• 한국태양에너지학회 논문집
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• 제37권6호
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• pp.39-49
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• 2017

Pool boiling, one of the key thermal-hydraulics phenomena, has been widely studied for improving heat transfer efficiencies and safety of nuclear power plants, refrigerating systems, solar-collector heat pipes, and other facilities and equipments. In the present study, the critical heat flux (CHF) and heat-transfer coefficients were tested under the pool-boiling state using graphene M-5 and M-15 nanofluids as well as oxidized graphene M-5 nanofluid. The results showed that the highest CHF increase for both graphene M-5 and M-15 was at the 0.01% volume fraction and, moreover, that the CHF-increase ratio for small-diameter graphene M-5 was higher than that for large-diameter graphene M-15. Also at the 0.01% volume fraction, the oxidized graphene M-5 nanofluid showed a 41.82%-higher CHF-increase ratio and a 26.7%-higher heat-transfer coefficient relative to the same nanofluid without oxidation treatment at the excess temperature where the CHF of distilled water occurs.

• 전기전자학회논문지
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• 제23권1호
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• pp.151-158
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• 2019

본 논문에서는 태양광 및 풍력 발전소 등에 설치되어 있는 다수의 계통 연계형 인버터를 사용하여 Virtual D-STATCOM을 구성하고, 배전계통의 부하의 무효전력과 배전선로의 거리에 따른 케이블의 무효전력을 보상하여 기존의 단일 대용량 D-STATCOM을 설치하지 않고 변전소 인근의 PCC단의 무효전력을 보상하는 방법을 제시한다. 제안된 방식은 Matlab Simulink 시뮬레이션을 통해 동작원리와 무효전력 보상 성능을 검증하였다.

• 지능정보연구
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• 제29권4호
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• pp.229-256
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• 2023

팬데믹으로 인한 재택근무와 가정용 전력수요의 증가는 전력수요 패턴에 상당한 변화를 불러왔다. 이로 인해 한전 PPA(전력구매계약) 및 자가용 태양광 발전량 파악이 어려워지고, 전력거래소의 전력수요예측과 계통운영에 어려움이 가중되고 있다. 전기에너지는 다른 에너지 자원과 달리 저장이 어려워, 생산된 에너지와 소비 사이의 균형을 유지하는 것이 매우 중요하다. 전기에너지의 부족이나 과잉 생산은 에너지 시스템에 큰 불안정성을 초래할 수 있으므로, 전력 수급을 효과적으로 관리하는 것이 필수적이다. 특히, 4차 산업혁명 시대에는 데이터의 중요성이 더욱 커져 대규모 화재나 정전과 같은 문제가 심각한 영향을 미칠 수 있다. 이에 따라, 전기에너지 분야에서 정확한 전력수요와 함께 재생에너지와 같은 발전량을 정확하게 예측하여 적절한 발전 관리를 하는 것이 중요하며, 이는 불필요한 전력 생산을 줄이고 에너지 자원을 효율적으로 활용하는데 도움이 된다. 이에, 본 연구에서는 산업통상자원부에서 제공한 169개 발전소의 데이터를 활용하여 최적의 집합전력자원을 구성하기 위해 (1) 재생에너지 발전량 예측제도와 목표, 그리고 실제 적용에 대해 검토하고, (2) 예측제도 정산을 고려한 집합구성 알고리즘을 개발한 후, (3) 분석 로직에 이를 적용하여 결과를 종합하고 해석하였다. 본 연구는 최적의 집합구성 알고리즘을 개발하여, 최대 정산금 대비 80.66%에 달하는 집합구성(Result_Number 546)을 도출하였으며, 발전소 집합을 구성하였을 때 정산금을 증가시키는 발전소(B1783, B1729, N6002, S5044, B1782, N6006)와 정산금을 감소시키는 발전소(S5034, S5023, S5031)를 확인하였다. 집합전력자원을 연구단위로 설정하여 최적의 집합구성 알고리즘을 개발한 최초의 연구로서 의의가 있으며, 본 연구결과의 활용으로 전력시스템의 안정성을 향상시키고 에너지 자원이 효율적으로 활용될 수 있기를 기대한다.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2011년도 춘계학술대회 초록집
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• pp.109.1-109.1
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• 2011

