Cost, environmental impact, and resilience of renewable energy under a changing climate: a review

AI Osman, L Chen, M Yang, G Msigwa… - Environmental chemistry …, 2023 - Springer
Energy derived from fossil fuels contributes significantly to global climate change,
accounting for more than 75% of global greenhouse gas emissions and approximately 90 …

Considerations on environmental, economic, and energy impacts of wind energy generation: Projections towards sustainability initiatives

G Msigwa, JO Ighalo, PS Yap - Science of The Total Environment, 2022 - Elsevier
The energy sector contributes significantly to the emission of greenhouse gases (GHGs) due
to the use of fossil fuels which leads to climate change problems. Worldwide, there is a shift …

Expert elicitation survey predicts 37% to 49% declines in wind energy costs by 2050

R Wiser, J Rand, J Seel, P Beiter, E Baker, E Lantz… - Nature Energy, 2021 - nature.com
Wind energy has experienced accelerated cost reduction over the past five years—far
greater than predicted in a 2015 expert elicitation. Here we report results from a new survey …

[HTML][HTML] Techno-economic analysis of wind-powered green hydrogen production to facilitate the decarbonization of hard-to-abate sectors: A case study on …

F Superchi, A Mati, C Carcasci, A Bianchini - Applied Energy, 2023 - Elsevier
Green hydrogen is among the most promising energy vectors that may enable the
decarbonization of our society. The present study addresses the decarbonization of hard-to …

The effect of differentiating costs of capital by country and technology on the European energy transition

F Polzin, M Sanders, B Steffen, F Egli, TS Schmidt… - Climatic Change, 2021 - Springer
Cost of capital is an important driver of investment decisions, including the large investments
needed to execute the low-carbon energy transition. Most models, however, abstract from …

Improvement of wind power prediction from meteorological characterization with machine learning models

C Sasser, M Yu, R Delgado - Renewable Energy, 2022 - Elsevier
To mitigate uncertainties in wind resource assessments and to improve the estimation of
energy production of a wind project, this work uses a decision tree machine learning model …

Atmospheric drivers of wind turbine blade leading edge erosion: Review and recommendations for future research

SC Pryor, RJ Barthelmie, J Cadence, E Dellwik… - Energies, 2022 - mdpi.com
Leading edge erosion (LEE) of wind turbine blades causes decreased aerodynamic
performance leading to lower power production and revenue and increased operations and …

Wind power costs driven by innovation and experience with further reductions on the horizon

P Beiter, A Cooperman, E Lantz… - Wiley …, 2021 - Wiley Online Library
The costs of wind power have declined to levels on par with or below those of conventional
sources in many parts of the world. Wind power has become one of the fastest‐growing …

Valuation effect of ESG and its impact on capital structure: Evidence from Europe

MA Khan, MK Hassan, MP Maraghini, B Paolo… - International Review of …, 2024 - Elsevier
In this study, we examine the valuation effect of ESG performance using a sample of 895
European companies. The misvaluation of the company is determined by the ratio of its …

[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 …