This page has only limited features, please log in for full access.

Unclaimed
João Pedro Faria
Electromechanical Engineering Department, University of Beira Interior, Rua Marquês d’Ávila e Bolama, 6201-001 Covilhã, Portugal

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 21 September 2020 in Journal of Sensor and Actuator Networks
Reads 0
Downloads 0

Population growth and climate change lead agricultural cultures to face environmental degradation and rising of resistant diseases and pests. These conditions result in reduced product quality and increasing risk of harmful toxicity to human health. Thus, the prediction of the occurrence of diseases and pests and the consequent avoidance of the erroneous use of phytosanitary products will contribute to improving food quality and safety and environmental land protection. This study presents the design and construction of a low-cost IoT sensor mesh that enables the remote measurement of parameters of large-scale orchards. The developed remote monitoring system transmits all monitored data to a central node via LoRaWAN technology. To make the system nodes fully autonomous, the individual nodes were designed to be solar-powered and to require low energy consumption. To improve the user experience, a web interface and a mobile application were developed, which allow the monitored information to be viewed in real-time. Several experimental tests were performed in an olive orchard under different environmental conditions. The results indicate an adequate precision and reliability of the system and show that the system is fully adequate to be placed in remote orchards located at a considerable distance from networks, being able to provide real-time parameters monitoring of both tree and the surrounding environment.

ACS Style

Leonor Varandas; João Faria; Pedro Dinis Gaspar; Martim L. Aguiar. Low-Cost IoT Remote Sensor Mesh for Large-Scale Orchard Monitorization. Journal of Sensor and Actuator Networks 2020, 9, 44 .

AMA Style

Leonor Varandas, João Faria, Pedro Dinis Gaspar, Martim L. Aguiar. Low-Cost IoT Remote Sensor Mesh for Large-Scale Orchard Monitorization. Journal of Sensor and Actuator Networks. 2020; 9 (3):44.

Chicago/Turabian Style

Leonor Varandas; João Faria; Pedro Dinis Gaspar; Martim L. Aguiar. 2020. "Low-Cost IoT Remote Sensor Mesh for Large-Scale Orchard Monitorization." Journal of Sensor and Actuator Networks 9, no. 3: 44.

Journal article
Published: 02 June 2020 in KnE Engineering
Reads 0
Downloads 0

Electric Vehicles (EV) have gained interest over the past decade. Because of this, to support EV technology installation of charging stations are required. Charging EVs from renewable energy provides a sustainable means of transport. E-bikes can help mitigate some mobility problems, particularly in large cities and metropolitan areas. This paper shows the development and implementation of a solar e-bike charging station with photovoltaic production, with energy storage system. The implemented system has a centralized control and allow an efficient management of the various resources and contemplates the possibility of four simultaneous e- bikes where user identification is performed by RFID. Finally, it is provided a user interface through an HMI panel and a web page where it will be possible to access the DataLog to consult the user activity and all charging parameters. Keywords: Renewable energy, Solar charging station, Programmable logic controller

ACS Style

Carlos José Oliveira Inácio; Ivan Joel Ponciano Silva; João Pedro Faria; Jose Alvaro Nunes Pombo; Maria Do Rosário Alves Calado; Sílvio José Pinto Simoes Mariano. Controller Design and Experimental Validation of a Solar Powered E-bike Charging Station. KnE Engineering 2020, 846–856 -846–856.

AMA Style

Carlos José Oliveira Inácio, Ivan Joel Ponciano Silva, João Pedro Faria, Jose Alvaro Nunes Pombo, Maria Do Rosário Alves Calado, Sílvio José Pinto Simoes Mariano. Controller Design and Experimental Validation of a Solar Powered E-bike Charging Station. KnE Engineering. 2020; ():846–856-846–856.

Chicago/Turabian Style

Carlos José Oliveira Inácio; Ivan Joel Ponciano Silva; João Pedro Faria; Jose Alvaro Nunes Pombo; Maria Do Rosário Alves Calado; Sílvio José Pinto Simoes Mariano. 2020. "Controller Design and Experimental Validation of a Solar Powered E-bike Charging Station." KnE Engineering , no. : 846–856-846–856.

Journal article
Published: 02 June 2020 in KnE Engineering
Reads 0
Downloads 0

One of the most decisive factors for a smooth and stable operation of an DC / AC converter connected to the power grid are the gains used in the current controllers. This paper proposes the use of the Cuckoo Search optimization algorithm via Lévy Flights to facilitate the determination of the optimal gains of the grid connected DC/ AC converters. With the proposed algorithm, it becomes possible to determine the optimal gains of the current controllers of the DC / AC converters connected with the grid thus improving their stability, accuracy and response time. Keywords: DC/AC converters, Cuckoo search, Optimization, Current controllers

ACS Style

João Faria; José Pombo; Maria Do Rosário Calado; Sílvio Mariano. Current Control Optimization for Grid-tied Inverters Using Cuckoo Search Algorithm. KnE Engineering 2020, 795–804 -795–804.

AMA Style

João Faria, José Pombo, Maria Do Rosário Calado, Sílvio Mariano. Current Control Optimization for Grid-tied Inverters Using Cuckoo Search Algorithm. KnE Engineering. 2020; ():795–804-795–804.

