Abstract

The main objective of this study is to discover which performance loss rate (PLR) calculation methods provide the most reliable results for vertical bifacial photovoltaics (VBPV) in Nordic conditions. For this purpose, over 1600 filter-metric-aggregation-model combinations for PLR calculation are compared. Accurate determination of PLR is crucial for estimating the economic profitability of a PV system, but standardized methodology is lacking as is the understanding on how the common PLR calculation frameworks perform for both VBPV technology and Nordic climatic region. Here, four-year, minute-resolution datasets from adjacent VBPV modules and a weather station in Turku, Finland (60°N) are used. After removing crude outliers, a benchmark PLR of −1.46±0.03 %/year was obtained by averaging the remaining over 1200 filter-metric-aggregation-model combinations. The year-on-year method with a daily/weekly aggregated temperature- and irradiance-corrected performance model was found robust and reliable to Nordic high seasonality. In contrast, several commonly used methods, such as the PVUSA model, produced unrealistic results. Unexpectedly, temperature correction increased the seasonal pattern of the performance ratio, and PLR varied with irradiance conditions and between the front and rear sides of the module. This work expands the best practices of PLR calculation to complement the development of global PLR calculation standards.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.