• Title/Summary/Keyword: Renewable energy system

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A Study on Optimal Capacity Design of Renewable Combined Power System for Energy Self-Sufficient Island (에너지 자립섬을 위한 신재생복합발전시스템의 최적용량 설계에 관한 연구)

  • Chang, Bong-Chul;Moon, Chae-Joo;Chang, Young-Hak;Park, Tae-Sik;Jeong, Moon-Seon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.11
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    • pp.1271-1276
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    • 2015
  • The recent trend is that diesel power generation on islands where its prime cost for power generation is high is replaced by new and renewable energy. Therefore, south Jeolla province is progressing the construction project of self-sufficient islands for the areas where power is supplied by depending on diesel generators, which is the project that power is supplied through eco-friendly energy source using sunlight, wind power and energy storage device etc. However, it is difficult to construct new and renewable energy source with the capacity to respond to the load perfectly due to its environmental and geographical conditions regarding capacity design of new and renewable energy. Besides, Microgrid design considering appropriate capacity design of the system components and efficient operation is required through the analysis of climate conditions and load patterns from the design stage for optimal composition of a hybrid system with economic feasibility. Therefore, this study is aimed to conduct a research on optimal combination, capacity calculation and economic feasibility by comprising a hybrid power generation system which will replace 40% of power generation by diesel as new and renewable energy source for Geomun Island where has more than 300 households and requires expansion of the facility among islands located in southwest coast.

Feasibility Evaluation & Strategy of Replacement of Power Generation Fuel by Using Bio-diesel (바이오 디젤의 발전용 연료화 타당성 평가)

  • Hur, Kwang-Beom;Park, Jung-Keuk;Rhim, Sang-Gyu;Lee, Jung-Bin
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.806-812
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    • 2009
  • Availability of reliable and affordable energy supply is a prerequisite for economic growth. Renewables are the third largest contributor to global electricity production after coal and natural gas and account for a share of 18%. Power generating capacity from renewables has increased to around 900GW by the year 2007. Today biodiesel fuels have been in commercial use in many countries and recently the world-wide biodiesel market has experienced considerable growth, which is partly due to various tax concession programs and other financial incentives. In Korea, biodiesel has already been used for transportation fuel, but not used for power generation fuel yet. Korean government has a strategy for renewable energy propagation, especially the goal of power generation amount by renewable energy is 3% of total power production by 2012. This paper focuses on the feasibility study for adaptability and strategy of using biodiesel as power generation fuel. The study also has the plan to replace the fuel of thermal power plant, gas turbine and distributed power system. As the increase of biodiesel fuel, I look forward to environment-friendly power generation and the strategy of Renewable Portfolio Standards(RPS).

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The Development of an Intelligent Home Energy Management System Integrated with a Vehicle-to-Home Unit using a Reinforcement Learning Approach

  • Ohoud Almughram;Sami Ben Slama;Bassam Zafar
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.87-106
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    • 2024
  • Vehicle-to-Home (V2H) and Home Centralized Photovoltaic (HCPV) systems can address various energy storage issues and enhance demand response programs. Renewable energy, such as solar energy and wind turbines, address the energy gap. However, no energy management system is currently available to regulate the uncertainty of renewable energy sources, electric vehicles, and appliance consumption within a smart microgrid. Therefore, this study investigated the impact of solar photovoltaic (PV) panels, electric vehicles, and Micro-Grid (MG) storage on maximum solar radiation hours. Several Deep Learning (DL) algorithms were applied to account for the uncertainty. Moreover, a Reinforcement Learning HCPV (RL-HCPV) algorithm was created for efficient real-time energy scheduling decisions. The proposed algorithm managed the energy demand between PV solar energy generation and vehicle energy storage. RL-HCPV was modeled according to several constraints to meet household electricity demands in sunny and cloudy weather. Simulations demonstrated how the proposed RL-HCPV system could efficiently handle the demand response and how V2H can help to smooth the appliance load profile and reduce power consumption costs with sustainable power generation. The results demonstrated the advantages of utilizing RL and V2H as potential storage technology for smart buildings.

Evaluation of UM-LDAPS Prediction Model for Daily Ahead Forecast of Solar Power Generation (태양광 발전 예보를 위한 UM-LDAPS 예보 모형 성능평가)

  • Kim, Chang Ki;Kim, Hyun-Goo;Kang, Yong-Heack;Yun, Chang-Yeol
    • Journal of the Korean Solar Energy Society
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    • v.39 no.2
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    • pp.71-80
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    • 2019
  • Daily ahead forecast is necessary for the electricity balance between load and supply due to the variability renewable energy. Numerical weather prediction is usually employed to produce the solar irradiance as well as electric power forecast for more than 12 hours forecast horizon. UM-LDAPS model is the numerical weather prediction operated by Korea Meteorological Administration and it generates the 36 hours forecast of hourly total irradiance 4 times a day. This study attempts to evaluate the model performance against the in situ measurements at 37 ground stations from January to May, 2013. Relative mean bias error, mean absolute error and root mean square error of hourly total irradiance are averaged over all ground stations as being 8.2%, 21.2% and 29.6%, respectively. The behavior of mean bias error appears to be different; positively largest in Chupoongnyeong station but negatively largest in Daegu station. The distinct contrast might be attributed to the limitation of microphysics parameterization for thick and thin clouds in the model.

