• 제목/요약/키워드: Nuclear battery

검색결과 58건 처리시간 0.024초

수치해석 및 진동대 실험을 통한 충전기의 캐비닛내부응답스펙트럼(ICRS) 결과 비교 (In-Cabinet Response Spectrum Comparison of Battery Charger by Numerical Analysis and Shaking Table Test)

  • 이상진;최인길;박동욱;임승현
    • 한국압력기기공학회 논문집
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    • 제15권1호
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    • pp.53-61
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    • 2019
  • The seismic capacity of electric cabinets in Nuclear Power Plants (NPPs) should be qualified before installation and be maintained during operation. However it can happen that identical devices cannnot be produced for replacement of devices mounted in electric cabinets. In case of when no In-Cabinet Response Spectrum (ICRS) is available for new devices, ICRS can be generated by using Finite Element Analysis (FEA). In this study we investigate structural response and ICRSs of battery charger which is supplied to NPPs. Test results on the battery charger are utilized in this study. The response is measured by accelerometers installed on the housing of the battery charger and local panels in the battery charger. Numerical analysis model is established based on resonant frequency search test results and validated by comparison with 2 types of earthquake testing results. ICRSs produced from the numerical model are compared with measured ICRSs in the seismic tests. Developed analysis model is a simple reduced model and anticipates ICRSs quite well as measured response in the tests overall despite of its structural limitation.

원전 비상전원 설계를 위한 납축전지 및 리튬계열전지 전기적 특성 비교 (Comparison of electrical characteristic between Lead-Acid Battery and Lithium-based Battery for Designing in NPPs)

  • 박성윤;김건우;김종훈;박성백
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2018년도 추계학술대회
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    • pp.119-120
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    • 2018
  • 국내 원자력 발전소의 비상전원공급을 위하여 대체교류디젤 발전기와 납축전지를 사용하고 있다. 납축전지는 온도, 방전 전류, 수명 및 안정성 등에서 리튬계열전지와 비교되고 있으며, 전기적 특성이 우수하고 안정성이 높은 리튬계열전지의 사용이 고려되고 있다. 본 논문은 원전의 비상전원 설계를 위하여 납축전지와 리튬계열전지의 전기적 특성을 비교 분석하였다.

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한국형 달 탐사용 원자력전지의 열제어 구조 연구 (Study on the Thermal Design of Nuclear Battery for Lunar Mission)

  • 홍진태;손광재;김종범;박종한;안동규;양동열
    • 한국정밀공학회지
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    • 제33권4호
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    • pp.271-277
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    • 2016
  • For a stable electric power supply in the space, nuclear batteries have been used as the main power source in a spacecraft owing to their long lifetime and high reliability. In accordance with the plan for lunar mission in Korea, nuclear batteries will supply electricity to the rover that needs to be developed. According to the information about the estimated payload, Korea Atomic Energy Research Institute started with the conceptual design based on the previous studies in USA and Russia. Because a nuclear battery converts the decay heat of the radioisotope into electricity, thermal design, radiation shield, and shock protection need to be considered. In this study, two types of nuclear batteries, radial type and axial type, were designed according to the alignment of the thermoelectric module. Heat transfer analyses were performed to compare their thermoelectric efficiency, and test mockups were fabricated to evaluate their performances.

Study of a Betavoltaic Battery Using Electroplated Nickel-63 on Nickel Foil as a Power Source

  • Uhm, Young Rang;Choi, Byoung Gun;Kim, Jong Bum;Jeong, Dong-Hyuk;Son, Kwang Jae
    • Nuclear Engineering and Technology
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    • 제48권3호
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    • pp.773-777
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    • 2016
  • A betavoltaic battery was prepared using radioactive $^{63}Ni$ attached to a three-dimensional single trenched P-N absorber. The optimum thickness of a $^{63}Ni$ layer was determined to be approximately $2{\mu}m$, considering the minimum self-shielding effect of beta particles. Electroplating of radioactive $^{63}Ni$ on a nickel (Ni) foil was carried out at a current density of $20mA/cm^2$. The difference of the short-circuit currents ($I_{sc}$) between the pre- and post-deposition of $^{63}Ni$ (16.65 MBq) on the P-N junction was 5.03 nA, as obtained from the I-V characteristics. An improved design with a sandwich structure was provided for enhancing performance.

