Guest Editors
Dr. M. Premkumar, GMR Institute of Technology, Rajam, Andhra Pradesh, India
Dr. S. Umashankar, Prince Sulton University, Saudi Arabia
Dr. T. Sudhakar Babu, Universiti Tenaga Nasional (UNITEN), Malaysia
Summary
The exponential growth of industrialization and economic development increases the demand to energy. The problems such as threat to human health and the environment, shortage of the fossil fuels, variable price, and emissions, which cause climate change and global warming, and this situation is the main driving force behind the use of renewable energy sources (RESs). In fact, RESs can be defined as clean sources of energy that minimizes environmental impacts, produces minimum or zero secondary wastes, and is sustainable based on the energetic, economic, and social needs. RESs include, among others, wind, hydropower, solar, geothermal, marine energies, and biomass. RES is in a constant state of innovation in 2019, with new advances in technology announced constantly. In the past year alone, there have been milestones in conversion efficiency, energy storage, Nano grid/Microgrid/Smart grid, Artificial Intelligence (AI), Energy Block-chain, IoT etc. The renewable energy research initiative targets to leverage Research and Engineering capabilities to facilitate and enable the achievement of Sustainable Development Goal. A series of new developments in RES technology also promise to contribute to the industry’s success. The primary objective of this special session is to encourage translational research utilizing available lab-scale know-hows to consolidate research outcomes to advance current technologies in the related field to deliver potential solutions to solar sector industrial and societal applications. From this special session, the most important developments and advances in RES were identified.
Keywords
Renewable energy systems; AI; ML; IoT; BigData; Power; Energy
Published Papers
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Open Access
ARTICLE
Bearing Fault Diagnosis Method of Wind Turbine Based on Improved Anti-Noise Residual Shrinkage Network
Xiaolei Li
Energy Engineering, Vol.119, No.2, pp. 665-680, 2022, DOI:10.32604/ee.2022.019292
（This article belongs to this Special Issue:
Advancements in Renewable Energy Systems with AI, Big Data, BlockChain, IoT, and Machine Learning Applications)
Abstract Aiming at the difficulty of rolling bearing fault diagnosis of wind turbine under noise environment, a new bearing fault identification method based on the Improved Anti-noise Residual Shrinkage Network (IADRSN) is proposed. Firstly, the vibration signals of wind turbine rolling bearings were preprocessed to obtain data samples divided into training and test sets. Then, a bearing fault diagnosis model based on the improved anti-noise residual shrinkage network was established. To improve the ability of fault feature extraction of the model, the convolution layer in the deep residual shrinkage network was replaced with a Dense-Net layer. To further improve the anti-noise…
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Open Access
ARTICLE
Investigation of Inverter Temperature Prediction Model in Wind Farm Based on SCADA Data
Qihui Ling, Wei Zhang, Qiancheng Zhao, Juchuan Dai
Energy Engineering, Vol.119, No.1, pp. 287-300, 2022, DOI:10.32604/EE.2022.014718
（This article belongs to this Special Issue:
Advancements in Renewable Energy Systems with AI, Big Data, BlockChain, IoT, and Machine Learning Applications)
Abstract The inverter is one of the key components of wind turbine, and it is a complex circuit composed of a series of components such as a variety of electronic components and power devices. Therefore, it is difficult to accurately identify the operation states of inverter and some problems regarding its own circuit, especially in the early stages of failure. However, if the inverter temperature prediction model can be established, the early states can be identified through the judgment of the output temperature. Accordingly, considering whether the inverter heats up normally from the perspective of heat dissipation, a method for the…
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Open Access
ARTICLE
A Novel Single Switch High Gain DC-DC Converter Topology for Renewable Energy Systems
G. Indira Kishore, M. Premkumar, Ramesh Kumar Tripathi, Chandra Sekhar Nalamati
Energy Engineering, Vol.118, No.2, pp. 199-209, 2021, DOI:10.32604/EE.2021.014079
（This article belongs to this Special Issue:
Advancements in Renewable Energy Systems with AI, Big Data, BlockChain, IoT, and Machine Learning Applications)
Abstract Renewable energy with sources such as photovoltaic (PV) or fuel cells
can be utilized for the generation of electrical power. But these sources generate
fewer voltage values and therefore require high gain converters to match with DC
bus voltage in microgrids. These high gain converters can be implemented with
switched capacitors to meet the required DC bus voltage. Switched capacitors
operate in a series and parallel combination during switching operation and produce high static gain, limits reverse voltage that appears across the components. A
novel converter is proposed that satisfies all the features such as high voltage gain,
only one…
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Open Access
ARTICLE
Design of Nonlinear Uncertainty Controller for Grid-Tied Solar Photovoltaic System Using Sliding Mode Control
D. Menaga, M. Premkumar, R. Sowmya, S. Narasimman
Energy Engineering, Vol.117, No.6, pp. 481-495, 2020, DOI:10.32604/EE.2020.013282
（This article belongs to this Special Issue:
Advancements in Renewable Energy Systems with AI, Big Data, BlockChain, IoT, and Machine Learning Applications)
Abstract The proposed controller accompanies with different sliding surfaces. To
understand maximum power point extraction as opposed to nonlinear uncertainties and unknown disturbance of a grid-connected photovoltaic system to various
control inputs (
ud,
uq) is designed. To extract maximum power from a solar array
and maintain unity power flow in a grid by controlling the voltage across the dclink capacitor (
Vpvdc) and reactive current (
iq). A multiple input-output with multiple uncertainty constraints have considered designing proposed sliding mode controllers to validated their robustness performance. An innovative controller
verifies uncertain inputs, constant and changes in irradiances, and temperature
of the photo-voltaic system.…
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