• Title/Summary/Keyword: 신재생에너지 발전

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Implementation of machine learning-based prediction model for solar power generation (빅데이터를 활용한 머신러닝 기반 태양에너지 발전량 예측 모델)

  • Jong-Min Kim;Joon-hyung Lee
    • Convergence Security Journal
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    • v.22 no.2
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    • pp.99-104
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    • 2022
  • This study provided a prediction model for solar energy production in Yeongam province, Jeollanam-do. The model was derived from the correlation between climate changes and solar power production in Yeongam province, Jeollanam-do, and presented a prediction of solar power generation through the regression analysis of 6 parameters related to weather and solar power generation. The data used in this study were the weather and photovoltaic production data from January in 2016 to December in 2019 provided by public data. Based on the data, the machine learning technique was used to analyzed the correlation between weather change and solar energy production and derived to the prediction model. The model showed that the photovoltaic production can be categorized by the three-stage production index and will be used as an important barometer in the agriculture activity and the use of photovoltaic electricity.

Carbon control and environmental policy in the U.K. : A reappraisal of strategies for the green state (영국의 탄소규제와 환경정책 : 녹색국가 전략의 재평가)

  • Choi, Byung-Doo;Shin, Hae-Ran
    • Journal of the Korean association of regional geographers
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    • v.19 no.2
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    • pp.301-323
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    • 2013
  • The government of the UK since the 1990, especially under the new Labour Party, has pursued sustainable development or carbon control as a core strategy for its national development. The seemingly prominent environmental policy for 'greening the government' of the UK as well as considerable achievements in energy and environment indices have attracted much attentions of policy makers and researchers for the 'low carbon green growth' in Korea. This paper tries to see the character of carbon control and environmental policy in the UK not merely as the integrating or mainstreaming policy but a new strategy for national development, that is, for the 'ecologically modernized' state, eco-state, or green state. It defines the environmental policy for carbon control in the UK as the strategy for the green state which has provided it as a principal guide for integrating national policies as a whole, and which has pursued it through market-dependent neoliberal measures. From this point of view, this paper introduces the development process of carbon control and environmental policy mainly under the new Labour Party government in the UK, and gives a reappraisal of both its policy and of energy-environment indices.

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Development of artificial neural network based modeling scheme for wind turbine fault detection system (풍력발전 고장검출 시스템을 위한 인공 신경망 기반의 모델링 기법 개발)

  • Moon, Dae Sun;Ra, In Ho;Kim, Sung Ho
    • Smart Media Journal
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    • v.1 no.2
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    • pp.47-53
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    • 2012
  • Wind energy is currently the fastest growing source of renewable energy used for electrical generation around world. Wind farms are adding a significant amount of electrical generation capacity. The increase in the number of wind farms has led to the need for more effective operation and maintenance procedures. Condition Monitoring System(CMS) can be used to aid plant owners in achieving these goals. In this work, systematic design procedure for artificial neural network based normal behavior model which can be applied for fault detection of various devices is proposed. Furthermore, to verify the design method SCADA(Supervisor Control and Data Acquisition) data from 850kW wind turbine system installed in Beaung port were utilized.

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Study on Artificial Neural Network Based Fault Detection Schemes for Wind Turbine System (풍력발전 시스템을 위한 인공 신경망 기반의 고장검출기법에 대한 연구)

  • Moon, Dae-Sun;Kim, Sung-Ho
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.5
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    • pp.603-609
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    • 2012
  • Wind energy is currently the fastest growing source of renewable energy used for electrical generation around world. Wind farms are adding a significant amount of electrical generation capacity. The increase in the number of wind farms has led to the need for more effective operation and maintenance procedures. Condition Monitoring System(CMS) can be used to aid plant owners in achieving these goals. Its aim is to provide operators with information regarding the health of their machines, which in turn, can help them improve operational efficiency. In this work, systematic design procedure for artificial neural network based normal behavior model which can be applied for fault detection of various devices is proposed. Furthermore, to verify the design method SCADA(Supervisor Control and Data Acquisition) data from 850KW wind turbine system installed in Beaung port were utilized.

Cost.Benefit Risk Based Purchase Pricing Process Model for Feed in Tariffs of Photovoltaic Power Projects (비용.수익 리스크 기반 태양광사업 발전차액지원 기준가격 산정 프로세스 모델)

  • Kim, Se-Jong;Koo, Kyo-Jin
    • Korean Journal of Construction Engineering and Management
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    • v.11 no.1
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    • pp.113-121
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    • 2010
  • Since the cut-down of the purchasing price of the feed in tariff(FIT) in 2008, the numbers of photovoltaic projects get decreased, contrary to investment expansion policy of government on renewable energy. The root cause of the decrease is the irrationality of the current purchasing price structure of FIT as well as the adversity of fund raising due to the global financial crisis. This study proposes the FIT calculating model (Cost & Benefit Risk Based Purchase Price Process : CBRP3) reflecting the fluctuation of cost and benefit risks. The first step is to establish the photovoltaic generation alternatives, and to calculate each distribution data of the investment and the power generation quantity. The FIT for each alternative is, then, assessed through simulations. Finally the proposed FIT scheme is compared to the present FIT scheme and future study subjects are derived.

