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Keywords = E2O Offshore Experimental Station

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22 pages, 3867 KiB  
Article
Routing a Fleet of Drones from a Base Station for Emission Detection of Moving Ships by Genetic Algorithm
by Xiaoqiong Bao, Zhi-Hua Hu and Yanling Huang
J. Mar. Sci. Eng. 2024, 12(6), 891; https://doi.org/10.3390/jmse12060891 - 27 May 2024
Cited by 2 | Viewed by 1350
Abstract
A fleet of drones is considered in the routing problems with an offshore drone base station, considering the simultaneous movements of drones and ships. A model, entitled meeting model, between a drone and a moving ship is devised, and an extended model is [...] Read more.
A fleet of drones is considered in the routing problems with an offshore drone base station, considering the simultaneous movements of drones and ships. A model, entitled meeting model, between a drone and a moving ship is devised, and an extended model is developed based on the vehicle routing problem model. A genetic algorithm based on a sequential insert heuristic (SIH) is designed to solve the model as a holistic framework with two strategies to determine the sequential assignments of ships to drones, namely, the DroneByDrone, and ShipByShip strategies. The proposed models and solution algorithms are demonstrated and verified by experiments. Numerical studies show that the DroneByDrone strategy can overperform the ShipByShip strategy regarding traveling distances. In addition, when considering the simultaneous movement of the ship and drone, improving the drone flying speeds can reduce the flying time of drones rather than optimizing the ship’s moving speed. The managerial implications and possible extensions are discussed based on modeling and experimental studies. Full article
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17 pages, 3817 KiB  
Article
Simplified Assessment on the Wind Farm Noise Impact of the E2O Experimental Offshore Station in the Asturian Coast
by Katia María Argüelles Díaz, Sandra Velarde-Suárez, Jesús Manuel Fernández Oro and José González Pérez
Energies 2020, 13(21), 5788; https://doi.org/10.3390/en13215788 - 5 Nov 2020
Cited by 3 | Viewed by 2605
Abstract
This paper presents a preliminary evaluation of the acoustic impact of an offshore experimental wind farm (E2O), conceived and planned to be installed in Asturias on Spain’s northwest coast. A simplified assessment of the wind turbines’ noise impact at an offshore [...] Read more.
This paper presents a preliminary evaluation of the acoustic impact of an offshore experimental wind farm (E2O), conceived and planned to be installed in Asturias on Spain’s northwest coast. A simplified assessment of the wind turbines’ noise impact at an offshore platform was performed numerically, adapting commercial software for room acoustics to this particular application. As a result, the sound levels at specific receiver sites on the coastline were estimated to select the most convenient level between the two possible locations. Parameters from acoustic emission data of the selected wind turbines were introduced as inputs to the simulation, and the noise propagation in the analyzed domains (for different values of their basic parameters) was simulated. Complementarily, the numerical results were compared to calculations following the ISO 9613-2 standard on sound propagation outdoors for validation purposes, showing good overall agreement. The results revealed that both projected areas under consideration follow the current normative concerning the prescribed acoustic limits, according to the predicted low sound pressure values at the specific considered receiver sites. Full article
(This article belongs to the Special Issue Offshore Wind Energy Technology and System Integration)
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