• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.28 no.3
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• pp.114-121
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• 2010

Traditional temples in Korea are the important cultural heritage because of artistic traditonal buildings and structures, paintings, sculptures, and big forest areas which are most ecological and beautiful in Korea. Since traditional temples still function as religious places for very long time, the sense of places intrinsic to the temples are very strong and vivid. The sense of place is very closely related to the conservation of the original landscape type. Recently however, there is a strong tendency to use solar energy in traditional temples because of the low energy efficiency of the old traditional architecture which may have negative impact on landscape which again in turn may lead to the destruction of the sense of place. The purpose of this study was to suggest some landscape design guidelines to protect the sense of place of traditional temple by investigating the impact of solar energy facility on the landscape experience of traditional temple. In order to do perform this purpose, Tongdosa was selected as a study site and four kinds of measurement tools(landscape image, temple identity, landscape satisfaction, degree of landscape improvement) were used as questionnaire items. 180 college students participated in the questionnaire survey. The analysis showed that the solar energy facility had very negative impact on landscape experience such as three landscape image factors(scenic beauty, openness, complexity), landscape satisfaction, temple identity, and landscape improvement. Based on the results, three landscape improvement plans were suggested. First, solar energy facility should be built in the forest in order not to be exposed to visitors, if possible. Second, the landscape management of traditional temple should emphasize on sustaining scenic beauty and temple identity along with the provision of openness. Lastly, detailed landscape guideline should be prepared to regulate the scale, ratio, and the form of the artificial buildings and structures to protect the sense of place of traditional temple.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.3
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• pp.103-113
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• 2024

This study is based on the design project of 'Sun-Garden' within the Solaseado Solar Power Plant located in Solaseado, which is a New City being developed in Haenam, Jeollanam-do. The purpose of this study is to create an integrated and sustainable energyscape that harmonizes energy infrastructure with the natural environment, while supporting the city's carbon neutrality agenda. To achieve this, design principles were established by considering three key aspects. The first aspect is economic, which seeks to create multifunctional spaces that integrate nature and technology, pursuing long-term sustainability while generating additional economic value. The second aspect is natural, emphasizing the creation of planting environments that conserve and enhance ecosystems, introduce region-specific species, and maintain ecosystem services and sustainable resource use. The third aspect is landscape, offering sensory and educational experiences to visitors and functioning as a landmark that symbolizes the carbon-neutral garden city of Solaseado through the aesthetic harmony of nature and technology. Through the creation of the 'Sun-Garden,' the Solaseado Solar Power Plant exemplifies a sustainable energyscape development model that merges economic, environmental, and landscape aspects beyond the conventional energy production facility. This project is expected to provide guidelines and implications for future energy infrastructure design, contributing to global energy transition efforts.

• Journal of the Economic Geographical Society of Korea
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• v.24 no.4
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• pp.367-385
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• 2021

This study examined changes in the energy landscape, focusing on the photovoltaic module carbon certification system. As the global photovoltaic market has been reorganized around Chinese companies, the South Korean government has pushed to strengthen the competitiveness of the nation's photovoltaic industry. However, a limitation remains in that the government-led effort was not sufficient to bring about dynamic changes in the energy landscape. Against this backdrop, this study explored the stages leading to the multi-level perspectives of "macro-environment, socio-technical regime, and niche" to track the process of the government and domestic photovoltaic companies as part of a socio-technical regime responding to global market changes. In particular, this study raised an issue with the conceptual discussion of multi-level perspective, which placed a particular emphasis on the rate of change at each level and the niche in which innovative experiments take place, and thus attempted to fill this gap by tracking the energy landscape that varies differently from space. These spatial discussions can track different carbon emissions coefficients and industrial characteristics for each country, and have a higher level of explanatory power for the system thus constructed. In addition, through discussions on the problems and implications of the government-led introduction of renewable energy policies, this study suggests the need to create and implement a field-oriented system.

• Journal of Energy Engineering
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• v.20 no.2
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• pp.143-153
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• 2011

Offshore wind power(OWP) is one of the most promising renewable energy and gives higher output than onland one due to stronger and consistent wind in offshore. it offsets shortcoming of noise, spatial limit and less affects scenery, and can be built in larger size. Korea has plenty of offshore wind resources as it is surrounded by the sea in three directions. This review describes recent progress in offshore wind turbine and substructure technology. Market trend in local and overseas, Number of papers published and patents registered are analysed.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.5
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• pp.69-79
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• 2022

