• 한국도로학회논문집
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• 제11권4호
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• pp.49-58
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• 2009

현행 우리나라의 일조규정은 공동주택 및 일반 건축물을 중심으로 되어있기 때문에 도로 및 고가 구조물의 특성을 충분히 반영하지 못하고 있다. 또한, 공동주택간의 인동간격 및 인동간격이 미치는 다양한 영향에 대한 연구는 많이 이루어지고 있으나, 도로 및 고가 구조물과 주거지역과의 이격거리 및 구조물에 의해 발생되는 일조장애들의 환경적인 요소와 그에 따른 인자에 관한 연구는 미비하다. 따라서 본 연구에서는 도로 및 고가 구조물 중 주거지역과 인접해 있는 고가구조물을 중심으로 일조환경을 검토하여, 현재 사용되는 이격거리의 적정성 여부를 검토해보고, 구조물의 방위각에 따른 방향별 특성을 분석하였다. 구조물의 특성에 따른 일영거리를 통해 높이에 따른 이격거리비율을 산정하여, 향후 건설시 발생되는 일조장애를 최소화 하기위하여 구조물에 관한 제도 정비의 필요성과 최소 이격거리산정에 필요한 기초자료를 제시하는데 주목적을 두었다.

• 한국연초학회지
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• 제26권2호
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• pp.93-101
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• 2004

This study was conducted to investigate the relationship between weather factors during the growing season and chemical components of flue-cured tobacco. Chemical components used in this study was from 'Farm Leaf Tobacco Test' conducted at KT&G Central Research Institute from 1986 through 2003. Data of weather factors during growing season(April to July) were collected in 10 districts measured at Korea Meteorological Adminstration(KMA). Nicotine and total sugar contents, and total sugar to nicotine(TS/Nic.) ratio were increased, whereas total nitrogen to nicotine(TN/Nic.) ratio and chloride content were decreased from 1986 through 2003. Year to year variation of rainfall was the largest, followed by that of sunshine hour. Month to month variation of rainfall also was the largest, followed by that of mean daily air temperature(MDAT). Rainfall was correlated positively with relative humidity(RH), but negatively with sunshine hour. Nicotine content was correlated positively with MDAT(in July, June$\~$July, May$\~$July and average), but negatively with rainfall(in May$\~$July) and with RH(in June, July, May $\~$June, June $\~$July, April$\~$June, May $\~$July and average). Total sugar content was correlated positively with MDAT(in May), but negatively with sunshine hour(average) and RH(in June, July, June$\~$July, April$\~$June, May$\~$July and average). The positive correlation was found between total nitrogen content and sunshine hour(in April, May, April$\~$May, May$\~$July, April$\~$June and average). The negative correlation was found between TS/Nic. ratio and sunshine hour(in May$\~$July and average). TN/Nic. ratio was correlated positively with sunshine hour(in May and April$\~$May) and with RH(in July and June$\~$July), but negatively with MDAT(in July, June$\~$July, May$\~$July and average). Ether extraction content was correlated positively with MDAT(in July, June$\~$July, May$\~$July and average) and with sunshine hour(in July and June$\~$July), but negatively with rainfall(in April, July, May­July and average). Chloride content was correlated positively with sunshine hour(in April, July, April$\~$May, June$\~$July, April$\~$June, May$\~$July and average), but negatively with rainfall(in April, April$\~$June and average).

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.353-353
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• 2017

Rice yield of South Korea in 2015 was the highest of the last 30 years. It is important issue to establish food policy whether the historically highest yield in 2015 can be continued or just one-off event. Therefore, it is necessary to understand whether such a high yield as 2015 will be reoccurred. The aim of this study was to find out what climatic factor affect rice yield and how often these climatic factor could occur. For this study, the yield monitoring data from National Institute of Crop Science, Rural Development Administration and the meteorological data provided by Korea Meteorological Administration are used to identify the weather conditions could cause high yield, and how often these conditions occurred in the past. Our results indicated that such as high yield as 2015 could occur only when the mean sunshine hours of July and the mean sunshine hours from the end of August to early September was more than 5.1 hours and 6 hours, respectively. Mean sunshine hour of July may be related to grain number. The mean sunshine hour from the end of August to early September was presumed to relate to grain filling ratio. The relationship between monthly mean temperature and yield or yield component was not clear in this study. In this study, any cycle of high weather condition was not found. Therefore, the probability of high yield weather condition was expressed by frequency. The frequency of the sunshine hour, could make high yield, were 8/35 (23%) over the past 35 years. And the frequency of two years consecutive sunshine hour condition, which could cause high yield, was 1/35 (2.9%). The frequency of recurrence of sunshine hour making high yield within the next 5 years or 10 years after high yield weather condition were 4/35 (11.4%). After all, the high yield as much as yield of 2015 could not be one-off event. But it was not also consecutive event.

• 설비공학논문집
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• 제24권8호
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• pp.599-604
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• 2012

Most air pollution and smog are a result of the burning of fossil fuels. The use of fossil fuels also causes acid rain and global warming. So the need for solar energy utilization is increased. It is essentially important to make efforts to reduce usage of fossil energy resources. In this study, we analyzed the correlation between climatic elements(Cloud cover, Duration of sunshine, Temperature) and the photovoltaic power generation. Cloud cover of the correlation coefficient was 0.87. And duration of sunshine of the correlation coefficient was 0.93. The order of the correlation coefficient was duration of sunshine, cloud cover, temperature. To accurately analyze of the degree of correlation for the photovoltaic power generation, additional research about climatic elements that show a high correlation is needed.

