Publications

Highlights • Comparative analysis of View Factor (VF) & Ray Tracing (RT) models for bifacial PV. • Both models perform similarly for front illumination, RT performs better for rear. • VF overestimates module rear irradiance by 6.7% due to frame & structure shading.

Highlights • Bifacial solar modules on rooftops offer up to 22.6% energy yield gains. • Rooftop reflectivity plays a crucial role in maximizing the bifacial potential. • Higher optimal tilt angles for bifacial modules, influenced by rooftop reflectivity. • Parallel intra-module interconnection supports achieving high bifacial yield gains. • Module-level optimizers enhance bifacial energy generation potential by up to 1.4%

Bifacial photovoltaic solar panels convert light into electricity from both sides and are expected to dominate the market within a decade. Bifacial solar farm developers need accurate models of energy inputs, notably of rear illumination, to estimate annual energy yield and make accurate economic projections. Ray-tracing is the most suitable technique to simulate the complex optical interactions in single axis tracking bifacial PV farms but is computationally expensive. In this work, we accelerate Monte Carlo ray tracing of large solar systems by nearly 90% and validate our results with experimental data. We analyse the impact of the surrounding ground surface area and time-dependent ground reflection via calibrated unit systems. Overall, this work provides a basis for fast and accurate predictions of the annual energy input of real bifacial tracking PV systems. In turn this can lead to better system yield projections and contribute to lower risk for solar farm developers.

We compare the effects of planar & triangular ribbons, light redirecting films, wires and a new proposed pentagonal ribbon geometry, in fixed optimal inclination, building-integrated (façade), and single-axis tracking installation scenarios of modules in portrait and landscape orientation. We conclude that to fully evaluate the effectiveness of a specific ribbon design, the annual energy yield must consider the angular irradiance distribution and weather conditions at a specific location, the installation scenario, and the module orientation.

We demonstrate how perovskite hysteresis can result in permanent reductions in power output in perovskite/silicon tandem modules—including irreversible hotspot-induced damage—from only brief periods of shading.

• Optimizing module design for a maximum annual performance. • Detailed gain and loss analysis from cell under STC to module in real environment. • Understanding the impact of module material on the annual module yield. • Impact of angular light, temperatures, lower irradiances on module performance. • Impact of weather condition (ambient temperature, wind speed) on module performance.

Accurate energy yield prediction is of utmost importance for commercial scale photovoltaic systems. One key parameter crucial to the prediction accuracy is the quality of solar radiation data. Most energy yield prediction models rely on Typical Meteorological Year data with maximum temporal resolution of one hour. In this work we develop a methodology to generate Typical Meteorological Year data with much higher time resolution using gap filling methods that aim to maintain high-quality solar radiation data for photovoltaic yield modelling.

Impact of perovskite solar cell degradation on the lifetime energy yield and economic viability of perovskite/silicon tandem modules

Hotspots are a major source of failure for photovoltaic modules in the field. The current standard for module testing IEC 61215-2 can leave critical hotspots undetected in half-cut solar cell modules.

A two‐step method to simulate the spatially resolved temperature of a partially shaded cell in a crystalline silicon photovoltaic (PV) module is presented and tested.

The impact of partial shading on cell operating current, voltage, and temperature is simulated, for a half-cell module with series-parallel-series connections and for the conventional full-cell module.

Methodology for simulating PV module yield based on the optical, thermal and electrical properties of module components and configuration.