• 한국태양에너지학회 논문집
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• 제25권1호
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• pp.65-78
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• 2005

The objective of this paper is to develop a automatic computation module for optimum stories in apartment buildings in order to assure the solar access right for neighboring areas. Compared to the existing solar access right analysis programs, the proposed solar access right analysis program is more improved and expanded by automating the computing process of optimum stories in apartment buildings. With the result of this research, it would be possible to furnish advanced information for an amicable settlement against the civil petition and disputes, to reduce waste of the time and money, and to improve the efficiency of solar access right analysis works.

• 한국주거학회논문집
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• 제16권3호
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• pp.69-77
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• 2005

The purpose of this study is to develop a automation for decision of the optimum stories in apartment buildings in order to assure the solar access right for neighboring areas. Compared to the results of the optimum stories by manual process through applying a legal case over solar access right, the proposed method provides more improved and expanded information by automating the computing process of decision of the optimum stories in apartment buildings. With the result of this research, it would be possible to furnish with advanced information for an amicable settlement against the civil petition and disputes, to reduce waste of the time and cost and to improve the efficiency of solar access right analysis works.

• 한국태양광발전학회지
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• 제6권1호
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• pp.8-20
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• 2020

Nepal has huge potential of hydro and other renewable energy resources including solar energy. However, only 70% of the total population have access to electricity despite the long history of hydropower development in the country. Still more than 37% population in rural areas and around 73% population in Karnali Province, one of the least developed provinces, are living without access to electricity despite taking several initiatives and implementing various policies by government supporting electrification in off-grid rural areas. Government together with donors and private sector has extensively been promoting the off-grid solar photovoltaic (PV) echnology in un-electrified areas to increase electricity access. So far, more than 900,000 households in rural areas of Nepal are getting electricity from stand-alone solar PV systems. However, there are many challenges including financial, technical, institutional, and governance barriers in Nepal. This study based on extensive review of literatures and author's own long working experiences in renewable energy sector in Nepal, shares the best practices and lessons of off-grid solar PV for increasing access to electricity in rural areas of Nepal. This study suggests that flexible financial instruments, financial innovations, bundling of PV systems for concentrating energy loads, adopting standards process, local capacity building, and combination of technology, financing and institutional aspects are a key for enhancing effectiveness of solar PV technology in rural areas of Nepal.

• 보존과학회지
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• 제37권2호
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• pp.90-100
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• 2021

야외 문화재와 그 부재는 위도, 방위각, 경사각에 따라 태양으로부터의 일사량이 다르고 주변의 지형, 지물에 의해 추가 음영이 발생하므로 개별적이고 정량적인 음영 분석이 요구된다. 본 연구는 2019년 7월에 국립문화재연구소 내 전통 건축물인 청풍각의 방위별 목재 기둥 상부, 중부, 하부 지점을 대상으로 태양 궤적 측정기를 이용한 음영 분석을 수행하였다. 음영 분석 결과, 태양 궤적 측정기의 시각별 일사/음영 예측은 실제 현장에서의 시각별 일사/음영에 30분 오차로 일치하였다. 목재 기둥의 방위별 일조율과 일사량은 남향이 가장 높고, 서향, 동향, 북향 순으로 높았으며 측정 위치별 일조율과 일사량은 하부가 가장 높고 중부, 상부 순으로 높았다. 일조율은 경사각 90°가 높았으나 일사량은 수광 효율과 일사 세기에 기인하여 경사각 0°가 높았다. 상부 지점은 지붕 처마, 중부와 하부 지점은 주변 목재 기둥, 주변 지형과 지물에 의한 음영 장애 영향이 컸다. 상부, 중부, 하부 지점에 대한 동시 일사는 북서 측, 서 측, 남서 측 기둥에서는 365일 가능하였고 남 측, 남동 측 기둥에서는 10월부터 3월까지 기간만 가능한 것으로 나타났다.

• KIEAE Journal
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• 제4권4호
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• pp.35-44
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• 2004

In Korea, the apartment buildings have been constructed recently in large quantities to provide housing due to the gravitation of population towards large cities. However, because of this trend toward high-rise apartment, a number of problems are occurred such as the deterioration of comfort in the dwelling environment and the lack of solar access right in apartment buildings. In the building law, the sunshine hour and the minimal separated distance between apartment buildings as regulated as the criteria for the site planning. Most of site planners, however, designed the apartment site only following minimum separated distance. As a result, the problem of sunshine hours lack is caused and legal dispute concerning solar access right is also arisen. The purpose of this study is to improve solar access right regulation and to help site design of apartment planning. Accordingly, we execute empirical analysis based on computer simulation in order to find suitable separated distance between typically designed apartment buildings. First, we estimated sunshine hours according to independent building orientation, height, and length. Second, we calculated sunshine hours in various case of apartment arrangement; parallel type, courtyard type, tower type and etc. with various separated distance.

