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Advanced Wind & Solar Power Generation and Sector-Coupling Solutions for Renewable Energy Curtailment

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A3: Wind, Wave and Tidal Energy".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 4397

Special Issue Editor


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Guest Editor
Sustainable Technology and Wellness R&D Group/Jeju Division, Korea Institute of Industrial Technology (KITECH), Cheonan-si, Korea
Interests: hydrogen production by wind&solar energy; power-to-heat technology; power-to-gas technology; high efficient heat pump; solar energy-powerd air-condinting; thermal energy storage; concentrated photovoltaics and applicastions; solar lighting; water treatment and desalination

Special Issue Information

Dear Colleagues,

Globally, countries are committed to facilitating the energy transition in order to achieve a more secure, cost-effective, low-carbon, and sustainable future. The power sector is leading the ongoing energy transition, driven by the rapid decline in renewable electricity costs, particularly for wind and solar generation. However, the rapid deployment of renewable energy has been causing various serious issues, such as renewable energy curtailment, unstable electricity grids, and blackouts. Therefore, the development of advanced wind and solar power generation technology is still essential to increase the grid flexibility and increase the share of renewable energy in the energy matrix. Therefore, advanced wind and solar power generation technology is required to increase the grid flexibility and increase the share of renewable energy in the energy matrix. In particular, the renewable-energy-based sector-coupling solution is one of the critical technologies that can reduce both curtailment and network congestion by smartly shifting the load.

This Special Issue focuses on state-of-the-art wind and solar power generation technologies and sector-coupling solutions for use in renewable energy curtailment. The scope of this Special Issue will include (but will not be limited to) the following aspects:

  • Advanced wind and solar energy technology and O&M;
  • Sector-coupling solutions such as power-to-gas (P2G), power-to-heat (P2H), power-to-mobility (P2M), and other energy transformation techniques (P2X);
  • Energy storage systems (ESS) and energy management systems (EMS);
  • Zero-energy building technology;
  • AI-based renewable energy systems;
  • Thermal energy storage and thermal management;
  • Li-ion batteries and solid-state batteries;
  • Advanced renewable energy technology;
  • Electric vehicles and sustainable transportation systems.

Dr. Seung Jin Oh
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • advanced wind and solar energy technology and O&M
  • sector-coupling solutions such as power-to-gas (P2G), power-to-heat (P2H), power-to-mobility (P2M), and other energy conversion techniques (P2X)
  • energy storage systems (ESS) and energy management systems (EMS)
  • zero-energy building technology
  • AI-based renewable energy systems
  • thermal energy storage and thermal management
  • Li-ion batteries and solid-state batteries
  • advanced renewable energy technology
  • electric vehicles and sustainable transportation systems

Published Papers (3 papers)

