Overview
A quantitative framework has been introduced to evaluate the quality and historical development, and to guide future optimization of photovoltaic (PV) absorbers. This framework is applicable to both lab-made and computer-simulated materials across various development stages. Central to this approach is a PV figure of merit (FOM) that incorporates efficiency limitations not accounted for by classic detailed balance methods, which are derived from the Shockley-Queisser limit.
Research Context
The traditional evaluation of PV absorbers often relies on detailed balance methods originating from the Shockley-Queisser limit. These methods provide a theoretical maximum efficiency but may not capture all real-world limitations that affect PV performance. The proposed framework addresses this by introducing a more comprehensive FOM, aiming to bridge the gap between computationally determined material properties and actual PV efficiency.
Approach
The core of the methodology is a PV figure of merit designed to include efficiency limitations beyond those captured by classic detailed balance methods. This FOM's calculation is immediate, using a single equation. The framework was applied to calculate more stringent, FOM-driven efficiency limits. This calculation involved 28 experimentally synthesized PV absorbers and 10 computationally modeled PV absorbers.
Findings
- The proposed PV figure of merit allows for the evaluation of PV absorbers at any development level.
- More stringent efficiency limits, driven by the new figure of merit, were calculated for a set of 28 experimentally synthesized PV absorbers and 10 computationally modeled PV absorbers.
- Analysis of early-stage absorbers using this framework indicated substantial differences in their likelihood of achieving high PV efficiencies in the future.
- The figure of merit's instant evaluability from a single equation suggests its suitability as an objective function for closed-loop research on PV materials in autonomous laboratories.
- The framework provides a quantitative link between computationally determined material properties and PV efficiency.