Results 111 to 120 of about 95,308 (265)

Techno‐Economic Assessment of Large‐Scale Renewable Energy Systems: A Case Study in the Gulf Cooperation Council

Energy Science &Engineering, EarlyView.
A consistent 3 GW hybrid solar–wind configuration was assessed across five GCC locations, revealing substantial regional differences in energy yield and economic performance. Saudi Arabia and Oman achieved the highest generation and lowest LCOE, while the systems delivered substantial CO2 emission reductions across the region.
Ammar Al Sawafi, Al Hussain Al Rashdi, Yahya Al Ismaili, Kevin Hughes, Lin Ma, Derek Ingham, Mohammed Pourkashanian, Yang Zhang, Bill Nimmo   +8 more
wiley   +1 more source

Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data. [PDF]

Sci Rep, 2023
Ong SQ, Isawasan P, Ngesom AMM, Shahar H, Lasim AM, Nair G.   +5 more
europepmc   +1 more source

Robust Coordinated Reserve Optimization Method for Electricity–Gas Systems Considering Multi‐Source Coupling and Multiple Uncertainties

Energy Science &Engineering, EarlyView.
This study proposes a two‐stage robust reserve optimization method for coupled electricity–gas systems to mitigate wind–solar fluctuations and transmission‐line contingencies. By coordinating cross‐network reserves and linearizing complex gas flow equations, the approach significantly enhances system security and economic efficiency under multiple ...
Jianbo Nie, Youbing Zhang, Zhou Lan, Hao Xu, Yongqi Liu, Guofeng Wang   +5 more
wiley   +1 more source

Meteorological Data [PDF]

Nature, 1959
openaire   +1 more source

Performance Degradation of Common Photovoltaic Module Temperature Models From a Lowland Site to a Highland Site in Western China

Energy Science &Engineering, EarlyView.
Four PV module temperature models (Ross, Faiman, PVsyst, and SAPM) in pvlib systematically underestimate module temperature, particularly in high‐altitude environments. Site‐specific recalibration substantially reduces model bias, while the limited transferability of empirical coefficients highlights the need for locally adapted parameterization in ...
Xingde Yuan, Mingzhu Zhang, Rongmingzhu Su, Qiang Yuan, Yong Luo, Xinyao Zhang, Yuwei Zhang, Zhe Peng, Jia He, Min He, Yabing Guo, Changhong Yang, Kun Yang   +12 more
wiley   +1 more source

Explainable and Uncertainty‐Aware Neural Modeling of Industrial CO2 Emissions With Economic, Energy, and Institutional Interaction Dynamics

Energy Science &Engineering, EarlyView.
A global panel of 5138 country–year observations from 165 countries (1990–2024) integrates industrial CO2 emissions, economic structure, renewable‐energy use, and institutional indicators. A dual‐input neural network combines engineered numeric features with learned country embeddings to forecast industrial CO2 emissions under rolling‐origin temporal ...
Syed Azeem Inam, Saddam Umer, Hashir Shaikh, Amal K. Alkhalifa   +3 more
wiley   +1 more source

Application of Artificial Intelligence in analysing meteorological data for health research: A rapid review. [PDF]

Air Qual Atmos Health
Michels LV, Smith L, Ghannam S, Gadd C, Dambha-Miller H.   +4 more
europepmc   +1 more source

Electrolyzer Sizing and Techno‐Economic Assessment of Small‐Hydropower‐Based Green Hydrogen Using 3 Years of Hourly Generation Data

Energy Science &Engineering, EarlyView.
Three years (26,280 h) of measured Miryang Dam hydropower data were used to screen 300–1200 kW PEM electrolyzer capacities. A 600 kW unit provided the equal‐weight technical balance between hydropower capture (84.71%) and electrolyzer utilization (86.25%), whereas the planned 1 MW design captured 98.11% of available renewable energy but operated at a ...
Yonghae Jang, Yosoon Choi
wiley   +1 more source

Initial results of the meteorological data from the first 325 sols of the Tianwen-1 mission. [PDF]

Sci Rep, 2023
Jiang C, Jiang Y, Li H, Du S.
europepmc   +1 more source

Air pollution exposure during training impairs performance in Thoroughbred racehorses

Equine Veterinary Journal, EarlyView.
Abstract Background Ambient air pollution contributes substantially to human morbidity and mortality, and athletes are recognised as a particularly vulnerable group. However, little is known about the impact of air pollution on equine athletes. Objectives To explore the relationship between air pollution exposure during the pre‐competition training ...
Danielle Scott, Kathryn Seabaugh, Linda Kim, Sheryl Magzamen, Colleen Duncan   +4 more
wiley   +1 more source