Study on Generation Volume of Floating Solar Power Using Historical Insolation Data (과거 일사량 자료를 활용한 수상태양광 발전량 예측 연구)

  • Na, Hyeji;Kim, Kyeongseok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.2
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    • pp.249-258
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    • 2023
  • Solar power has the largest proportion of power generation and facility capacity among renewable energy in South Korea. Floating solar power plant is a new way to resolve weakness of land solar power plant. This study analyzes the power generation of the 18.7 MW floating solar power project located in Saemangeum, Gunsan-si. Since the solar power generation has a characteristic that is greatly affected by the climate, various methods have been applied to predict solar power generation. In general, variables necessary for predicting power generation are solar insolation on inclined surfaces, solar generation efficiency, and panel installation area. This study analyzed solar power generation using the monthly solar insolation data from the KMA (Korea Meteorological Administration) over the past 10 years. Monte Carlo simulation (MCS) was applied to predict the solar power generation with the variables including solar panel efficiency and insolation. In the case of Saemangeum solar power project, the most solar power generation was in May, the least was in December, the average solar power generation simulated on MCS is 2.1 GWh per month, the minimum monthly power generation is 0.3 GWh, and the maximum is 5.0 GWh.

Study on Economic Evaluation of Solar Power Plant and Real Estate Asset Management Revenues (태양광 발전소와 부동산 자산 운용 수익의 경제성 평가에 대한 연구)

  • Woo, Je-Teak;Suh, Mi-Ja;Lee, Jae-Hwan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.3
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    • pp.633-642
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    • 2018
  • Solar power plants are rapidly spreading, and various design, development, construction and maintenance related technologies and corporations coexist. In addition to private real estate development, they are also profitable in various forms such as building facilities, land, And continues to operate. In this paper, however, we have reviewed and studied the economic feasibility of photovoltaic power generation system based on the investment of off - the - shelter and mall investment, which is a generalized form of real estate asset management.

Performance of a Horizontal-axis Turbine Based on the Direction of Current Flow (수평축 조류발전 로터의 유향변화에 따른 효율 고찰)

  • Jo, Chul-Hee;Park, Ro-Sik;Yim, Jin-Young;Lee, Kang-Hee
    • Journal of Ocean Engineering and Technology
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    • v.24 no.4
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    • pp.8-12
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    • 2010
  • The use of a tidal-current power system is one source of renewable energy that can minimize the environmental impact of power production and offer many other advantages compared to conventional energy sources. Unlike other energy production approaches, rate of energy production can be precisely predicted and the operational rate is very high. The performance of the rotor, which has a vital role in energy production using tidal currents, is determined by various design factors, and it should be optimized for the specific ocean environment in the field. The horizontal-axis turbine is very sensitive to the direction of flow, and flow direction changes due to rise and fall of the tides. To investigate the performance of the rotor considering the interaction problems with incidence angle of flow, a series of experiments were conducted, and a 3D CFD model was designed and analyzed by ANSYS CFX. The results and findings are summarized in the paper.

A Study on leasing space to install solar power systems Economic Evaluation (임차공간 설치 태양광 발전시스템 경제성 평가에 관한 연구)

  • Seo, Mi-Ja;Lee, Jae-Hwan;Seo, Tae-Won;Han, Myung-Hee;Woo, Je-Teak
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.12
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    • pp.1373-1380
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    • 2015
  • The rapid spread and various design of solar power plants, development, construction, maintenance technology and business coexist variety and price decline and the recent solar power plants built since the early 2010 despite the decline in the power generation unit main equipment Construction of power plants to stabilize the technology has been continuously promoted. Recently, built in the form of a solar power plant to the construction and leasing the roof and upper structure to replace the limited ground space is increasing. Factory roof, studies such as warehouse and logistics center leased space in the roof installed solar plant status and skills, conducted a study to review and analyze the economy.

Design and Analysis of 3 Phase ANPC Circuit Based on SiC Hybrid Module (SiC 소자 기반의 대용량 3상 ANPC 설계 및 분석 기법 연구)

  • Joe, Injoon;Ahn, Sungguk;Kim, Hoyeol;Hwang, Kwangkyu;Koh, Kwangsoo;Lee, Seungwoon;Kang, Hohyun;Kim, Heejung;Kim, Younggeun
    • Proceedings of the KIPE Conference
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    • 2019.11a
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    • pp.190-191
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    • 2019
  • 최근 신재생 에너지와 ESS와 같은 분산 전원의 사용이 점차 늘어나면서, 이들을 제어하는 전력 변환 장치에 대한 기대치는 점점 상승하고 있다. 특히 DC 1500V에 대한 요구 및 고 효율, 고 전력밀도에 대한 요구는 최근 Wide band gap 소자의 발전과 함께 산업계 전반에 주요한 이슈이다. 본 논문은 이러한 요구를 만족하기 위한 Hybrid ANPC의 설계를 논하도록 한다. 구성의 정합성을 확인하기 위해, 손실 분석이 진행될 것이며, 최근 SiC 모듈의 발전 방향인 Press-fit type의 설계에 맞춰 Power PCB 설계를 위한 모의 실험을 진행한다.

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