• 제목/요약/키워드: Cold Chain

검색결과 212건 처리시간 0.029초

잠열물질을 이용한 열저장 기술에 관한 연구 (Study of Thermal Storage Technology using Phase Change Material)

  • 김정열;정동열;박동호;백종현
    • 융복합기술연구소 논문집
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    • 제2권1호
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    • pp.1-6
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    • 2012
  • The cold chain system in South-East Asia is requiring to maintain freshness of refrigerated or frozen food. In this study, Thermal storage system using Phase change material (PCM) was developed and evaluated its performance about temperature and cold keeping time. For various application of cold chain system, we developed portable cold box, cold roll container and freezing station. Keeping time on laboratory tests of portable cold box in case of refrigeration and freezing were 6 hours and 4 hours, respectively. Cold container was developed to 2.5 ton scale. Evaluation in Indonesia, it was showed to keep the setting temperature of $-10^{\circ}C$ over 40 hours at $30^{\circ}C$ of ambient air. Freezing station using PCM was kept over 24 hours under $-20^{\circ}C$.

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수도권 콜드체인 클러스터 경쟁력 평가에 관한 연구 (An Evaluation of Cold Chain Cluster Competitiveness in the Metropolitan Area)

  • 안길섭;박성훈;이해찬;여기태
    • 디지털융복합연구
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    • 제18권10호
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    • pp.181-194
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    • 2020
  • 유통시장의 변화에 따라 농·수·축산물의 보관과 유통 그리고 가공식품 및 신선식품의 보관과 운송에 대한 이슈가 급부상하고 있으며, 이에 따라 콜드체인이 물류 서비스의 한축으로 자연스럽게 주목을 받고 있다. 본 연구는 최근 들어 활기를 띠고 있는 냉동냉장 식품 등 콜드체인 유통과 관련하여 관심을 끌고 있는 수도권 지역 콜드체인 클러스터 구축에 대한 입지 경쟁력 평가를 목적으로 한다. 이를 위해 본 연구는 전문가의 지식을 효율적으로 추출하여 계량화할 수 있는 CFPR(Consistent Fuzzy Preference Relations) 분석기법을 활용하여 수도권 콜드체인 클러스터 후보지에 대한 경쟁력을 평가하였다. 연구 결과, 입지 경쟁력은 인천신항 배후부지, 경기 남부권(용인), 경기 서부권(김포 물류단지), 평택오성물류단지 순으로 우수한 것으로 나타났다. 특히 본 연구는 냉동·냉장 물류창고 운영 전문가의 지식을 추출하여, 수도권 콜드체인 클러스터 후보지에 대한 세부적인 경쟁력 평가를 실시하고, 최적의 클러스터 후보지를 제시하였다는 점에서 기존 연구들과 차별성을 가진다. 향후 연구에서는 설문 대상을 신선식품 물류센터의 소유권을 확보하기 위한 구매 및 구축 결정권을 가진 기업경영자, 대기업군, 공공기업 군 등으로 구분하여 조사할 필요가 있다.

Customized Model of Cold Chain Logistics Considering Hypergeometric Distribution

  • 진성;추룬수크 아누다리;장준호
    • 한국산업정보학회논문지
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    • 제26권5호
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    • pp.37-54
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    • 2021
  • In this study, a customized model (CM) for the efficient operation of cold chain logistics considering the hypergeometric distribution is proposed. The CM focuses on the segmentation market of ready-to-eat foods and juices made from fresh materials. Companies should determine the amount of production by predicting consumer preferences and quantity to ensure high-efficiency production. The CM is represented as a mathematical formulation and implemented using the genetic algorithm (GA). Addition, the relative weights of CM are calculated. Further, the calculated weights are applied to the GA. In the numerical experiment, hypergeometric distribution is used to calculate the relative weights between the range of production quantities and the customized amount. Experiment results are the values of relative weights and the comparison results by average values of handling cost, total cost and CPU time. Finally, the significance of this study is summarized and a future research direction is remarked in conclusion.

Operation of Smart Refrigeration Logistics Center based on Cold Chain System

  • Cho, Gyu-Sung
    • Journal of Multimedia Information System
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    • 제5권4호
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    • pp.229-234
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    • 2018
  • This paper focuses on the frozen storage warehouse located in Busan area, and it is because Busan is the most dense area in Korea. Busan is a port city, and almost all of the frozen refrigerated cargo imported from abroad is concentrated. By taking advantage of its strength as a fishery industry as well as importing, Busan is building the largest international fishery logistics base in Northeast Asia and plays an important role in the export of refrigerated cargo is. Therefore, although the freezing and chilling facilities seem to be developed with the latest technology, the reality is not so. Most of them are functioning as a warehouse, that is, a storage function, and a considerable number of refrigerated warehouses are in a state of aging. Therefore, in this paper, the facility and function restructuring of the freezing storage warehouse have been set as a solution task, and the introduction of the cold chain system containing the latest smart technology has been proposed as a solution.

Smart Cold Chain을 위한 이동 컨테이너 관리 기법 연구 (Study on Mobile Container Management for Smart Cold Chain)

  • 박진희;김영찬
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(D)
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    • pp.393-396
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    • 2010
  • 웰빙문화의 확산으로 안전한 식자재에 대한 소비자의 욕구가 대두되면서 온도와 습도 등의 환경 인자에 민감한 식자재, 의약품, 혈액 등의 물류 유통 상의 신선하고 안전한 환경을 제공할 수 있도록 냉동/냉장 이동 컨테이너 안의 온도와 습도 등의 환경 상태 등을 관리하기 위한 센서 네트워크를 적용한 냉동/냉장 컨테이너의 관리 기법을 연구한다.

