• 한국건축친환경설비학회 논문집
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• 제12권6호
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• pp.627-640
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• 2018

Submetering electricity consumption data enables more detail input of end use components, such as lighting, plug, HVAC, and occupancy in building energy modeling. However, such an modeling efforts and results are rarely tried and published in terms of the estimation accuracy of electricity demand. In this research, actual submetering data obtained from a university building is analyzed and provided for building energy modeling practice. As alternative modeling cases, conventional modeling method (Case-1), using reference schedule per building usage, and main metering data based modeling method (Case-2) are established. Detail efforts are added to derive prototypical schedules from the metered data by introducing variability index. The simulation results revealed that Case-1 showed the largest error as we can expect. And Case-2 showed comparative error relative to Case-3 in terms of total electricity estimation. But Case-2 showed about two times larger error in CV (RMSE) in lighting energy demand due to lack of End Use consumption information.

• 한국지하수토양환경학회지:지하수토양환경
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• 제26권3호
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• pp.14-24
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• 2021

Aquifer thermal energy storage (ATES) system uses groundwater thermal energy for cooling and heating of buildings, and it is also often utilized to provide warm water to crops and plants for the purpose of enhancing agricultural yields. This study investigated the potential influences of a ATES system on the geochemical properties of groundwater by simulating the variation of hydrochemistry and saturation index of groundwater during ATES operation. The test bed was installed at an agricultural field, which is mainly composed of an groundwater-rich alluvial plain. The simulation results showed no significant precipitation of mineral phases such as manganese-iron oxide, carbonate and sulfate around the ATES test bed, as well as no debasement of other important water quality parameters. The implementation of ATES system in the study area was appropriate and effective for utilizing the thermal energy of groundwater for agricultural use.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.177-182
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• 2022

Technology is progressing with every passing day and the enormous usage of electricity is becoming a necessity. One of the techniques to enjoy the assistances in a smart home is the efficiency to manage the electric energy. When electric energy is managed in an appropriate way, it drastically saves sufficient power even to be spent during hard time as when hit by natural calamities. To accomplish this, prediction of energy consumption plays a very important role. This proposed prediction model Coherent Weighted K-Means Clustering ARIMA (CWKMCA) enhances the weighted k-means clustering technique by adding weights to the cluster points. Forecasting is done using the ARIMA model based on the centroid of the clusters produced. The dataset for this proposed work is taken from the Pecan Project in Texas, USA. The level of accuracy of this model is compared with the traditional ARIMA model and the Weighted K-Means Clustering ARIMA Model. When predicting,errors such as RMSE, MAPE, AIC and AICC are analysed, the results of this suggested work reveal lower values than the ARIMA and Weighted K-Means Clustering ARIMA models. This model also has a greater loglikelihood, demonstrating that this model outperforms the ARIMA model for time series forecasting.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.213-220
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• 2011

In the current construction industry where various stakeholders take part, BIM Data exchange using standard format can provide a more efficient working environment for related staffs during the life-cycle of the building. Currently, the formats used to exchange the data from 3D-CAD application to structure energy analysis at the design stages are IFC, the international standard format provided by IAI, and gbXML, developed by Autodesk. However, because of insufficient data compatibility, the BIM data produced in the 3D-CAD application cannot be directly used in the energy analysis, thus there needs to be additional data entry. The reasons for this are as follows: First, an IFC file cannot contain all the data required for energy simulation. Second, architects sometimes write material names on the drawings that are not matching to those in the standard material library used in energy analysis tools. DOE-2.2 and Energy Plus are the most popular energy analysis engines. And both engines have their own material libraries. However, our investigation revealed that the two libraries are not compatible. First, the types and unit of properties were different. Second, material names used in the library and the codes of the materials were different. Furthermore, there is no material library in Korean language. Thus, by comparing the basic library of DOE-2, the most commonly used energy analysis engine worldwide, and EnergyPlus regarding construction materials; this study will analyze the material data required for energy analysis and propose a way to effectively enter these using semantic web's ontology. This study is meaningful as it enhances the objective credibility of the analysis result when analyzing the energy, and as a conceptual study on the usage of ontology in the construction industry.

