• Title/Summary/Keyword: Energy Analysis Model

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Transient loss analysis of non-insulation high temperature superconducting coil using the field-based data profiling method

  • Hoon Jung;Yoon Seok Chae;June Hee Han;Ji Hyung Kim;Seung Hoon Lee;Ho Chan Kim;Young Soo Yoon;Ho Min Kim
    • Progress in Superconductivity and Cryogenics
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    • v.25 no.3
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    • pp.38-42
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    • 2023
  • The evaluation of no-insulation (NI) high-temperature superconducting (HTS) typically uses the lumped equivalent circuit (LEC) model. Constant parameters in the NI HTS LEC model accurately predict voltage and central magnetic field at currents below the critical current. However, it is difficult to find constant circuit parameters that simultaneously satisfy the measured voltage and magnetic field under overcurrent conditions. Recent research highlights changes in contact resistance during transient conditions, which may impact power loss estimation in NI HTS coils. Therefore, we confirm the influence of contact resistance changes on loss calculation in the transient state for NI HTS coil. To achieve this, we introduce a measurement data analysis method based on the LEC model and compare it with the LEC model using constant circuit parameters.

Analysis of Building Energy using Meteorological Numerical Simulation Data over Busan Metropolitan Areas (부산지역에서의 기상 수치모의 자료를 이용한 건축물 에너지 분석)

  • Lee, Kwi-Ok;Kim, Min-Jun;Lee, Kang-Yeol;Kang, Dong-Bae;Park, Chang-Hyoun;Lee, Hwa-Woon;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.23 no.3
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    • pp.503-510
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    • 2014
  • To estimate the benefit of high-resolution meteorological data for building energy estimation, a building energy analysis has been conducted over Busan metropolitan areas. The heating and cooling load has been calculated at seven observational sites by using temperature, wind and relative humidity data provided by WRF model combined with the inner building data produced by American Society of Heating Refrigeration and Air-conditioning Engineers (ASHRAE). The building energy shows differences 2-3% in winter and 10-30% in summer depending on locations. This result implicates that high spatiotemporal resolution of meteorological model data is significantly important for building energy analysis.

A Non-linear Model for Dynamic Analysis of Reactor Internals (원자로내부구조물의 동적해석을 위한 비선형모델)

  • Myung-J.Jhun;Sang-G.Chang;Song, Heuy-G.
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1993.04a
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    • pp.165-172
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    • 1993
  • A non-linear mathematical model has been developed for the dynamic analysis of the reactor internals. The model includes a lumped mass and stiffness with non-linear members such as gap-spring. As hydrodynamic couplings have also been considered in the model, the effect of fluid/structure interaction between internals components due to their immersion in a confining fluid can be studied for the dynamic response analysis. The reactor internals responses for seismic and pipe break excitations have been calculated for the case of with-and without-hydrodynamic couplings.

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A Dynamic Analysis of The Deployment of Korean Renewable Energy Market (신.재생에너지 시장 확장의 동태적 분석)

  • Yu, Jae-Kook;Kwak, Sang-Man
    • Korean System Dynamics Review
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    • v.6 no.2
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    • pp.95-116
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    • 2005
  • The purpose of this study is to analyze the structure of renewable energy market in order to deploy more renewable energy in Korea on the basis of information asymmetry between suppliers and demanders. To attain this purpose we develop the model to analyze and simulate the renewable market using system dynamics. This model is developed not to forecast the accurate size of market but to learn more structure of market using our limited data, mental model and knowledge of market.

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A Study on the Influence of a Sewage Treatment Plant's Operational Parameters using the Multiple Regression Analysis Model

  • Lee, Seung-Pil;Min, Sang-Yun;Kim, Jin-Sik;Park, Jong-Un;Kim, Man-Soo
    • Environmental Engineering Research
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    • v.19 no.1
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    • pp.31-36
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    • 2014
  • In this study, the influence of the control and operational parameters within a sewage treatment plant were reviewed by performing multiple regression analysis on the effluent quality of the sewage treatment. The data used for this review are based on the actual data from a sewage treatment plant using the media process within the year 2012. The prediction models of chemical oxygen demand ($COD_{Mn}$) and total nitrogen (T-N) within the effluent of the 2nd settling tank based on the multiple regression analysis yielded the prediction accuracy measurements of 0.93 and 0.84, respectively; and it was concluded that the model was accurately predicting the variances of the actual observed values. If the data on the energy spent on each operating condition can be collected, then the operating parameter that conserves energy without violating the effluent quality standards of COD and T-N can be determined using the regression model and the standardized regression coefficients. These results can provide appropriate operation guidelines to conserve energy to the operators at sewage treatment plants that consume a lot of energy.

