• Title/Summary/Keyword: Maximum-Minimum Temperature Difference

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해양온도차 발전소의 입지선정을 위한 해수 온도차의 공간적 분포특성 분석 (A Property Analysis on Spatial Distribution of Sea Water Temperature Difference for Site Selection of Ocean Thermal Energy Conversion Plant)

  • 서영상;장이현;조명희
    • 에너지공학
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    • 제8권4호
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    • pp.567-575
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    • 1999
  • 한국동해 연근해역의 표층수온은 일반적으로 온대해역에서의 표층수온과 같이 계절변화를 하지만, 심층에서는 연중 1 $^{\circ}C$이하의 온도를 유지하는데 동해고유수로 인하여 표층의 온수와 심층의 냉수간의 온도차를 이용한 해양온도차 발전의 충분한 잠재성이 있다. 해양온도차 발전의 제 1 조건인 표층수와 심층수간의 온도차에 관련된 한국 동해의 해양 환경적 특성을 정량화 하고자 온도차에 대한 연평균, 연진폭, 연위상을 구하고 연중 15$^{\circ}C$이상의 온도차가 유지된는 기간을 일일 단위로 표현하였다. 한국동해 연근 해역 중 온도차 발전의 최적합 해역은 포항 동쪽 35km 해역 (36$^{\circ}$05'N, 129$^{\circ}$48'E)에서 55km 해역 (36$^{\circ}$05'N, 130$^{\circ}$00'E)까지로 조사 연구되었다. 이들 최적합 해역에서는 온도차는 8월의 경우 누년 평균 약 24$^{\circ}C$로 나타났으며, 년 중 15$^{\circ}C$이상의 온도차가 유지되는 기간은 최대 215일 (5/5-12/10)로 나타났다. 아울러 이 해역에서 온도차의 연진폭은 6$^{\circ}C$이며 , 연위상은 236$^{\circ}$로 계획성있는 전력생산을 할수 있을것으로 사료된다. 한국 동해 연근해역에서 표층으로부터 수직으로 최단거리에 존재하는 동해고유수(수온 1$^{\circ}C$이하의 해수)의 수심에 대한 계절변화는 평균 300m를 중심으로 하여 50m 미만의 작은 변동폭을 나타내었다. 향후 이러한 안정된 위치를 나타내는 심층 냉수를 에너지로 전환하기 위한 연구가 수행되어야 할 것으로 판단된다.

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하늘시계지수 비교 및 도시기온 상관성 연구: 강남 선정릉지역을 중심으로 (A Study on a Comparison of Sky View Factors and a Correlation with Air Temperature in the City)

  • 이채연;신이레;안승만
    • 대기
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    • 제27권4호
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    • pp.483-498
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    • 2017
  • Sky view factor can quantify the influence of complex obstructions. This study aims to evaluate the best available SVF method that represents an urban thermal condition with land cover in complex city of Korea and also to quantify a correlation between SVF and mean air temperature; the results are as follows. First, three SVF methods comparison result shows that urban thermal study should consider forest canopy induced effects because the forest canopy test (on/off) on SVF reveals significant difference range (0.8, between maximum value and minimum value) in comparison with the range (0.1~0.3) of SVFs (Fisheye, SOLWEIG and 3DPC) difference. The significance is bigger as a forest cover proportion become larger. Second, R-square between SVF methods and urban local mean air temperature seems more reliable at night than a day. And as the value of SVF increased, it showed a positive slope in summer day and a negative slope in winter night. In the SVF calculation method, Fisheye SVF, which is the observed value, is close to the 3DPC SVF, but the grid-based SWG SVF is higher in correlation with the temperature. However, both urban climate monitoring and model/analysis study need more development because of the different between SVF and mean air temperature correlation results in the summer night period, which imply other major factors such as cooling air by the forest canopy, warming air by anthropogenic heat emitted from fuel oil combustion and so forth.

