This study presents a SCAPS-1D-based numerical optimization of an organic ultraviolet (UV) photodetector employing an FTO/PTB7/Spiro-OMeTAD/Au device architecture. The novelty of this work lies in a simulation-guided, UV-specific optimization strategy that combines thickness engineering, controlled doping, and contact work-function tuning to achieve intrinsic spectral selectivity without external optical filters. We systematically optimize material and device parameters, including active layer thicknesses, donor and acceptor densities, and the metal electrode work function, to enhance responsivity, detectivity, and spectral performance. Simulations identify optimal thicknesses of 1200 nm for PTB7 and 1000 nm for Spiro-OMeTAD, with donor concentrations of 1 × 10²⁰ cm⁻³ and 1 × 10¹⁸ cm⁻³, respectively. A comparative contact analysis demonstrates that replacing aluminum with gold (Au) forms a near-ohmic back contact, leading to improved hole extraction and suppressed dark current due to favorable energy-level alignment. The optimized device achieves a peak external quantum efficiency of approximately 80% in the 300–400 nm ultraviolet range, with a responsivity up to 0.4 A/W. The UV selectivity originates from the absorption characteristics of PTB7 combined with suppressed long-wavelength charge collection, resulting in a negligible response in the visible–near-infrared region. These results confirm the device’s strong potential for high-sensitivity, solar-blind UV photodetection. By integrating practical material selection with physically consistent SCAPS-1D optoelectronic modeling, this work provides a robust design framework to guide the development of next-generation organic UV photodetectors for environmental sensing, biomedical diagnostics, and wearable optoelectronics.

Residential cooling is becoming a major source of electricity demand growth, peak-load stress, and household energy vulnerability in emerging economies under climate change, yet empirical evidence linking appliance efficiency regulation to system-wide outcomes remains limited. This study evaluates SCOP-based Minimum Energy Performance Standards (MEPS) as a policy pathway for managing residential cooling demand using Türkiye as a case study. A nationwide bottom-up analysis was conducted by integrating household electricity billing data, cooled floor area measurements, and model-specific Seasonal Coefficient of Performance (SCOP) values for residential air conditioners. Results show that residential cooling currently consumes 4.30 TWh/year, accounting for 13.7% of national residential electricity demand. The average SCOP of the existing stock is 3.02, indicating substantial efficiency gaps relative to best-available technologies. Replacing baseline units with high-efficiency (A+++) systems reduces cooling electricity demand by 49%, corresponding to annual savings of approximately 2.1 TWh, alongside significant peak-load and CO₂-emission reductions. Spatial analysis shows that efficiency gains are concentrated in hot-climate provinces. Policy simulations further indicate that introducing SCOP-based MEPS requiring efficiency levels of 4.0–4.5 can reduce long-term cooling electricity demand by 25–33% by 2050 despite climate-driven demand growth. The findings identify appliance efficiency regulation as a scalable climate-adaptation strategy for emerging economies.