• KIEAE Journal
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• 제14권2호
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• pp.3-10
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• 2014

Impact by estimation error of hourly horizontal global solar radiation in a weather file on building energy performance was investigated in this study. There are a number of weather parameters in a given weather file, such as dry-bulb, wet-bulb, dew-point temperatures; wind speed and direction; station pressure; and solar radiation. Most of them except for solar radiation can be easily obtained from weather stations located on the sites worldwide. However, most weather stations, also including the ones in South Korea, do not measure solar radiation because the measuring equipment for solar radiation is expensive and difficult to maintain. For this reason, many researchers have studied solar radiation estimation models and suggested to apply them to predict solar radiation for different weather stations in South Korea, where the solar radiation is not measured. However, only a few studies have been conducted to identify the impact caused by estimation errors of various solar radiation models on building energy performance analysis. Therefore, four different weather files using different horizontal global solar radiation data, one using measured global solar radiation, and the other three using estimated global solar radiation models, which are Cloud-cover Radiation Model (CRM), Zhang and Huang Model (ZHM), and Meteorological Radiation Model (MRM) were packed into TRY formatted weather files in this study. These were then used for office building energy simulations to compare their energy consumptions, and the results showed that there were differences in the energy consumptions due to these four different solar radiation data. Additionally, it was found that using hourly solar radiation from the estimation models, which had a similar hourly tendency with the hourly measured solar radiation, was the most important key for precise building energy simulation analysis rather than using the solar models that had the best of the monthly or yearly statistical indices.

• 한국태양에너지학회 논문집
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• 제34권1호
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• pp.8-18
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• 2014

Building simulation is used in a variety of sectors. In its early years, building simulation was mainly used in the design phase of a building for basic functions. Recently, however, it has become increasingly important during the operating phase, for commissioning and facility management. Most building simulation tools are used to estimate the thermal environment and energy consumption performance, and hence, they require the inputting of hourly weather data. A building simulation used for prediction should take into account the use of standard weather data. Weather data, which is used as input for a building simulation, plays a crucial role in the prediction performance, and hence, the selection of appropriate weather data is considered highly important. The present study proposed a technique for generating real-time weather data files, as opposed to the standard weather data files, which are required for running the building simulation. The forecasted weather elements provided by the Korea Meteorological Administration (KMA), the elements produced by the calculations, those utilizing the built-in functions of Energy Plus, and those that use standard values are combined for hourly input. The real-time weather data files generated using the technique proposed in the present study have been validated to compare with measured data and simulated data via EnergyPlus. The results of the present study are expected to increase the prediction accuracy of building control simulation results in the future.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2009년도 춘계학술대회 논문집
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• pp.243-246
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• 2009

To evaluate the building energy performance, many building simulation programs are used and its capabilities are developed. Despite of its increased capabilities the weather data used In the Building Energy performance evaluation, are still using the same limited set of data. This often forces users to find or calculate weather data such as illuminance, solar radiation, and ground temperature from other sources to calculate it. Also, proper selection of a right weather data set has been considered as one of important factors for a successful building energy simulation. In this paper, we describe TMY2 data, a generalized weather data format developed for use, and applied to Seoul region and examine the differences comparing to existing weather data. A set of 23 years raw weather data base has been developed to provide the weather data file for building energy analysis in Seoul.

• 한국태양에너지학회 논문집
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• 제30권6호
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• pp.108-117
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• 2010

Although many researches of simulation programs to predict climate under the current climate change have been performed but more detailed studies of weather date which might influence the load of buildings seem insufficient. In this study, in Incheon are analyzed IES (Integrated Environmental Solutions)6.0, Ecotect 2010, EnergyPlus v4.0's IWEC file and ISO-TRY, the Korean standard weather data provided by the Korean Solar Energy Society for direct normal radiation which is used in load calculation programs. The results show that the radiation of the programs is the same as that of direct normal radiation per month but has a mere difference, compared with the radiation per hour and IWEC has also 77.12% when compared with ISO-TRY, meaning that it could affect load values of buildings when applied to them. And in case of ISO-TRY, it could be judged that the application of test reference year applied by the data measured has higher reliability than IWEC file.

• 융합신호처리학회논문지
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• 제14권3호
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• pp.181-190
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• 2013

본 논문은 대전상관기로부터 출력되는 상관결과 파일을 데이터 분석에 활용할 수 있는 파일 시스템의 설계와 이와 관련된 소프트웨어 개발에 대해 기술한다. 상관결과는 천체의 가시도(visibility) 성분(진폭과 위상)이 나열된 구조이지만, 상관결과의 과학적 분석을 위해서는 천체를 관측할 때의 기상정보, 전파망원경 위치, 관측시간, 천체의 위치, 천체 의 종류, 수신기 잡음온도 등의 여러 가지 정보가 필요하다. 데이터 분석을 위한 리눅스 시스템에서 이러한 정보들에 대해 디렉터리 구조의 파일 시스템을 설계하고 이 파일 시스템을 생성하는 소프트웨어를 개발하였다. 본 논문에서는 설계한 파일 시스템의 유효성을 확인하기 위해 상관처리 결과에 대해 파일 시스템 생성 시험을 수행하였으며, 천문학자들이 데이터 분석을 통하여 과학적 분석을 수행하는데 문제가 없음을 확인하였다.