Measurement of low energy beta radiation from Ni-63 by using peeled-off Gafchromic EBT3 film

  • Ji, Wanook;Kim, Jong-Bum;Kim, Jin-Joo
    • Nuclear Engineering and Technology
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    • 제54권10호
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    • pp.3811-3815
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    • 2022
  • Ni-63 is pure beta source which emits low energy beta particles. The Ni-63 sources were fabricated to develop the beta-voltaic battery which converts decay energy into electrical energy for power generation. Activity distribution of the source was important factor of power producibility of the beta-voltaic battery. Liquid scintillation counter widely used for measurement of low energy beta emitters was not suitable to measure activity distribution. In this study, we used the peeled-off Gafchromic™ EBT3 film to measure the activity distribution of the Ni-63 source. Absorbed dose was increased proportionally to the source activity and exposure duration. The low energy beta particles could transport the energy into the active layer without the polyester protective layer. Also, Activity distribution was measured by using the peeled-off EBT3 film. Two-dimensional dosimetric distribution was suitable to measure the activity distribution. To use the peeled-off EBT3 film is user-friendly and cost-effective method for quality assurance of the Ni-63 sources for the beta-voltaic battery.

Comparison of event tree/fault tree and convolution approaches in calculating station blackout risk in a nuclear power plant

  • Man Cheol Kim
    • Nuclear Engineering and Technology
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    • 제56권1호
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    • pp.141-146
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    • 2024
  • Station blackout (SBO) risk is one of the most significant contributors to nuclear power plant risk. In this paper, the sequence probability formulas derived by the convolution approach are compared with those derived by the conventional event tree/fault tree (ET/FT) approach for the SBO situation in which emergency diesel generators fail to start. The comparison identifies what makes the ET/FT approach more conservative and raises the issue regarding the mission time of a turbine-driven auxiliary feedwater pump (TDP), which suggests a possible modeling improvement in the ET/FT approach. Monte Carlo simulations with up-to-date component reliability data validate the convolution approach. The sequence probability of an alternative alternating current diesel generator (AAC DG) failing to start and the TDP failing to operate owing to battery depletion contributes most to the SBO risk. The probability overestimation of the scenario in which the AAC DG fails to run and the TDP fails to operate owing to battery depletion contributes most to the SBO risk overestimation determined by the ET/FT approach. The modification of the TDP mission time renders the sequence probabilities determined by the ET/FT approach more consistent with those determined by the convolution approach.

Physics informed neural networks for surrogate modeling of accidental scenarios in nuclear power plants

  • Federico Antonello;Jacopo Buongiorno;Enrico Zio
    • Nuclear Engineering and Technology
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    • 제55권9호
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    • pp.3409-3416
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    • 2023
  • Licensing the next-generation of nuclear reactor designs requires extensive use of Modeling and Simulation (M&S) to investigate system response to many operational conditions, identify possible accidental scenarios and predict their evolution to undesirable consequences that are to be prevented or mitigated via the deployment of adequate safety barriers. Deep Learning (DL) and Artificial Intelligence (AI) can support M&S computationally by providing surrogates of the complex multi-physics high-fidelity models used for design. However, DL and AI are, generally, low-fidelity 'black-box' models that do not assure any structure based on physical laws and constraints, and may, thus, lack interpretability and accuracy of the results. This poses limitations on their credibility and doubts about their adoption for the safety assessment and licensing of novel reactor designs. In this regard, Physics Informed Neural Networks (PINNs) are receiving growing attention for their ability to integrate fundamental physics laws and domain knowledge in the neural networks, thus assuring credible generalization capabilities and credible predictions. This paper presents the use of PINNs as surrogate models for accidental scenarios simulation in Nuclear Power Plants (NPPs). A case study of a Loss of Heat Sink (LOHS) accidental scenario in a Nuclear Battery (NB), a unique class of transportable, plug-and-play microreactors, is considered. A PINN is developed and compared with a Deep Neural Network (DNN). The results show the advantages of PINNs in providing accurate solutions, avoiding overfitting, underfitting and intrinsically ensuring physics-consistent results.