This study aims to assess the current understanding of the landscape of wind power facilities as renewable energy sources that supply sightseeing, tourism, and other opportunities. Therefore, social media data related to the landscape of wind power facilities experienced by visitors from different regions was analyzed. The analysis results showed that the common characteristics of the landscape of wind power facilities are based on the scale of wind power facilities, the distance between overlook points of wind power facilities, the visual openness of the wind power facilities from the overlook points, and the terrain where the wind power facilities are located. In addition, the preference for wind power facilities is higher in places where the shape of wind power facilities and the surrounding landscape can be clearly seen- flat ground or the sea are considered better landscapes. Negative keywords about the landscape appear on Gade Mountain in Taibai, Meifeng Mountain in Taibai, Taiqi Mountain, and Gyeongju Wind Power Generation Facilities on Gyeongshang Road in Gangwon. The keyword 'negation' occurs when looking at wind power facilities at close range. Because of the high angle of the view, viewers can feel overwhelmed seeing the size of the facility and the ridge simultaneously, feeling psychological pressure. On the contrary, positive landscape adjectives are obtained from wind power facilities on flat ground or the sea. Visitors think that the visual volume of the landscape is fully ensured on flat ground or the sea, and it is a symbolic element that can represent the site. This study analyzes landscape awareness based on the opinions of visitors who have experienced wind power facilities. However, wind power facilities are built in different areas. Therefore, landscape characteristics are different, and there are many variables, such as viewpoints and observers, so the research results are difficult to popularize and have limitations. In recent years, landscape damage due to the construction of wind power facilities has become a hot issue, and the domestic methods of landscape evaluation of wind power facilities are unsatisfactory. Therefore, when evaluating the landscape of wind power facilities, the scale of wind power facilities, the inherent natural characteristics of the area where wind power facilities are set up, and the distance between wind power facilities and overlook points are important elements to consider. In addition, wind power facilities are set in the natural environment, which needs to be protected. Therefore, from the landscape perspective, it is necessary to study the landscape of wind power facilities and the surrounding environment.

• Proceedings of the KIPE Conference
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• 2012.11a
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• pp.249-250
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• 2012

해상 풍력 발전은 가장 유망한 재생 에너지원의 하나이며, 육상 풍력 발전보다 풍력이 강력하고 일정하여 장시간 고출력 발생이 가능하다. 또한 소음, 공간적 한계, 경관훼손 등 기존 육상 풍력 발전의 단점을 보완하고 초대형 단지조성이 가능한 장점이 있다. 초대형 해상풍력단지에는 일반적으로 MW급의 해상풍력발전기가 사용된다. 본 논문에서는 MW급의 해상 풍력발전기에 ANPC(Active Neutral-Point-Clamped) Multi-Level VSC(Voltage Source Converter)를 적용하여 Back-to-Back으로 구성한 시스템을 제안하고 계통연계형 풍력 발전 시스템을 모의한 시뮬레이션을 통하여 제안된 시스템의 성능을 검증한다.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.70-82
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• 2023

The recent surge of IT and data acquisition is shifting the paradigm in all aspects of life, and these advances are also affecting academic fields. Research topics and methods are being improved through academic exchange and connections. In particular, data-based research methods are employed in various academic fields, including landscape architecture, where continuous research is needed. Therefore, this study aims to investigate the possibility of developing a landscape preference evaluation and prediction model using machine learning, a branch of Artificial Intelligence, reflecting the current situation. To achieve the goal of this study, machine learning techniques were applied to the landscaping field to build a landscape preference evaluation and prediction model to verify the simulation accuracy of the model. For this, wind power facility landscape images, recently attracting attention as a renewable energy source, were selected as the research objects. For analysis, images of the wind power facility landscapes were collected using web crawling techniques, and an analysis dataset was built. Orange version 3.33, a program from the University of Ljubljana was used for machine learning analysis to derive a prediction model with excellent performance. IA model that integrates the evaluation criteria of machine learning and a separate model structure for the evaluation criteria were used to generate a model using kNN, SVM, Random Forest, Logistic Regression, and Neural Network algorithms suitable for machine learning classification models. The performance evaluation of the generated models was conducted to derive the most suitable prediction model. The prediction model derived in this study separately evaluates three evaluation criteria, including classification by type of landscape, classification by distance between landscape and target, and classification by preference, and then synthesizes and predicts results. As a result of the study, a prediction model with a high accuracy of 0.986 for the evaluation criterion according to the type of landscape, 0.973 for the evaluation criterion according to the distance, and 0.952 for the evaluation criterion according to the preference was developed, and it can be seen that the verification process through the evaluation of data prediction results exceeds the required performance value of the model. As an experimental attempt to investigate the possibility of developing a prediction model using machine learning in landscape-related research, this study was able to confirm the possibility of creating a high-performance prediction model by building a data set through the collection and refinement of image data and subsequently utilizing it in landscape-related research fields. Based on the results, implications, and limitations of this study, it is believed that it is possible to develop various types of landscape prediction models, including wind power facility natural, and cultural landscapes. Machine learning techniques can be more useful and valuable in the field of landscape architecture by exploring and applying research methods appropriate to the topic, reducing the time of data classification through the study of a model that classifies images according to landscape types or analyzing the importance of landscape planning factors through the analysis of landscape prediction factors using machine learning.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1867-1873
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• 2008