DESIGN OF A PWR POWER CONTROLLER USING MODEL PREDICTIVE CONTROL OPTIMIZED BY A GENETIC ALGORITHM

  • Na, Man-Gyun;Hwang, In-Joon
    • Nuclear Engineering and Technology
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    • 제38권1호
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    • pp.81-92
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    • 2006
  • In this study, the core dynamics of a PWR reactor is identified online by a recursive least-squares method. Based on the identified reactor model consisting of the control rod position and the core average coolant temperature, the future average coolant temperature is predicted. A model predictive control method is applied to designing an automatic controller for the thermal power control of PWR reactors. The basic concept of the model predictive control is to solve an optimization problem for a finite future at current time and to implement as the current control input only the first optimal control input among the solutions of the finite time steps. At the next time step, this procedure for solving the optimization problem is repeated. The objectives of the proposed model predictive controller are to minimize both the difference between the predicted core coolant temperature and the desired temperature, as well as minimizing the variation of the control rod positions. In addition, the objectives are subject to the maximum and minimum control rod positions as well as the maximum control rod speed. Therefore, a genetic algorithm that is appropriate for the accomplishment of multiple objectives is utilized in order to optimize the model predictive controller. A three-dimensional nuclear reactor analysis code, MASTER that was developed by the Korea Atomic Energy Research Institute (KAERI) , is used to verify the proposed controller for a nuclear reactor. From the results of a numerical simulation that was carried out in order to verify the performance of the proposed controller with a $5\%/min$ ramp increase or decrease of a desired load and a $10\%$ step increase or decrease (which were design requirements), it was found that the nuclear power level controlled by the proposed controller could track the desired power level very well.

Analysis of Surface Water Temperature Fluctuation and Empirical Orthogonal Function in Cheonsu Bay, Korea

  • Hyo-Sang Choo;Jin-Young Lee;Kyeung-Ho Han;Dong-Sun Kim
    • 해양환경안전학회지
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    • 제29권3호
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    • pp.255-269
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    • 2023
  • Surface water temperature of a bay (from the south to the north) increases in spring and summer, but decreases in autumn and winter. Due to shallow water depth, freshwater outflow, and weak current, the water temperature in the central to northern part of the bay is greatly affected by the land coast and air temperature, with large fluctuations. Water temperature variations are large in the north-east coast of the bay, but small in the south-west coast. The difference between water temperature and air temperature is greater in winter and in the south-central part of the bay than that in the north to the eastern coast of the bay where sea dykes are located. As the bay goes from south to north, the range of water temperature fluctuation and the phase show increases. When fresh water is released from the sea dike, the surrounding water temperature decreases and then rises, or rises and then falls. The first mode of empirical orthogonal function (EOF) represents seasonal variation of water temperature. The second mode represents the variability of water temperature gradient in east-west and north-south directions of the bay. In the first mode, the maximum and the minimum are shown in autumn and summer, respectively, consistent with seasonal distribution of surface water temperature variance. In the second mode, phases of the coast of Seosan~Boryeong and the east coast of Anmyeon Island are opposite to each other, bordering the center of the deep bay. Periodic fluctuation of the first mode time coefficient dominates in the one-day and half-day cycle. Its daily fluctuation pattern is similar to air temperature variation. Sea conditions and topographical characteristics excluding air temperature are factors contributing to the variation of the second mode time coefficient.

