• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.25 no.8
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• pp.1-7
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• 2011

Recently, all-electric house technology became one of the green growth technologies and is integrated with various areas such as electricity, machinery, architecture, material, and etc. Fossil fuel energy is used for heating and hot water supply in the conventional houses but electricity is adopted in the new conceptual houses to maximize advantages of electricity such as amenity, safety, cleanness, and so on. In this paper, an economic analysis is carried out when LED lightings are adopted using the California Standard Practice Test which has been used to estimate the effects of existing DSM (Demand Side Management) programs. The results are able to contribute to the diffusion of all-electric houses and the establishment of basic data and planning for DSM policies.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.2
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• pp.211-216
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• 2014

Construction of power plants and T&D facilities is so difficult because of the civil complaints and the additional cost according to the concerning field conditions. Therefore, various researches and methods have been considered to get solutions in the demand side and energy storage systems have been in the spotlight because of the various functions such as peak shaving, load shifting, and power system stabilizing, and so on. Residential small size batteries are considered in this paper and the economic analysis is carried out to evaluate the reasonable subsidy levels for the deployment of energy storage systems. Various economic parties are considered to find reasonable subsidy level comparing each other, which parties consist of utilities, participants and non-participants in general. The evaluation is based on California Standard Practice Test and the results are able to be used as subsidy guidelines.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.3
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• pp.369-374
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• 2008

This paper presents the evaluation procedures and the estimation method for the estimation of optimal rebate level for EE(Energy Efficiency) programs. The penetration amount of each appliance is estimated by applying price function to preferred diffusion model resulted from model compatibility test. To estimate the optimal rebate level, two objective functions which express the maximum energy saving and operation benefit are introduced and by multi-objective function which can simultaneously consider two objective functions the optimal rebate level of each appliance is estimated. And then, using the decided rebate level and each penetration amount, the priority order for reasonable investment of each high-efficiency appliance is estimated compared to the results of conventional method. Finally, using a benefit/cost analysis based on California standard practice manual, the economic analysis is implemented for the four perspectives such as participant, ratepayer impact measure, program administrator cost and total resource cost.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.539-540
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• 2015

지구환경 파괴의 주범인 온실가스 감축을 위해 기후변화 협약을 통한 각종 규제와 탄소세가 등장하였다. 이러한 탄소세는 국가입장에서 큰 부담이 되기 때문에 탄소세를 줄이기 위한 대안 중 하나로 신재생에너지가 장려되고 있다.이러한 신재생에너지가 핵심인 Microgrid는 설비비가 비싸기 때문에 지원금을 지급해줘야 보급이 가능하다. 따라서 본 논문에서는 국가적 차원에서 기존의 캘리포니아 테스트 방법을 변형한 새로운 방법으로 탄소세를 고려한 적정 지원금 범위를 산정하는 방법론을 제안한다. 사례연구는 필리핀 도서지역을 대상으로 HOMER 프로그램을 사용하여 수행한다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.4
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• pp.8-15
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• 2009

In this paper, a new demand-side evaluation for the technical potential of lighting dimming control and its applications in electricity markets have been presented. The California standard practice test has been widely used to estimate the economic value of demand-side resources. However, as the advent of deregulation and restructuring of power industry, the California test has been facing some limitations to adopt in the new market environments. In particular the conventional DC test is appropriate for the traditional vertically integrated utility, not for the restructured unbundled utility. Thus, this paper presents a new method to evaluate the economic value of demand-side resource, especially of controllable lighting dimming resource in terms of the energy service provider in market environments. We, therefore, first estimate the technical potential of the lighting dimming control and evaluate the value of the lighting dimming control based on the Korean electricity market data in 2006. The study result shows that the lighting dimming control is a cost effective option for the energy service provider.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.2
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• pp.264-268
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• 2016

Recently, various energy efficiency optimization activities are ongoing globally by integrating conventional grids with ICT (Information and Communication Technology). In this sense, various smart grid projects, which power suppliers and consumers exchange useful informations bilaterally in real time, have been being carried out. The electric vehicle diffusion program is one of the projects and it has been spotlighted because it could resolve green gas problem, fuel economy and tightening environmental regulations. In this paper, the economics of V2G system which consists of electric vehicles and the charging infrastructure is evaluated comparing electric vehicles for V2G with common electric vehicles. Additional benefits of V2G are analyzed in the viewpoint of load leveling, frequency regulation and operation reserve. To find this benefit, electricity sales is modeled mathematically considering depth of discharge, maximum capacity reduction, etc. Benefit and cost analysis methods with the modeling are proposed to decide whether the introduction of V2G systems. Additionally, the methods will contribute to derive the future production and the unit cost of electric vehicle and battery and to get the technical and economic analysis.

• Journal of Energy Engineering
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• v.14 no.1
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• pp.46-53
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• 2005

This paper presents a new approach for determining an accurate incentive levels of Direct Load Control (DLC) program using probabilistic techniques. The economic analysis of DLC resources needs to identify the hourly-by-hourly expected energy-not-served resulting from the random outage characteristics of generators as well as to reflect the availability and duration of DLC resources, which results the computational explosion. Therefore, the conventional methods are based on the scenario approaches to reduce the computation time as well as to avoid the complexity of economic studies. In this paper, we have developed a new technique based on the sequential Monte Carlo simulation to evaluate the required expected load control amount in each hour and to decide the incentive level satisfying the economic constraints. In addition, we have applied the variance reduction technique to enhance the efficiency of the simulation. To show the efficiency and effectiveness of the suggested method, the numerical studies have been performed for the modified IEEE 24-bus reliability test system.