Abstract

Solar photovoltaic technologies have undergone significant scientific development. To ensure the transfer of knowledge through the training of qualified personnel, didactic tools that can be acquired or built at a reasonable price are needed. Most training and research centres have restrictions on acquiring specific equipment due to its high cost. With this in mind, this article presents the development and transfer of a low-cost I–V curve tracer acquisition system. The device is made up of embedded systems with all the necessary hardware and software for its operation. The hardware and software presented are open source and have a low cost, i.e., the estimated material cost of the system is less than 200 euros. For its development, four institutions from three different countries participated in the project. Three photovoltaic technologies were used to measure the uncertainties related to the equipment developed. In addition, the system can be transferred for use as an academic or research tool, as long as the measurement does not need to be certified. Two accredited laboratories have certified the low uncertainties in the measurement of the proposed system.

Highlights

  • Renewable energies have experienced significant growth during the last decade

  • We proposed a complete framework to build an I–V curve tracer [28]

  • This data set represents the experimental campaign that involved the largest number of PV technologies and in which the I–V curves were measured at the same sampling rate

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Summary

Introduction

From a technological point of view, the development of more efficient and sustainable systems has been achieved [1,2,3] In this context, electrical energy production through the photovoltaic (PV) conversion of the incoming sunlight represents an important alternative due to its inherent characteristics. Systematic studies are required in order to determine and explain the operation principles of different related technologies [6,7], both existing or in development. This is relevant for mAximising the operational efficiency and to elaborate upon methods used to exploit the electric energy produced [8]

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