Effect of precipitation on soil respiration in a temperate broad-leaved forest

  • Jeong, Seok-Hee;Eom, Ji-Young;Park, Joo-Yeon;Chun, Jung-Hwa;Lee, Jae-Seok
    • Journal of Ecology and Environment
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    • 제42권2호
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    • pp.77-84
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    • 2018
  • Background: For understanding and evaluating a more realistic and accurate assessment of ecosystem carbon balance related with environmental change or difference, it is necessary to analyze the various interrelationships between soil respiration and environmental factors. However, the soil temperature is mainly used for gap filling and estimation of soil respiration (Rs) under environmental change. Under the fact that changes in precipitation patterns due to climate change are expected, the effects of soil moisture content (SMC) on soil respiration have not been well studied relative to soil temperature. In this study, we attempt to analyze relationship between precipitation and soil respiration in temperate deciduous broad-leaved forest for 2 years in Gwangneung. Results: The average soil temperature (Ts) measured at a depth of 5 cm during the full study period was $12.0^{\circ}C$. The minimum value for monthly Ts was $-0.4^{\circ}C$ in February 2015 and $2.0^{\circ}C$ in January 2016. The maximum monthly Ts was $23.6^{\circ}C$ in August in both years. In 2015, annual precipitation was 823.4 mm and it was 1003.8 mm in 2016. The amount of precipitation increased by 21.9% in 2016 compared to 2015, but in 2015, it rained for 8 days more than in 2016. In 2015, the pattern of low precipitation was continuously shown, and there was a long dry period as well as a period of concentrated precipitation in 2016. 473.7 mm of precipitation, which accounted for about 51.8% of the precipitation during study period, was concentrated during summer (June to August) in 2016. The maximum values of daily Rs in both years were observed on the day when precipitation of 20 mm or more. From this, the maximum Rs value in 2015 was $784.3mg\;CO_2\;m^{-2}\;h^{-1}$ in July when 26.8 mm of daily precipitation was measured. The maximum was $913.6mg\;CO_2\;m^{-2}\;h^{-1}$ in August in 2016, when 23.8 mm of daily precipitation was measured. Rs on a rainy day was 1.5~1.6 times higher than it without precipitation. Consequently, the annual Rs in 2016 was about 12% higher than it was in 2015. It was shown a result of a 14% increase in summer precipitation from 2015. Conclusions: In this study, it was concluded that the precipitation pattern has a great effect on soil respiration. We confirmed that short-term but intense precipitation suppressed soil respiration due to a rapid increase in soil moisture, while sustained and adequate precipitation activated Rs. In especially, it is very important role on Rs in potential activating period such as summer high temperature season. Therefore, the accuracy of the calculated values by functional equation can be improved by considering the precipitation in addition to the soil temperature applied as the main factor for long-term prediction of soil respiration. In addition to this, we believe that the accuracy can be further improved by introducing an estimation equation based on seasonal temperature and soil moisture.

신개념 머시닝센터의 신뢰성 향상 설계기술 (High Reliability Design for New Concept Machining Center)

  • 이찬홍;김양진
    • 한국정밀공학회지
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    • 제28권8호
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    • pp.894-903
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    • 2011
  • In this paper, the capability index is introduced in order to improve the reliability of new concept machine tools and the method to improve the machine accuracy from the analysis of cutting process, statistical methodology and influence factors are proposed. In addition, the rib structure of bed and column in machine tools is analyzed by using the thermal impact method in order to analogize the rib pattern which has the small thermal deformation under thermal boundary condition. In the analysis of column rib structure, thermal boundary condition is separated to heat conduction and heat transfer to appropriate real boundary condition. Finally, performance chart of bed and column rib structure is provided for designer to estimate each rib pattern and select rib structure appropriating to thermal condition.

태양전지의 전기적인 출력특성이 태양전지모듈에 미치는 영향 (The Effects of PV Cell's Electrical Characteristics for PV Module Application)

  • 김승태;강기환;박지홍;안형근;유권종;한득영
    • 한국태양에너지학회:학술대회논문집
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    • 한국태양에너지학회 2008년도 추계학술발표대회 논문집
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    • pp.36-41
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    • 2008
  • In this paper, we study The Effects of PV Cell's Electrical Characteristics for PV Module Application. Photovoltaic module consists of serially connected solar cell which has low open circuit voltage and high short circuit current characteristics. The whole current flow of PV module is restricted by lowest current of one solar cell. For the experiment, we make PV module composing the solar cells that have short circuit current difference of 0%, 1%, 3% and Random. The PV module exposed about 35days, its the maximum power drop ratio was 4.282% minimum and 6.657% maximum. And PV module of low current characteristics has electrical stress from other modules. The solar cell temperature of PV module was higher compared to PV cell. To prevent early degradation, it is need to have attention to PV cell selection.