• 한국가스학회지
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• 제22권4호
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• pp.7-12
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• 2018

수소 에너지는 20 세기 대표에너지인 석유, 석탄의 대체 에너지로 각광받고 있다. 또한, 수소에너지가 가지고 있는 미세먼지 제로, 풍부한 에너지원 그리고 생태계의 무영향 등의 이점은 다른 신재생 에너지원보다 비교우의를 점하도록 하고 있다. 하지만, 수소 에너지의 명확하지 못한 제품 개발기준과 사용법은 수소 에너지 관련 제품군의 사고 위험도를 높이고, 수소의 높은 에너지 준위는 사고 발생 시, 큰 사회적 문제를 일으킬 요소를 내재하고 있다. 따라서, 본 연구는 빠른 수소 에너지의 표준화 방안을 제시하여 신제품 개발이 대부분인 수소 에너지 관련 제품의 안전한 시장 정착에 도움을 주고자 한다.

• 태양에너지
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• 제18권2호
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• pp.19-29
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• 1998

국내 소비 에너지 사용량의 약 97%를 수입에 의존하고 있고, 지구온난화와 관련된 환경문제가 심각하게 대두되고 있는 실정이다. 또한 우리나라 에너지 부문별 소비형태에서 47%를 차지하는 산업용의 에너지 소비는 대부분 유류애 의존하고 있고, 그 중에서도 제조부분의 소비가 91.5%로 나타나고 있어, 이 부분에 대체어네지원의 개발, 대체 시스템의 적용이 절실히 요구되고 있다. 우리 나라에서도 국가적 에너지 절약과 쾌적한 주거환경 및 생활의 편리함을 위해 기존 화석에너지로부터 무공해 청정에너지(Clean Energy)로 그 사용형태가 바뀌어 가는 지금 그 양과 질적인 면에서 무한정이고 무공해인 대체 에너지원으로서의 태양에너지는 다양한 이용분야가 개발되어 실용화되고 있다. 국�K의 경우 대표적으로 평판형 태양열집열기를 이용한 온수급탕 시스템을 들 수 있고, 냉난방, 산업공정열 및 태양열 발전 분야에 대한 실용화 및 타당성 연구가 활발히 진행되고 있다. 따라서 본 고에서는 태양열 시스템의 중요한 구성요소인 고효율 집열기술에서 산업용 응용($70{\sim}150^{\circ}C$)에 적합한 것으로 기대되는 진공유리관형 태양열집열기, 국내 외 기술개발 동향과 산업공정열의 대체 가능성에 대하여 기술하였다.

• 한국도로학회논문집
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• 제16권6호
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• pp.51-57
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• 2014

PURPOSES : An conventional method for electric power generation is converting thermal energy into mechanical energy then to electrical energy. Due to environmental issues such as global warming related with $CO_2$ emission etc., were the limiting factor for the energy resources which resulting in extensive research and novel technologies are required to generate electric power. Thermal energy harvesting using thermoelectric generator is one of energy harvesting technologies due to diverse advantages for new green technology. This paper presents a possibility of application of the thermoelectric generator's application in the direct exchange of waste solar energy into electrical power in road space. METHODS : To measure generated electric power of the thermoelectric generator, data logger was adopted as function of experimental factors such as using cooling sink, connection methods etc. Also, the thermoelectric generator、s behavior at low ambient temperature was investigated as measurement of output voltage vs. elapsed times. RESULTS : A few temperature difference between top an bottom of the thermoelectric generator is generated electric voltage. Components of an electrical circuit can be connected in various ways. The two simplest of these are called series and parallel and occur so open. Series shows slightly better performance in this study. An installation of cooling sink in the thermoelectric generator system was enhanced the output of power voltage. CONCLUSIONS : In this paper, a basic concepts of thermoelectric power generation is presented and applications of the thermoelectric generator to waste solar energy in road is estimated for green energy harvesting technology. The possibility of usage of thermoelectric technology for road facilities was found under the ambient thermal gradient between two surfaces of the thermoelectric module. An experiment results provide a testimony of the feasibility of the proposed environmental energy harvesting technology on the road facilities.

