Solar RRL最新文献

Zhensang Tong, Kaihang Sang, Huanyi Zhou, Dongqi Wu, Suxin Zhao, Junfang Zhang, Ye Yang, Qi Pang, Anxiang Guan, Liya Zhou, Hanchi Cheng, and Peican Chen. Surface p-Type Self-Doping Facilitating the Enhanced Performance of Air-Processed Carbon-Based Perovskite Solar Cells. Solar RRL. 2025, 9(2): 2400712.

It has come to our attention that some errors have been found in Figure 4 in our original article. The error originated from an inadvertent mistake in data organization, which led to the use of incorrect data in Figure 4b. Figure 4c,d is derived from the dataset shown in Figure 4b. Below is the corrected Figure 4. The correction does not affect any other results or the scientific conclusions.

In the second paragraph on page 5, the text “The calculated conduction band minimum (CBM) and valence band maximum (VBM) for the control perovskite film were found to be –4.03 and –5.62 eV, respectively.” was incorrect. This should have read: “The calculated conduction band minimum (CBM) and valence band maximum (VBM) for the control perovskite film were found to be –4.09 and −5.68 eV, respectively.” Moreover, the text “After MATFB treatment, the work function of the film increases from 4.30 to 4.49 eV,” was incorrect. This should have read: “After MATFB treatment, the work function of the film increases from 4.33 to 4.49 eV,”

We apologize for this error.

Perovskite Solar Cells

In article number 2500333, Tzu-Ying Lin, Chih-Huang Lai, and co-workers present a breakthrough in flexible Cu(In, Ga)Se₂ (CIGS) solar cells on mica substrates by one-step sputtering, featuring back-side modification with a TiN buffer layer. This design enhances adhesion, crystallinity of Mo, CIGS, and rear-junction. The cells demonstrate remarkable mechanical durability, maintaining 98% efficiency after 3000 bending cycles, highlighting mica’s potential for scalable manufacturing of flexible CIGS solar modules.

Interface engineering plays a pivotal role in enhancing the performance and stability of perovskite solar cells (PSCs). Here, we explore the influence of core conjugation in thiophene-based ammonium cations as surface passivation agents in the inverted (p–i–n) device architecture. The increased bonding strength observed with the conjugation extension allows specific defect suppression at the perovskite/PCBM interface, confirmed by combined spectroscopic analysis and density functional theory simulations. This passivation strategy yields a remarkable increase in the device open-circuit voltage (V_oc), resulting in a champion power conversion efficiency of 22.8%, compared to 20.8% in the control device. This study highlights the importance of molecular conjugation and halide choice in designing efficient surface passivation strategies for effective surface defect passivation in high-performance PSCs.

Perovskite Solar Cells

In article number 2500333, Tzu-Ying Lin, Chih-Huang Lai, and co-workers present a breakthrough in flexible Cu(In, Ga)Se₂ (CIGS) solar cells on mica substrates by one-step sputtering, featuring back-side modification with a TiN buffer layer. This design enhances adhesion, crystallinity of Mo, CIGS, and rear-junction. The cells demonstrate remarkable mechanical durability, maintaining 98% efficiency after 3000 bending cycles, highlighting mica’s potential for scalable manufacturing of flexible CIGS solar modules.

Photovoltaic (PV) system efficiency is significantly affected by soiling, leading to energy losses and increased operational costs. Within the SERENDI-PV and CACTUS projects, this study refines soiling loss modeling through two complementary approaches: the stochastic quantifying soiling loss (SQSL) method and a machine learning (ML)-based predictive model. SQSL quantifies soiling losses using electrical performance data, independent of meteorological inputs, while the ML model forecasts losses using environmental parameters such as temperature, humidity, wind speed, and particulate matter concentration. The SQSL method identifies soiling phases—cleaning periods, stable periods, and soiling periods—by analyzing PV performance trends. Monte Carlo simulations generate probable soiling profiles, assessing uncertainty and informing maintenance strategies. Additionally, SQSL enables classification of soiling accumulation patterns, distinguishing between gradual and rapid soiling events. The ML-based approach integrates artificial neural networks and regression models to predict soiling losses, applying data preprocessing techniques to enhance accuracy. Regional climate variations and site-specific soiling characteristics are incorporated to improve predictive performance. Preliminary results validate the robustness of both methodologies. SQSL-generated profiles align closely with observed soiling trends, and ML models effectively capture seasonal variations. Field studies at a utility-scale PV plant in Spain further demonstrate the location dependency of soiling patterns. Comparative analysis of SQSL predictions and real soiling measurements shows prediction errors between 1% and 2.6% over an 8-day forecast period. These findings support the integration of predictive soiling models into PV monitoring platforms, optimizing maintenance strategies, and minimizing energy yield losses.

