• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.824-827
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• 2011

Needs for Smart Grid development are increasing all over the world as a solution to its problem according to depletion of energy resources, climatic and environmental rapidly change and growing demand for electrical power. Especially decentralized power is attracting world's attention. In this mood a new era for a unit scale of decentralized power environment is on its way in building. However there is a problem to have to be solved in the uniformity of power quality because the amount of power generated from renewable energy resources such as wind power and solar light is very sensitive to climate fluctuation. And thus this paper tries to suggest an energy management algorithm on basis of real time monitoring for meteorological data. The proposed EMS model embodies the method for predicting the power generation by monitoring and analyzing the climatic data and controling the efficient power distribution between the renewable energy and the existing power. The ultimate goal of this paper is to provide the technological basis for achieving zero-energy house.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.3
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• pp.273-281
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• 2019

The energy consumed by buildings among the total national energy consumption is more than 10% of the total. For this reason, Korea has adopted the zero energy building policy since 2025, and research on the energy saving technology of buildings has been demanded. Analysis of buildings' energy consumption patterns shows that lighting, heating and cooling energy account for more than 60% of total energy consumption, which is directly related to solar power acquisition and window opening and closing operation. In this paper, we have developed a low - power IoT sensor module for window system to transfer acquired information to building energy management system. This module transmits the external environment and window opening / closing status information to the building energy management system in real time, and constructs the network to actively take energy saving measures. The power used in the module is designed as an independent power source using solar power among the harvest energy. The topology of the power supply is a Buck converter, which is charged at 4V to the lithium ion battery through MPPT control, and the efficiency is about 85.87%. Communication is configured to be able to transmit in real time by applying WiFi. In order to reduce the power consumption of the module, we analyzed the hardware and software aspects and implemented a low power IoT sensor module.

• Journal of Environmental Impact Assessment
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• v.26 no.6
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• pp.479-494
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• 2017

After Fukushima incident, negative sentiment towards nuclear power has led to transition in policies that reduce the dependency on nuclear power in some countries. President Moon of Republic of Korea also announced a national plan of decommissioning retired nuclear power plants stage by stage. Therefore, nuclear power that once was considered the critical solution to energy security and climate change is now a limited option. This study aims to find an optimal energy mix in Korea's electricity system from 2016 through 2030 to combat climate change through energy transition with minimum cost. The study is divided into two different scenarios; energy transition and nuclear sustenance, to compare the total costs of the systems. Both scenarios show that electricity generated by wind technology increases from 2018 whereas that of photovoltaic(PV) increases from 2021. However, the total cost of the energy transition scenario was USD 4.7 billion more expensive than the nuclear sustenance scenario.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.19-25
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• 2019

The CleanSYS(Clean SYStem) is operated to monitor air pollutants emitted from specific industrial complexes in Korea. So the industrial complexes without the system are directly monitored by the control officers. For efficient monitoring, studies using various sensors have been conducted to monitor air pollutants emitted from industrial complex. In this study, hyperspectral sensors were used to model and verify the equations for estimating the concentration of $NO_2$(nitrogen dioxide) in air pollutants emitted. For development of the equations, spectral radiance were observed for $NO_2$ at various concentrations with different SZA(Solar Zenith Angle), VZA(Viewing Zenith Angle), and RAA(Relative Azimuth Angle). From the observed spectral radiance, the calculated value of the difference between the values of the specific wavelengths was taken as an absorption depth, and the equations were developed using the relationship between the depth and the $NO_2$ concentration. The spectral radiance mixed gas of $NO_2$ and $SO_2$(sulfur dioxide) was used to verify the equations. As a result, the $R^2$(coefficient of determination) and RMSE(Root Mean Square Error) were different from 0.71~0.88 and 72~23 ppm according to the form of the equation, and $R^2$ of the exponential form was the highest among the equations. Depending on the type of the equations, the accuracy of the estimated concentration with varying concentrations is not constant. However, if the equations are advanced in the future, hyperspectral sensors can be used to monitor the $NO_2$ emitted from the industrial complex.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.151.2-151.2
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• 2010

우리나라는 "제 3차 신재생에너지 기술개발 및 이용 보급 기본계획"을 통해 2030년까지 111.5조 원을 투자하여 전체 에너지의 11%를 신재생에너지로 공급한다는 목표를 설정하였다. 그러나 신재생에너지는 기존의 원자력이나 화석에너지에 비하여 생산비용이 높아 보조나 융자 등의 정부지원에 의존하여 보급이 이루어져왔다. 신재생에너지 보급확대 및 산업발전을 위한 보급정책의 일환으로 정부는 2012년부터 RPS(Renewable Portfolio Standard, 신재생에너지 공급의 무화제도)를 도입키로 확정하였다. RPS의 도입은 일정규모 신재생에너지 시장수요를 창출함과 동시에 신재생에너지원간 가격경쟁 구도 형성의 유인이 될 수 있다. 이는 전력가격 일괄상승 및 녹색가격제도(Green Pricing) 등의 정책적 논의로 이어질 수 있다. 따라서 소비자 측면에서 신재생에너지 전력의 가치를 어떻게 평가하는지를 분석하여 RPS 시행제반의 정책적 논의의 기초자료를 마련할 필요가 있다. 특히 RPS는 신재생에너지원 간의 경쟁을 가능하게 하므로 개별 신재생에너지원에 따라 소비자 선호의 차이가 어떻게 나타나는지 연구되어야 한다. 이에 본 연구는 환경재 혹은 비시장재화의 가치추정에 가장 널리 활용되고 있는 조건부가치평가법(Contingent Valuation Method; CVM)을 적용하여 풍력, 태양광, 수력으로 생산한 전력에 대한 소비자의 지불의사액(Willingness to Pay; WTP)을 분석하는 모형을 수립하였다. 이를 위해 Zografakis et al.(2010), Yoo and Kwak(2009), 이창훈 황석준(2009), Nomura and Akai(2004), Bately et al.(2001) 등의 선행연구를 참조하여 신재생에너지 전력 가치의 설문에서 고려되어야 하는 요인들을 선정하였다. 이를 토대로 설문 시나리오를 작성하여 각 요인들이 신재생에너지 전력에 대한 지불의사액 결정에 어떠한 영향을 미치는지 분석가능한 모형을 설정하였다. 뿐만 아니라 기존 연구들이 신재생에너지로 생산된 일반적인 전력에 대한 지불의사액을 질문하는데 그쳤다면, 본 연구에서는 각 원별로 지불의사액의 차이를 도출할 수 있는 설문모형을 구축하는데 중점을 두었다. 본 연구결과는 향후 설문수행을 통하여 신재생에너지원별로 소비자의 선호를 분석할 수 있는 연구로 발전될 수 있으며, 이는 RPS 도입으로 인한 전력가격 정책 수립의 기초 연구자료로 활용될 수 있다 하겠다.

• Journal of Energy Engineering
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• v.29 no.3
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• pp.86-90
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• 2020

This paper examines a blockchain network-based transaction system using location proofing in power direct transactions between networked energy clouds, energy communities, and prosumer machines participating in smart cities. It utilizes location-based blockchain network technology, which enables long-distance travel with recharging by power purchases during autonomous movements, autonomous electric vehicles that can purchase and sell electricity, and solar street lights that can be produced and sold in fixed form. In addition, it is possible to provide optimum power transaction matching and settlement reliability between machines without human intervention in power transactions between electric chargers. It also introduces a business-to-object business model between autonomous machines that exist in multiple and different spaces and through energy clouds that are expected to be scattered with various transaction prices, policies, and incentives.

• Environmental and Resource Economics Review
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• v.27 no.2
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• pp.339-362
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• 2018

In this paper, we simulate the contribution of an increasing renewable energy to demands for fossil fuels and power supply price by estimating a cost function for the Korean electric power generation sector. Since the renewable energy is a composite input, it is not feasible to compute the price index for renewable energy due to data limit. We estimate a restricted cost function, which is derived by minimizing the costs of fossil fuels conditional on the quantity of renewable energy set to its optimal level, jointly with supply relation. In particular, derivation of the shadow price of renewable energy would make it possible to analyze potential costs incurred by power plants.

• Environmental and Resource Economics Review
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• v.19 no.1
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• pp.159-198
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• 2010

The Korean government is planning to introduce the Renewable Portfolio Standard (RPS) system to replace the currently used Feed-in-Tariff (FIT) system which is a subsidy-based mechanism to foster the renewable energy industry. The RPS system is a market-oriented system in which the power companies are obliged to use renewable energy sources to produce electricity by a certain ratio of their production level. They can either produce for themselves or simply purchase the REC (renewable energy certificate) in the market to implement. The objective of this article is to compare the RPS system with the current FIT system in terms of the implementing cost to achieve the policy goal to expand the share of renewable energy m the total power generation. The analysis is conducted using Linear Programming models. The results of this study imply several policy suggestions to successfully introduce the RPS system.

• Journal of the Korea Convergence Society
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• v.2 no.2
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• pp.35-45
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• 2011

Recently, with the increasement of the interest about global warming, pollutions, and so on, a number of distributed generations(DGs) such as photovoltaic(PV) and wind power(WP), are interconnected with distribution systems. However, installing of DGs makes power flow changes such as directions, one-direction to bi-direction, and increasing/decreasing of fault current. Therefore, it may cause the critical problems. This paper proposes an evaluation algorithm for bi-directional protection coordination and presents an evaluation system for protection coordination based on this algorithm. Additionally, the result shows that the existing method may cause critical problems, and also the effectiveness of proposed method is verified.

• 한국신재생에너지학회:학술대회논문집
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• 2009.11a
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• pp.301-301
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• 2009

The General program evaluation guide is intended for use by managers of both deployment and R&D programs within the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), although most of the examples of evaluations pertain to deployment programs(EERE,2006). It could help managers determine what kinds of timely adjustments may be needed in program design or implementation to improve the rate or quality of achievement relative to the committed resources. To consider the adaptation of the method in Korea, we have studied the evaluation case for solar america initiative using cost-benefit evaluation. The President's Solar America Initiative (SAI) was launched in January 2006 as part of the administration's Advanced Energy Initiative. The SAI has a goal of installing 5-10 GW of photovoltaic (PV) systems in the U.S. by 2015 and 70-100 GW of PV systems in the U.S. by 2030. The evaluation report presents estimates of the potential benefits should the SAI PV installation goals be achieved. For this analysis, the areas researched include energy, economic, and environmental benefits. As a result, research suggests that 500 MW of PV may have been enough to avoid lackout. The ability of PV to prevent specific blackouts will depend on very specific information on where the PV installations are installed and their ability to relieve pressure on the high stress points on the grid. While this level of detail is outside the scope of this study, it appears that there will be some potential benefit for blackout prevention should the SAI PV goals be achieved.