• 대한건축학회논문집:구조계
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• 제34권11호
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• pp.63-72
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• 2018

In this study, we analyzed high-performance building technologies through a case study of 65 high-performance buildings in the U.S., Europe, Asia and Oceania. In detail, we reviewed the international trend of building energy-saving technology and energy consumption per unit area by analyzing buildings constructed within a 10 year period(2008-018). The primary energy consumption was $48-440kWh/m^2$, and the average value was calculated as $169.3kWh/m^2$. Although some buildings received high certification ratings, they did not meet either Korean or international energy evaluation standards. The system analysis revealed that many energy-saving technologies show various application rates in different countries because the technologies possess different properties. Furthermore, small-area building groups tended to have less primary energy consumption than the medium and large-area buildings, but the area-energy relationship $R^2$ value was analyzed as 0.3161, indicating no clear proportional relationship. Therefore, we propose that it is necessary to maximize the energy savings of buildings by taking into consideration a region's code, climate, building usage, area and space-using patterns to reduce energy and greenhouse gas emissions.

• Asian Pacific Journal of Cancer Prevention
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• 제16권17호
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• pp.7785-7788
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• 2015

Utilization of high energy photons (>10MV) with an optimal weight using a mixed energy technique is a practical way to generate a homogenous dose distribution while maintaining adequate target coverage in intact breast radiotherapy. This study represents a model for estimation of this optimal weight for day to day clinical usage. For this purpose, treatment planning computed tomography scans of thirty-three consecutive early stage breast cancer patients following breast conservation surgery were analyzed. After delineation of the breast clinical target volume (CTV) and placing opposed wedge paired isocenteric tangential portals, dosimeteric calculations were conducted and dose volume histograms (DVHs) were generated, first with pure 6MV photons and then these calculations were repeated ten times with incorporating 18MV photons (ten percent increase in weight per step) in each individual patient. For each calculation two indexes including maximum dose in the breast CTV ($D_{max}$) and the volume of CTV which covered with 95% Isodose line ($V_{CTV,95%IDL}$) were measured according to the DVH data and then normalized values were plotted in a graph. The optimal weight of 18MV photons was defined as the intersection point of $D_{max}$ and $V_{CTV,95%IDL}$ graphs. For creating a model to predict this optimal weight multiple linear regression analysis was used based on some of the breast and tangential field parameters. The best fitting model for prediction of 18MV photons optimal weight in breast radiotherapy using mixed energy technique, incorporated chest wall separation plus central lung distance (Adjusted R2=0.776). In conclusion, this study represents a model for the estimation of optimal beam weighting in breast radiotherapy using mixed photon energy technique for routine day to day clinical usage.

• 한국지역사회생활과학회지
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• 제27권2호
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• pp.281-294
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• 2016

This study was conducted to promote consumer interest in Geothermal Heat Pump (Ground Source Heat Pump, GSHP) and district heating and cooling (District Heating & Cooling, DHC) systems, which are competing with each other in the heating and cooling field. Considering not only the required cost data of energy itself, but also external influence factors, the optimal mix ratio of these two energy systems was studied as follows. The quantitative data of the two energy systems was entered into a database and the non-quantitative factors of external influence were applied in the form of coefficients. Considering both of these factors, the optimal mix ratio of GSHP and DHC systems and minimum Life Cycle Cost (LCC) were obtained using an algorithm model design. The Optimal Energy Mix of GSHP & DHC (OEMGD) algorithm was developed using a software program (Octave 4.0). The numerical result was able to reflect the variety of external influence factors through the OEMGD algorithm. The OEMGD model found that the DHC system is more economical than the GSHP system and was able to represent the optimal energy mix ratio and LCC of mixed energy systems according to changes in the external influences. The OEMGD algorithm could be of help to improve the consumers' experience and rationalize their energy usage.