Introducing energy rating standards and their implication for Perovskite modules
James Blakesley a
a National Physical Laboratory, United Kingdom, Middlesex, TW11 0LW, Teddington, United Kingdom
International Conference on Hybrid and Organic Photovoltaics
Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV18)
Benidorm, Spain, 2018 May 28th - 31st
Organizers: Emilio Palomares and Rene Janssen
Oral, James Blakesley, presentation 171
DOI: https://doi.org/10.29363/nanoge.hopv.2018.171
Publication date: 21st February 2018

Module performance ratio (MPR) describes how well a PV module performs in the real world relative to standard test conditions (1000 Wm‑2 AM1.5, 25 °C). It is affected by factors such as intensity and angle of sunlight, spectrum, ambient temperature, wind speed and other local factors. New energy rating standards (IEC 61853) define a standardised method for a fair comparison of different modules’ expected performance in a set of predefined reference climates. In the future, it is likely that the sale value of modules will be based on energy rating instead of the traditional watt-peak power rating.

The most important factor in determining MPR is the module’s temperature coefficient. Perovskite cells are reported to have smaller temperature coefficients than silicon, and therefore have the potential to achieve favourable energy ratings.

We explain the methods used in the energy rating standards. Using a modelling approach, we explore the expected performance of single and tandem perovskite technologies under a set of reasonable assumptions about future performance trends. We reveal how perovskite modules fare relative to traditional technology and what are the key requirements for external device parameters, such as series and shunt resistance and front-back cell balance, to achieve a good rating.

Finally, we describe how performing energy rating is a challenging procedure; it requires a comprehensive set of measurements and most test-labs lack procedures and accurate calibration infrastructure specific to perovskite devices. Through a sensitivity analysis, we investigate the expected accuracy of energy rating and describe strategies to estimate the energy rating at low cost using a minimal set of measurements.

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