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Your search keyword '"Caramia, Pierluigi"' showing total 12 results
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12 results on '"Caramia, Pierluigi"'

2. Performance assessment of stacked air-cathode microbial fuel cells under series and parallel electrical connections

Author

Di Micco Simona, De Falco Pasquale, Minutillo Mariagiovanna, Bracale Antonio, Caramia Pierluigi, Gifuni Angelo, and Grassini Giuseppe

Subjects
Environmental sciences, GE1-350
Abstract

Microbial fuel cells (MFCs) are playing an important role in the context of sustainable energy development. They represent a sustainable approach to harvest electricity from biodegradable materials. However, harvesting energy from MFCs represents a critical issue because of the low output voltage and power produced. Realizing stacked configurations may involve an increase in MFCs performances in terms of output voltage, current and electric power. In this paper, two stacked configurations under different electrical connection modes have been designed, developed, modeled and tested. The stacked MFCs consist of 4 reactors (28 mL x4) that are connected in series, and parallel-series modes. Three different tests have been carried out, which involves: 1) performing the polarization and power curves by applying decreasing resistances; 2) assessment of the electric behavior of each reactor over time at a fixed resistance, 3) performing the polarization and power curves by applying increasing resistances. Moreover, a numerical model for predicting the transient behavior of the electrical quantities for one reactor, has been developed and validated by using the experimental data. As expected, the results highlighted that the parallel-series configuration assures the highest volumetric power density compared to the series configuration, reaching the maximum value of 1248.5 mW/m3 (139.8 µW) at 0.291 mA. Eventually, by comparing the numerical and the experimental data, it has been demonstrated that the developed model is able to predict the reactor’s electrical trend with a good accuracy.

Published
2022
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11. Real-Time Distribution Grid Control and Flexibility Provision under Uncertainties: Laboratory Demonstration

Author

Rayati, Mohammad, Bozorg, Mokhtar, Carpita, Mauro, De Falco, Pasquale, Caramia, Pierluigi, Bracale, Antonio, Proto, Daniela, Mottola, Fabio, Rayati, M., Bozorg, M., Carpita, M., Falco, P. D., Caramia, P., Bracale, A., Proto, D., and Mottola, F.

Subjects
Active distribution grids, photovoltaic (PV) systems, Active distribution grid, flexibility provision, Active distribution grids, flexibility provision, photovoltaic (PV) systems, laboratory demonstration, uncertainties, uncertainties, photovoltaic (PV) system, laboratory demonstration
Abstract

In this paper, we assess the effectiveness of forecasting and optimization algorithms on a laboratory demonstration platform that mimics a domestic distribution grid with a high penetration of photovoltaic (PV) systems. Despite the uncertainties, the considered algorithms ensure efficient and secure real-time (RT) operation of the distribution grid, as well as the provision of flexibility services from the low-voltage (LV) distribution grid to the upstream medium-voltage (MV) grid. Uncertainties arise from the variations in PV systems power production and end-users' power consumption, as well as RT deployment of flexibility services. As a result of the considered algorithms, the distribution grid becomes active in the provision of flexibility services. The forecasting and optimization algorithms are based on Bayesian bootstrap quantile regression (BBQR) and distributionally robust chance-constrained (DRCC) programming, respectively. This paper also evaluates the framework of the laboratory demonstration platform for the deployment of the considered algorithms.

Published
2022

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