KEPCO was operating power plants with diesel generators in 49 islands including Baekryeong-Do, and the generation capacity was about 66 MW in 2008. The cost of fuel is increasing by the international oil price inflation and continuous rise of oil price is predicted. For the stabilizing of electric power supply to the separate islands, renewable energy and fuel cell systems were considered. Hydrogen is made using renewable energy such as wind power and solar energy, and then a fuel cell system generates electricity with the stored hydrogen. Though the system efficiency is low, it is treated as the only way to secure the stable electric supply using renewable energy at this present. The analytic hierarchy process was used to select suitable candidate island for the system installation and 5 islands including Ulleung-Do were selected. Economic evaluation for the system composed of a kerosene generator, a wind power, an electrolysis, and a fuel cell system was conducted with levelized generation cost based on present value methode. As the result, the necessity of renewable energy combined generation system and micro grid composition in the candidated islands was confirmed. Henceforth, the development of an integration technology which connects micro grid to the total power grid will be needed.

• 시스템엔지니어링학술지
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• 제16권2호
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• pp.1-15
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• 2020

Nuclear power plants in South Korea are operated to cover the baseload demand. Hence they are operated at 100% rated power and do not deploy power tracking control except for startup, shutdown, or during transients. However, as the contribution of renewable energy in the energy mix increases, load follow operation may be needed to cover the imbalance between consumption and production due to the intermittent nature of electricity produced from the conversion of wind or solar energy. Load follow operation may be quite challenging since the operators need to control the axial power distribution and core reactivity while simultaneously conducting the power maneuvering. In this paper, a systems engineering approach for multi-physics load follow simulation of APR1400 is performed. RELAP5/SCDAPSIM/MOD3.4/3DKIN multi-physics package is selected to simulate the Korean Advanced Power Reactor, APR1400, under load follow operation to reflect the impact of feedback signals on the system safety parameters. Furthermore, the systems engineering approach is adopted to identify the requirements, functions, and physical architecture to provide a set of verification and validation activities that guide this project development by linking each requirement to a validation or verification test with predefined success criteria.

• 한국건설관리학회논문집
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• 제20권6호
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• pp.126-131
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• 2019

최근 태양광의 발전 효율성과 경제성이 높은 발전소 부지를 확보하기 위해 특정 지역을 대상으로 태양광 발전량을 정확히 예측하기 위한 연구들이 수행되었다. 하지만 국내의 경우 기존 발전량 데이터가 부족함에 따라 정확한 발전량 추정에 문제가 발생할 수 있으며, 우리나라 기준으로 어떠한 기상조건을 나타내는 변수가 태양광발전에 어느 정도의 영향을 미치는지에 대한 연구가 부족한 실정이다. 따라서 본 연구는 지형 효과를 충분히 고려하여 제작된 태양복사에너지 지도와 미세먼지와 같은 기상조건을 추가하여 태양광 발전량 추정 회귀모델을 제시하고, 추정된 발전량과 실제 발전량을 비교 분석하였다. 그 결과, 습도를 제외한 태양복사에너지, 온도, 풍속, 운량, 강수량, 일조시간, 미세먼지가 발전 효율에 통계적으로 유의미한 영향을 미치는 것으로 나타났으며, 회귀 분석모델을 통해 추정된 발전량과 실제 발전량을 비교 분석하여 RMSE는 48.261(h), nRMSE는 1.592(%), MAPE는 11.696(%), 그리고 는 0.979이 도출되었다. 이러한 결과는 국내 태양광 발전 부지를 평가함에 있어서 고려해야 하는 중요한 기상 조건 등 태양광 발전량 추정 모델을 설계하는데 활용할 수 있으며, 이를 바탕으로 태양광 발전소 건설 부지를 선정함에 있어 중요한 지표인 발전량을 정확히 추정하는데 기여할 것으로 사료된다.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.31-44
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• 2024