Analysis of Control Stability and Performance of Magnetically-Levitated Flywheel Energy Storage System using Flexible Rotor Model (유연체 회전축 모델을 이용한 자기부상형 플라이휠 에너지 저장장치의 제어시스템 안정성 및 성능 해석)

  • Yoo, Seong-Yeol;Lee, Wook-Ryun;Bae, Yong-Chae;Noh, Myoung-Gyu
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2009.10a
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    • pp.258-263
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    • 2009
  • This paper describes an analysis of the stability and performance of a large-capacity flywheel energy storage system (FESS) supported by active magnetic bearings. We designed and manufactured the system that can store up to 5kWh of usable energy at the maximum speed of 18,000 rpm. In order to analyze the stability of the systems accurately, we derived a rigid body rotor model, flexible rotor model using finite-element method, and a reduced-order model using modal truncation. The rotor model is combined with those of active magnetic bearings, amplifiers, and position sensors, resulting in a system simulation model. This simulation model is validated against experimental measurements. The stability of the system is checked from the pole locations of the closed-loop transfer functions. We also investigated the sensitivity function to quantify the robustness of the systems to the disturbances such as mass imbalance and sensor noises.

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A study on the Distribution Estimation of Residental Refrigerators using Bass Diffusion Model and Economic Analysis Corresponding to Enhancement of Energy Efficiency (Bass 확산모형을 이용한 가정용 냉장고의 보급추정 및 효율향상에 따른 경제성 분석 연구)

  • Baek, Jung-Myoung;Won, Jong-Ryul;Lee, Byung-Ha;Kim, Jung-Hoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.11
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    • pp.1938-1945
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    • 2008
  • Due to rapid economic growth, the usage of residential cooling electrical appliances such as air conditioners and refrigerators has increased dramatically for the last decades. In other to reduce its energy consumption, the authorities have applied energy efficiency standards for principal appliances, including refrigerator. This paper estimates the distribution of refrigerators using the Bass Diffusion Model and then performs economic analysis corresponding to enhancement of energy efficiency more correctly than existing methods.

Development of Simplified Building Energy Simulation Program for Building Energy Performance Analysis (건물에너지 성능 분석을 위한 간이 건물에너지 시뮬레이션 프로그램 개발에 관한 연구)

  • Park, Jong-Il;Kang, Yoon-Suk;Ihm, Pyeong-Chan
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.21 no.1
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    • pp.9-15
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    • 2009
  • There are various types of energy simulation tool to predict both thermal load and energy use. However, the problem about these software is that they have too much input variables and need expert with skills to run the simulation. Therefore, the purpose of this study is to develop the thermal analysis simulation program with input variables which eliminates coordinates of building components instead of using full coordinates by using DOE2. Since the simulation engine of the program is DOE2, the validity of S-DOE is performed by comparing peak heating and cooling load results with VisualDOE and annual energy use results with actual energy use of 1996. The results have shown that there are little difference between VisualDOE and S-DOE. Also it showed that there are little difference between actual energy use and S-DOE energy use results. S-DOE took less time to model a building than VisualDOE. These results reveals that the application of S-DOE have potentials in accurately predicting both energy load and energy use of the building and still have an advantage of taking less time to model a building.

Energy-Based Hysteretic Models for R/C Members (에너지 소산능력에 기초한 철근콘크리트 부재의 이력모델)

  • Eom, Tae-Sung;Park, Hong-Gun
    • Journal of the Earthquake Engineering Society of Korea
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    • v.8 no.5 s.39
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    • pp.45-54
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    • 2004
  • Since existing hysteretic models for R/C members focused on presenting the degrading stiffness using empirical equations based on experiments, they cannot accurately predict the energy dissipation capacity during cyclic loading. Recently, design equations which can evaluate the energy dissipation capacity of R/C members were developed. Based on those equations, in the present study, an energy-based hysteretic model for flexure-dominated R/C members was developed. The proposed model was devised to dissipate the same energy as the actual one dissipated during a complete load cycle. The proposed model represents the hysteretic behaviors of R/C members accompanied by stiffness degradation and pinching using primary and cyclic curves and six unloading/reloading rules. The proposed model was verified by comparisons with various experimental results. The energy-based hysteretic model can be used to develop computer programs for static and dynamic analysis/design because it is simple and easily applicable to numerical analysis.

Performance Analysis of Heat Sink for LED Downlight Using Lumped Parameter Model (집중변수모델을 이용한 LED조명등 방열기구의 성능분석)

  • Kim, Euikwang;Jo, Youngchul;Yi, Seungshin;An, Younghoon
    • Journal of Energy Engineering
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    • v.26 no.2
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    • pp.64-72
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    • 2017
  • The performance analysis of the 70 W class LED lighting system suitable for the Middle East environment was performed using the lumped parameter model. The LED light is composed of a heating substrate, a heat pipe, and a heat sink. We divided the LED lights into four objects and applied energy equilibrium to each of them to establish four lumped nonlinear differential equations. The solution of the simultaneous equations was obtained by the Runge-Kutta method. Convective heat transfer coefficients of the lumped model were obtained by multidimensional CFD analysis. As a result of comparison with experiment, it was found that the heating substrate had an error of $1.5^{\circ}C$ and the upper heat sink had an error of $1.8^{\circ}C$ and the relative error was about 0.6 %. Using this model, temperature distribution analysis was performed for normal operating conditions with an ambient temperature of $55^{\circ}C$, with sunlight only, with abnormal operating conditions with sunlight, and without an upper heat sink.