TechRxiv
IEC61853_3RR_BestPractice_v20211203_final.pdf (705.04 kB)
Download file

PV module energy rating standard IEC 61853-3 intercomparison and best practice guidelines for implementation and validation

Download (705.04 kB)
preprint
posted on 02.05.2022, 20:09 authored by Malte VogtMalte Vogt, Stefan Riechelmann, Ana Gracia-Amillo, Anton Driesse, Alexander Kokka, Kinza Maham, Petri Kärhä, Robert Kenny, Carsten Schinke, Karsten Bothe, James Blakesley, Esma Music, Fabian PlagFabian Plag, Gabi Friesen, Gianluca Corbellini, Nicholas RiedelNicholas Riedel, Roland Valckenborg, Markus W Schweiger, Werner Herrmann

The IEC 61853 standard series aims to provide a standardized measure for PV module energy rating, namely the Climate Specific Energy Rating (CSER). For this purpose, it defines procedures for the experimental determination of input data and algorithms for calculating the CSER. However, some steps leave room for interpretation regarding the specific implementation. To analyze the impact of these ambiguities, the comparability of results and the clarity of the algorithm for calculating the CSER in part 3 of the standard, an intercomparison is performed among research organizations with 10 different implementations of the algorithm. We share the same input data, obtained by measurement of a commercial crystalline silicon PV module, among the participating organizations. Each participant then uses their individual implementations of the algorithm to calculate the resulting CSER values. The initial blind comparison reveals differences of 0.133 (14.7%) in CSER. After several comparison phases, a best practice approach is defined, which reduces the difference by a factor of 210 to below 0.001 (0.1%) in CSER for two independent PV modules. The best practice presented in this paper establishes clear guidelines for the numerical treatment of the spectral correction and power matrix extrapolation, where the methods in the standard are not clearly defined. Additionally, we provide input data and results for the PV community to test their implementations of the standard’s algorithm. To identify the source of the deviations, we introduce a climate data diagnostic set. Based on our experiences, we give recommendations for the future development of the standard.

Funding

The project 19ENG01 (Metro-PV) leading to this publication has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.

History

Email Address of Submitting Author

m.r.vogt@tudelft.nl

Submitting Author's Institution

TU Delft

Submitting Author's Country

Netherlands

Usage metrics

Licence

Exports