People have been using more energy in the last years. Several research studies were conducted to develop sustainable energy sources that can produce clean energy to fulfill our energy requirements. Using renewable energy sources helps to decrease the harm to the environment caused by conventional power plants. Choosing the right location and capacity for DG-RESs can greatly impact the performance of Radial Distribution Systems. It is beneficial to have a good and stable electrical power supply with low energy waste and high effectiveness because it improves the performance and reliability of the system. This research investigates the ideal location and size for solar and wind power systems, which are popular methods for producing clean electricity. A new artificial intelligent algorithm called Nutcracker Optimization Algorithm (NOA) is used to find the best solution in two common electrical systems named IEEE 33 and 69 bus systems to examine the improvement in the efficiency & reliability of power system network by reducing power losses, making voltage deviation smaller, and improving voltage stability. Finally, the NOA method is compared with another method called PSO and developed Hybrid Algorithm (NOA+PSO) to validate the proposed algorithm effectiveness and enhancement of both efficiency and reliability aspects.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2012년도 춘계학술발표대회 논문집
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• pp.494-497
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• 2012

A methodology to predict the output performance of small hydro power using treated effluent in wastewater treatment plant has been studied. Existing plant located Kyunggi-Do were selected and the output performance characteristics for these plants were analyzed. As a result, it was found that the developed model in this study can be used to analyze the output characteristics for small hydro power in wastewater treatment plant. Additionally, primary design specifications such as design flowrate, capacity, operational rate and annual electricity production were estimated and discussed.

• 한국산업융합학회 논문집
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• 제27권2_1호
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• pp.269-276
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• 2024

Many countries across the world are making efforts beyond reducing CO₂ levels and declaring 'net zero,' which aims to cut greenhouse gas emissions to zero by not emitting any carbon or capturing carbon, by 2050. Hydrogen is considered a key energy source to achieve carbon neutrality goals. Korean companies are also interested in building overseas green ammonia production plants and importing hydrogen into Korea in the form of ammonia. Green hydrogen production uses renewable energy sources such as solar and wind power, but the variability of power production poses challenges in plant design. Therefore, optimization of the configuration of a green ammonia production plant using renewable energy is expected to contribute as basic information for securing the economic feasibility of green ammonia production.

• Journal of Advanced Marine Engineering and Technology
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• 제36권7호
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• pp.876-884
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• 2012

The worldwide CPV(Concentrated Photo Voltaic) market has been increased rapidly due to the increase in large-scale PV(Photo Voltaic) plants which are situated in sun-rich areas with either a Mediterranean or equatorial-type climate. CPV systems are arguably some of the most important devices in the production of electricity within regions with a sun-rich climate, particularly those which benefit from abundant direct solar irradiation. We have developed a 500X CPV module with rated power of 170Wp. The CPV module must satisfy the constraint of having a sensitive tracking accuracy due to the limited tolerance of the acceptance angle in intrinsic optical design. In this study, the module's acceptance angle used was designed with a tolerance angle of ${\pm}1^{\circ}$ in the secondary optics design. In general, non-concentrated module type 2-axis trackers have a tolerance angle larger than ${\pm}1^{\circ}$ due to standard silicon-type modules which are insensitive to the tracking accuracy of the sun. They have a tolerance angle of ${\pm}2{\sim}4^{\circ}$, which fails to exert a significant influence on the performance of the module. This paper provides a study of an experimental variation of the efficiency of the CPV module in terms of its tracking accuracy. Also, the performance of the module is studied from the perspective of temperature and direct irradiation.