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Energies 2017, 10(3), 278;

Tuning the Complexity of Photovoltaic Array Models to Meet Real-time Constraints of Embedded Energy Emulators

Department of Pure and Applied Sciences (DiSPeA), University of Urbino, Piazza della Repubblica 13, 61029 Urbino, Italy
Author to whom correspondence should be addressed.
Academic Editor: Tapas Mallick
Received: 22 December 2016 / Revised: 9 February 2017 / Accepted: 21 February 2017 / Published: 27 February 2017
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Reproducibility of experimental conditions is a fundamental requirement for designing energy efficient, self-sustainable wireless sensor networks (WSNs). At the same time, it represents a significant challenge because of the variability and the unpredictability of many energy harvesting sources, and because of the dynamic operating conditions of the devices to which energy is supplied. Energy source emulation is considered a suitable solution to enable the exploration of the design space of networked embedded systems. However, in order to guarantee the compatibility with real-time performance of resource-constrained embedded platforms, particular attention has to be paid to the complexity of the models. In this paper, we propose an approach aimed at tuning the complexity of models of photovoltaic (PV) arrays implemented on a target embedded emulator, featuring low cost and small form factor. Experimental results performed on different models of PV array, show that the proposed solution is flexible and accurate enough to meet the real-time constraints of typical sensor networks applications without impairing the precision in the emulation of the energy sources. View Full-Text
Keywords: photovoltaic (PV) array models; energy emulation; embedded systems photovoltaic (PV) array models; energy emulation; embedded systems

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Lattanzi, E.; Dromedari, M.; Freschi, V.; Bogliolo, A. Tuning the Complexity of Photovoltaic Array Models to Meet Real-time Constraints of Embedded Energy Emulators. Energies 2017, 10, 278.

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