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
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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 onsider the other various types of statistical distributions for more precise feasibility analysis.
Abstract
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 onsider the other various types of statistical distributions for more precise feasibility analysis.
참고문헌 (6)
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- 김명래, "풍력발전을 주 에너지원으로 적용한 그린빌리지 디자인", 한국생태환경건축학회 학술발표대회논문집, 통권 : 6, pp.139~147 (2006)
- 남상운, "친환경 농촌마을계획을 위한 주거 에너지 이용실태 조사 분석", 한국농공학회논문집, 49(6), pp.59~66 (2007), 한국농공학회
- 남상운, "농촌 그린빌리지 계획을 위한 풍력에너지 자원분석", 농촌계획, 14(2), pp.25~32 (2008), 한국농촌계획학회
- 농림부, "농촌마을 리모델링 기법개발에 관한 연구 - 농촌마을 신재생에너지 활용방안 연구" (2007), 한국농촌공사 농어촌연구원.
- Evans, Merran, "Statistical Distribution -second edition-", pp.6~151 (1993), John Wiley & Sons, Inc,
