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      • 온실(溫室)의 난방(暖房) Degree Hour 분석(分析)

        이석건 ( Lee Suk Gun ) 한국농공학회 1985 韓國農工學會誌 : 전원과 자원 Vol.27 No.3

        This study was attempted to analyze the heating degree hour for predicting the fuel consumption of greenhouse heating. The greenhouse heating degree hours were calculated by Mihara’s equation using the weather data during the 10 years (1973-1982) at 24 locations in Korea. The obtained results were summarzied as follows: 1. Monthly mean and distribution rate of the greenhouse heating degree hours in 24 locations were shown as Appendix 1 and Appendix 2. The longest value of the monthly greenhouse heating degree hour appeared in January and it was 20-39% of total value per year. 2. When the range of design inside temperature were 5°C-20°C, the longest value of yearly greenhouse heating degree hour appeared at Chuncheon and it was 17,400-72,600°c hr. And, Seogwipo had the shortest value and it was 450-38,820°c hr. 3. It was possible to derive approximate formula of heating degree hour which was presented as HDH=3.279 (T<sub>d</sub>-T<sub>l</sub>)<sup>1.527</sup> for the mean of 24 locations. And, the coefficients of the formula for some locations were calculated. 4. The heating degree hour maps in Korea were shown in Fig.4-Fig.7. It could be recommended that Jeju do and south seaside areas were more profitable for green, house culture than the other areas considering energy consumption for heating.

      • KCI등재
      • 재배작물별 단동비닐하우스의 안전풍속 및 적설심 분석

        이석건 ( Lee Suk-gun ),이종원 ( Lee Jong-won ),이현우 ( Lee Hyun-woo ) 한국농공학회 2004 한국농공학회 학술대회초록집 Vol.2004 No.-

        2002년말 기준으로 국내 원예시설 설치면적인 51.873ha의 85%에 해당하는 44,263ha가 비가림 시설을 포함한 단동비닐하우스이다. 이러한 단동비닐하우스의 기상재해로 인한 피해를 경감시킬 수 있는 모델 개발에 필요한 기초자료를 제공하고자 재배작물별로 대표적인 온실규격를 선정하여 안전풍속과 적설심을 구한 후 재현기간 8년에 해당하는 지역별의 설계풍속 및 적설심과 비교하여 온실의 구조 안전성올 분석한 결과를 요약하면 다음과 같다. 재배작물별 대표온실에 단위풍하중과 적설하중을 적용한 결과, 풍하중시 최대 단면력은 과채류, 근채류, 엽채류 온실 순으로 크게 나타났으며 안전풍속은 17.7m/s(엽채류), 20.2m/s(과채류) 및 22.3m/s(근채류)로 나타나 지역별 8년 빈도의 설계풍속과 비교하였을 때 홍천, 이천, 성주지역을 제외하고는 대부분의 지역에 있어서 온실구조가 불안전한 것으로 나타났다. 그리고, 적설하중시 근채류 온실의 최대 단면력이 가장 크게 나타났으며 안전적설심은 8.8cm(엽채류), 9.4cm(과채류) 및 11.8cm(근채류)로 나타났다. 이러한 결과를 지역별 8년 빈도의 설계적설심과 비교하였을 때 경남지역 일부를 제외하고는 대부분의 지역에 있어서 온실구조가 불안전한 것으로 분석되었다. 또한 재배작물별 대표 온실의 안전풍속과 적설심에 대한 최대 인발력은 12.7~15.1kgf/개소, 최대 연직 하중은 20.6~21.7kgf/개소로 나타나 기초는 안전한 것으로 분석되었으나 안전풍속과 안전적설심이 매우 작기 때문에 폭설이나 강풍에 대비한 보강이 필요한 것으로 나타났다. 따라서, 온실 구조의 안전성을 향상시키기 위해서는 서까래 간격을 감소시키거나 부재의 단면 치수를 증가시키는 등의 보강대책이 필요한 것으로 나타났으며, 보강대책에 대한 추가적인 연구가 필요할 것으로 판단된다. The objectives of this research is supplying basic data to develop greenhouse model which can reduce damage of single-span greenhouse by strong wind and heavy snow. Decided standard of representative greenhouse of single-span plastic greenhouse that is occupying the most areas of horticultural facilities that is installed in domestic by growing crops. And/ calculated safety wind speed of representative greenhouse, and compare calculation result with design wind speed and snow depth of frequency return period 8 years by regions and analyze structural safety of greenhouse. Apply unit wind and snow load to representative greenhouse by growing crops and achieved structural analysis. By the results, Maximum section force about each case of wind and snow load showed most greatly leaf and root vegetables, and each safety wind speed of greenhouse by growing crops were 17.7m/s(leaf vegetables), 20.2m/s(fruit vegetables), 22.3m/s(leaf vegetables), and representative greenhouses were not safe about wind load in regions except Hongcheon, lcheon and Sungju, and each safety snow depth of greenhouse by growing crops were 8.8cm(leaf vegetables)/ 9.4cm(fruit vegetables), 11.8cm(leaf vegetables), and when compared with safety snow depth with design snow depth, greenhouses were not safe in snow load. Therefore, need reinforcement countermeasure of that reduce interval of rafter or increase section size of pipes to improve safety of greenhouse structure, and is judged that additional research need.

