Prakash, Kandi Bhanu Kakinatla, Suresh Burada, Sankara Rao Malla, Siva Ganesh
Published in
E3S Web of Conferences
Mobiles are becoming a part of our daily life and the usages of mobile phones are increasing day by day to simplify our lifestyle. The charging in the battery is very important to operate the mobile. However, the availability of charging points is very difficult to find in public places including bus stands, railway stations, most populated areas e...
Vij, Priya Yadav, Kamlesh Kumar
Published in
E3S Web of Conferences
The power distribution systems with the wind energy backup have been well studied. There exist number of approaches in regulating required voltage for the electrical devices which uses only few parameters like number of connections, number of devices and residual voltage in various sources. However, they suffer to achieve higher performance in volt...
Pillai, Anu G.
Published in
E3S Web of Conferences
The power regulation and distribution in smart cities has been well studied. There exists number of methods around the problem. Some of the method uses the voltage availability in the grids of power system and some of them use the cost of energy in the power grids. However, the methods suffer to achieve higher performance in power distribution and ...
Schøler, J. P. Rosi, N. Quick, J. Riva, R. Andersen, S. J. Murcia Leon, J. P. Van Der Laan, M. P. Réthoré, P.-E.
Published in
Journal of Physics: Conference Series
Artificial Neural Networks (ANNs) are being applied as a faster alternative to Computational Fluid Dynamics (CFD) for wind turbine engineering wake models. Unfortunately, ANNs can fail to generalize if the data is insufficient. Physics-Informed Neural Networks (PINNs) can improve convergence while lowering the required data amounts. This paper inve...
K, Kannakumar M K, Murthi G, Ravivarman Babu D, Magesh Babu Loganathan, Ganesh R, Karthikeyan R, Girimurugan
Published in
E3S Web of Conferences
To determine the wind energy potential, the probability density function is typically used. For data distribution with modest wind speeds, this paper developed a three-parameter Weibull model. The distribution factors were determined using the maximal likelihood technique. The world renowned, user-friendly programming language Matrix Laboratory (MA...
Kristianti, Fanny Gerber, Franziska Gonzalez-Herrero, Sergi Dujardin, Jerome Huwald, Hendrik Hoch, Sebastian W. Lehning, Michael
Wind energy is one of the potential options to fill the gap in renewable energy production in Switzerland during the winter season when the energy demand exceeds local production capacities. With likely further rising energy consumption in the future, the winter energy deficit may further increase. However, a reliable assessment of wind energy pote...
Tang, Chao Morel, Béatrice
As intermittent meteorological resources become increasingly vital in our energy system, it is crucial to better understand how a changing climate may affect weather variability and, in turn, influence future wind energy production. This study evaluates the performance of climate models in reproducing wind resources over Southern Africa (SA), and i...
Broertjes, Thomas (author)
In response to the urgent need for renewable energy amidst the escalating impacts of global warming, this study delves into the forefront of wind energy research, particularly focusing on the innovative Multi-Rotor System (MRS). The MRS concept offers a promising departure from the prevailing trend of scaling up traditional turbines, instead propos...
Oscar Claveria Carty, Christina Claveria, Oscar
Published in
Environmental Development
Recent energy tensions have added to the pressure that global warming has been exerting for an energy transition towards low-carbon energy sources such as renewable energy sources (RES). This study proposes a novel methodology to inspect the interactions between wind and solar energy development relative to other RES and a wide range of socioeconom...
Dai, Tao Valanarasu, Jeya Maria Jose Zhao, Yifan Zheng, Shuwen Sun, Yinong Patel, Vishal M Jordaan, Sarah M
Estimates of the land area occupied by wind energy differ by orders of magnitude due to data scarcity and inconsistent methodology. We developed a method that combines machine learning-based imagery analysis and geographic information systems and examined the land area of 318 wind farms (15,871 turbines) in the U.S. portion of the Western Interconn...