A Method of Assessing the Selection of Carport Power for an Electric Vehicle Using the Metalog Probability Distribution Family DOI Creative Commons
Arkadiusz Małek, Jacek Caban, Agnieszka Dudziak

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(13), P. 5077 - 5077

Published: June 30, 2023

This article presents a method for assessing the selection of carport power an electric vehicle using Metalog probability distribution family. Carports are used to generate electricity and provide shade vehicles parked underneath them. On roof carport, there is photovoltaic system consisting panels inverter. An inverter with Internet Things functions generates data packets which describe operation entire at certain intervals sends them via wireless transmission cloud server. The transmitted can be processed offline determine charging capacity individual vehicles. use family distributions predict production by accuracy distribution. Based on calculations, was selected that charged from carport.

Language: Английский

Strategic Model for Charging a Fleet of Electric Vehicles with Energy from Renewable Energy Sources DOI Creative Commons
Jacek Caban, Arkadiusz Małek, Branislav Šarkan

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(5), P. 1264 - 1264

Published: March 6, 2024

The ever-growing number of electric vehicles requires increasing amounts energy to charge their traction batteries. Electric are the most ecological when for charging them comes from renewable sources. Obtaining electricity sources such as photovoltaic systems is also a way reduce operating costs an vehicle. However, produce cheap sources, you first need invest in construction system. article presents strategic model fleet with systems. useful sizing planned system needs vehicle fleet. It uses Metalog family probability distributions determine producing given amount needed power chargers. Using model, it possible percentage total research was carried out on real data peak 50 kWp. approach presented takes into account geographical and climatic context related location can be used various different sizes fleets demands manage produced both at design stage during its operation.

Language: Английский

Citations

9

Strategic Model for Yellow Hydrogen Production Using the Metalog Family of Probability Distributions DOI Creative Commons
Arkadiusz Małek, Agnieszka Dudziak, Jacek Caban

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(10), P. 2398 - 2398

Published: May 16, 2024

Storing energy in hydrogen has been recognized by scientists as one of the most effective ways storing for many reasons. The first these reasons is availability technology producing from water using electrolytic methods. Another aspect relatively cheap renewable sources. Moreover, you can count on large amounts this energy. aim article to support decision-making processes related production yellow a strategic model which exploits metalog family probability distributions. This allows us calculate, with accuracy regarding distribution, amount produced photovoltaic systems specific peak power. Using question, it possible calculate expected electricity daily system and corresponding produced. Such may be appropriate developers who build intended specifically green hydrogen. Based our model, they estimate size needed produce assumed volume. also adopted producers Due precise calculations, up providing required part mix.

Language: Английский

Citations

6

A Method of Assessing the Selection of Carport Power for an Electric Vehicle Using the Metalog Probability Distribution Family DOI Creative Commons
Arkadiusz Małek, Jacek Caban, Agnieszka Dudziak

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(13), P. 5077 - 5077

Published: June 30, 2023

This article presents a method for assessing the selection of carport power an electric vehicle using Metalog probability distribution family. Carports are used to generate electricity and provide shade vehicles parked underneath them. On roof carport, there is photovoltaic system consisting panels inverter. An inverter with Internet Things functions generates data packets which describe operation entire at certain intervals sends them via wireless transmission cloud server. The transmitted can be processed offline determine charging capacity individual vehicles. use family distributions predict production by accuracy distribution. Based on calculations, was selected that charged from carport.

Language: Английский

Citations

12