• 제목/요약/키워드: 그린빌리지

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대학가 주변 그린캠퍼스 활성화 방안 (The Way of Activating the Green Campus around the University)

  • 음영철
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2016년도 제53차 동계학술대회논문집 24권1호
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    • pp.241-242
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    • 2016
  • 본 연구는 학생 주도 하에 대학가 주변 그린캠퍼스를 활성화하는 방안을 연구한 것이다. 대학가 주변은 주로 학생들이 거주하는 지역으로 넓은 의미에서 그린캠퍼스에 포함될 수 있다. 자원 및 에너지의 절감 차원에서 볼 때 대학가 주변에 분리 쓰레기통 설치는 필요하다. 그러나 설치와 운영에 따른 비용 문제를 해결해야 가능하다. S대학의 사례는 이에 좋은 사례로 볼 수 있다.

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태양에너지를 이용한 농촌 그린빌리지 계획의 경제성 분석에 관한 연구 (A Study on Economic Analysis of Rural Green-village Planning using Solar Energy)

  • 김대식;남상운
    • 한국농공학회논문집
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    • 제52권4호
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    • pp.27-34
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    • 2010
  • 본 연구는 농촌마을을 환경친화적으로 계획하는데 활용할 수 있는 신재생에너지 중에서 태양에너지를 고려한 농촌그린빌리지 디자인에 대한 경제성분석을 목적으로 한다. 이 논문에서는 경제적 측면에서 에너지 수지를 고려하여 세 가지 형태의 연구대상 농촌마을에 대한 분석을 실시하였다. 연구대상 농촌마을들에서 실제로 사용했던 전체 에너지를 태양광 발전으로 대체하기 위한 태양광 발전시스템인 3 kWp의 단위 모듈 (PV 시스템)의 개수들을 마을별로 추정하였다. 경제성 분석에서는 두 개 마을의 순현재가치 (NPV)가 평가기간 25년내에 마이너스 값을 보였으며, 나머지 하나의 마을에서 경제성이 있는 것으로 분석되었다. 정부에서 시설설치 보조금을 60 % 지원해 줄 경우에는 모든 마을에서 25년 내에 경제성이 있는 것으로 평가되었다. 경제성 평가 관련인자들에 대한 민감도 분석을 BC (Benefit/Cost) 비율 변화에 대하여 실시한 결과, 설치비용, 전력판매단가, 할인율, 단가 증가율순으로 높은 변화율을 보였다. 본 연구의 결과는 태양에너지가 에너지 재활용이 가능한 농촌마을을 계획함에 있어서 정부의 적절한 지원정책과 에너지 잠재력이 높은 농촌마을을 선별한다면 매우 효과적인 결과를 얻을 수 있다는 것을 보여준 것으로 판단되었다.

제2차 신재생 기본계획과 태양열 보급목표 - 태양열 100만 호 달성 과연 가능한가 - (Solar Thermal Deployment During the 2nd Basic Renewable Period - The Prospect of Million Solar Roof Program : 2003-2012 in Korea -)

  • 김종선;박근성
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2006년도 추계학술대회
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    • pp.168-171
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    • 2006
  • The Korean Solar Thermal Industry hopes to realize 1 Million Solar Thermal Roofs. According to the 2nd Renewable Basic Plan : 2003-2012 the Government showed a very aggressive Solar Thermal Deployment Plan including Solar Thermal Apartment Housings Program. Owing to the Vision Statement such as Million Solar Thermal Roofs Program Korean Solar thermal Industry also can bring another shinny days Especially the more solar thermal applications such as to the Apartment Housings and Green Villages could bring a sustainable Solar Society Korea The RPA Program by the 9 Major Non-Private Energy Corporal ions and the RPS Program for the Solar Thermal Energy shall be another useful policy for the realization of Million Solar Korea era.

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에스코국내소식

  • 에너지절약전문기업협회
    • ESCO지
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    • 통권39호
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    • pp.70-73
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    • 2006
  • 클린 에너시 시장 "2015년 1672억 달러로 성장"/대림산업 양주 택지지구에 구역형 집단에너지 사업/산자부 에너지진단의무화 입법예고/동아전람 '제2회 동아 빌딩박람회'참가업제 모집/에너지기술연 제지설비 응축열 재활용 '열교환기'상용화/산자부 환경친화 산업구조개선 법률 개정/미국 냉동공조공학회 이진원 교수·이상민 박사에 최고논문상/광주시 그린빌리지, 수소연료전지 본격가동/대전 신동아파트 소형열병합 ESCO자금 상황 '끝'/기획예산처 교육세 일부 환경,에너 지 분야에 활용/유기태양전지 개방 '청신호'/중소기업청 신기술 제품 공공구매 본격 확대/에노지관리공담 혁신도시 건설을 위한 신·재생에너지보급 촉진 간담 회 개최/산자부 온실가스 배출통계 시스템 구축

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농촌 그린빌리지 계획을 위한 풍력에너지 자원분석 (Assessment of Wind Power Resources for Rural Green-village Planning)

  • 남상운;김대식
    • 농촌계획
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    • 제14권2호
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    • pp.25-32
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    • 2008
  • Wind energy, which is one of renewable energy, would be useful resources that can be applied to making energy recycling villages without using fossil fuels. This study analyzed energy potential on wind power considering weather condition in three rural villages and compared with energy consumption surveyed. A wind turbine system in the 5kW class can generate 26.1%, 73.9% and 39.5% of the yearly mean consumption of electric power per house in Makhyun, Boojang and Soso respectively. A 750kW wind turbine system can generate 1.7%, 30.3% and 22.1% of the total amount of electric power consumption in three study villages respectively. Wind power energy density was too low in Makhyun and Soso, so it is determined that the application of wind turbine system is almost impossible. Wind energy potential was generally low in Boojang either, but it is evaluated that there is a little possibility of wind power generation relatively. For practical application of renewable energy to rural green-village planning, assessment of energy potential for the local area should be preceded.