Chicago/Turabian Style

João Faria; José Pombo; Maria Do Rosário Calado; Sílvio Mariano. 2020. "Current Control Optimization for Grid-tied Inverters Using Cuckoo Search Algorithm." KnE Engineering , no. : 795–804-795–804.

Journal article
Published: 14 April 2020 in Energies
Reads 0
Downloads 0

This paper proposes a new method for the simultaneous determination of the optimal control parameters of proportional resonant controllers and the optimal design of the output filter of a grid-tied three-phase inverter. The proposed method, based on the grey wolf optimization (GWO) algorithm, addresses both optimization problems as a single process to achieve a better system frequency response. It optimizes the unknown parameters by using a fitness function to find the best trade-off between the following fundamental terms: the harmonic attenuation rate; the power loss, through the damping resistor; and the current tracking error in the stationary frame, ensuring the system and grid stability. To validate the proposed optimization methodology, two case studies are considered with different output filter topologies with passive damping methods. The results obtained from the proposed optimization procedure were analyzed and discussed according to the fitness function terms.

ACS Style

João Faria; João Fermeiro; José Pombo; Maria Calado; Sílvio Mariano. Proportional Resonant Current Control and Output-Filter Design Optimization for Grid-Tied Inverters Using Grey Wolf Optimizer. Energies 2020, 13, 1923 .

AMA Style

João Faria, João Fermeiro, José Pombo, Maria Calado, Sílvio Mariano. Proportional Resonant Current Control and Output-Filter Design Optimization for Grid-Tied Inverters Using Grey Wolf Optimizer. Energies. 2020; 13 (8):1923.

Chicago/Turabian Style

João Faria; João Fermeiro; José Pombo; Maria Calado; Sílvio Mariano. 2020. "Proportional Resonant Current Control and Output-Filter Design Optimization for Grid-Tied Inverters Using Grey Wolf Optimizer." Energies 13, no. 8: 1923.

Journal article
Published: 08 March 2019 in Energies
Reads 0
Downloads 0

Standalone microgrids with photovoltaic (PV) solutions could be a promising solution for powering up off-grid communities. However, this type of application requires the use of energy storage systems (ESS) to manage the intermittency of PV production. The most commonly used ESSs are lithium-ion batteries (Li-ion), but this technology has a low lifespan, mostly caused by the imposed stress. To reduce the stress on Li-ion batteries and extend their lifespan, hybrid energy storage systems (HESS) began to emerge. Although the utilization of HESSs has demonstrated great potential to make up for the limitations of Li-ion batteries, a proper power management strategy is key to achieving the HESS objectives and ensuring a harmonized system operation. This paper proposes a novel power management strategy based on an artificial neural network for a standalone PV system with Li-ion batteries and super-capacitors (SC) HESS. A typical standalone PV system is used to demonstrate and validate the performance of the proposed power management strategy. To demonstrate its effectiveness, computational simulations with short and long duration were performed. The results show a minimization in Li-ion battery dynamic stress and peak current, leading to an increased lifespan of Li-ion batteries. Moreover, the proposed power management strategy increases the level of SC utilization in comparison with other well-established strategies in the literature.

ACS Style

João Faria; José Pombo; Maria Do Rosário Calado; Sílvio Mariano. Power Management Control Strategy Based on Artificial Neural Networks for Standalone PV Applications with a Hybrid Energy Storage System. Energies 2019, 12, 902 .

AMA Style

João Faria, José Pombo, Maria Do Rosário Calado, Sílvio Mariano. Power Management Control Strategy Based on Artificial Neural Networks for Standalone PV Applications with a Hybrid Energy Storage System. Energies. 2019; 12 (5):902.

Chicago/Turabian Style

João Faria; José Pombo; Maria Do Rosário Calado; Sílvio Mariano. 2019. "Power Management Control Strategy Based on Artificial Neural Networks for Standalone PV Applications with a Hybrid Energy Storage System." Energies 12, no. 5: 902.

Conference paper
Published: 01 June 2018 in 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Reads 0
Downloads 0

Hybrid energy storage systems that combine the high density power of the supercapacitors with the high energy density of the Li-ion batteries have been substantially researched, with great interest. This manuscript proposes a new power management strategy implemented using the Rule based controller which considers the state of charge of the Li-ion batteries (SOC). The Li-ion batteries are used to provide a steady and constant power, function of the state of charge (SOC), enabling a higher efficiency and extending batteries lifespan. A typical standalone PV application is used to demonstrate and validate the performance of the proposed power management strategy.

ACS Style

João Pedro Faria; Jose Pombo; Sílvio José Pinto Simões Mariano; M. Do Rosário Calado. Power Management Strategy for Standalone PV Applications with Hybrid Energy Storage System. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2018, 1 -6.

AMA Style

João Pedro Faria, Jose Pombo, Sílvio José Pinto Simões Mariano, M. Do Rosário Calado. Power Management Strategy for Standalone PV Applications with Hybrid Energy Storage System. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2018; ():1-6.

Chicago/Turabian Style

João Pedro Faria; Jose Pombo; Sílvio José Pinto Simões Mariano; M. Do Rosário Calado. 2018. "Power Management Strategy for Standalone PV Applications with Hybrid Energy Storage System." 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-6.