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LNG 냉열을 활용한 인천항 냉동·냉장 클러스터 입주요인 분석 및 활성화 방안 연구 (An analysis of the Factors of Moving in and Activation Strategies for Incheon Cold-Chain Cluster using LNG cold energy)

  • 안길섭;오재균;양태현;여기태
    • 디지털융복합연구
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    • 제17권2호
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    • pp.101-111
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    • 2019
  • 냉동 냉장창고의 집적단지인 '콜드체인 클러스터' 구축이 물류업계의 현안으로 급부상하고 있다. 인천항만공사는 한국가스공사와 협력하여 송도 LNG 인수기지에서 발생하는 냉열 에너지를 이용한 냉동 냉장 클러스터를 구축하기 위한 사업을 진행 중에 있다. 본 연구에서는 CFPR 방법론을 활용하여 냉동 냉장 클러스터 활성화 방안을 제시하는 것을 연구의 목적으로 한다. 분석결과, 상위요인에서는 안정성과 수익성 요인이 0.281로 가장 중요시 되는 요인으로 파악되었다. 세부요인으로는 지속가능한 물동량 확보가 가장 높게 나타났고, 임대료 수준, LNG 냉열 활용기술의 지속 가능성과 일반 냉동 냉장창고와의 경쟁, 시설 중복투자 배제 등의 순으로 중요도가 평가 되었다. 향후 연구에서는 활성화 요인을 활용하여 국내 지역별 냉동냉장클러스터를 평가할 필요가 있다.

Experimental study on the cryogenic thermal storage unit (TSU) below -70 ℃

  • Byeongchang Byeon;Kyoung Joong Kim;Sangkwon Jeong;Dong min Kim;Mo Se Kim;Gi Dock Kim;Jung Hun Kim;Sang Yoon Lee;Seong Woo Lee;Keun Tae Lee
    • 한국초전도ㆍ저온공학회논문지
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    • 제26권1호
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    • pp.20-24
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    • 2024
  • Over the past four years, as the COVID-19 pandemic has struck the world, cold chain of COVID-19 vaccination has become a hot topic. In order to overcome the pandemic situation, it is necessary to establish a cold chain that maintains a low-temperature environment below approximately 203K (-70℃), which is the appropriate storage temperature for vaccines, from vaccine suppliers to local hospitals. Usually, cryocoolers are used to maintain low temperatures, but it is difficult for small-scale local distribution to have cryocooler due to budget and power supply issues. Accordingly, in this paper, a cryogenic TSU (Thermal storage unit) system for vaccination cold chain is designed that can maintain low temperatures below -70℃C for a long time without using a cryocooler. The performance of the TSU system according to the energy storage material for using as TSU is experimentally evaluated. In the experiments, four types of cold storage materials were used: 20% DMSO aqueous solution, 30% DMSO aqueous solution, paraffin wax, and tofu. Prior to the experiment, the specific heat of the cold storage materials at low temperature were measured. Through this, the thermal diffusivity of the materials was calculated, and paraffin wax had the lowest value. As a result of the TSU system's low-temperature maintenance test, paraffin wax showed the best low-temperature maintenance performance. And it recorded a low-temperature maintenance time that was about 24% longer than other materials. As a result of analyzing the temperature trend by location within the TSU system, it was observed that heat intrusion from the outside was not well transmitted to the low temperature area due to the low thermal conductivity of paraffin wax. Therefore, in the TSU system for vaccine storage, it was experimentally verified that the lower the thermal diffusivity of the cold storage material, the better low temperature maintenance performance.

PNU CGCM-WRF Chain을 이용한 남한지역 벼의 생육단계별 고온해 및 저온해 발생일수에 대한 예측성 연구 (A Study on the Predictability of the Number of Days of Heat and Cold Damages by Growth Stages of Rice Using PNU CGCM-WRF Chain in South Korea)

  • 김영현;최명주;심교문;허지나;조세라;안중배
    • 대기
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    • 제31권5호
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    • pp.577-592
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    • 2021
  • This study evaluates the predictability of the number of days of heat and cold damages by growth stages of rice in South Korea using the hindcast data (1986~2020) produced by Pusan National University Coupled General Circulation Model-Weather Research and Forecasting (PNU CGCM-WRF) model chain. The predictability is accessed in terms of Root Mean Square Error (RMSE), Normalized Standardized Deviations (NSD), Hit Rate (HR) and Heidke Skill Score (HSS). For the purpose, the model predictability to produce the daily maximum and minimum temperatures, which are the variables used to define heat and cold damages for rice, are evaluated first. The result shows that most of the predictions starting the initial conditions from January to May (01RUN to 05RUN) have reasonable predictability, although it varies to some extent depending on the month at which integration starts. In particular, the ensemble average of 01RUN to 05RUN with equal weighting (ENS) has more reasonable predictability (RMSE is in the range of 1.2~2.6℃ and NSD is about 1.0) than individual RUNs. Accordingly, the regional patterns and characteristics of the predicted damages for rice due to excessive high- and low-temperatures are well captured by the model chain when compared with observation, particularly in regions where the damages occur frequently, in spite that hindcasted data somewhat overestimate the damages in terms of number of occurrence days. In ENS, the HR and HSS for heat (cold) damages in rice is in the ranges of 0.44~0.84 and 0.05~0.13 (0.58~0.81 and -0.01~0.10) by growth stage. Overall, it is concluded that the PNU CGCM-WRF chain of 01RUN~05RUN and ENS has reasonable capability to predict the heat and cold damages for rice in South Korea.