농촌 그린빌리지 계획을 위한 일별 풍력발전량의 적정확률분포형 추정 (Estimation of the optimal probability distribution for daily electricity generation by wind power in rural green-village planning)

  • 김대식;구승모;남상운
    • 한국농공학회논문집
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    • 제50권6호
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    • pp.27-35
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    • 2008
  • This study aims to estimate the optimal probability distribution of daily electricity generation by wind power, in order to contribute in rural green-village planning. Wind power generation is now being recognized as one of the most popular sources for renewable resources over the country. Although it is also being adapted to rural area for may reasons, it is important to estimate the magnitudes of power outputs with reliable statistical methodologies while applying historical daily wind data, for correct feasibility analysis. In this study, one of the well-known statistical methodology is employed to define the appropriate statistical distributions for monthly power outputs for specific rural areas. The results imply that the assumption of normal distributions for many cases may lead to incorrect decision-making and therefore lead to the unreliable feasibility analysis. Subjective methodology for testing goodness of fit for normal distributions on all the cases in this study, provides possibilities to consider the other various types of statistical distributions for more precise feasibility analysis.

J시 태양열 시범사업의 실태조사.분석에 관한 연구 (A Study on Actual Condition Analysis of Solar Thermal System Demonstrative Enterprise in the J City)

  • 유동철;이두호;이응직
    • 한국태양에너지학회:학술대회논문집
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    • 한국태양에너지학회 2011년도 춘계학술발표대회 논문집
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    • pp.80-85
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    • 2011
  • As the instability of oil prices rose because of the situation in Libya, oil prices worldwide recorded the highest level due to the interference in supply. And so, in the 21st century, increasing efforts are being made to use clean new renewable energy centered on solar energy in accommodation of the cycle of nature instead of being reliant on the oil exporting nations. In order to reduce city energy internationally, the implementation of a low carbon city under the combined cooperation of industrial. construction, new renewable energy and transportation sectors with continuous development centered on low carbon green urban planning is now becoming established as the paradigm of the times. Recently, the government has begun carrying out the One Million Green Home Project, which is a project where the government with the goal of providing one million renewable energy homes by 2020 gives renewable energy subsidization for a partial amount of the standard unit price of installation when solar ray, solar heat, geothermal heat, small wind power or fuel cell energy is used. Thus, through this thesis which studies the state of and surveys the green village at Shingok-ri Songhak-myun Jaecheon-shi, it is the desire that the One Million Green Homes Project will be more efficiently developed and plans for improvement formed so that a high level of satisfaction in the product will be provided.

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농촌그린빌리지 조성을 위한 일별 잠재적 태양광발전량의 적정확률분포형 추정 - 서산지역을 중심으로 - (Estimating Optimal Probability Distributions of Daily Potential Photovoltaic Power Generation for Development of Rural Green-Village by Solar Energy - with Area of Seosan Weather Station -)

  • 김대식;구승모;남상운
    • 한국농공학회논문집
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    • 제50권6호
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    • pp.37-47
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    • 2008
  • Photovoltaic power generation is currently being recognized as one of the most popular sources for renewable resources over the country. Although it is also being adapted to rural area for may reasons, it is important to estimate the magnitudes of power outputs with reliable statistical methodologies, while applying historical daily solar energy data, for correct feasibility analysis. In this study, one of the well-known statistical methodologies is employed to define the appropriate probability distributions for monthly power outputs for the selected rural area, county of Seo-san, province of Chungnam. The results imply that the assumption of normal distributions for several months may lead to incorrect decision-making and therefore lead to the unreliable feasibility analysis. Generalized beta and triangular distributions were found to be superior to normal distribution, when describing monthly probability distributions for daily photovoltaic power. Based on the appropriate distributions resulted from this study, Monte Carlo simulation technique was also applied to provide additional flexible information for the relevant decision makers. This study found out new finding that the probability distributions should be considered to make planning of the photovoltaic power system in rural village unit, in order to give reasonable economic analysis to the decision makers.

농촌지역 정주여건 향상을 위한 재생에너지 이익공유 방식에 관한 연구 - 강원도 철원군 스마트그린빌리지를 중심으로 - (A Study on Renewable Energy Profit-Sharing Method for Improving Residential Conditions in Rural Area - Focused on the Smart Green Village in Cheorwon-gun, Gangwon-do Province -)

  • 유병천;이동희;김정욱
    • 한국농촌건축학회논문집
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    • 제23권1호
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    • pp.9-18
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    • 2021
  • In this study, surveys and data collection on new profit-sharing measures were carried out in order to improve the residential environment and residents' participation in 65 MW large-scale solar power complex located at Munhye 5-ri, Galmal-eup, Cheorwon-gun, Gangwon-do province. From May to September 2018, the presentation and meetings for residents were held and a survey for 67 households were carried out in order to collect profit-sharing data which is sharing profits from solar power project improving residential environment. The results of the survey shows that it needs to improve some obstacles of residential environment in rural areas, such as improvement of living infrastructure at village level, improvement of monotonous leisure activities from the residents' point of view, improvement of economic income sources depending on farm income and Basic Old-age Pensions, inconvenience factors in the unsuitable residential environment due to aging. Based on these findings, this paper suggests that Profit-Sharing solar power complex project has possibilities to improve living environment in rural areas by sharing profits from power generation and residents participating in the project with consensus for need of renewable energy.