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China's future wind energy considering air density during climate change
Z Zhang, Y Liang, X Xue, Y Li, M Zhang, Y Li… - … and Sustainable Energy …, 2024 - Elsevier
To assess the impact of air density on future wind resources under representative
concentration pathway (RCP) scenarios (RCP2. 6, RCP4. 5, and RCP8. 5), the Coordinated …
concentration pathway (RCP) scenarios (RCP2. 6, RCP4. 5, and RCP8. 5), the Coordinated …
Assessment of urban wind energy resource in Hong Kong based on multi-instrument observations
Urban wind power is an appealing alternative for electricity supply. Comprehensive urban
wind resource assessment is a prerequisite for cost-efficient deployment of wind turbines …
wind resource assessment is a prerequisite for cost-efficient deployment of wind turbines …
Wind energy resource assessment and wind turbine selection analysis for sustainable energy production
P Spiru, PL Simona - Scientific Reports, 2024 - nature.com
The objective of this study is to perform an analysis to determine the most suitable type of
wind turbine that can be installed at a specific location for electricity generation, using …
wind turbine that can be installed at a specific location for electricity generation, using …
A review of solar and wind energy resource projection based on the Earth system model
G Chen, Z Ji - Sustainability, 2024 - mdpi.com
Many countries around the world are rapidly advancing sustainable development (SD)
through the exploitation of clean energy sources such as solar and wind energy, which are …
through the exploitation of clean energy sources such as solar and wind energy, which are …
Preparation of biochar-based photothermal superhydrophobic coating based on corn straw biogas residue and blade anti-icing performance by wind tunnel test
Z Liu, Y Li, Y Sun, F Feng, K Tagawa - Renewable Energy, 2023 - Elsevier
The utilization of biological resources is conducive to alleviating energy shortages and
environmental pollution, and the application of biochar to anti-icing can promote green low …
environmental pollution, and the application of biochar to anti-icing can promote green low …
China's onshore wind energy potential in the context of climate change
L Ji, J Li, L Sun, S Wang, J Guo, Y ** renewable energy to achieve its carbon neutrality
goals. Orderly development of renewable energy is essential to enhance resource utilization …
goals. Orderly development of renewable energy is essential to enhance resource utilization …
Map** future offshore wind resources in the South China Sea under climate change by regional climate modeling
Cost-effective deployment of wind energy systems benefits from a thorough understanding
of wind resources. Therefore, it is imperative to figure out how the spatiotemporal patterns of …
of wind resources. Therefore, it is imperative to figure out how the spatiotemporal patterns of …
Design, implementation, and experimental validation of a new low-cost sensorless wind turbine emulator: Applications for small-scale turbines
H Alnami, SAEM Ardjoun… - Wind Engineering, 2024 - journals.sagepub.com
Research and investigation into renewable energy sources is being sparked by the rapidly
rising need for electricity, higher costs of fossil fuels, and increasing worries about the …
rising need for electricity, higher costs of fossil fuels, and increasing worries about the …
Foreseeing the spatio-temporal offshore wind energy potential of India using a differential weighted ensemble created using CMIP6 datasets
Offshore wind energy assessments help in identifying suitable locations for offshore wind
farms. Its importance is further amplified in the context of climate change as wind power …
farms. Its importance is further amplified in the context of climate change as wind power …
Optimizing urban water sustainability: Integrating deep learning, genetic algorithm, and CMIP6 GCM for groundwater potential zone prediction within a social …
This study presents a novel approach to groundwater resource assessment and drought
vulnerability, achieved through integrating cutting-edge deep-learning algorithms into a …
vulnerability, achieved through integrating cutting-edge deep-learning algorithms into a …