Much of the research on CdSeTe photovoltaics is focused on improving the open-circuit voltage (V_oc) of the solar cell. But solar cells operate at the maximum power point (MPP) rather than at V_oc. The recombination processes at MPP may be different than those at V_oc, and increasing the power output at MPP is the key to advancing efficiency. Here, we introduce a camera-based PL imaging system that enables power loss analysis under operating conditions and across cm-sized areas covering multiple cells. The instrument is demonstrated with CdSeTe devices having efficiencies greater than 19%. An implied current density versus implied voltage (iJV) curve can be produced at each pixel with <20 µm resolution. We find that regions with high implied open circuit voltage are often those with low implied fill factor, showing that voltage loss analysis at open circuit is not sufficient to understand power losses under operating conditions. Measurement of JV curves as a function of irradiance can also be performed in the system, which allows series resistance-free pseudo JV (pJV) curves to be produced. Comparison of pJV to measured JV and iJV curves allows further analysis of the operational losses, pointing the way to higher efficiency.

Perovskite solar cells (PSCs) have emerged as a promising photovoltaic technology, already achieving efficiencies surpassing 26%. However, effects such as hysteresis are commonly observed due to the interplay of ionic and electronic transport occurring over different timescales. In this work, we presented a unified analytical framework for characterizing charge transport and hysteresis in PSCs, validated through experiments on standard n-i-p mesoporous devices. Beyond small-signal impedance spectroscopy, our model also explains the large-signal response under pulsed and sinusoidal voltage inputs. Sinusoidal I–V analysis combined with the Fourier transform revealed the system's transition from capacitive to inductive-like response, depending on excitation frequency. Therefore, this work provides not only theoretical insights but also a step-by-step methodology. By combining small- and large-signal experiments within a single interpretive framework, our approach offers a physically grounded and experimentally accessible strategy for decoding and managing nonlinear and memory-driven effects in PSCs.

This study presents a novel Living Biophotovoltaic (Living BPV) system designed to simultaneously generate photocurrent and hydrogen using metabolically active green algae (Paulschulzia pseudovolvox sp). A photoanode was constructed by immobilizing green algae on a conductive polymer matrix of P(SNS-Ph-Pyr) and a calix[4]arene-gold nanoparticle composite. The porous architecture of the platform enhanced algal adhesion and facilitated efficient electron transfer. The immobilized algae contributed to energy generation via both photosynthesis and respiration, enabling dual-mode operation under light and dark conditions. Covalent bonding between calixarene carboxyl groups and algal amines ensured structural stability, while the gold nanoparticles supported rapid electron flow. A platinum nanoparticle-based cathode enabled hydrogen evolution through proton reduction. The study uniquely explores the contribution of green algal respiration alongside photosynthesis in BPV applications. Electropolymerization and surface modification techniques were optimized to enhance system efficiency. The results demonstrate that the system maintains photocurrent stability over prolonged periods and enables reproducible hydrogen generation, even under PSII-inhibited conditions. To our knowledge, this is the first report of a BPV system leveraging both photosynthetic and respiratory pathways of green algae for integrated electricity and hydrogen production. The findings highlight the potential of Living BPVs as sustainable, biohybrid platforms for next-generation solar energy conversion.

Covalent organic frameworks (COFs), are promising candidates for photoelectrochemical hydrogen evolution reaction (PEC HER). In this study, sp²-c COF photocathodes were synthesized on copper foam via Knoevenagel condensation polymerization, with the crystallinity systematically tuned by varying reaction conditions. By modulation, the alkalinity of the reaction system, crystallinity-related parameters were optimized, revealing significant variations in the structural integrity of the resulting sp²-c COFS. Under optimal synthesis conditions (110°C, 30 μL pyridine, 2 days), the photocathode demonstrated a photocurrent density of 60 μA cm⁻² at 0.3 V versus RHE, a value 2.5 times higher than that observed for samples with suboptimal crystallinity. These results emphasize the positive impact of increased crystallinity in improving PEC HER performance and provide insights for scalable photocathode design.

The high nonradiative energy losses (ΔE_nrs) in organic solar cells (OSCs) have become a huge obstacle for further improvements of their power conversion efficiencies (PCEs). To address it, the normal small molecule acceptor (SMA) is modified by attaching thiophene, 2-methylthiophene, and 2-chlorothiophene rings, respectively, on the terminals, giving three novel SMAs TIC, MTIC, and CTIC. With gradual increasing in the electron-donating capabilities of thiophene rings, these SMAs own more and more reduced intramolecular charge transfer (ICT) effects in the order of CTIC > TIC > MTIC. Reversely, the OSCs based on CTIC, TIC, and MTIC exhibit the monotonically increased electroluminescence quantum efficiencies (EQE_ELs) of 0.27%, 0.36%, and 0.44%, corresponding to lower and lower ΔE_nrs of 0.153, 0.145, and 0.140 eV, respectively. These values are all among the best ones for OSCs to date. Finally, when CTIC is introduced into PM6:BTP-eC9 binary system, the resulting ternary OSC delivers an improved open-circuit voltage (V_OC) of 0.864 V, thereby, a higher PCE of 18.82%. This study demonstrates that weakening ICT effects of SMAs is an effective strategy to realize smaller energy losses for OSCs.