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- 저자 : Taekyung Hahn (검색결과 5 건)
- 무료
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Design of Time-Varying Rate Considering CO<tex> $_2$</tex> Emission
Taekyung Hahn,Zhungfu Tan,Wonsuk Ko IEEE 2013 IEEE transactions on smart grid Vol.4 No.1
<P>Under fixed retail rates, electricity demands have no incentive to change their usage pattern. In contrast, under time-varying rates, suppliers can reflect the actual supply cost during the peak hours in retail prices enabling end-users to respond to the prices and reduce their loads or shift their loads from the high-price hours to the low-price hours. Load shifting may increase the reliability of the system, but may increase CO<SUB>2</SUB> emission if coal-fired generators are the marginal generator used during the low- price hours. CO<SUB>2</SUB> emission taxation is one of ISO's options to deal with the CO<SUB>2</SUB> emission problem. In this paper, a new time-varying rate design method considering the CO<SUB>2</SUB> emission taxation is suggested. In addition, market power problem and non-shifting elastic loads are considered. The suggested method is applied to a test market with critical peak pricing (CPP) and real-time pricing (RTP) and the results are analyzed. Also the suggested method is applied to the Korean power system and the results are analyzed.</P>
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Jung, Ho Sang,Lee, Taekyung,Kwon, Il Keun,Kim, Hyoung Seop,Hahn, Sei Kwang,Lee, Chong Soo American Chemical Society 2015 ACS APPLIED MATERIALS & INTERFACES Vol.7 No.18
<P>Titanium (Ti) and its alloys with a high mechanical strength and a small diameter can be effectively exploited for minimally invasive dental implantation. Here, we report a multipass caliber-rolled Ti alloy of Ti13Nb13Zr (MPCR-TNZ) with a high mechanical strength and strong fatigue characteristics. For further dental applications, MPCR-TNZ was surface-modified with reduced graphene oxide (RGO) and loaded with osteogenic dexamethasone (Dex) via π–π stacking on the graphitic domain of RGO. The Dex-loaded RGO-MPCR-TNZ (Dex/RGO-MPCR-TNZ) resulted in significantly enhanced growth and differentiation of MC3T3-E1 cells into osteoblasts, which was confirmed by Alizarin red staining, alkaline phosphatase activity test, immunocytochemistry, and real-time PCR. Moreover, we could confirm the feasibility of Dex/RGO-MPCR-TNZ from the implantation test of a prototype of a dental implant to an artificial bone block for clinical dental applications.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/aamick/2015/aamick.2015.7.issue-18/acsami.5b03431/production/images/medium/am-2015-03431t_0006.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/am5b03431'>ACS Electronic Supporting Info</A></P>
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수요자원 운영특성을 고려한 피크감축효과 산정 알고리즘 연구
이승미(Seungmi Lee),김진호(Jinho Kim),한태경(Taekyung Hahn) 한국경영과학회 2018 한국경영과학회 학술대회논문집 Vol.2018 No.04
Demand Response(DR) resource is considered a high potential resource to meet the increasing demand for electricity in line with key keywords such as nuclear power plants, fine dust, and sustainable energy, which are important issues in the energy sector in recent years. Currently, DR market has been steadily increasing resource capacity and payments for demand resources until recently until three years after its establishment, but the utilization of demand resources for annual peak reduction is less effective. Furthermore, there is no optimal operation algorithm for determining the object of demand resource and DR capacity when peak reduction DR events occur. In this paper, we developed an algorithm that can calculate the annual peak reduction effect considering the operational characteristics of demand resources so that the demand resources can be utilized at a meaningful level. In addition, GAMS is used as a program to simulate optimal operation algorithm of peak reduction DR, and related departments that operate the demand market can use it as a reference for market operation.
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수요자원 운영특성을 고려한 피크감축효과 산정 알고리즘 연구
이승미(Seungmi Lee),김진호(Jinho Kim),한태경(Taekyung Hahn) 대한산업공학회 2018 대한산업공학회 춘계학술대회논문집 Vol.2018 No.4
Demand Response(DR) resource is considered a high potential resource to meet the increasing demand for electricity in line with key keywords such as nuclear power plants, fine dust, and sustainable energy, which are important issues in the energy sector in recent years. Currently, DR market has been steadily increasing resource capacity and payments for demand resources until recently until three years after its establishment, but the utilization of demand resources for annual peak reduction is less effective. Furthermore, there is no optimal operation algorithm for determining the object of demand resource and DR capacity when peak reduction DR events occur. In this paper, we developed an algorithm that can calculate the annual peak reduction effect considering the operational characteristics of demand resources so that the demand resources can be utilized at a meaningful level. In addition, GAMS is used as a program to simulate optimal operation algorithm of peak reduction DR, and related departments that operate the demand market can use it as a reference for market operation.
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