• 제목/요약/키워드: Monthly solar power generation

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Current Status of Solar Power Generation in Jinju City Close to the South Coast and Jeonju City Close to the West Coast

  • Kwang Pyo Hong;Yun-Hi Kim;Gi-Hwan Kim
    • 한국전기전자재료학회논문지
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    • 제36권1호
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    • pp.62-69
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    • 2023
  • Recently, renewable energy has been increasing in Korea to reduce greenhouse gas, and solar power generation, which accounts for the largest proportion of renewable energy, is noteworthy. The government policy will further increase solar power generation. In order to implement the policy, it is important to understand the current status of domestic solar power generation facilities. Therefore, the current status of solar power generation facilities in Jinju city close to the south coast and Jeonju city close to the west coast was investigated and compared. By 2020, 618 solar power plants had been installed in Jeonju city and 269 in Jinju city. However, there is not much difference in the amount of solar power generation for business at 9 GWh. The reason is that Jinju city has a lower population density than Jeonju city, so there are enough places to install a large-scale solar power facilities with a large power generation capacity. Monthly solar power generation was the highest in April in both Jeonju city and Jinju city and the lowest in January. In particular, in December, Jinju city showed more solar power generation than Jeonju city because of the large amount of insolation, long sunshine hours, and few clouds.

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

  • 나혜지;김경석
    • 대한토목학회논문집
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    • 제43권2호
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    • pp.249-258
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    • 2023
  • 태양광발전은 현재 국내 신재생에너지 중 발전량과 설비용량 비중이 가장 크다. 수상태양광은 국내의 육상태양광 발전시설의 여러 가지 단점을 보완한 방식이다. 본 연구는 군산 새만금에 위치한 18.7 MW 시설용량의 수상태양광발전소를 대상으로 발전량을 분석하고자 한다. 기후의 영 향을 많이 받는 태양광발전사업의 특성으로 타당성을 확인하고자 관련 연구자들은 태양광 발전량 예측에 많은 기법들을 적용하였다. 일반적으로 발전량 예측에 필요한 변수들은 사업대상 지역의 경사면 일사량, 발전효율, 패널 설치 면적 등이다. 본 연구는 기상청 과거 10년간의 월 일사량 데이터를 활용하여 태양광 발전량을 분석하였다. 발전량을 예측하기 위해서 몬테카를로 시뮬레이션 기법을 적용하였으며, 태양광 패널의 발전효율과 일사량을 시뮬레이션의 변수들로 사용하였다. 새만금 태양광의 경우, 가장 태양광 발전량이 많은 달은 5월이며, 가장 적은 달은 12월로 예측되었으며, 발전량은 월평균 2.1 GWh이고, 최소 월 발전량은 0.3 GWh, 최대는 5.0 GWh로 분석되었다.

태양광-풍력 복합발전시스템의 경제적 운용을 위한 최적 용량 산정에 관한 연구 (Estimation of the Optimal Generation Capacity of Solar-Wind Hybrid Power System for Economic Operations)

  • 이승철;문운철;권병국;김종환
    • 조명전기설비학회논문지
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    • 제18권3호
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    • pp.156-162
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    • 2004
  • 본 논문에서는 누진전력요금제도 하에서 주어진 부하에 대해 최적의 계통연계형 태양광-풍력 복합발전시스템 용량을 산정하는 기법에 대하여 논한다 일사량 및 풍속의 확률밀도함수를 이용해 복합발전시스템 발전량의 기대치를 구하고, 총수명가 분석법에 기초하여 월별 발전단가를 산정하는 기법과 함께 월사용전력량이 증가함에 따라 전력요금이 급속히 증가하는 누진전력요금구조 하에서 전체 월 전력비용을 최소로 하기 위한 설비용량산정기법에 대하여 논한다. 제안한 기법의 적용가능성을 검토하기 위하여 실제 수도권의 기상데이터를 근거로 하여 본 대학에 설치된 prototype 복합발전시스템을 이용하여 실증연구를 수행하였다.

서울시 햇빛지도 기반의 RPS제도를 고려한 옥상녹화 연계 태양광발전 시스템의 경제성 분석 (Economics Analysis of Photovoltaic Power Generation Linked with Green Roof in Consideration of Seoul Solar Map-based RPS)

  • 김태한;이소담;박정현
    • KIEAE Journal
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    • 제17권1호
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    • pp.77-82
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    • 2017
  • In power supply systems for urban areas, issues such as a progressive tax have escalated recently. In this regard, photovoltaic power generation, which is appraised as an alternative power generation system, is drawing attention increasingly for its high stability and applicability to existing infrastructure. This study assessed the realistic feasibility of photovoltaic power generation and also analyzed the economic benefits expected when it is linked with green roof, which is likely to promote ecological functions in urban areas, based on the Seoul solar map, RPS, and actual monitoring data. The economics analysis of 30kW photovoltaic power generation applied with the monthly average horizontal solar radiation of six grades in the Seoul solar map showed that positive NPV was up to grade 4, while grade 5 or poorer showed negative NPV and indicated that it is difficult to assure appropriate feasibility. Compared with non-afforestation, when green roof was applied, monthly average power improvement efficiency was 7.2% at highest and 3.7% at lowest based on yearly actual monitoring data. The annual average was 5.3%, and the efficiency was high relatively in summer, including September and November. As for the economic benefits expected when 30kw photovoltaic power generation is combined with green roof based on the average horizontal solar radiation of grade 1 in the Seoul solar map, SP has improved 0.2 years to 7.4 years, and EP has improved 0.5 years to 8.3 years.

