• Title/Summary/Keyword: Containment system

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Evaluation of Cooling Energy Saving through Applying Aisle Partition System on a Data Center Server Room (파티션 시스템 적용을 통한 기존 데이터센터 서버실의 냉방 에너지 절감 성능평가)

  • Park, Jong-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.7
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    • pp.726-733
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    • 2016
  • In this study, a computer simulation of the three types of air distribution systems, open type system, aisle partition system and aisle containment system, to evaluate the applicability of the aisle partition system on a data center server room. The variables of the simulation were the height and location of the partition fixed on the top server rack. The energy efficiency of the air distribution systems were confirmed to be excellent in the order of the aisle containment system, aisle partition system, and open type system. In the cold aisle partition system, the height of the partition that can be effective in saving cooling energy by obstructing sufficient air recirculation was found to be more than 0.9m. In the hot aisle partition system, the height of the partition was found to be more than 0.8m.

Research of design challenges and new technologies for floating LNG

  • Lee, Dong-Hyun;Ha, Mun-Keun;Kim, Soo-Young;Shin, Sung-Chul
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.6 no.2
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    • pp.307-322
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    • 2014
  • With the rate of worldwide LNG demand expected to grow faster than that of gas demand, most major oil companies are currently investing their resources to develop floating LNG-FLNG (i.e. LNG FSRU and LNG FPSO). The global Floating LNG (FLNG) market trend will be reviewed based on demand and supply chain relationships. Typical technical issues associated with FLNG design are categorized in terms of global performance evaluation. Although many proven technologies developed through LNG carrier and oil FPSO projects are available for FLNG design, we are still faced with several technical challenges to clear for successful FLNG projects. In this study, some of the challenges encountered during development of the floating LNG facility (i.e. LNG FPSO and FSRU) will be reviewed together with their investigated solution. At the same time, research of new LNG-related technologies such as combined containment system will be presented.

Kt Factor Analysis of Lead-Acid Battery for Nuclear Power Plant

  • Kim, Daesik;Cha, Hanju
    • Journal of international Conference on Electrical Machines and Systems
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    • v.2 no.4
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    • pp.460-465
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    • 2013
  • Electrical equipments of nuclear power plant are divided into class 1E and non-class 1E. Electrical equipment and systems that are essential to emergency reactor shutdown, containment isolation, reactor core cooling, and containment and reactor heat removal, are classified as class 1E. batteries of nuclear power plant are divided into four channels, which are physically and electrically separate and independent. The battery bank of class 1E DC power system of the nuclear power plant use lead-acid batteries in present. The lead acid battery, which has a high energy density, is the most popular form of energy storage. Kt factor of lead-acid battery is used to determine battery size and it is one of calculatiing coefficient for capacity. this paper analyzes Kt factor of lead-acid battery for the DC power system of nuclear power plant. In addition, correlation between Kt parameter and peukert's exponent of lead-acid battery for nuclear plant are discussed. The analytical results contribute to optimize of determining size Lead-acid battery bank.

Strength Analysis of Mark III Cargo Containment System using Anisotropic Failure Criteria

  • Jeong, Han Koo;Yang, Young Soon
    • Journal of Advanced Research in Ocean Engineering
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    • v.1 no.4
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    • pp.211-226
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    • 2015
  • Membrane type Mark III cargo containment system (CCS) is considered in this study to investigate its strength capability under applied loads due to liquefied natural gas (LNG) cargo. A rectangular plated structure supported by inner hull structure is exemplified from Mark III CCS according to classification society's guidance and it is assumed as multi-layered structure by stacking plywood, triplex, reinforced polyurethane (PU) foam and series of mastic upon inner hull structure. Commercially available general purpose finite element analysis package is used to have reliable FE models of Mark III CCS plate. The FE models and anisotropic failure criteria such as maximum stress, Hoffman, Hill, Tsai-Wu and Hashin taking into account the direction dependent material properties of Mark III CCS plate components and their material properties considering a wide variation of temperature due to the nature of LNG together form the strength analysis procedure of Mark III CCS plate. Strength capability of Mark III CCS plate is understood by its initial failure and post-initial failure states. Results are represented in terms of failure loads and locations when initial failure and post-initial failures are occurred respectively. From the results the basic design information of Mark III CCS plate is given.

