Bifacial Photovoltaic Module Performance Optimization

Summary

Bifacial photovoltaic modules harness light incident on both their front and rear faces, offering a route to boost energy yields relative to conventional monofacial panels. Performance optimisation focuses on maximising rear‐side irradiance through careful siting, module elevation, tilt angle, inter-row spacing and the management of ground reflectance. Advanced optical models—such as Monte Carlo ray tracing and view-factor analyses—quantify contributions from direct, diffuse and reflected light, informing system layouts from rooftop installations to utility-scale single-axis trackers and building-integrated façades. Extensions of energy-rating standards to bifacial designs ensure consistent evaluation of yield and degradation under dual-sided illumination. Meanwhile, economic optimisation employs algorithmic approaches to determine optimal tilt, spacing and land-use configurations that minimise the levelised cost of electricity. These combined optical, electrical and economic strategies drive the global adoption of bifacial technology across diverse climates, roof- and ground-mounted systems, and agrivoltaic and urban contexts.

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Bifacial Photovoltaic Module Performance Optimization publication trend

The graph below shows the total number of articles in bifacial photovoltaic module performance optimization across all publications each year (not limited to Nature Index journals).

Technical terms

Bifacial gain: percentage improvement in energy yield achieved by a bifacial photovoltaic module relative to a monofacial module under similar environmental and mounting conditions.

Albedo: fraction of incoming solar radiation reflected by the ground or nearby surfaces, which contributes to rear-side illumination of bifacial modules.

Levelised cost of electricity (LCOE): average lifetime cost per unit of electricity generated, incorporating capital expenditure, operation, maintenance and other system costs.

Monte Carlo ray tracing: computational method that uses probabilistic photon-path simulations to predict spatial distribution of irradiance on photovoltaic surfaces.

References

  1. Accurate modelling of the bifacial gain potential of rooftop solar photovoltaic systems. Energy Conversion and Management (2024).
  2. Developing an energy rating for bifacial photovoltaic modules. Progress in Photovoltaics Research and Applications (2023).
  3. Minimising the levelised cost of electricity for bifacial solar panel arrays using Bayesian optimisation. Sustainable Energy & Fuels (2020).
  4. A comparison of ray tracing and view factor simulations of locally resolved rear irradiance with the experimental values. Progress in Photovoltaics Research and Applications (2020).

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