• KIEAE Journal
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• 제11권1호
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• pp.15-20
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• 2011

Computer simulation of buildings and solar energy systems is being used increasingly in energy assessments and design. For the six locations (Seoul, Incheon, Daejeon, Deagu, Gwangju and Busan) in South Korea where the global hourly solar irradiation (GHSI) is currently measured, GHSI was calculated using a comparatively simple cloud cover radiation model (CRM) and sunshine fraction radiation model (SFRM). The result was that the measured and calculated values of GHSI were similar for the six regions. Results of cloud cover and sunshine fraction models have been compared with the measured data using the coefficient of determination (R2), root-mean-square error (RMSE) and mean bias error (MBE). The strength of correlation R2 varied within similar ranges: 0.886-0.914 for CRM and 0.908-0.934 for SFRM. Average MBE for the CRM and SFRM were 6.67 and 14.02 W/m2, respectively, and average RMSE 104.36 and 92.15 W/m2. This showed that SFRM was slightly accurate and used many regions as compared to CRM for prediction of GHSI.

• 한국태양에너지학회 논문집
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• 제27권2호
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• pp.1-9
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• 2007

Recently, the point of view about housing environment in the city has changed from the traditional point of view of the center of housing to the subject of land- utilization-control for interaction of buildings. Right of light is the center of this issue in other words. Also many interests about the beauties of the city have increasing centering around Europe etc. This is to change a city design into the characteristic design from the exiting uniform design. As if reflect this situation, recently we are setting up the night illumination and constructing a building which acted as Land Mark like the Jong-Ro Tower. And Apartment Housing was being built various form deviate from a existing standardized form and skyline. Existing studies about sunshine of Apartment Housing have dealt with just about a standardized Apartment Housing form. So this study analyzed a recently increasing interest for Right of light and change of sunshine environment on Apartment Housing which have a various skyline form.

• 한국태양에너지학회 논문집
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• 제40권2호
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• pp.37-48
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• 2020

This study compares cloud radiation model (CRM) and sunshine fraction radiation model (SFRM) according to the solar altitude using hourly sunshine duration (SD) and cloud cover (CC) data. Solar irradiance measurements are not easy for the expensive measuring equipment and precise measuring technology. The two models with the site fitting and South Korea coefficients have been analyzed for fourteen cities of South Korea during the period (1986-2015) and evaluated using the root mean square error (RMSE) and the mean bias error (MBE). From the comparison of the results, it is found that the SFRM with the site fitting coefficients could be the best method for fourteen locations. It may be concluded that the SFRM models of South Korea coefficients generated in this study may be used reasonably well for calculating the hourly horizontal global irradiance (HGI) at any other location of South Korea.

• 한국태양에너지학회 논문집
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• 제28권2호
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• pp.50-57
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• 2008

This study intends to evaluate the effect on indoor environment(annual thermal load, sunshine)by the application of the movable horizontal shading device on summer and winter season. For these purpose, we supposed the models which are composed of the several horizontal shading devices. Then we analyzed the simulation using the IES5.5.1 and Seoul weather data. The results of this study are as follows: 1) The proper length, angle of horizontal shading device is 2.1m, 28 degree, respectively. 2) The decreasing rate of the annual load of the Movable Horizontal Shading Model(MHSM) in comparison with the No Shading Model(NSM) & Conventional Horizontal Shading Model(CHSM) is 31.11%, 6.63% respectively. 3) The decrease of sunshine of the MHSM on summer season is effective the alleviation of visual displeasure. On the other hand, the increase of sunshine of the MHSM on winter season is effective the psychological comfort. Further study is to be required the sensitivity analysis on the various shading length for the realistic proper shading length.

• KIEAE Journal
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• 제6권3호
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• pp.35-42
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• 2006

The apartment buildings now covers more than 50% of the total residential types in Korea and the urban residential area becomes increasingly congested with newly constructed high-rise apartment buildings. Judicial precedents require, for securing the solar rights in the residential area, that the consecutive sunshine duration should be at least two hours from 9:00 to 15:00 or the accumulative sunshine duration should be at least four hours from 8:00 to 16:00 as of the winter solstice. Disputes are increasing, however, on infringed solar rights and view rights for the neighboring structures as cases occur where the requirement cannot be satisfied in congested residential areas. The sunshine duration scan be assessed by measuring it on the site of the dispute, but it is impracticable to actually measure it for every case on the winter solstice, only one day out of the whole year. At a trial, therefore, 3D computer simulation is used to calculate the sunshine duration and determine the extent of infringement for submission of the evaluation to be used as the basis of the judgment. The simulation, however, may have an error in its result up to the program characteristics and the accuracy of the input data such as the structure shape and height, the distance between structures, and the ground level. This study, therefore, used a self-developed VIEW program with Autodesk VIZ 2006 to provide a simulation method for solar access evaluation, and verified its efficacy by comparing the results with the actual measurements.

• 한국태양에너지학회 논문집
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• 제31권4호
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• pp.72-79
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• 2011

Solar radiation data are the best source of information for estimating average incident radiation. Lacking this or data from nearby locations of similar climate, it is possible to use empirical relationships to estimate radiation from days of hours of bright sunshine. It is necessary to estimate the regression coefficients in order to predict the daily global radiation on a horizontal surface. Therefore many different equations have proposed to evaluate them for certain areas. In this work a new correlation has been made to predict the solar radiation for 16 different areas over Korea by estimating the regression coefficients taking into account hours of bright sunshine. Particularly, the proposed straight line regression model shows reliable results for estimating the global radiation on a horizontal surface with monthly average deviation of -0.2 to +0.5% and each station annual average deviation of -1.6 to +1.7% from measured values.