[HTML][HTML] Historical wind deployment and implications for energy system models
A critical parameter in modeling studies of future decarbonized energy systems is the
potential future capacity for onshore wind power. Wind power potential in energy system …
potential future capacity for onshore wind power. Wind power potential in energy system …
[HTML][HTML] Onshore wind farm development: Technologies and layouts
F Haces-Fernandez, M Cruz-Mendoza, H Li - Energies, 2022 - mdpi.com
Significantly growing wind energy is being contemplated as one of the main avenues to
reduce carbon footprints and decrease global risks associated with climate change …
reduce carbon footprints and decrease global risks associated with climate change …
Development of onshore wind turbine fleet counteracts climate change-induced reduction in global capacity factor
C Jung, D Schindler - Nature Energy, 2022 - nature.com
The capacity factor (cf) is a critical variable for quantifying wind turbine efficiency. Climate
change-induced wind resource variations and technical wind turbine fleet development will …
change-induced wind resource variations and technical wind turbine fleet development will …
[HTML][HTML] Towards global validation of wind power simulations: A multi-country assessment of wind power simulation from MERRA-2 and ERA-5 reanalyses bias …
Reanalysis data are widely used for simulating renewable energy and in particular wind
power generation. While MERRA-2 has been a de-facto standard in many studies for a long …
power generation. While MERRA-2 has been a de-facto standard in many studies for a long …
A hybrid physics-informed neural network for main bearing fatigue prognosis under grease quality variation
YA Yucesan, FAC Viana - Mechanical Systems and Signal Processing, 2022 - Elsevier
Fatigue life of a wind turbine main bearing is drastically affected by the state of the grease
used as lubricant. Unfortunately monitoring the grease condition through predictive models …
used as lubricant. Unfortunately monitoring the grease condition through predictive models …
[HTML][HTML] Harmonised global datasets of wind and solar farm locations and power
Energy systems need decarbonisation in order to limit global warming to within safe limits.
While global land planners are promising more of the planet's limited space to wind and …
While global land planners are promising more of the planet's limited space to wind and …
Observation-based solar and wind power capacity factors and power densities
Power density is the rate of energy generation per unit of land surface area occupied by an
energy system. The power density of low-carbon energy sources will play an important role …
energy system. The power density of low-carbon energy sources will play an important role …
Evidence of region‐wide bat population decline from long‐term monitoring and Bayesian occupancy models with empirically informed priors
TJ Rodhouse, RM Rodriguez, KM Banner… - Ecology and …, 2019 - Wiley Online Library
Strategic conservation efforts for cryptic species, especially bats, are hindered by limited
understanding of distribution and population trends. Integrating long‐term encounter …
understanding of distribution and population trends. Integrating long‐term encounter …
Wind Farm Layout Optimization (WindFLO): An advanced framework for fast wind farm analysis and optimization
SR Reddy - Applied Energy, 2020 - Elsevier
A new framework for Wind Farm Layout Optimization (WindFLO) is developed to accelerate
the design of wind farms. The framework provides a large set of analytical wake models and …
the design of wind farms. The framework provides a large set of analytical wake models and …
[HTML][HTML] Predicting commercial wind farm site suitability in the conterminous United States using a logistic regression model
JJ Wimhurst, JS Greene, J Koch - Applied Energy, 2023 - Elsevier
Guiding wind energy sector growth through suitability analysis is a growing priority. We
present in this work a logistic regression model that predicts suitable sites for state-level and …
present in this work a logistic regression model that predicts suitable sites for state-level and …