Results 61 to 70 of about 1,108 (256)

Validation of the medium-range and sub-seasonal forecast of solar irradiance and wind speed using ECMWF

Energy Reports, 2023
Medium-range and sub-seasonal forecasts of solar irradiation and 10-m wind speed are commonly assessed with an ensemble forecast over the Indo-China region.
Veeranjaneyulu Chinta, Guiting Song, Wei Zhang   +2 more
doaj   +1 more source

Self‐Adaptive Non‐Flammable Wallpaper With Layered Bead‐Network Structure for Light Path Modulation Enabling on‐Demand Building Thermal Management

Advanced Science, EarlyView.
A layered bead‐network wallpaper is designed to modulate the light propagation path, overcoming the color residue limitations of thermochromic components for efficient automatic switching between radiative cooling and solar heating modes. The layered bead‐network wallpaper provides passive, all‐season thermal regulation while offering self‐cleaning and
Jianyu Wu, Linmin Xia, Jiankun Wu, Yuying Yang, Wuhong Zhong, Jianguo Li, Yan Yu, Rilong Yang   +7 more
wiley   +1 more source

A Gridded Solar Irradiance Ensemble Prediction System Based on WRF-Solar EPS and the Analog Ensemble

Atmosphere, 2023
The WRF-Solar Ensemble Prediction System (WRF-Solar EPS) and a calibration method, the analog ensemble (AnEn), are used to generate calibrated gridded ensemble forecasts of solar irradiance over the contiguous United States (CONUS).
Stefano Alessandrini, Ju-Hye Kim, Pedro A. Jimenez, Jimy Dudhia, Jaemo Yang, Manajit Sengupta   +5 more
doaj   +1 more source

Closed‐Loop Radiative Cooling Mulch Upcycled From Agricultural Residues for Efficient Soil Heat–Water Stress Mitigation

Advanced Science, EarlyView.
Conventional passive radiative cooling films rely on costly feedstocks and energy‐intensive fabrication, with poor end‐of‐life compatibility in agriculture. To address this challenge, a sustainable radiative cooling mulch (SRCM) is developed from waste maize leaves via spontaneous hydrogen‐bond self‐assembly.
Hao Li, Dong Lv, Yang Fu, Cancheng Jiang, Wenqi Wang, Ze Li, Lin Liang, Jiayu Du, Jie Tan, Yihao Zhu, Wenjie Liu, Lamfeddal Kouisni, Kaixin Lin, Chi Yan Tso   +13 more
wiley   +1 more source

Very short-term probabilistic and scenario-based forecasting of solar irradiance using Markov-chain mixture distribution modeling

Solar Energy Advances
This study investigates probabilistic and scenario-based forecasting of solar irradiance with Markov-chain mixture (MCM) distribution modeling, Persistence Ensemble (PeEn) and Climatology.
Joakim Munkhammar
doaj   +1 more source

Local-global methods for generalised solar irradiance forecasting

Applied Intelligence
AbstractFor efficient operation, solar power operators often require generation forecasts for multiple sites with varying data availability. Many proposed methods for forecasting solar irradiance / solar power production formulate the problem as a time-series, using current observations to generate forecasts.
Timothy Cargan, Dario Landa-Silva, Isaac Triguero   +2 more
openaire   +3 more sources

Intrinsic Coupling of Radiative Cooling and Triboelectric Responses in Dual‐Function ZrO2 Nanocomposites for Adaptive Thermoregulation

Advanced Science, EarlyView.
A novel nanocomposite design strategy utilizes ZrO2 to intrinsically couple passive daytime radiative cooling and triboelectric functionality within a single material platform. Fabricated via direct ink writing, the multifunctional breathable architecture provides effective sub‐ambient cooling, motion‐driven energy harvesting, and adaptive ...
Yoon Young Choi, Pranto Karua, Md Salauddin, Lili Cai   +3 more
wiley   +1 more source

ZrO2 Aerogel‐Supported Pd Nanoparticles for Photothermal CO2 Reduction

Advanced Science, EarlyView.
Nanoparticle‐based aerogels are promising catalysts for photothermal reactions due to optical transparency, high surface area, and low thermal conductivity. Here, we present deposition of Pd nanoparticles on ZrO2 aerogel granules by a wet‐impregnation approach.
David Kiwic, Linard Räz, Elena Tervoort, Markus Niederberger   +3 more
wiley   +1 more source

Geographically agnostic machine learning model for forecasting solar irradiance

TESEA, Transactions on Energy Systems and Engineering Applications
Solar Photovoltaic (PV) systems are essential in combating the energy crisis. The intermittent nature of solar isolation is a significant setback. Forecasting of solar irradiance offers a viable solution.
Anupama R Itagi, Mrityunjaya Kappali, Rakhee Kallimani, Krishna Pai   +3 more
doaj   +1 more source

Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting

, 2021
Solar energy is currently among the most important and convenient renewable sources, with a great potential to reduce the use of fossil fuels. However, power generation from solar panels is very irregular and highly dependent on weather conditions. Therefore, solar irradiance forecasting is a fundamental task to ensure an efficient power management. In
Manuel Carranza-García, Pedro Lara-Benítez, José María Luna-Romera, José C. Riquelme   +3 more
openaire   +2 more sources