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Research

14 pages, 6408 KiB  
Article
Identifying the Photometric Characteristics and Applicability of Hybrid Solar Lighting
by Hyun-Joo Han, Muhammad Uzair Mehmood, Jin-Chul Park, Joo-Won Lee, Sang-Hoon Lim and Seung-Jin Oh
Energies 2022, 15(22), 8356; https://doi.org/10.3390/en15228356 - 09 Nov 2022
Cited by 1 | Viewed by 1466
Abstract
The present research aims at promoting the stability and applicability of a hybrid daylighting system combining daylight and artificial light, which eventually enables a constant and pleasant luminous flux of the mixed light delivered by a terminal device installed indoors. That is, the [...] Read more.
The present research aims at promoting the stability and applicability of a hybrid daylighting system combining daylight and artificial light, which eventually enables a constant and pleasant luminous flux of the mixed light delivered by a terminal device installed indoors. That is, the present system allows a constant amount of luminous flux through its terminal device similar to an electric lamp, demonstrating its energy efficiency as well as comfortableness. The system effectively combines two different types of light, as solar rays are collected by a solar tracking sun light collector. The mixed light is transmitted indoors by optical fiber cables all the way to terminal devices installed indoors and discharged as needed. This feature enables the utilization of daylight to its full capacity, promoting solar availability. In this study, the photometry of hybrid lighting was experimentally measured and analyzed by using a spectrometer for different portions of sunlight when maintaining a constant luminous flux of mixed light. The effectiveness of hybrid lighting was explored for a number of cases in actual conditions, and the system was capable of delivering a constant illuminance of 1200 lux on a plane located 1.1 m away from the terminal device (light emitter). Finally, the system was installed in a test cell to verify its effectiveness for indoor illumination. Full article
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13 pages, 4949 KiB  
Article
An Early Fault Diagnosis Method for Ball Bearings of Electric Vehicles Based on Integrated Subband Averaging and Enhanced Kurtogram Method
by Woojoong Kim, Munsu Lee, Sang-Jun Park, Sung-Hyun Jang, Byeong-Su Kang, Namjin Kim and Young-Sun Hong
Energies 2022, 15(15), 5510; https://doi.org/10.3390/en15155510 - 29 Jul 2022
Cited by 1 | Viewed by 1157
Abstract
Faults of mechanical transmission systems generally occur in the rotating bearing part at high speeds, which causes problems such as performance degradation of transmission, generation of noise or vibration, and additional damage to connected adjacent systems. In this way, faults cause adverse effects [...] Read more.
Faults of mechanical transmission systems generally occur in the rotating bearing part at high speeds, which causes problems such as performance degradation of transmission, generation of noise or vibration, and additional damage to connected adjacent systems. In this way, faults cause adverse effects to the entire system, such as deterioration and damage. The early detection and correction of bearing problems allows for improved system safety and the reduction of maintenance costs, resulting in efficient system operation. As a result, a variety of methods have been developed by many researchers in order to diagnose bearing mechanical defects, and one of the most representative methods is applying various signal processing techniques to vibration data. Wavelet packet transform (WPT) and kurtogram were used in this study to identify the frequency band that contained the fault component, and the enhanced kurtogram technique was used to analyze the fault. A technique for minimizing the effect of intermittent abnormal peak components caused by noise and external influences has been presented using sub-band averaging to detect early fault frequency component detection and fault development. Using the technique proposed in this study, the state of the bearing based on the degree of fault was evaluated quantitatively, and it was demonstrated experimentally that the bearing fault frequency could be detected at an early stage by the filtered data. In a situation where it is difficult to accept all the detailed design specifications and operating conditions of the complex mechanical systems at industrial sites, determining the degree of fault with simple time-series data and detecting fault components at an early stage is a practical analysis technique for fault diagnosis in the industrial field using various rotating bodies. Full article
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11 pages, 3640 KiB  
Article
Development of a Fault-Diagnosis System through the Power Conversion Module of an Electric Vehicle Fast Charger
by Sang-Jun Park, Woo-Joong Kim, Byeong-Su Kang, Sung-Hyun Jang, Yeong-Jun Choi and Young-Sun Hong
Energies 2022, 15(14), 5056; https://doi.org/10.3390/en15145056 - 11 Jul 2022
Cited by 1 | Viewed by 1370
Abstract
The supply of electric vehicles (EVs), charging infrastructure, and the demand for chargers are rapidly increasing owing to global low-carbon and eco-friendly policies. As the maintenance of charging infrastructure varies depending on the manufacturer, fault detection and maintenance cannot be conducted promptly. Consequently, [...] Read more.
The supply of electric vehicles (EVs), charging infrastructure, and the demand for chargers are rapidly increasing owing to global low-carbon and eco-friendly policies. As the maintenance of charging infrastructure varies depending on the manufacturer, fault detection and maintenance cannot be conducted promptly. Consequently, user inconvenience increases and becomes an obstacle to EV distribution. Recognizing charger failure after occurrence is a management method that is not economically effective in terms of follow-up. In this study, a data collection system was developed to diagnose EV fast-charger failure remotely in advance. The power module failure-prediction and management system consists of an AC sensor, DC sensor, temperature and humidity sensor, communication board, and data processing device. Furthermore, it was installed inside the fast charger. Four AC inputs, four DC outputs, and temperature and humidity data were collected for 12 months. Using the collected data, the power conversion efficiency was calculated and the power module status was diagnosed. In addition, a multilayer perceptron neural network was used as an algorithm for training the classification model. Charging patterns according to normal and failure were trained and verified. Based on results, the pre-failure diagnosis system demonstrated an accuracy of 97.2%. Full article
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