• Advances in Energy Research
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• 제5권4호
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• pp.321-339
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• 2017

Energy simulation tools can provide information on the amount of heat transfer through building envelope components, which are considered the main sources of heat loss in buildings. Therefore, it is important to improve the quality of outputs from energy simulation tools and also the process of obtaining them. In this paper, a new Building Energy Performance Assessment Tool (BEPAT) is introduced, which provides users with granular data related to heat transfer through every single wall, window, door, roof, and floor in a building and automatically saves all the related data in text files. This information can be used to identify the envelope components for thermal improvement through energy retrofit or during the design phase. The generated data can also be adopted in the design of energy smart homes, building design tools, and energy retrofit tools as a supplementary dataset. BEPAT is developed by modifying EnergyPlus source code as the energy simulation engine using C++, which only requires Input Data File (IDF) and weather file to perform the energy simulation and automatically provide detailed output. To validate the BEPAT results, a computer model is developed in Revit for use in BEPAT. Validating BEPAT's output with EnergyPlus "advanced output" shows a difference of less than 2% and thus establishing the capability of this tool to facilitate the provision of detailed output on the quantity of heat transfer through walls, fenestrations, roofs, and floors.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 추계학술대회 논문집 전력기술부문
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• pp.258-260
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• 2004

This paper analyse a operating characteristics when the Community Energy System (CES) is operated islanding mode. In the near future, CES might be one of major energy supply structures. The basic concept of CES is that it supplies electrical and thermal energy to the local customer loads through the islanded power network separated from the grid. The CES must be supplying local load with stable energy on the islanding mode, analysing necessary to thoroughly the operation feature. In order to show them, in this paper, we model the CES with 2.34 MVA DG and simulate the operating feature on the islanding mode of CES. The simulation results show that, in order to stability operate, the CES need the efficient load management and generation control schemes during the transition periods.

• Nuclear Engineering and Technology
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• 제53권2호
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• pp.484-497
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• 2021

This paper proposes an extended time uncertainty analysis approach in Level 2 human reliability analysis (HRA) considering severe accident management (SAM) strategies. The method is a time-based model that classifies two time distribution functions-time required and time available-to calculate human failure probabilities from delayed action when implementing SAM strategies. The time required function can be obtained by the combination of four time factors: 1) time for diagnosis and decision by the technical support center (TSC) for a given strategy, 2) time for strategy implementation mainly by the local emergency response organization (ERO), 3) time to verify the effectiveness of the strategy and 4) time for portable equipment transport and installation. This function can vary depending on the given scenario and includes a summation of lognormal distributions and a choice regarding shifting the distribution. The time available function can be obtained via thermal-hydraulic code simulation (MAAP 5.03). The proposed approach was applied to assess SAM strategies that use portable equipment and safety depressurization system valves in a total loss of component cooling water event that could cause reactor vessel failure. The results from the proposed method are more realistic (i.e., not conservative) than other existing methods in evaluating SAM strategies involving the use of portable equipment.

• 한국생산제조학회지
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• 제23권5호
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• pp.450-455
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• 2014

Domestic power plants have consistently been developed over the years in industrially developed nations with high standards of living. Considering the power plant development strategy, design efficiency is of upmost importance. Therefore, an improper design directly affects the power plant's risk management plan and the potential risks of the piping system. Therefore, in this study, research is intended to be carried out to allow efficient power plant operation, through optimization of the design of the piping system. The purpose of the study is to confirm economic feasibility by changing the piping loop design, expanding the length of pipe loops, and to investigate the thermal stress influence on the piping system through simulations of systems similar in condition to those currently used in existing plants in Korea.

• 한국산학기술학회논문지
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• 제15권5호
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• pp.2545-2552
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• 2014

본 연구에서는 전기구동 자동차에 동력원으로 사용되는 고전압 및 고용량 배터리의 고효율 운전을 위하여 배터리 열관리 시스템 기술을 소개하고 이론적 설계 방법에 소개하고 한다. 이를 위하여 전기구동 자동차의 배터리로 많이 사용되는 리튬이온 배터리의 고효율 운전을 위한 발열 모델링을 제시하였고, 열원의 종류에 따른 냉방 및 난방 시스템 설계를 에너지 평형식을 이용하여 부하를 계산하였다. 특히, 리튬이온 배터리의 발열 모델링을 이용하여 충전 및 방전 시 발열 반응열과 혹서기 및 혹한기시 배터리 작동의 최적 온도를 유지하기 위한 냉방과 난방 설계 기술을 제시하였다. 전기구동 자동차 종류에 따라 배터리 사용 비중이 다르기 때문에 효율적인 배터리 열관리를 위하여 계절별 및 작동 모드별 부하에 따른 배터리 열관리 기술을 제안하였다. 또한, 냉방 부하가 가장 큰 여름철 동일 조건에서 외부 공기 온도가 같다고 가정하면 냉방 능력은 수랭식 냉매 방법이 가장 크며 공랭식 방법이 가장 작게 나타난다.