• 디지털콘텐츠학회 논문지
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• 제19권7호
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• pp.1333-1339
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• 2018

최근 집중호우 등 기상으로 인한 재해가 증가함에 따라 수문기상, 방재분야에서 레이더를 이용한 기상 및 재해예측에 대한 관심이 증대되고 관련연구가 활발히 이루어지고 있다. 환경부 등에서는 레이더 네트워크를 전국적으로 구축 운영함에 따라 레이더의 활용성이 강조되고 있지만, 레이더자료를 활용하고자 하는 실무자 및 연구자들은 레이더자료의 특성을 이해해야하고 레이더자료 형식(UF)의 변환과 보정에 시행착오를 경험하고 있다. 이에 본 연구에서는 UF형식의 레이더자료를 이미지 및 텍스트파일(ASCII file)로 생성할 수 있도록 JAVA 언어를 이용한 GUI방식의 레이더자료를 표출 및 분석 프로그램(RaDAP; Radar Display and Analysis Program)을 개발하였다. 본 프로그램을 이용하여 원하는 레이더강우 자료를 도출하고 이를 이용한 분석을 수행하는데 필요한 소요시간을 최소화 할 수 있어 다양한 분야에서 레이더자료의 활용성을 높이는데 기여할 것으로 예상된다.

• 국제초고층학회논문집
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• 제8권2호
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• pp.101-106
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• 2019

Assessing the energy performance of supertall buildings often does not consider variations in energy consumption due to the change of environmental conditions such as temperature, pressure, and wind speed associated with differing elevations. Some modelers account for these changing conditions by using a conventional temperature lapse rate, but not many studies confirm to the appropriateness of applying it to tall buildings. This paper presents and discusses simulated annual energy consumption results from a 600 m tall skyscraper floor plate located in Dubai, UAE, assessed using ground level weather data, a conventional temperature lapse rate of $6.5^{\circ}C/km$, and more accurate simulated 600 m weather data. A typical office floorplate, with ASHRAE 90.1-2010 standards and systems applied, was evaluated using the EnergyPlus engine through the OpenStudio graphical user interface. The results presented in this paper indicate that by using ground level weather data, energy consumption at the top of the building can be overestimated by upwards of 4%. Furthermore, by only using a lapse rate, heating energy is overestimated by up to 96% due to local weather phenomenon such as temperature inversion, which can only be conveyed using simulated weather data. In addition, sizing and energy consumption of fans, which are dependent both on wind and atmospheric pressure, are not accurately captured using a temperature lapse rate. These results show that that it is important, with the ever increasing construction of supertall buildings, to be able to account for variations in climatic conditions along the height of the building. Adequately modeling these conditions using simulated weather data will help designers and engineers correctly size mechanical systems, potentially decreasing overall building energy consumption, and ensuring that these systems are able to provide the necessary indoor conditions to maintain occupant comfort levels.

• 한국환경과학회지
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• 제23권3호
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• pp.493-502
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• 2014

EnergyPlus is a whole building energy simulation program that engineers, architects, and researchers use to model energy and water use in buildings. Modeling the performance of a building with EnergyPlus enables building professionals to optimize the building design to use less energy and water. This program provides energy analysis of building and needs weather data for simulation. Weather data is available for over 2,000 locations in a file format that can be read by EnergyPlus. However, only five locations are avaliable in Korea. This study intends to use AWS data for having high spatial resolution to simulate building energy. The result of this study shows the possibility of using AWS data for energy simulation of building.

• 천문학회지
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• 제38권4호
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• pp.463-470
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• 2005

In this paper, we have made the component-based development of observational software for KASI solar imaging spectrograph (KSIS) that is able to obtain three-dimensional imaging spectrograms by using a scanning mirror in front of the spectrograph slit. Since 2002, the KASI solar spectrograph has been successfully operated to observe solar spectra for a given slit region as well as to inspect the response functions of narrow band filters. To improve its capability, we have developed the KSIS that can perform sequential observations of solar spectra by simultaneously controlling the scanning mirror and the CCD camera via Visual C++. Main task of this paper is to introduce the development of the component-based software for KSIS. Each component of the software is reusable on the level of executable file instead of source code because the software was developed by using CBD (component-based development) methodology. The main advantage of such a component-based software is that key components such as image processing component and display component can be applied to other similar observational software without any modifications. Using this software, we have successfully obtained solar imaging spectra of an active region (AR 10708) including a small sunspot. Finally, we present solar $H{\alpha}$ spectra ($6562.81{\AA}$) that were obtained at an active region and a quiet region in order to confirm the validity of the developed KSIS and its software.

• 한국엔터테인먼트산업학회논문지
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• 제13권1호
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• pp.139-156
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• 2019

동계스포츠는 레저인구의 확대와 함께 국내 및 국제수준의 대회가 자주 개최됨에 따라 수요자 중심의 스포츠 정보가 더욱 필요해지고 있다. 특히 기상 및 환경정보는 동계스포츠대회를 조직체는 물론이고 직접 진행을 하는 경기운영요원 및 지도자와 선수 모두에게 필수적인 요소가 되고 있다. 이 연구는 동계 스포츠 설상 종목을 4개의 종목군으로 그룹화하여 각 그룹별 기상 및 환경정보에 의해 경기운영 및 경기력을 위한 제고하는 중요성 요인이 무엇인가를 구명(究明)하는데 목적이 있었다. 이 연구는 질적연구방법에 의해 이루어졌으며, 11명의 동계스포츠 관련자들이 유목적적 표집법(purposeful sampling)에 의해 정보제공자로서 선정하였다. 심층면담(in-depth interview)을 통해 얻은 자료는 내용분석(content analysis)과 함께 유형화(categorizing)과정으로 분석되었다. 이러한 과정을 통해 얻은 결론은 동계 스포츠경기를 위해 종목별 특화된 기상 및 환경정보 요소들에 의해 경기운영과 경기력에 중요하게 고려해야 하는 요인들이 구명하였다. 이는 동계스포츠 특성에 맞는 세분화된 정보를 제공하여 정보수요자의 활용과 정보재생산의 의미를 갖는다.