• Advances in Energy Research
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• 제8권4호
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• pp.243-252
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• 2022

The hybrid wind-solar energy concept has a big influence on the spread of wind and solar power projects in India since it combines the benefits of both industries while also providing extra benefits such as resource sharing such as land, infrastructure, and power evacuation systems. Furthermore, while the hybrid policy may reduce certain barriers to the installation of wind and solar energy in India, there are still some issues that must be resolved rapidly in order to ensure a sustainable installation. According to the study's findings, the installation of wind and solar power plants is significantly influenced by energy policy. The wind-solar hybrid energy strategy will also be crucial in the near future for growing the usage of renewable energy sources. Aside from that, the establishment of Green Energy Open Access (GEOA) and the restart of the trading of Renewable Energy Certificates (REC) would promote the quick deployment of standalone and hybrid renewable power projects throughout the nation, enabling it to reach 500 GW of installed non-fossil energy capacity by 2030.

• 한국주거학회논문집
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• 제14권6호
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• pp.51-58
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• 2003

When apartment buildings are builed and re-builded, they tends to be taller. This tendency causes the problems for solar access and view in the neighboring area. So the impact factor of sunlight and view by apartment building in its neighboring area is examined. The results of this study are as follows： When analyzing sky view by dividing the sky vault into the differential area, the analysis of view can be efficient. The shorter the apartment building, the more the continuous solar access time. And the taller the building, the more the accumulated solar access time. As the height of building is taller and it is farther from the border of apartment building, view ratio, sky view ratio, and form ratio are increased. It implies that the slimmer the building, the more the visual environment can be improved.

• 천문학회보
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• 제46권2호
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• pp.46.2-46.2
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• 2021

We present solar event auto detection using deep-learning-based object detection algorithms and DeepSDO event dataset. DeepSDO event dataset is a new detection dataset with bounding boxed as ground-truth for three solar event (coronal holes, sunspots and prominences) features using Solar Dynamics Observatory data. To access the reliability of DeepSDO event dataset, we compared to HEK data. We train two representative object detection models, the Single Shot MultiBox Detector (SSD) and the Faster Region-based Convolutional Neural Network (R-CNN) with DeepSDO event dataset. We compared the performance of the two models for three solar events and this study demonstrates that deep learning-based object detection can successfully detect multiple types of solar events. In addition, we provide DeepSDO event dataset for further achievements event detection in solar physics.

• Advances in Computational Design
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• 제3권4호
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• pp.319-338
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• 2018

High-performing architecture should be designed by taking into account the mutual dependency between the new building and the local context. The performative architecture plays an important role to avert any unforeseen failures after the building has been built; particularly ones related to the microclimate impacts that affect the human comfort. The use of the concept of solar envelopes helps designers to construct the developable mass of the building design considering the solar access and the site obstruction. However, the current analysis method using solar envelopes lack in terms of integrating the detailed information of the existing context during the simulation process. In architectural design, often the current site modelling not only absent in preserving the complex geometry but also information on the surface characteristics. Currently, the emerging applications of point clouds offer a great possibility to overcome these limitations, since they include the attribute information such as XYZ as the position information and RGB as the color information. This study particularly presents a comparative analysis between the manually built 3D models and the models generated from the point cloud data. The modelling comparisons focus on the relevant factors of solar radiation and a set of simulation to calculate the performance indicators regarding selected portions of the models. The experimental results emphasize an introduction of the design approach and the dataset visibility of the 3D existing environments. This paper ultimately aims at improving the current architectural decision of support environment means, by increasing the correspondence between the digital models for performance analysis and the real environments (context of design) during the conceptual design phase.

• 한국태양에너지학회 논문집
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• 제29권3호
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• pp.37-44
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• 2009

The field-surveyed and measured energy consumption data is processed to develop building energy demand models for heating, hot water, cooling, and electricity. The load models are systematically organized as a database and hourly loads for a span of year (8760 hours) are generated by the program. Rased on those models a Microsoft Access application program is developed to calculate energy demands for a Community Energy System (CES) composed of 17 types of buildings. User-friendly interfaces are provided to assist non-expert end users and necessary tools to link the calculation results to subsequent coagulations such as operation simulation or economic assessment.