F
Fernando Mancilla-David
Researcher at University of Colorado Denver
Publications - 86
Citations - 1706
Fernando Mancilla-David is an academic researcher from University of Colorado Denver. The author has contributed to research in topics: Photovoltaic system & Maximum power point tracking. The author has an hindex of 20, co-authored 80 publications receiving 1380 citations. Previous affiliations of Fernando Mancilla-David include University of Wisconsin-Madison & University of Colorado Boulder.
Papers
More filters
Journal ArticleDOI
A cell-to-module-to-array detailed model for photovoltaic panels
Hongmei Tian,Hongmei Tian,Fernando Mancilla-David,Kevin Ellis,Eduard Muljadi,Peter E. Jenkins +5 more
TL;DR: In this paper, a modified current-voltage relationship for the single-diode model is presented, based on the well-known equivalent circuit for a single photovoltaic (PV) cell.
Journal ArticleDOI
A Transformer-less High-Gain Boost Converter With Input Current Ripple Cancelation at a Selectable Duty Cycle
Julio C. Rosas-Caro,Fernando Mancilla-David,Jonathan C. Mayo-Maldonado,Juan Miguel Gonzalez-Lopez,H. L. Torres-Espinosa,Jesus E. Valdez-Resendiz +5 more
TL;DR: Details on the principle of operation via topological considerations and a mathematical model for a boost dc-dc converter topology with the novel capability of canceling the input current ripple at an arbitrarily preselected duty cycle are provided.
Journal ArticleDOI
Experimental Parameter Extraction in the Single-Diode Photovoltaic Model via a Reduced-Space Search
Alejandro Angulo Cardenas,Miguel Carrasco,Fernando Mancilla-David,Alexandre Street,Roberto Cardenas +4 more
TL;DR: An efficient method for the parameter extraction of the single-diode PV model from experimental I-V curves is developed and it does not rely on any preliminary data selection and can thus be fully automated without user intervention.
Journal ArticleDOI
A Neural Network-Based Low-Cost Solar Irradiance Sensor
TL;DR: An initial estimate suggests the cost of the sensor proposed herein may be price competitive with other inexpensive solutions available in the market, making the device a good candidate for large deployment in photovoltaic power plants.
Journal ArticleDOI
Reduced-form of the photovoltaic five-parameter model for efficient computation of parameters
TL;DR: A reduced-form of the five-parameter model is presented, reduced from five to two parameters and a domain of attraction of the solution space is defined analytically, which guarantees nonlinear solvers will provide the correct, that is, physically feasible, solution for the parameters at first launch.