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유전자 알고리즘에 의해 최적화된 모델예측제어를 이용한 PWR 출력제어기 (A Pressurized Water Reactor Power Controller Using Model Predictive Control Optimized by a Genetic Algorithm)

  • 나만균;황인준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.104-106
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    • 2005
  • In this work, a PWR reactor core dynamics is identified online by a recursive least squares method. Based on this identified reactor model consisting of the control rod position and the core average coolant temperature, the future average coolant temperature is predicted. A model predictive control method is applied to design an automatic controller for thermal power control in PWRs. The basic concept of the model predictive control is to solve an optimization problem for a finite future at current time and to implement as the current control input only the first optimal control input among the solutions of the finite time steps. At the next time step, the procedure to solve the optimization problem is then repeated. The objectives of the proposed model predictive controller are to minimize both the difference between the predicted core coolant temperature and the desired one, and the variation of the control rod positions. Also, the objectives are subject to maximum and minimum control rod positions and maximum control rod speed. Therefore, the genetic algorithm that is appropriate to accomplish multiple objectives is used to optimize the model predictive controller. A 3-dimensional nuclear reactor analysis code, MASTER that was developed by Korea Atomic Energy Research Institute (KAERI), is used to verify the proposed controller for a nuclear reactor. From results of numerical simulation to check the performance of the proposed controller at the 5%/min ramp increase or decrease of a desired load and its 10% step increase or decrease which are design requirements, it was found that the nuclear power level controlled by the proposed controller could track the desired power level very well.

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단열 다심관의 열전달 특성에 관한 연구 (A Study on the Heat Transfer Characteristic of Insulated Multi Core Tube)

  • 박상균;이태호;김명준
    • Journal of Advanced Marine Engineering and Technology
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    • 제39권6호
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    • pp.604-608
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    • 2015
  • 본 연구에서는 다심관(Multi Core Tube)에 단열재로 글라스울(Glass wool)을 사용한 단열 다심관(Insulated Multi Core Tube)의 열전달 특성에 관하여 검토하였다. 제작된 단열 다심관에 대하여 외기온도, 유압 오일 공급온도, 유압 오일 공급유량에 따른 단열 다심관 내부의 유압 오일의 온도특성에 관하여 실험 및 모델링을 통하여 검토하였다. 그 결과 본 연구의 범위 내에서 최소 유압 오일 공급유량인 0.29(l/min)인 경우 실험결과와 수치해석 결과의 온도차이가 최대 약 $3^{\circ}C$정도 발생하였다. 외기온도가 일정한 경우 유압 오일 공급온도가 높을수록 유압 오일의 공급유량에 관계없이 유압 오일 출구온도가 높아지고, 유압 오일 공급유량이 1.01(l/min)이상일 경우에는 유압 오일의 온도강하에 외기온도의 영향이 적음을 알 수 있었다.

물혼합에 의한 메탄-공기 예혼합기의 연소(4) - 연소가스분석- (Combustion in Methane-Air Pre-Mixture with Water Vapor -Burned Gas Analysis-)

  • 권순익;김상진
    • 한국산업융합학회 논문집
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    • 제16권1호
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    • pp.21-26
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    • 2013
  • Burned gas of methane-air mixtures with water vapor have been analysed to study the exhaust emission using gas-chromatography and computation. The computations were carried out for the gas analysis using premix code of Chemkin program to compare the experimental results. The quantity of water vapor contained were changed 5% and 10% of total mixtures, and equivalence ratio of mixtures between 0.6 and 1.2 were tested under the ambient temperature 323K and 373K. The results showed CO, $CO_2$ decreased and $H_2$ increased by increasing the water contents. The CO increased and $CO_2$ decreased by increasing the ambient temperature. The $CO_2$ shows the maximum product at equivalence ratio 1.0, in otherwise the $CH_4$ produced the minimum values in the same range. The results showed little difference between these two methods.