• Title/Summary/Keyword: 냉방부하율

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Empirical Analysis on the Cooling Load and Evaporation Efficiency of Fogging System in Greenhouses (온실의 냉방부하 및 포그시스템의 증발효율 실험분석)

  • Nam, Sang-Woon;Seo, Dong-Uk;Shin, Hyun-Ho
    • Journal of Bio-Environment Control
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    • v.24 no.3
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    • pp.147-152
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    • 2015
  • In order to develop the cooling load estimation method in the greenhouse, the cooling load calculation formula based on the heat balance method was constructed and verified by the actual cooling load measured in the fog cooling greenhouse. To examine the ventilation heat transfer in the cooling load calculation formula, we measured ventilation rates in the experimental greenhouse which a cooling system was not operated. The ventilation heat transfer by a heat balance method showed a relatively good agreement. Evaporation efficiencies of the two-fluid fogging system were a range of 0.3 to 0.94, average 0.67, and it showed that they increased as the ventilation rate increased. We measured thermal environments in a fog cooling greenhouse, and calculated cooling load by heat balance equation. Also we calculated evaporative cooling energy by measuring the sprayed amount in the fogging system. And by comparing those two results, we could verify that the calculated and the measured cooling load showed a relatively similar trend. When the cooling load was low, the measured value was slightly larger than calculated, when the cooling load was high, it has been found to be smaller than calculated. In designing the greenhouse cooling system, the capacity of cooling equipment is determined by the maximum cooling load. We have to consider the safety factor when installed capacity is estimated, so a cooling load calculation method presented in this study could be applied to the greenhouse environmental design.

실시간 부하예측 기술을 이용한 빙축열 냉방시스템의 최적제어

  • 한도영
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.29 no.2
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    • pp.25-31
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    • 2000
  • 최근 경제성장과 생활수준의 향상으로 냉방기기의 설치가 보편화되면서 하절기 냉방부하 증가에 따른 전력 에너지 공급상의 위기를 맞고 있다. 이와 같은 문제점을 해결하기 위하여 한국전력공사에서는 심야 전력 공급 시간에 냉동기를 가동하여, 얼음의 형태로 냉열을 저장하였다가 주간 냉방에 활용하는 빙축열 냉방 시스템을 보급 하여 주간전력 사용을 우회시키는 방법으로 전력수급의 안정화에 기여하고 예비율을 높이려는 노력을 하고 있다. 이러한 빙축열 냉방 시스템을 좀더 효율적으로 사용하기 위해서는 빙축열 냉방 시스템에 대한 연구가 필요하며 특히 빙축열 부하예측 기술과 시스템 최적제어 기술의 개발은 최대순간 요구부하의 개선은 물론 시스템의 성능향상과 에너지 소비감소에도 효과적으로 쓰일 수 있다. 따라서 본고에서는 야간에 빙축조에 저장시킨 축열만으로 주간의 냉방부하를 감당하게 하는 전부하 축열 방식을 선택하여 시스템 각 구성요소의 동적현상을 고려한 효과적인 수학적 모텔을 제시하고 이를 사용하여 빙축열 냉방시스탱의 최적제어 알고리즘을 개발하고 시뮬레이션을 통해 그 효율성을 확인하는 것을 목적으로 한다.

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Flow Control of a Centralized Cooling Plant for Energy Saving (중앙식 냉방 플랜트의 유량제어를 통한 에너지 절감에 관한 연구)

  • Lee, Jeong Nam;Kim, Young Il;Chung, Kwang Seop
    • Journal of Energy Engineering
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    • v.24 no.3
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    • pp.48-54
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    • 2015
  • In a centralized cooling plant, precise mechanical design and control strategy are required for peak and partial cooling load management. Otherwise, it will lead to low efficiency of cooling system and energy loss due to low partial load efficiency. The purpose of this paper is to enhance energy performance of the centralized cooling plant by controlling flow system in an industrial building using measured data and energy performance simulation program. The simulation results show that the proposed flow control can cut down annual electric power consumption by about 17% compared with the conventional cooling system.