가정용 태양광/풍력 Hybrid 발전시스템의 모니터링에 관한 연구 (A Study on Monitoring for based-Photovoltaic/Wind power Hybrid Generation System)

  • 정병영;차인수;임중열
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.365-368
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    • 2006
  • The objective of this research is to investigate usage of 3KW photovoltaic-wind power hybrid generation system composed of 500W solar power generator and 400W wind power generator in a parallel circuit. In addition, solar radiation meter and wind monitor have been installed into each generation system to obtain the practical operating data that monitored in monthly, daily and hourly. These data that are independent to weather change and location would provide adequate generation output on average and cope with emergency situation in generation system In conclusion, based on this study, it could be considered for 3KW combined generation system to be gradually propagated to houses and small-size public facilities.

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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.

Building Smart Microgrid Test-Bed를 이용한 전력사용량 패턴 최적화방안 연구 (A Study on the Optimization of Power Consumption Pattern using Building Smart Microgrid Test-Bed)

  • 이상우;강진규;이동하
    • 한국태양에너지학회 논문집
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    • 제34권4호
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    • pp.1-7
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    • 2014
  • The microgrid system is the combination of photovoltaic(PV) array, load, and battery energy storage system. The control strategies were defined as multi-modes of operation, including rest operation without use of battery, power charging, and power discharging, which enables grid connected mode or islanded mode. Photovoltaic power is a problem of the uniformity of power quality because the power generated from solar light is very sensitive to variation of insolation and duration of sunshine. As a solution to the above problem, energy storage system(ESS) is considered generally. There fore, in this study, we did basic research activities about optimization method of the amount of energy used, using a smart microgrid test-bed constructed in building. First, we analyzed the daily, monthly and period energy pattern amount of power energy used, and analyzed PV power generation level which is built on the roof. Utilizing building energy pattern analysis data, we was studied an efficient method of employing the ESS about building power consumption pattern and PV generation.

비정질 실리콘 투과형 태양전지를 적용한 BIPV 시스템 발전 성능에 관한 사례 연구 (A Case Study on the Power Performance Characteristics of Building Integrated PV System with Amorphous Silicon Transparent Solar Cells)

  • 정선미;송종화;이성진;윤종호
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2009년도 춘계학술대회 논문집
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    • pp.49-52
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    • 2009
  • Practical building integrated photovoltaic system built by Kolon E&C has been monitored and evaluated with respect to power generation, which was installed in Deokpyeong Eco Service Area in Deokpyeong, Gyeonggi, Korea. The amorphous silicon transparent PV module in this BIPV system has 44Wp in power output per unit module and 10% of transmittance with the unit dimension with $980mm{\times}950mm$. The BIPV system was applied as the skylight in the main entrance of the building. This study provided the database for the practical application of the transparent thin-film PV module for BIPV system through 11 month monitoring as well as various statistical analyses such as monthly power output and insolation. Average monthly power output of the system was 52.9kWh/kWp/month which is a 60% of power output of the previously reported data obtained under $30^{\circ}$of an inclined PV module facing south(azimuth=0). This lower power output can be explained by the installation condition of the building facing east, west and south, which was resulted from the influence of azimuth.

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가정의 전기 수요를 고려한 태양전지-연료전지 하이브리드 에너지시스템의 경제성 평가 (Economical Feasibility Evaluation of Solar-Fuel Cells in Hybrid Energy System for Domestic Electricity Demands)

  • 이영;최용성;장우새;이경섭
    • 전기학회논문지P
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    • 제59권1호
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    • pp.117-122
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    • 2010
  • The solar cells and fuel cells power are being encouraged to reduce the environmental pollution and combat the global warming. And the electric generation hybrid system is usually more reliable and less costly than the systems that use a single source of energy. HOMER provides a platform to design and simulate the power system and then to choose the optimization results. Based on the electricity demand conditions during a year, this paper simulates with the HOMER and performs the monthly average electrical production and the most feasible economical case includes the net present costs and the annualized costs of the hybrid system components.

기상데이터와 웨이블 파라메타를 이용한 풍력에너지밀도분포 비교 (Comparison of Wind Energy Density Distribution Using Meteorological Data and the Weibull Parameters)

  • 황지욱;유기표;김한영
    • 한국태양에너지학회 논문집
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    • 제30권2호
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    • pp.54-64
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    • 2010
  • Interest in new and renewable energies like solar energy and wind energy is increasing throughout the world due to the rapidly expanding energy consumption and environmental reasons. An essential requirement for wind force power generation is estimating the size of wind energy accurately. Wind energy is estimated usually using meteorological data or field measurement. This study attempted to estimate wind energy density using meteorological data on daily mean wind speed and the Weibull parameters in Seoul, a representative inland city where over 60% of 15 story or higher apartments in Korea are situated, and Busan, Incheon, Ulsan and Jeju that are major coastal cities in Korea. According to the results of analysis, the monthly mean probability density distribution based on the daily mean wind speed agreed well with the monthly mean probability density distribution based on the Weibull parameters. This finding suggests that the Weibull parameters, which is highly applicable and convenient, can be utilized to estimate the wind energy density distribution of each area. Another finding was that wind energy density was higher in coastal cities Busan and Incheon than in inland city Seoul.