Work

Modeling of Albedo for Usvs' Powered by Renewable Sources in Variable Hydrometeorological Conditions

Year: 2025

Type: article

Abstract: This study introduces an innovative mathematical model developed to calculate albedo as a function of wave height and wind speed, two critical parameters that enhance the efficiency of photovoltaic panels used by unmanned surface vehicles (USVs) in dynamic hydrometeorological conditions. Albedo, defined as the proportion of energy reflected by a surface, significantly impacts the conversion of solar radiation into electrical power. The proposed model underwent validation through both simulations and experimental measurements using LabVIEW and DIAdem tools, demonstrating a 96% accuracy under real-world conditions. These results confirm the model's effectiveness in forecasting energy output and optimizing energy management for autonomous maritime operations.

Source: REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE

DOI: 10.59277/rrst-ee.2025.3.10

Authors: NICOLAE-SILVIU POPA, CIPRIAN POPA, OVIDIU CRISTEA, FLORENŢIU DELIU, MIHAELA-GRETI MANEA, MIHAI-OCTAVIAN POPESCU

Institutions: Universitatea Națională de Știință și Tehnologie Politehnica București, Mircea cel Batran Naval Academy

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: diamond

Funders: National University of Science and Technology, U.S. Naval Academy