A Study for Intelligent Load Management based on Queueing System Theory (큐잉 시스템기반 에어컨 지능 부하관리에 관한 연구)

  • Lee, Seung-Chul;Kim, Seok-Hyun;Kim, Seung-Jin;Han, Seung-Woo;Park, Chan-Eom
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.235_236
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    • 2009
  • 본 논문은 전력회사와 수용가가 실시간으로 상호 협력하면 서 여름철 냉방부하를 효율적으로 관리하여 첨두부하를 저감하기 위한 기법에 대하여 기술한다. 전력회사가 필요 관리량을 수용가 측에 요청하면 부하관리 요청을 받은 수용가, 예를 들면 대규모 아파트 단지의 중앙 지능관리 서버가 자율적인 관리를 통하여 요구받은 관리전력 이내로 부하율을 조정하도록 한다. CIMS는 관리전력량에 따라 냉방기를 가동할 수 있는 권리에 해당하는 적정 수의 토큰(Token)을 발행하고 각 세대내의 냉방기를 제어할 수 있는 다수의 로컬 지능관리 서버들이 각 상황에 따라 냉방기를 가동하기 원할 경우에 전체 관리 서버에게 냉방기를 가동할 수 있는 권리에 해당하는 토큰을 요청하도록 한다. 제안하는 관리 기법을 기초로 서울의 한 아파트단지의 여름철 전력수요 데이터를 예로 하여 예상되는 대기 시간과 지원 받을 수 있는 전력요금 규모를 산정해 보았으며 비교적 적은 수용가의 불편으로 큰 부하관리 효과를 얻을 수 있는 것을 알 수 있었다.

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Comparative Studies on Heating and Cooling Loads' of a Building Varied by Annual Weather Data (연도별 기상데이터를 활용한 건물의 냉.난방부하 특성 비교)

  • Lee, Ji-Hoon;Hwang, Kwang-Il
    • Journal of Navigation and Port Research
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    • v.35 no.3
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    • pp.265-270
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    • 2011
  • The purpose of this study is to compare and analyze the differences of a building's heating and cooling loads depending on the weather variation. Followings are the results. The temperature, humidity and wind speeds of standard year are bigger than those of 2006~2009. The 2006~2009's total horizontal solar irradiance is greater than that of standard year, and the direct solar irradiance of standard year is bigger in winter and vice versa in summer. As results of simulation on heating and cooling loads, it is difficult to find out the bilateral influences between maximum thermal loads and annual's. The equivalent-time operating ratio(EOR) is defined on this study to estimate the differences between year and year, and the EOR of standard year shows low value comparing to 2006~2009 years'.

A Study of Autonomous Intelligent Load Management System Based on Queueing Model (큐잉모델에 기초한 자율 지능 부하 관리 시스템 연구)

  • Lee, Seung-Chul;Hong, Chang-Ho;Kim, Kyung-Dong;Lee, In-Yong;Park, Chan-Eom
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.2
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    • pp.134-141
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    • 2008
  • This paper presents an innovative load management technique that can effectively lower the summer peak load by adjusting the aircondition loads through smoothe coordinations between utility companies and large customers. An intelligent hierarchical load management system composed of a Central Intelligent Load Management System(CIMS) and multiple Local Intelligent Management Systems(LIMS) is also proposed to implement the reposed technique. Upon receiving a load curtailment request from the utilities, CIMS issues tokens, which can be used by each LIMS as a right to turn on the airconditioner. CIMS creates and maintains a queue for fair allocation of the tokens among the LIMS demanding tokens. By adjusting the number tokens and queue management Policies, desired load factors can be achieved conveniently. The Markov Birth and Death Process and the Balance Equations are employed in estimating various queue performances. The proposed technique is tested using a summer load data of a large apartment complex and proved to be quite effective in load management while minimizing the customer inconveniences.

The study for relation between distribution of industrial cold storage system and power load leveling (산업용 축냉기기 보급과 전력 부하평준화의 연계성분석)

  • Yang, Seung-Kwon
    • Proceedings of the KIEE Conference
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    • 2005.07a
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    • pp.786-788
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    • 2005
  • 전력 부하관리기기인 축냉시스템은 그동안 건물 냉방 공조용을 중심으로 보급되었다. 기저부하를 증진시키고 주간의 피크부하를 낮추어 주야간의 부하불균형을 해소하는 축냉시스템은 그동안 전력부하율 향상 및 부하평준화에 많이 기여해왔다. 산업용으로의 축냉기기보급의 타당성 및 부하평준화에 관한 연구시행 결과, 그 타당성과 보급확대의 필요성이 확인 되었다. 가스식 냉방기는 피크억제측면에서, 축냉식은 부하이전 측면에서 장점이 매우 크며, 전체 부하관리 측면에서 이들의 균형보급발전 노력이 필요하다. 산업용으로의 축냉기기 보급은 특히 주야간 부하불균형이 심한 하계의 부하평준화효과가 크며, 그 보급시장 및 전력절감 잠재량 규모를 감안할 때 국가적 편익과 추가 발전설비건설억제에 크게 기여할 것으로 예상된다.

