MODELING OF ALBEDO FOR USVS' POWERED BY RENEWABLE SOURCES IN VARIABLE HYDROMETEOROLOGICAL CONDITIONS

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.

Authors

Institutions

Publication Details

Journal
REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE
Published
2025-08-30
DOI
https://doi.org/10.59277/rrst-ee.2025.3.10
Primary Topic
Water-Energy-Food Nexus Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MODELING OF ALBEDO FOR USVS' POWERED BY RENEWABLE SOURCES IN VARIABLE HYDROMETEOROLOGICAL CONDITIONS

Ovidiu Cristea, Florențiu Deliu, Mihaela-Greti Manea, Nicolae-Silviu Popa et al.
1 links
REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE
Water-Energy-Food Nexus Studies
article

MODELING OF ALBEDO FOR USVS' POWERED BY RENEWABLE SOURCES IN VARIABLE HYDROMETEOROLOGICAL CONDITIONS

Ovidiu Cristea, Florențiu Deliu, Mihaela-Greti Manea, Nicolae-Silviu Popa, Ciprian Popa, Mihai-Octavian Popescu
article en

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.

REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUEVol. 70(3)
Mircea cel Batran Naval Academy (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
National University of Science and Technology, U.S. Naval Academy
Openalex Percentile: Top 78%
Water-Energy-Food Nexus Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.