TY - JOUR
T1 - A Study on Practical Generation Resource Mix Using the Enhanced Screening Curve Method
AU - Lee, Yebin
AU - Hur, Jin
N1 - Funding Information:
This work was supported by the Korea Electric Power Corporation (No. R21XO01-1) and this work was supported by Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government (MOTIE)(2019371010006B, Development of core stabilizing technology for renewable power management system).
Publisher Copyright:
© The Korean Institute of Electrical Engineers This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
PY - 2021/12
Y1 - 2021/12
N2 - Mitigation strategies for climate change will require the reduced use of fossil fuels to generate electricity and replacement of these fuels with renewable generating resources. The screening curve and load duration curve were used to determine the optimal generation resource mix with renewable generating resources. In this paper, practical generation mix simulation was performed by applying screening curve method (SCM) including start-up effect to the National Renewable Energy Laboratory-118 (NREL-118). The applied SCM reflects the short-term operational impact of renewable energy and maintains its simplicity while increasing the accuracy of the optimal generation resource mix solution. In future, the elaborated SCM can be developed by considering other operational constraints such as ramp rate, minimum stable level, and heat rate.
AB - Mitigation strategies for climate change will require the reduced use of fossil fuels to generate electricity and replacement of these fuels with renewable generating resources. The screening curve and load duration curve were used to determine the optimal generation resource mix with renewable generating resources. In this paper, practical generation mix simulation was performed by applying screening curve method (SCM) including start-up effect to the National Renewable Energy Laboratory-118 (NREL-118). The applied SCM reflects the short-term operational impact of renewable energy and maintains its simplicity while increasing the accuracy of the optimal generation resource mix solution. In future, the elaborated SCM can be developed by considering other operational constraints such as ramp rate, minimum stable level, and heat rate.
KW - Cost-minimization
KW - Enhanced screening curve method
KW - Generation resource mix
KW - Long-term electricity supply and demand solution
KW - Renewable generating resources
UR - http://www.scopus.com/inward/record.url?scp=85122584430&partnerID=8YFLogxK
U2 - 10.5370/KIEE.2021.70.12.1799
DO - 10.5370/KIEE.2021.70.12.1799
M3 - Article
AN - SCOPUS:85122584430
SN - 1975-8359
VL - 70
SP - 1799
EP - 1805
JO - Transactions of the Korean Institute of Electrical Engineers
JF - Transactions of the Korean Institute of Electrical Engineers
IS - 12
ER -
