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Siefer, Gerald

Publications and source records attributed to Siefer, Gerald.

Solar Cell Efficiency Tables (Version 65)

Here, consolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined, and new entries since July 2024 are reviewed.

14 SOLAR ENERGY↗

Solar cell efficiency tables (Version 64)

Abstract Consolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined, and new entries since January 2024 are reviewed.

14 SOLAR ENERGY↗

Solar cell efficiency tables (Version 63)

Abstract Consolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined and new entries since July 2023 are reviewed.

14 SOLAR ENERGY↗

Solar cell efficiency tables (version 62)

Abstract Consolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined, and new entries since January 2023 are reviewed.

14 SOLAR ENERGY↗

Solar cell efficiency tables (Version 61)

Abstract Consolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined, and new entries since July 2022 are reviewed. Graphs showing progress with each cell technology over the 30‐year history of the tables are also included plus an updated list of designated test centres.

14 SOLAR ENERGY↗

Component Cell-Based Restriction of Spectral Conditions and the Impact on CPV Module Power Rating

One approach to consider the prevailing spectral conditions when performing CPV module power ratings according to the standard IEC 62670-3 is based on spectral matching ratios (SMRs) determined by the means of component cell sensors. In this work, an uncertainty analysis of the SMR approach is performed based on a dataset of spectral irradiances created with SMARTS2. Using these illumination spectra, the respective efficiencies of multijunction solar cells with different cell architectures are calculated. These efficiencies were used to analyze the influence of different component cell sensors and SMR filtering methods. The 3 main findings of this work are as follows. First, component cells based on the lattice-matched triple-junction (LM3J) cell are suitable for restricting spectral conditions and are qualified for the standardized power rating of CPV modules - even if the CPV module is using multijunction cells other than LM3J. Second, a filtering of all 3 SMRs with +/-3.0% of unity results in the worst case scenario in an underestimation of -1.7% and overestimation of +2.4% compared to AM1.5d efficiency. Third, there is no benefit in matching the component cells to the module cell in respect to the measurement uncertainty.

14 SOLAR ENERGY↗

Chapter 10: CPV Multijunction Solar Cell Characterization

Characterization of solar cells can be divided into two types: the first is measurement of electrooptical semiconductor device parameters, and the second is determination of electrical conversion efficiency. This chapter reviews the multijunction concepts that are necessary for understanding Concentrator photovoltaic (CPV) cell characterization techniques, and describes how CPV efficiency is defined and used. For any I-V measurement of a multijunction cell, the sun simulator spectrum has to be adjusted in a way that all junctions generate the same photocurrent ratios with respect to each other as under reference conditions. The chapter discusses several procedures for spectral irradiance adjustments of solar simulators, essential for multijunction measurements. It overviews the light sources and optics commonly used in simulators for CPV cells under concentration. Finally, the chapter talks about the cell area, quantum efficiency (QE), and current-voltage (I-V) curve measurements that are needed to characterize cells as a function of irradiance.

14 SOLAR ENERGY↗

Spectral network based on component cells under the SOPHIA European project

In the frame of the European project SOPHIA, a spectral network based on component (also called isotypes) cells has been created. Among the members of this project, several spectral sensors based on component cells and collimating tubes, so-called spectroheliometers, were installed in the last years, allowing the collection of minute-resolution spectral data useful for CPV systems characterization across Europe. The use of spectroheliometers has been proved useful to establish the necessary spectral conditions to perform power rating of CPV modules and systems. If enough data in a given period of time is collected, ideally a year, it is possible to characterize spectrally the place where measurements are taken, in the same way that hours of annual irradiation can be estimated using a pyrheliometer.

14 SOLAR ENERGY↗

Analysis of a four lamp flash system for calibrating multi-junction solar cells under concentrated light

It has been known for a long time that the precise characterization of multi-junction solar cells demands spectrally tunable solar simulators. The calibration of innovative multi-junction solar cells for CPV applications now requires tunable solar simulators which provide high irradiation levels. This paper describes the commissioning and calibration of a flash-based four-lamp simulator to be used for the measurement of multi-junction solar cells with up to four subcells under concentrated light.

14 SOLAR ENERGY↗