• Current Optics and Photonics
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• 제6권6호
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• pp.521-549
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• 2022

Fiber lasers have made remarkable progress over the past three decades, and they now serve far-reaching applications and have even become indispensable in many technology sectors. As there is an insatiable appetite for improved performance, whether relating to enhanced spatio-temporal stability, spectral and noise characteristics, or ever-higher power and brightness, thermal management in these systems becomes increasingly critical. Active convective cooling, such as through flowing water, while highly effective, has its own set of drawbacks and limitations. To overcome them, other synergistic approaches are being adopted that mitigate the sources of heating at their roots, including the quantum defect, concentration quenching, and impurity absorption. Here, these optical methods for thermal management are briefly reviewed and discussed. Their main philosophy is to carefully select both the lasing and pumping wavelengths to moderate, and sometimes reverse, the amount of heat that is generated inside the laser gain medium. First, the sources of heating in fiber lasers are discussed and placed in the context of modern fiber fabrication methods. Next, common methods to measure the temperature of active fibers during laser operation are outlined. Approaches to reduce the quantum defect, including tandem-pumped and short-wavelength lasers, are then reviewed. Finally, newer approaches that annihilate phonons and actually cool the fiber laser below ambient, including radiation-balanced and excitation-balanced fiber lasers, are examined. These solutions, and others yet undetermined, especially the latter, may prove to be a driving force behind a next generation of ultra-high-power and/or ultra-stable laser systems.

• 한국항공우주학회지
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• 제50권10호
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• pp.729-737
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• 2022

하반기에 발사 예정인 차세대소형위성2호(NEXTSat-2)에 탑재된 고상-액상 상변화물질 열제어장치(Phase Change Material Thermal Control Unit, PCMTCU)의 비행모델에 대한 위성 차원 열진공시험 결과로부터 융해-응고에 따른 작동과정을 분석하였다. 시험결과 PCM의 상변화는 발열부품의 온도 안정화에 기여함을 확인하였다. 시험에서 계측된 온도변화를 이용하여 타당한 정도의 정확도를 갖도록 PCMTCU의 열해석모델에 대한 보정을 수행하였다. 보정된 열해석모델로써 임무궤도의 정상 작동에 따른 PCMTCU의 주기적 온도변화를 예측하였으며, PCM의 액상분율로써 정량적 기여도를 평가하였다. 향후 임무궤도에서의 비행자료를 수신하여 PCMTCU의 우주 환경 검증을 완료할 예정이다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2012년도 학술발표회
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• pp.643-643
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• 2012

Increasing energy prices and growing concerns about global warming address the need to improve energy self-sufficiency in many industrial and municipal sectors. Wastewater treatment plants (WWTPs) are representative of energy-consuming facilities in Korea, accounting for 5% of national energy consumption. We present renewable energy technologies and energy self-sufficiency scenarios in a municipal WWTP ($30,000m^3d^{-1}$) located in Yongin, South Korea. By employing photovoltaics (PV, 135 kW), small hydropower turbine (10 kW), and thermal energy from treated effluent (25 RT: refrigeration ton) within the WWTP, a total of 142 tonne of oil equivalent (toe) of energy was estimated to be generated, accounting for $365ton\;CO_2\;yr^{-1}$ of greenhouse gas emission reduction. Core renewable technologies under consideration include 1) hybrid solar PV system consisting of fixed PV, dual-axis PV, and building integrated PV, 2) low-head small hydropower plant specifically designed for treated effluent, 3) effluent heat recovery system for heating and air conditioning. In addition to these core technologies, smart operation and management scheme will be presented for enhancing overall energy savings and distribution within the WWTP.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권4호
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• pp.254-261
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• 2016

The present research paper is devoted to solving an urgent problem, i.e., the energy saving and energy efficiency of buildings. A rapid settlement method and experimental control of the energy conservation based on the specific characteristics of the thermal energy consumption for the heating and ventilation of the buildings, and as well as the rapid development of wireless sensor networks, can be used in a variety of monitoring parameters in our daily lives. Today's world has become quite advanced with smart appliances and devices such as laptops, tablets, TVs, and smartphones with various functions, and their use has increased significantly in our day-to-day lives. In this case, the most important role is played by a wireless sensor network with its development and use in heterogeneous areas and in several different contexts. The fields of home automation, process management, and health management systems make extensive use of wireless sensor networks. In this paper, we explore the main factors of the microclimate in an indoor environment. We control the temperature humidity, and other factors remotely using sensors and Internet-of-Things technologies.

• 에너지공학
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• 제27권2호
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• pp.26-31
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• 2018

이 논문은 강화학습기반으로 지역난방 열사용자 기계실 설비의 열효율 향상을 시도하는 연구를 소개하며, 한 예시로서 모델을 특정하지 않는 강화학습 알고리즘인 딥큐러닝(deep Q learning)을 활용하는 학습 네트워크(DQN)를 구성하는 일반적인 방법을 제시한다. 또한 복수의 열에너지 기계실에 설치된 IoT 센서로부터 유입되는 방대한양의 데이터 처리에 있어 에너지 분야에 특화된 빅데이터 플랫폼 시스템과 열수요 통합관리시스템에 대하여 소개 한다.