호안은 제방 및 저수로 하안을 강수와 유수에 의한 파괴와 침식작용에 대하여 직접 보호할 목적으로 설치하는 것이다. 최근에는 자연형.생태하천 등 하천의 친수성.경관.생태계의 보전.재생 등이 중요시 되면서 이런 기능을 가진 많은 호안공법들이 개발 및 시공되고 있다. 하지만 이러한 호안공법에 대한 홍수시의 수리적 안정성 검토 등의 기술적인 검토가 충분치 않은 실정이다. 따라서 호안공법이 적용된 호안에 대해 홍수시의 수리적 안정성에 대한 분석이 필요하다. 본 연구에서는 호안 조사결과 우리나라에서 가장 많은 시공사례가 있는 콘크리트 식생블록에 대해서 개수로 수리모형실험을 통하여 호안의 수리적 안정성을 분석하였다. 분석에 이용된 모형은 실제 하천에 많이 적용되고 있는 H형 식생블록을 1/10 축소모형을 제작하여 사용하였다. 호안경사 1:2에 대해 식생이 없는 경우, 식생이 0.08m, 0.04m 간격으로 있는 경우에 대해 유량을 변화시키면서 식생밀도에 따른 유속 저감 및 소류력 저감 효과에 대한 수리적 안정성을 분석하였다. 그 결과 호안경사 및 식생밀도는 호안부에서 흐름의 에너지 및 유속을 감소시키며, 식생이 없는 호안에 비해 식생이 있는 호안에서는 식생밀도가 증가함에 따라 소류력이 최대 62.24%까지 감소하였다. 호안부에서의 식생의 발달은 유속 및 소류력을 감소시켜 호안부의 안정화에 크게 기여하고 있음을 알 수 있었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.72-72
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• 2020

전 세계 태양광 발전용량은 2010년 초 25GW에서 2019년 말 617.9GW로, 지난 10년 동안 25배 이상 증가하였다(2019년 전세계 태양광 발전(PV)의 추가량은 거의 133GW 추정). 2020년에도 세계 태양광시장은 120~150GW를 형성해 전년대비 10% 내외의 성장세를 이어갈 것으로 전망되며, 향후에도 성장률은 다소 낮아지겠지만 2030년 태양광 수요피크 200GW까지 지속적인 성장이 기대된다. 한편 우리나라 수상태양광은 높은 잠재력(저수면적의 7%를 활용할 경우 5,304MW 규모의 수상태양광 개발이 가능)을 가지고 있는 것으로 평가된다. 신(新)정부 국정과제 3020 신재생 확산정책에 따라 신재생에너지 보급률 확산이 전망되는 가운데, K-water의 중장기('17~'26) 전략경영계획에 따르면 수상태양광은 2026년까지 2,758MW 개발을 목표로 하고 있다. 하지만, 수상태양광은 경제성과 환경적 측면에서의 불확실성을 포함하여 시설물의 안정성 검증, 사회적 수용성 등 극복해야 할 정책과제들을 안고 있다. ① REC 가격의 안정화, 경제성 제고 문제(높은 운영 및 관리 비용), ② 난개발, 환경·경관·안전 문제에 대한 주민들의 우려 : 주민 수용성 제고, ③ 투자 사기와 유착·비리, 편법개발, 난개발에 대한 규제방안, ④ 지역사회와의 거버넌스 및 갈등관리 문제, 공용 전력망 부족과 계통연계 문제 등. 이에 본 연구는 태양광 선도국가의 정책 사례 분석을 통해 수상태양광 관련 명확한 규제 및 지원정책을 제언하고자 한다. 분석방법으로는 첫째, 주요 국가에서 시행 중인 수상태양광에 대한 금융지원 및 정책 지원을 국내 사례와 비교·분석하였으며 둘째, 경제적·생태적 관점에서 수상태양광 모델을 개발하고, 이를 지역사회가 수용할 수 있도록 정책적 대안을 제시하였다.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.235-243
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• 2021

As environmental problems accompanied by industrialization have emerged worldwide, solar and wind energy have entered the stage of commercialization, especially in Korea. In addition, research on improving aesthetics using solar cells is being actively conducted. Examples include developing a transmissive solar cell and developing a solar cell with flexibility and color. Therefore, in line with the upward trend of solar cell development and solar cell-based public facility installation, we will present guidelines for designing public facilities using solar cells to improve aesthetics. First of all, components were derived to increase the suitability of solar cell application through literature surveys on solar cells and case studies on public facilities using solar cells. Next, through prior research on public facility guidelines, we established evaluation principles and drafted design guidelines. Based on this, a Delphi survey was conducted on a group of experts to verify its validity. Design guidelines for solar cells application measures to improve the final public design aesthetics were derived. The goal is to improve the public facilities using solar cells, through Accessibility and cognition, Usability, Shape and aesthetics, Sustainability and energy efficiency, Continuity with the urban landscape. And it is expected that this data will be used to improve the aesthetics of public design using solar cells in the future.