      • 지역별 단동비닐하우스 자동설계프로그램 개발

        이석건 ( Lee Suk Gun ),이종원 ( Lee Jong Won ),이현우 ( Lee Hyun Woo ) 한국농공학회 2003 한국농공학회 학술대회초록집 Vol.2003 No.-

        The objectives of this study are to develope the automatic design programs to offer the data when constructing a small scale vinyl-house by region. This program consists of four subroutines. The first is an automatic greenhouse modeling program, the second is a calculating design load program by region, the third is a structural analysis program and the last is a optimum shape design program. The structural analysis can be conducted by simple date input and conSidering the design load of the install regions into account. The shape of input data is very simple, and the program reflects the design load by region. The output data can be obtained from the automatical calculation processing after structural analysis. The program was verified by compared with outputs of a common use structural analysis program and the results are the same. It was concluded that the developed program could be used efficiently in optimum design of small scale vinyl house.

      • 생물생산시설 설계용 기상자료 분석

        이석건 ( Lee Suk-gun ),이종원 ( Lee Jong-won ),이현우 ( Lee Hyun-woo ) 한국농공학회 2005 한국농공학회 학술대회초록집 Vol.2005 No.-

        This study was attempted to provide some fundamental data for safety structrural design of biological production facility. Wind load and snow load, acting on agricultural structures is working more sensitive than any other load. Therefore, wind speed and snow depth according to return periods for design load estimation were calculated by frequency analysis using the weather data(maximum instantaneous wind speed, maximum wind speed, maximum depth of snow cover and fall) of 68 regions in Korea. Equations for estimating maximum instantaneous wind speed with maximum wind speed were developed for all, inland and seaside regions. The results were about the same as the current eqution in general. Design wind speed and snow depth according to return periods were calculated and Local design wind load and snow load depending on return periods were presented together with iso-wind speed and iso-snow depth maps. The calculated design snow depth by maximum depth of snow cover were higher than design snow depth by maximum depth of snow fall. Considering wind speed and snow depth, protected cultivation is very difficult in Ullungdo, Gangwon seaside and contiguity inland regions, and strong structural design is needed in the west-south seaside against wind speed, and structure design of biological production facility in these regions need special consideration.

      • 용인지역 저온양봉사의 환경조절성능 분석

        이석건 ( Lee Suk Gun ),김란숙 ( Jin Lan Shu ),이현우 ( Lee Hyun Woo ),이종원 ( Lee Jong Won ) 한국농공학회 2000 한국농공학회 학술대회초록집 Vol.2000 No.-

        The wintering honey bee chambers were constructed and inside environment factors were analyzed to provide high technology for efficient wintering of honeybee colonies. As a result of this study, inside air temperature of yongin chamber under the wide range of outside temperature condition was found to be appropriated for wintering of bee, and inside temperature of beehive was about 2℃ higher than the air temperature in the chamber. The fan operation schedule did not control the high temperature down properly in the chamber, It was necessary to find a new fan operation schedule to be able to provide the optimum temperature for wintering honey bee colonies. inside humidity variation of Yongin chamber was very much depended on outside humidity.

      • Thermo-tracer를 이용한 온실의 열환경 분석

        이석건 ( Lee Suk Gun ),이종원 ( Lee Jong Won ),이현우 ( Lee Huun Woo ),김란숙 ( Jin Lan Shu ) 한국농공학회 1998 한국농공학회 학술대회초록집 Vol.1998 No.-

        Thermal environment of greenhouse was investigated by thermo-tracer in this study. The Thermo-tracer is a high-sensitivity infrared thermometer of non-contact type. The infrared energy emitted from the measured object is converted into an electrical signal by the detector(HgCdTe) and display as a color or black & white thermal image by way of optical scanning, The experiment was conducted for Venlo-type greenhouse with pad & fan system. The temperature difference between measured by Thermo-trace and measured by HOBO sensor is maximum 0.8℃. Thermo-trace is possible to use for the thermal environment analysis and diagnosis of a cooling and heating system of greenhouse.

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