MATERIALES (FOTO)ELECTROCATALITICOS AVANZADOS PARA LA VALORIZACION ACOPLADA DE CO2 Y GLICEROL

PID2022-138491OB-C32

Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia
Subprograma Subprograma Estatal de Generación de Conocimiento
Convocatoria Proyectos de I+D+I (Generación de Conocimiento y Retos Investigación)
Año convocatoria 2022
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023
Centro beneficiario UNIVERSIDAD DE ALICANTE
Identificador persistente http://dx.doi.org/10.13039/501100011033

Publicaciones

Found(s) 4 result(s)
Found(s) 1 page(s)

Comprehensive characterisation of a low-frequency-vibration energy harvester

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • Plaza Puértolas, Aitor
  • Iriarte Goñi, Xabier
  • Castellano Aldave, Jesús Carlos
  • Carlosena García, Alfonso
In this paper, we describe a measurement procedure to fully characterise a novel vibration energy harvester operating in the ultra-low-frequency range. The procedure, which is more thorough than those usually found in the literature, comprises three main stages: modelling, experimental characterisation and parameter identification. Modelling is accomplished in two alternative ways, a physical model (white box) and a mixed one (black box), which model the magnetic interaction via Fourier series. The experimental measurements include not only the input (acceleration)–output (energy) response but also the (internal) dynamic behaviour of the system, making use of a synchronised image processing and signal acquisition system. The identification procedure, based on maximum likelihood, estimates all the relevant parameters to characterise the system to simulate its behaviour and helps to optimise its performance. While the method is custom-designed for a particular harvester, the comprehensive approach and most of its procedures can be applied to similar harvesters., This work has been supported by the Spanish Research Agency, and the EU/PTR Next Generation Funds under grants PID2019-107258RB-C32 and TED2021-131052B-C21, and also by the Government of Spain (Plan Estatal de Investigación Científica, Técnica y de Innovación 2021–2023) under grants PID2022-138491OB-C32 and PDC 2023-145876-C22.




Seasonality in synthetic average wind speed

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • Zivanovic, Miroslav
  • Runacres, Mark
There is a growing demand for computer-generated realistic high-fidelity wind speed data for various applications in the wind industry. Such data should capture the non-stationary dynamics of real-world wind time series, as well as be consistent with the statistical descriptors - the probability density function and power spectral density - of the observed wind speed. However, complying with the statistical descriptors is not a guarantee that the seasonality will be correctly reproduced in synthetic data. The seasonality, characterized by the average diurnal and seasonal variations, is driven by the periodicities embedded in diurnal and annual harmonic series respectively. Those periodicities are determined by the long-term orbital forcing components, which establish the insolation for a given latitude and longitude. We show that average diurnal and seasonal variations can be visualized as the output of comb filters, whose fundamental frequencies match the diurnal and annual fundamental frequency respectively. The aforementioned theoretical findings are readily reproduced in synthetic wind speed, generated by a non-parametric data-driven statistical model, based on the phase-randomized Fourier transform. The model, tested on both 10-min and 1-min resolution real-world datasets, yields average non-stationarities in synthetic wind speed with the accuracy close to the computing precision., Funding text 1: This work has been supported by the Spanish Research Agency, and the EU/PTR Next Generation Funds under grants TED2021-131052B-C21, and PID2022-138491OB-C32.; Funding text 2: This work has been supported by the Spanish Research Agency, and the EU/PTR Next Generation Funds under grants TED2021-131052B-C21, and PID2022-138491OB-C32.




Low-frequency electromagnetic harvester for wind turbine vibrations

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • Castellano Aldave, Jesús Carlos
  • Plaza Puértolas, Aitor
  • Iriarte Goñi, Xabier
  • Carlosena García, Alfonso
In this paper we describe and fully characterize a novel vibration harvester intended to harness energy from the vibration of a wind turbine (WT), to potentially supply power to sensing nodes oriented to structural health monitoring (SHM). The harvester is based on electromagnetic conversion (EM) and can work with vibrations of ultra-low frequencies in any direction of a plane. The harvester bases on a first prototype already disclosed by the authors, but in this paper, we develop an accurate model parameterized by a combination of physical parameters and others related to the geometry of the device. The model allows predicting not only the power generation capabilities, but also the kinematic behaviour of the harvester. Model parameters are estimated by an identification procedure and validated experimentally. Last, the harvester is tested in real conditions on a wind turbine., This paper has been supported by the Spanish Research Agency, and
the EU/PTR Next Generation Funds under grants PID2019-107258RBC32,
TED2021-131052B-C21, and PID2022-138491OB-C32. The Public
University of Navarre has also partially supported this project under
grant: PJUPNA2024-11690.




A novel ultra-low input voltage and frequency self astarting AC-DC boost converter for micro energy harvesting

Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
  • Castellano Aldave, Jesús Carlos
  • Cruz Blas, Carlos Aristóteles de la
  • Carlosena García, Alfonso
In this letter, a novel low-voltage junction field-effect transistor (JFET) oscillator with self-starting capability to implement an ac-dc boost converter is introduced. The circuit is transformer free and can operate with very low-voltage and low-frequency signals. In order to operate with positive and negative input signals, a coupled topology of JFETs has been used. The circuit has been built using off the shelf components, and can be used with electromagnetic harvesters, thermoelectric modules, and/or wearable devices. Experimental results with a practical harvester are provided in order to demonstrate the proposed ac-dc boost converter., This work was supported by Spanish Research Agency and the EU/PTR Next Generation Funds, under Grant TED2021-131052B-C21, Grant PID2019-107258RB-C32, and Grant PID2022-138491OB-C32.