Conjunctive Query Rewriting in the Context of Data Integration

  • Moon, Kang-Sik;Lee, Jeon-Young
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.441-447
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    • 2001
  • The problem of query rewriting using views has interested in the context of data integration where source data is described by the views on global relations. When the query and views are of the form of conjunctive queries, the rewriting is a union of conjunctive queries each of which is contained in the original query and consists of only views. Most previous methods for query rewriting using views are 2-step algorithms. In the first step, they identify the views that are useful in rewriting and in the second step they construct all correct rewritings by combining the views that gained in the first step. The larger the number of selected views in the first step, the larger the number of candidate rewritings in the second step. We want to minimize the number of selected views in the first step by defining stringent conditions for a view to be participated in rewritings. In this paper, first we offer a necessary condition for the existence of a rewriting that includes a view. For the common case that predicate repetitions are not allowed in the bodies of views, we show that our algorithm for testing the condition is done in a polynomial-time. Second, we offer an algorithm to construct contained rewritings using the view instances that are computed in the first step. The exponential containment-mapping test in the second step is not needed in our algorithm.

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Consideration for IMO Type C Independent Tank Rule Scantling Process and Evaluation Methods (IMO C형 독립탱크의 설계치수 계산과정 및 평가방법에 대한 고찰)

  • Heo, Kwang-hyun;Kang, Won-sik;Park, Bong-qyun
    • Special Issue of the Society of Naval Architects of Korea
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    • 2017.10a
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    • pp.93-104
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    • 2017
  • IMO type C independent tank is one of the cargo containment system specified on IGC code. It is normally adopted for small and medium size liquefied gas carrier's cargo containment system and it can be applied to fuel tank of LNG fueled vessel. This study focuses on rule scantling process and evaluation methods in early design stage of type C independent tank. Actual design results of 22K LPG/Ammonia/VCM carrier's No.2 cargo tank are demonstrated. This paper presents the calculation methods of design acceleration and liquid height for internal design pressure as defined on IGC code. And this paper shows the applied results of classification rules about shell thickness requirement and buckling strength. Additionally this paper deals with evaluation methods of structural strength and cumulative fatigue damage using FE analysis.

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LIQUID FLOW AND EVAPORATION SIMULATION OF CRYOGENIC FLUID IN THE WALL OF CRYOGENIC FLUID CARGO CONTAINMENT SYSTEM (극저온 유체 화물창 방벽 내의 액체유동 및 기화 시뮬레이션)

  • Park, Bum-Jin;Lee, Hee-Bum;Rhee, Shin-Hyung;Bae, Jun-Hong;Lee, Kyung-Won;Jeong, Wang-Jo;An, Sang-Jun
    • Journal of computational fluids engineering
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    • v.14 no.2
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    • pp.9-18
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    • 2009
  • The cargo containment system (CCS) for ships carrying cryogenic fluid consists of at least two levels of barriers and insulation layers. It is because, even though there is a small amount of leak through the primary barrier, the liquid tight secondary barrier blocks further leakage of the cryogenic fluid. However, once the secondary barrier is damaged, it is highly possible that the leaked cryogenic fluid flows through the flat joint made of glass wool and reaches the inner hull of the ship. The primary objective of the present study is to investigate the influence of the damage extent in the secondary barrier on the amount of leaked cryogenic fluid reaching the inner hull and the temperature distribution there. Simulation results using a computational fluid dynamics tool were compared with the experimental data for the leaked cryogenic fluid flow and evaporation in the secondary insulation layer. The experimental and computational results suggest that, unless there is a massive leak, the cryogenic fluid mostly evaporates in the insulation layer and does not reach the inner hull in the state of liquid.

Application of the machine learning technique for the development of a condensation heat transfer model for a passive containment cooling system

  • Lee, Dong Hyun;Yoo, Jee Min;Kim, Hui Yung;Hong, Dong Jin;Yun, Byong Jo;Jeong, Jae Jun
    • Nuclear Engineering and Technology
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    • v.54 no.6
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    • pp.2297-2310
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    • 2022
  • A condensation heat transfer model is essential to accurately predict the performance of the passive containment cooling system (PCCS) during an accident in an advanced light water reactor. However, most of existing models tend to predict condensation heat transfer very well for a specific range of thermal-hydraulic conditions. In this study, a new correlation for condensation heat transfer coefficient (HTC) is presented using machine learning technique. To secure sufficient training data, a large number of pseudo data were produced by using ten existing condensation models. Then, a neural network model was developed, consisting of a fully connected layer and a convolutional neural network (CNN) algorithm, DenseNet. Based on the hold-out cross-validation, the neural network was trained and validated against the pseudo data. Thereafter, it was evaluated using the experimental data, which were not used for training. The machine learning model predicted better results than the existing models. It was also confirmed through a parametric study that the machine learning model presents continuous and physical HTCs for various thermal-hydraulic conditions. By reflecting the effects of individual variables obtained from the parametric analysis, a new correlation was proposed. It yielded better results for almost all experimental conditions than the ten existing models.