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A Study on Setting Base Line Load of Price-based Load Management (부하관리 요금제도에서의 기준부하 설정에 관한 연구)

  • Won, Jong-Ryul;Kim, Jung-Hoon
    • Proceedings of the KIEE Conference
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    • 2008.11a
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    • pp.357-359
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    • 2008
  • 부하관리는 여름 하계시 냉방부하의 집중으로 인해 나타나는 피크발전설비의 확대를 막고 부하의 평준화를 통해 부하율을 향상시켜 발전효율을 향상하고자 하는 것이다. 이러한 부하관리제도는 크게 두 부분으로 나누어서 요금제도와 부하관리기기 지원제도로 나누어진다. 이 중에서 요금제도는 자율절전 하계휴가보수 지원제도가 있다. 본 논문에서는 이러한 필요성에 따라 부하관리요금제도에서 지원금 산정 및 절감효과 산정의 기준이 되는 기준부하산정에 대한 표준화 방안 수립에 대한 결과만을 수록하고자 한다.

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Effect of Design Value Selection on Heating and Cooling Load Calculation in Greenhouses (설계 변수 선택이 온실의 냉난방부하 산정에 미치는 영향)

  • Nam, Sang-Woon;Shin, Hyun-Ho
    • Journal of Bio-Environment Control
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    • v.27 no.4
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    • pp.277-284
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    • 2018
  • For the main variables to be selected by the designer for the heating and cooling load calculation in greenhouses, in order to evaluate the effect of these design values on the heating and cooling load, the simulations were carried out by varying the respective design values. Based on these results, we proposed the design values which should pay special attention to selection. The design values which have the greatest effect on the heating load were the overall heat transfer coefficient of the covering material and the design outdoor temperature was next. The effect of the design values according to the number of spans showed little difference. In the case of the single-span greenhouse, the effect of the design values related to the underground heat transfer can not be ignored. However, in the case of the multi-span greenhouse, the effect of the design values related to the underground heat transfer and the infiltration rate were insignificant. The design values which have the greatest effect on the cooling load were the solar radiation into the greenhouse and the evapotranspiration coefficient, followed by the indoor and outdoor temperature difference and the ventilation rate. The effect of the design values showed a great difference between the single-span greenhouse and the multi-span greenhouse, but there was almost no difference according to the number of spans. The effect of the overall heat transfer coefficient of the covering material was negligible in both the single-span greenhouse and the multi-span greenhouse. However, the effect of the indoor and outdoor temperature difference and the ventilation rate on the cooling load was not negligible. Especially, it is considered that the effect is larger in multi-span greenhouse.

A Study on the Heating and Cooling Energy Load Analysis of the KNU Plant Factory (KNU 식물공장의 냉난방 에너지 부하 해석에 관한 연구)

  • Lee, Chan-Kyu;Kim, Woo-Tae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.4
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    • pp.1419-1426
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    • 2012
  • The heating and cooling energy load of the KNU plant factory was analyzed using the DesignBuilder. Indoor temperature set-point, LED supplemental lighting schedule, LED heat gain, and type of double skin window were selected as simulation parameters. For the cases without LED supplemental lighting, the proper growth temperature of lettuce $20^{\circ}C$ was selected as indoor temperature set-point together with $15^{\circ}C$ and $25^{\circ}C$. The annual heating and cooling loads which are required to maintain a constant indoor temperature were calculated for all the given temperatures. The cooling load was highest for $15^{\circ}C$ and heating load was highest for $25^{\circ}C$. For the cases with LED supplemental lighting, the heating load was decreased and the cooling load was 6 times higher than the case without LED. In addition, night time lighting schedule gave better result as compared to day time lighting schedule. To investigate the effect of window type on annual energy load, 5 different double skin window types were selected. As the U-value of double skin window decreases, the heating load decreases and the cooling load increases. To optimize the total energy consumption in the plant factory, it is required to set a proper indoor temperature for the selected plantation crop, to select a suitable window type depending on LED heat gain, and to apply passive and active energy saving technology.