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Jeon, Wooyoung,Kim, Yeu-Chun,Hong, Minhee,Rejinold, Sanoj,Park, Kyoungmoon,Yoon, Injoong,Yoo, Sungsik,Lee, Hongweon,Ahn, Jungoh Hindawi 2018 BioMed research international Vol.2018 No.-
<P>The study describes the development of a vaccine using microcrystalline cellulose (Avicel PH-101) as a delivery carrier of recombinant protein-based antigen against erysipelas. Recombinant SpaA, surface protective protein, from a gram-positive pathogen<I> Erysipelothrix rhusiopathiae</I> was fused to a cellulose-binding domain (CBD) from<I> Trichoderma harzianum</I> endoglucanase II through a S3N10 peptide. The fusion protein (CBD-SpaA) was expressed in<I> Escherichia coli</I> and was subsequently bound to Avicel PH-101. The antigenicity of CBD-SpaA bound to the Avicel was evaluated by enzyme-linked immunosorbent (ELISA) and confocal laser scanning microscope (CLSM) assays. For the examination of its immunogenicity, groups of mice were immunized with different constructs (soluble CBD-SpaA, Avicel coated with CBD-SpaA, whole bacterin of<I> E. rhusiopathiae</I> (positive control), and PBS (negative control)). In two weeks after immunization, mice were challenged with 1x10<SUP>7</SUP> CFU of<I> E. rhusiopathiae</I> and Avicel coated with CBD-SpaA induced protective immunity in mice. In conclusion, this study demonstrates the feasibility of microcrystalline cellulose as the delivery system of recombinant protein subunit vaccine against<I> E. rhusiopathiae </I>infection in mice.</P>
A Study on Reserve Cost for adoption of VRE: Estimation of ORDC
Wooyoung Jeon(전우영) 한국에너지기후변화학회 2021 한국에너지기후변화학회 학술대회 Vol.2021 No.11
With increasing importance of achieving carbon neutrality, renewable sources are rapidly displacing fossil fuel generation. However, high variability and uncertainty of renewable energy undermine reliability of power supply, so it requires large amount of operating reserves as backup sources. In order to efficiently secure the proper level of reserve resources, it is essential to search the optimal price that reflect marginal social benefit and marginal cost of additional reserve resources by considering the probability and social cost of unstable power supply caused by renewable sources. This study estimates an operating reserve demand curve (ORDC) of Korea for varying penetration levels of renewable sources, which will help to provide foundation for proper value of reserve resources. For methodology, a stochastic form of power system optimization model called MPSOPF is used and stochastic characteristics of solar and wind generation are estimated based on econometric model and considered in the optimization. The result shows that ORDC in 2034 at 3000KRW/MW is 4.4 times higher than ORDC in 2020, which means that ORDC in 2034 is located far right compared to ORDC in 2020 due to massive renewable generation. In addition, it is estimated that under ORDC in 2034, lithium-ion battery, which is one of the most prominent back resources for renewable energy, is economically feasible but it is not under ORDC in 2020, which shows that proper valuation based on social benefit is important to secure reserve resources to socially-optimum level. Korean does not have a reserve market yet, but plan to initiate one by 2024 for efficient energy transition. This study contributes to provide an evidence for proper value and amount of reserve resources needed to efficiently accommodate renewable sources by 2034.
Developing a Smart Grid that Customers can Afford: The Impact of Deferrable Demand
( Wooyoung Jeon ),( Jung Youn Mo ),( Timothy D. Mount ) 한국환경경제학회, 한국자원경제학회 ( 구 한국환경경제학회 ) 2015 한국환경경제학회 학술발표논문집 Vol.2015 No.하계
With more electricity generated from renewable sources, the importance of effective storage capacity is increasing due to its capability to mitigate the inherent variability of these sources, such as wind and solar power. However, the cost of dedicated storage is high and all customers eventually have to pay. Deferrable demand offers an alternative form of storage that is potentially less expensive because the capital cost is shared between providing an energy service and supporting the grid. This paper presents an empirical analysis to illustrate the beneficial effects of Plug-in Hybrid Electric Vehicles (PHEV) and thermal storage on the total system cost using data for a hot summer day in New York City. The analysis shows how customers can reduce total system costs and their bills by 1) shifting load from expensive peak periods to less expensive off-peak periods, 2) reducing the amount of installed conventional generating capacity needed to maintain System Adequacy, and 3) providing ramping services to mitigate the variability of generation from renewable sources. Moreover, this paper demonstrates economic benefits of different types of customers with different deferrable demand capabilities under two bill payment policies, flat price payment and optimum price payment, and it finally shows how long it takes for customers to fully pay back their initial capital costs of PHEV or thermal storage under two different policies.
에너지전환 정책하에 전기차 수요자원의 경제적 가치 분석: 9차 전력수급계획 중심으로
전우영 ( Wooyoung Jeon ),조상민 ( Sangmin Cho ),조일현 ( Ilhyun Cho ) 한국환경경제학회·한국자원경제학회(구 한국환경경제학회) 2021 자원·환경경제연구 Vol.30 No.2
에너지전환 정책의 가속화로 변동성 재생에너지가 가파르게 증가하면서 계통수용비용이 빠르게 상승하고 있다. 변동성 재생에너지 증가는 기존 전통적 발전자원의 이용률을 하락시켜서 전력공급에 비효율성을 가중시키는데 이에 대한 해결책으로 수요자원이 주목받고 있다. 본 연구에서는 수요자원 중 큰 잠재력을 가지고 있는 전기차 수요가 재생발전에 대한 유연성 자원으로 활용될 경우 전력공급비용을 얼마나 경감시킬 수 있는지 9차 전력수급계획을 반영하여 분석하였다. 분석모형으로 재생발전의 확률적 특성을 사실적으로 반영할 수 있는 확률적 전력시스템 최적화 모형을 적용해서 재생에너지가 유발하는 비용과 전기차 수요자원의 편익을 분석하였다. 분석결과 계시별 요금제보다 가상발전소 기반의 직접제어방식이 편익이 더 높고, 발전구성에서 재생에너지의 비중이 높아질수록 편익이 더 높아지는 것으로 나타났다. 전기차 수요자원의 구현비용인 중개사업자 수수료와 배터리마모비용을 고려한 순편익 추정결과, 충방전이 가능한 가상발전소 방식의 경우 월평균 운행비용의 67~85% 수준으로 나타났다. 이러한 수요자원 순편익이 소비자에게 효과적으로 분배되는 요금체계가 적용될 경우 시장참여유인이 높을 것으로 추정된다. As variable renewable sources rapidly increase due to the Energy Transition plan, integration cost of renewable sources to the power system is rising sharply. The increase in variable renewable energy reduces the capacity factor of existing traditional power capacity, and this undermines the efficiency of the overall power supply, and demand resources are drawing attention as a solution. In this study, we analyzed how much electric vehicle demand resouces, which has great potential among other demand resources, can reduce power supply costs if it is used as a flexible resource for renewable generation. As a methodology, a stochastic form of power system optimization model that can effectively reflect the volatile characteristics of renewable generation is used to analyze the cost induced by renewable energy and the benefits offered by electric vehicle demand resources. The result shows that virtual power plant-based direct control method has higher benefits than the time-of-use tariff, and the higher the proportion of renewable energy is in the power system, the higher the benefits of electric vehicle demand resources are. The net benefit after considering commission fee for aggregators and battery wear-and-tear costs was estimated as 67% to 85% of monthly average fuel cost under virtual power plant with V2G capability, and this shows that a sufficient incentive for market participation can be offered when a rate system is applied in which these net benefits of demand resources are effectively distributed to consumers.