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

Emanuele Lattanzi, Matteo Dromedari, Valerio Freschi and Alessandro Bogliolo
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Emanuele Lattanzi: Department of Pure and Applied Sciences (DiSPeA), University of Urbino, Piazza della Repubblica 13, 61029 Urbino, Italy
Matteo Dromedari: Department of Pure and Applied Sciences (DiSPeA), University of Urbino, Piazza della Repubblica 13, 61029 Urbino, Italy
Valerio Freschi: Department of Pure and Applied Sciences (DiSPeA), University of Urbino, Piazza della Repubblica 13, 61029 Urbino, Italy
Alessandro Bogliolo: Department of Pure and Applied Sciences (DiSPeA), University of Urbino, Piazza della Repubblica 13, 61029 Urbino, Italy

Energies, 2017, vol. 10, issue 3, 1-17

Abstract: 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.

Keywords: photovoltaic (PV) array models; energy emulation; embedded systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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