Approximately 10 years ago, convection‐permitting regional climate models (CPRCMs)
emerged as a promising computationally affordable tool to produce fine resolution (1–4 km) …

Accurately predicting the power produced during solar power generation can greatly reduce
the impact of the randomness and volatility of power generation on the stability of the power …

Agroforest woody residual biomass can play an essential role in the decarbonization of
energy production and in meeting the targets imposed for carbon neutrality. However, due to …

The increased power demand needs the installation of more power-generating units. Apart
from conventional power generating stations based on fossil fuel combustion, recently solar …

Dust plays a vital role in the Earth's climate system and can also modulate solar energy yield
from photovoltaics due to soiling and it also impacts concentrated solar power outputs by up …

Intermittent weather conditions affect solar and wind generated electricity with storage that
require optimisation. Solar Photovoltaics-Wind-Battery Hybrid Systems (PV–W–B) are ideal …

Solar energy is playing an increasingly important role in the production of electricity through
photovoltaic and Concentrated Solar Power (CSP) systems. This type of energy requires an …

Solar energy production is affected by the attenuation of incoming irradiance from
underlying clouds. Often, improvements in the short-term predictability of irradiance using …

This paper concerns technology challenges for the wind and solar sectors and the role of
computational science in addressing the above. Wind energy challenges include …

Nowadays, with the development of international policies and agreements to promote the
integration of renewable energy sources, mainly solar and wind, modeling the solar …