| Authors | W. Guanoune1, H.A. Abbassi2 |
| Affiliations |
1Badji Mokhtar University, Faculty of Sciences, Department of Physics, 23000 Annaba, Algeria 2Environmental Research Center (CRE), Environmental Innovation and Eco-Waste Management Division, 23000 Annaba, Algeria |
| Е-mail | guanoune.walid@gmail.com |
| Issue | Volume 18, Year 2026, Number 5 |
| Dates | Received 15 July 2026; revised manuscript received 19 October 2026; published online 28 October 2026 |
| Citation | W. Guanoune, H.A. Abbassi, J. Nano- Electron. Phys. 18 No 5, 05033 (2026) |
| DOI | https://doi.org/10.21272/jnep.18(5).05033 |
| PACS Number(s) | 84.60.Jt, 72.80.Le, 73.61.Ph |
| Keywords | Organic solar cells, Active-layer thickness, Drift-diffusion simulation, Light-intensity dependence, Indoor photovoltaics. |
| Annotation |
Organic solar cells (OSCs) offer flexibility and low-cost fabrication, but their performance is strongly dependent on illumination conditions. Standard optimization under AM1.5G (1000 W·m – 2) does not reflect the diversity of real environments, which range from sub-watt indoor light to full sunlight. In this work, we establish illumination-dependent thickness guidelines that link device geometry to targeted applications. Drift–diffusion simulations using OghmaNano (GPVDM) were performed on bulk-heterojunction P3HT:PCBM solar cells across intensities from 0.5 to 1100 W·m – 2. The results show that under indoor conditions (1-30 W·m – 2), thicker active layers (350-400 nm) maximize absorption and yield power conversion efficiencies (PCE) up to 3.75 %, whereas under high outdoor irradiance (≥ 700 W·m – 2), thinner layers (200-230 nm) mitigate recombination and enhance energy output. A design map relating PCE, Jsc, Voc, and FF to thickness–intensity pairs identifies application-specific optima. Although demonstrated on P3HT:PCBM as a reference system, the methodology is broadly applicable to other organic photovoltaic technologies. These results provide concise, illumination-aware thickness guidelines that bridge laboratory optimization with real-world deployment of OSCs under indoor and outdoor conditions. |
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