A Geographic Multi-Scale Machine Learning Framework for Predicting Solar Irradiation on Tilted Surfaces DOI
Sameer Al‐Dahidi, Bilal Rinchi, Raghad Dababseh

и другие.

Energy, Год журнала: 2024, Номер 313, С. 133767 - 133767

Опубликована: Ноя. 8, 2024

Язык: Английский

High-throughput design and performance validation of superior latent heat eutectic salt materials DOI
Fengyi Yang,

Yimin Xuan,

Xianglei Liu

и другие.

Journal of Energy Storage, Год журнала: 2025, Номер 114, С. 115864 - 115864

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

0
Assessing the performance of physical transposition models in photovoltaic power forecasting: A comprehensive micro and macro accuracy analysis DOI Creative Commons

Eslam Mahmoudi,

João Lucas de Souza Silva, Tárcio André dos Santos Barros

и другие.

Energy Conversion and Management X, Год журнала: 2024, Номер unknown, С. 100792 - 100792

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

3
Horizontal-to-tilted conversion of solar radiation data using machine learning algorithms DOI
Ali Naci Çelik, Bahadır Sarman, Kemal Polat

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 153, С. 110951 - 110951

Опубликована: Апрель 26, 2025

Язык: Английский

Процитировано

0
New Categorized Machine Learning Models for Daily Solar Irradiation Estimation in Southern Morocco's, Zagora City DOI Creative Commons
Zineb Bounoua, Laila Ouazzani Chahidi, Abdellah Mechaqrane

и другие.

e-Prime - Advances in Electrical Engineering Electronics and Energy, Год журнала: 2024, Номер unknown, С. 100777 - 100777

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1
Techno-Economic Assessment of Bifacial Photovoltaic Systems under Desert Climatic Conditions DOI Open Access
Osama Ayadi, Bilal Rinchi, Sameer Al‐Dahidi

и другие.

Sustainability, Год журнала: 2024, Номер 16(16), С. 6982 - 6982

Опубликована: Авг. 15, 2024

The decaying prices and improving efficiency of bifacial solar photovoltaic (PV) technologies make them most promising for harnessing radiation. Deserts have a high potential, but harsh conditions like temperatures dust negatively affect the performance any proposed system. attractive aspect deserts is their long-term sustainability, as they are free from urban agricultural expansion. In this work, System Advisor Model (SAM) software version 2023.12.17 was used to model 100 MW PV plant evaluate techno-economic fixed, 1-axis, 2-axis systems under climatic six around world. This study explores technical parameters such ratio, specific yield, capacity factor. Additionally, levelized cost energy (LCOE) indicator compare economic different systems. Results showed yield: averages three in were 2040, 2372, 2555 kWh/kWp, respectively. Economic analysis found that an LCOE below 4 ¢/kWh achievable all deserts, reaching minimum 2.45 favorable conditions. These results emphasize potential utility-scale projects advance green, sustainable future.

Язык: Английский

Процитировано

1
A Geographic Multi-Scale Machine Learning Framework for Predicting Solar Irradiation on Tilted Surfaces DOI
Sameer Al‐Dahidi, Bilal Rinchi, Raghad Dababseh

и другие.

Energy, Год журнала: 2024, Номер 313, С. 133767 - 133767

Опубликована: Ноя. 8, 2024

Язык: Английский

Процитировано

0