloration efficiency. (g) Transmittance stability curve in long-term GCD test.

    Figure 3  (a) Schematic drawing and photographs of the electrochromic window, RFB system, and as-prepared house model. (b) Indoor temperature variations along irradiation time at different SOCs. (c) Declined indoor temperature and COE when referring to water.

  • 加载中
计量
  • PDF下载量:  0
  • 文章访问数:  45
  • HTML全文浏览量:  1
文章相关
  • 发布日期:  2024-12-15
  • 收稿日期:  2024-07-12
  • 接受日期:  2024-08-21
  • 修回日期:  2024-08-13
  • 网络出版日期:  2024-08-23
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

/

返回文章