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Elias Hurtado-Perez

Researcher at Polytechnic University of Valencia

Publications -  17
Citations -  269

Elias Hurtado-Perez is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Renewable energy & Electricity. The author has an hindex of 6, co-authored 17 publications receiving 96 citations.

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Low-cost web-based Supervisory Control and Data Acquisition system for a microgrid testbed: A case study in design and implementation for academic and research applications.

TL;DR: The results of the operative tests and the cost comparison of the own-designed developed Web-SCADA system prove its reliability and low-cost, on average an 86% cheaper than a standard brandmark solution, for controlling, monitoring and data logging information, as well as for local and remote operation system when applied to the HRES microgrid testbed.
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A cascade hybrid PSO feed-forward neural network model of a biomass gasification plant for covering the energy demand in an AC microgrid

TL;DR: In this paper, an Artificial Neural Network (ANN) based model hybridized with a Particle Swarm Optimization (PSO) algorithm for a Biomass Gasification Plant (BGP) that allows estimating the amount of biomass needed to produce the required syngas to meet the energy demand.
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Hybrid assessment for a hybrid microgrid: A novel methodology to critically analyse generation technologies for hybrid microgrids

TL;DR: The methodology ranked the criteria and helped to design a HRES in an isolated Honduran rural community in the Mesoamerican Dry Corridor and the most influential factors turned out to be the institutional support, the possible expansion of the grid to the community and the availability of local energy resources.
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Assessing transport emissions reduction while increasing electric vehicles and renewable generation levels

TL;DR: In this paper, the authors propose a methodology to verify the sustainability of the sector by the introduction of EVs, by means of the Well-to-Wheel tool, it compares emissions generated by two fleets: one based on internal combustion engine vehicles (ICEVs) and another one that also contemplates different EVs penetration levels.
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Light electric vehicle charging strategy for low impact on the grid.

TL;DR: A methodology based on the use of the temporal valleys in the daily electricity demand is developed for EV recharge, avoiding the peak demand hours to minimize the impact on the grid.