Next Article in Journal
Inspection System for Vehicle Headlight Defects Based on Convolutional Neural Network
Previous Article in Journal
Image Processing and QR Code Application Method for Construction Safety Management
Previous Article in Special Issue
Implementation of a Demand-Side Management Solution for South Korea’s Demand Response Program
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Special Issue on State-of-the-Art Renewable Energy in Korea

1
Department of Energy IT, Gachon University, Seongnam 13120, Korea
2
Jeju Energy Corporation, Jeju 63219, Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(10), 4401; https://doi.org/10.3390/app11104401
Submission received: 7 May 2021 / Accepted: 8 May 2021 / Published: 12 May 2021
(This article belongs to the Special Issue State-of-the-Art Renewable Energy in Korea)
Nowadays, renewable energy plays an important role in nationwide power systems. We previously dealt with the problem of accepting renewable energy; now we deal with utilizing it. This Special Issue addresses three major aspects of the current trend towards the use of renewable energy in South Korea.
The first aspect is a renewable-based power system, where both main and ancillary supplies are sourced from renewable energies. Ko et al. [1] proposed an incentive model for ESS (energy storage system) utilization in order to reduce the fluctuation of wind power. They applied it to Jeju island which has a very high proportion of renewable energy. Similarly, Lee and Kim [2] proposed an economic model for ESS-based frequency regulation from the electricity market price forecast in Korea. ESS has an advantage in terms of faster response to frequency variation than conventional fossil-fuel generators. Ko et al. [3] developed a demand-side management model using a demand response (DR) aggregator and showed real cases in South Korea. The paper analyzes the economic effect of the DR program.
The second aspect is a distribution network for renewable energy. Kim et al. [4] proposed an optimal operation scheduling model using an energy band in a microgrid. The model operates between a distribution network (DN) and microgrid (MG) while minimizing the cost of the DN and maximizing the profit of MG. A major issue of the DN is a scheme for coordination of the protection relays needed for fault currents. The model proposed by Wadood et al. [5] minimizes the total operating time of all relays to prevent excessive interruptions.
The final aspect is a nano grid network technology. Lee [6] and Shin and Geem [7] show examples of a house while Park and del Pobil [8] show a building. This is a meaningful and timely approach with respect to an ESG (Environment, Social, Governance) trend.
The papers compiled in this special issue do not suggest that the increase in renewable energy is simply the replacement of fossil energy. Renewable energy requires many innovations over existing power infrastructure and regulation. These articles show the changing trend in various sectors in Korea.

Acknowledgments

We thank all the authors, reviewers, and staffs (especially Nicole Lian) for their contributions to this special issue.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ko, W.; Lee, J.; Kim, J. The Effect of a Renewable Energy Certificate Incentive on Mitigating Wind Power Fluctuations: A Case Study of Jeju Island. Appl. Sci. 2019, 9, 1647. [Google Scholar] [CrossRef] [Green Version]
  2. Lee, E.; Kim, J. Assessing the Benefits of Battery Energy Storage Systems for Frequency Regulation, Based on Electricity Market Price Forecasting. Appl. Sci. 2019, 9, 2147. [Google Scholar] [CrossRef] [Green Version]
  3. Ko, W.; Vettikalladi, H.; Song, S.-H.; Choi, H.-J. Implementation of a Demand-Side Management Solution for South Korea’s Demand Response Program. Appl. Sci. 2020, 10, 1751. [Google Scholar] [CrossRef] [Green Version]
  4. Kim, H.-Y.; Kim, M.-K.; Kim, H.-J. Optimal Operational Scheduling of Distribution Network with Microgrid via Bi-Level Optimization Model with Energy Band. Appl. Sci. 2019, 9, 4219. [Google Scholar] [CrossRef] [Green Version]
  5. Wadood, A.; Gholami Farkoush, S.; Khurshaid, T.; Kim, C.-H.; Yu, J.; Geem, Z.W.; Rhee, S.-B. An Optimized Protection Coordination Scheme for the Optimal Coordination of Overcurrent Relays Using a Nature-Inspired Root Tree Algorithm. Appl. Sci. 2018, 8, 1664. [Google Scholar] [CrossRef] [Green Version]
  6. Lee, H.-K. Designing a Waterless Toilet Prototype for Reusable Energy Using a User-Centered Approach and Interviews. Appl. Sci. 2019, 9, 919. [Google Scholar] [CrossRef] [Green Version]
  7. Shin, H.; Geem, Z.W. Optimal Design of a Residential Photovoltaic Renewable System in South Korea. Appl. Sci. 2019, 9, 1138. [Google Scholar] [CrossRef] [Green Version]
  8. Park, E.; Del Pobil, A.P. Eco-Friendly Education Facilities: The Case of a Public Education Building in South Korea. Appl. Sci. 2018, 8, 1733. [Google Scholar] [CrossRef] [Green Version]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Geem, Z.W.; Hong, J.; Hwang, W. Special Issue on State-of-the-Art Renewable Energy in Korea. Appl. Sci. 2021, 11, 4401. https://doi.org/10.3390/app11104401

AMA Style

Geem ZW, Hong J, Hwang W. Special Issue on State-of-the-Art Renewable Energy in Korea. Applied Sciences. 2021; 11(10):4401. https://doi.org/10.3390/app11104401

Chicago/Turabian Style

Geem, Zong Woo, Junhee Hong, and Woohyun Hwang. 2021. "Special Issue on State-of-the-Art Renewable Energy in Korea" Applied Sciences 11, no. 10: 4401. https://doi.org/10.3390/app11104401

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop