• 조명전기설비학회논문지
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• 제24권8호
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• pp.8-14
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• 2010

본 논문에서는, 제주지역 전력계통에 설치되는 배터리 저장장치의 최적용량을 산정하였다. 본 논문에서 검토한 내용은, 제주지역의 '06~'07년도 실제 전력사용데이터를 바탕으로 '06~'16년도까지의 전력사용량을 추정한 후, 4차 전력수급계획에 따른 전력설비 증감계획데이터를 사용, 최대전력저감, 전력량 요금저감, 정전발생비용저감, 3가지 측면에서 배터리 저장장치의 용량별 얻을 수 있는 이득을 계산하고, 최적용량을 제시하였다.

• 전기학회논문지
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• 제59권7호
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• pp.1232-1236
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• 2010

In this Paper, optimal capacity of energy storage and amount of $CO_2$ reduction in Jeju is calculated. Based on electricity demand data of Je-Ju from 2006 to 2007, the estimation electricity demand from 2009 to 2018 is performed. To calculate the amount of maximum $CO_2$ reduction and energy storage capacity in Jeju, the 4th power supply planning and IPCC guideline are used. Finally, Optimal capacity of energy storage and the amount of $CO_2$ reduction are showed.

• 제어로봇시스템학회논문지
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• 제8권11호
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• pp.948-953
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• 2002

The electric power load during the peak time in summer is strongly affected by cooling load, which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice-storage system and heat pump system are possible solutions to settle this problem. In this study. the method of estimating temperature and humidity to forecast the cooling load of ice-storage system is suggested, then the method of forecasting the cooling load using fuzzy logic is suggested by simulating that the cooling load is calculated using actual temperature and humidity. The forecast of the temperature, humidity and cooling load are simulated, and it is shown that the forecasted data approach to the actual data. Operating the ice-storage system by the forecast of cooling load with night electric power will improve the ice-storage system efficiency and reduce the peak electric power load during the summer season as a result.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제3권9호
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• pp.273-278
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• 2014

최근 전력의 수요공급 불균형으로 전력사용 피크시간대의 전력사용 강제 제한이 불가피하다. 따라서, 본 논문에서는, 피크전력이 발생하지 않는 시간대의 전기를 저장하고 전력부족이 예상되는 피크전력 시간대에는 저장전력을 공급하는 병렬운전 기기의 회로를 설계하는데 있다. 이 회로설계를 통하여, PRS의 핵심기능인 상용전원과 인버터 발생전원의 병렬연결 운용으로, 상용전원의 피크치 전력을 조절할 수 있었다. 또한 효율을 높이기 위하여 Transless Power Circuit DC-AC 인버터를 개발하였다. 더 나아가, 가변임피던스 제어를 적용하여 무정전 전원장치의 저장전력을 상용전원과 연계함으로써, 기존의 무정전 전원장치에서 구현을 못하고 있는 저장전력 사용시간을 획기적으로 늘릴 수 있는 기술구현 가능성을 입증하였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.269-283
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• 2021

The government policies and initiatives to guarantee sustainable energy and clean environmental conditions contributed to the introduction of green technology electricity appliances in the market. This study sought to determine the physiological and socio-economics-demographic factors driving residential electricity consumers to use green technology electricity appliances, mainly solar PV, smart meter, electric vehicle, and battery storage technology. By understanding consumer intention, the investors of solar PV, battery storage, electric vehicle, and smart meter can estimate the demand and upscale the market for the corresponding products. For that purpose, the intention to use the solar PV, smart meter, electric vehicle, and battery storage function is developed by utilizing the combination of the theory of planned behavior, technology acceptance, and reasoning action. A reliable and valid structured online questionnaire and stepwise multiple regression are used to identify the possible factors that drive consumer behavior intention. The results show that the social influence, knowledge on RE, and perceived price significantly influence residential consumers' willingness to adopt the technologies offered. The findings of this study suggest that the involvement of NGOs, public figures, and citizens' cooperation are all necessary to spread information about the government's objectives and support Malaysia's present energy and environmental policies.

• 적정기술학회지
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• 제5권1호
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• pp.33-37
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• 2019

One of main problems in developing electricity grid for archipelago country like Indonesia is the geographical concerns as it consists of many islands. In some rural areas, electricity has not been available yet due to the limited infrastructure access, leading to high investment cost. In this study, a portable energy storage system based on the lithium-ion batteries called Tabung Listrik or TaLis (DC-based power bank) and DC house system were proposed as the solution for providing electricity for rural areas with relatively lower cost. TaLis is designed to be portable so it is easy to carry around as well as it can be used for many purposes. Since 2017, TaLis prototype has been used as the energy storage in a DC house system at Sekolah Master Indonesia, where an array of PV rooftop is functioned as the main DC power supply. Besides, some TaLis were also dispatched for emergency response during the disaster situations in Indonesia, such as during the measles outbreak in Asmat-Papua, the earthquake disaster in Lombok and tsunami in Palu.

• ETRI Journal
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• 제45권4호
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• pp.636-649
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• 2023

Renewable energy generation cannot be consistently predicted or controlled. Therefore, it is currently not widely used in the electricity market, which requires dependable production. In this study, reliability- and variance-based controls of energy storage strategies are proposed to utilize renewable energy as a steady contributor to the electricity market. For reliability-based control, photovoltaic (PV) generation is assumed to be registered in the power generation plan. PV generation yields a reliable output using energy storage units to compensate for PV prediction errors. We also propose a runtime state-ofcharge management method for sustainable operations. With variance-based controls, changes in rapid power generation are limited through ramp rate control. This study introduces new reliability and variance indices as indicators for evaluating these strategies. The reliability index quantifies the degree to which the actual generation realizes the plan, and the variance index quantifies the degree of power change. The two strategies are verified based on simulations and experiments. The reliability index improved by 3.1 times on average over 21 days at a real power plant.

• Nuclear Engineering and Technology
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• 제54권8호
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• pp.2883-2897
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• 2022

According to the Renewable Energy 3020 Implementation Plan announced in 2017 by the South Korean government, the electricity share of renewable energy will be expanded to 20% of the total electricity generation by 2030. Given the intermittency of electricity generation from renewable energy, realization of such a plan presents challenges to managing South Korea's isolated national electric grid and implies potentially large excess electricity generation in certain situations. The purpose of this study is: 1) to develop a model to accurately simulate the effects of excess electricity generation from renewables which would arise during the transition, and 2) to propose strategies to manage excess electricity generation through effective utilization of domestic electricity generating capabilities. Our results show that in periods of greater PV and wind power, namely the spring and fall seasons, the frequency of excess electricity generation increases, while electricity demand decreases. This being the case, flexible operation of coal and nuclear power plants along with LNG and pumped-storage hydroelectricity can be used to counterbalance the excess electricity generation from renewables. In addition, nuclear energy plays an important role in reducing CO₂ emissions and electricity costs unlike the fossil fuel-based generation sources outlined in the 8th Basic Plan.

• 자원환경지질
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• 제50권2호
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• pp.159-170
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• 2017

다공성 구조의 장석과 주택 시방기준으로 제작된 바닥 축열층 모르타르의 열적 특성과 소비전력을 비교하였다. 실험을 위해 온수관이 설치된 2개의 실대형 모형을 제작하였다. 자외선 열화상 온도와 온도센서를 이용하여 가열과 냉각과정에서 축열층의 온도변화를 모니터링하였다. 시험동의 축열층은 $20-30^{\circ}C$ 구간의 온도 범위의 가열조건에서 $2-3.5^{\circ}C$ 높은 온도를 보였고 목표 온도에 도달하는 시간이 단축되었다. 온수관에서 멀어질수록 $4-4.8^{\circ}C$ 이상의 차이를 보였고 이는 장석 기반의 모르타르 축열층이 열적 평형에 빨리 도달하는 것을 지시한다. 가열 온도 $30^{\circ}C$를 기준으로 산정한 소비전력은 2.2배 차이를 보였고 단계별 온도 상승에서 소비전력은 66% 절감되었다. 냉각에서 시험동의 표면온도는 지속해서 $2^{\circ}C$ 이상 높았고 축열로 인해 보일러의 재가동 시간이 연장되는 것을 고려하면 에너지 효율은 더 증가할 것이다.

• 설비공학논문집
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• 제30권3호
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• pp.130-142
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• 2018

We use heat pumps with thermal storage system to reduce peak usage of electric power during winters and summers. A heat pump stores thermal energy in a thermal storage tank during the night, to meet load requirements during the day. This system stabilizes the supply and demand of electric power; moreover by utilizing the inexpensive midnight electric power, thus making it cost effective. In this study, we propose a system wherein the thermal storage tank and heat pump are modeled using the TRNSYS, whereas the control simulations are performed by (i) conventional control methods (i.e., thermal storage priority method and heat pump priority method); (ii) region control method, which operates at the optimal part load ratio of the heat pump; (iii) load response control method, which minimizes operating cost responding to load; and (iv) dynamic programming method, which runs the system by following the minimum cost path. We observed that the electricity cost using the region control method, load response control approach, and dynamic programing method was lower compared to using conventional control techniques. According to the annual simulation results, the electricity cost utilizing the load response control method is 43% and 4.4% lower than those obtained by the conventional techniques. We can note that the result related to the power cost was similar to that obtained by the dynamic programming method based on the load prediction. We can, therefore, conclude that the load response control method turned out to be more advantageous when compared to the conventional techniques regarding power consumption and electricity costs.