Interconnection Capacity Evaluation of Distributed Resources at the Distribution Networks in View of Distribution Protection Coordination (배전계통의 보호협조측면에서 본 분산전원 연계용량 검토)

  • Choi, Joon-Ho;Ro, Kyoung-Soo;Park, Sung-Jun;Song, Kyung-Bin;Yun, Sang-Yun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.21 no.3
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    • pp.107-116
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    • 2007
  • The introduction of new renewable energy is going on increase with the second plan of the Korean Government "Technology Development, Utilization and Popularization of New Renewable Energy". In general, it is connected to the power system due to the nature of it's source characteristics but it's interconnection operation impacts on the power system planning and operation. The operation schemes of the existing power distribution system are based on the unidirectional power flow, but unidirectional power flow changes to bidirectional power flow due to the interconnection operation of new renewable energy. It degrade the existing protection coordination system and power quality of the power distribution system. Thus, the technical evaluation process of the interconnection of new renewable energy are necessary. In this paper, the characteristics of the existing automatic recloser and sectionalizer are reviewed and interconnection capacity evaluation method of the DR(distributed resources) in the existing automatic recloser-sectionalizer protective coordination system are proposed.

A Probabilistic Approach to Small Signal Stability Analysis of Power Systems with Correlated Wind Sources

  • Yue, Hao;Li, Gengyin;Zhou, Ming
    • Journal of Electrical Engineering and Technology
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    • v.8 no.6
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    • pp.1605-1614
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    • 2013
  • This paper presents a probabilistic methodology for small signal stability analysis of power system with correlated wind sources. The approach considers not only the stochastic characteristics of wind speeds which are treated as random variables with Weibull distributions, while also the wind speed spatial correlations which are characterized by a correlation matrix. The approach based on the 2m+1 point estimate method and Cornish Fisher expansion, the orthogonal transformation technique is used to deal with the correlation of wind farms. A case study is carried out on IEEE New England system and the probabilistic indexes for eigenvalue analysis are computed from the statistical processing of the obtained results. The accuracy and efficiency of the proposed method are confirmed by comparing with the results of Monte Carlo simulation. The numerical results indicate that the proposed method can actually capture the probabilistic characteristics of mode properties of the power systems with correlated wind sources and the consideration of spatial correlation has influence on the probability of system small signal stability.

A Introduction Class on the Tidal Power Generation for Elementary School Students by University Students

  • Hwang, Kwang-Il
    • Journal of Engineering Education Research
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    • v.13 no.5
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    • pp.3-7
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    • 2010
  • As 10th energy consumption country in the world, it is very important to educate the importance of the energy to the elementary school students. The purpose of this class is to let the pupils understand the mechanisms and performances of tidal power generation as a renewable energy application system. To satisfy the educational goals, a lecture material and a simple type of tidal power generator kit is developed. As the survey result after lecture and experiments which include assembly and test, 'Well understood' is marked as 90% among 58 elementary students, and moreover 70% among them feel to participate in higher level course. This project shows the possibility and effect of the renewable energy education course as a service engineering, which is managed and carried out by undergraduates for pupils under the professor's guide.

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Analysis and Implementation of a DC-DC Converter for Hybrid Power Supplies Systems

  • Yang, Lung-Sheng;Lin, Chia-Ching
    • Journal of Power Electronics
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    • v.15 no.6
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    • pp.1438-1445
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    • 2015
  • A new DC-DC power converter is researched for renewable energy and battery hybrid power supplies systems in this paper. At the charging mode, a renewable energy source provides energy to charge a battery via the proposed converter. The operating principle of the proposed converter is the same as the conventional DC-DC buck converter. At the discharging mode, the battery releases its energy to the DC bus via the proposed converter. The proposed converter is a non-isolated high step-up DC-DC converter. The coupled-inductor technique is used to achieve a high step-up voltage gain by adjusting the turns ratio. Moreover, the leakage-inductor energies of the primary and secondary windings can be recycled. Thus, the conversion efficiency can be improved. Therefore, only one power converter is utilized at the charging or discharging modes. Finally, a prototype circuit is implemented to verify the performance of the proposed converter.

A study on internal flow characteristics and performance analysis of a micro hydro tubular turbine (소수력발전용 튜블러 수차의 내부유동특성 및 성능해석)

  • Lee, Seung-Yeob;Choi, Young-Do;Hwang, Young-Chul;Lee, Young-Ho
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.11a
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    • pp.606-609
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    • 2009
  • Development of renewable energy is very important because of environmental problems caused by greenhouse effect. This is due to the use of fossil fuels which has serious consequences. Therefore, development of small hydropower can be a good countermeasure for the problems. The small hydropower is clean energy because the small hydropower generates few $CO_2$. Moreover, as the energy density by the small hydropower is high, it is economical for a society which wants to introduce the system. The purpose of this study is to improve the turbine performance. This study is about tubular-type hydro turbine among renewable energy that is based using the different water pressure level in pipe lines. The analysis was performed using the commercial CFD code ANSYS-CFX.

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Biomass to Energy: Renewable Fuel Production Processes for Clean Combustion (바이오매스 에너지화: 청정 연소를 위한 신재생 연료 생산 공정)

  • Jeong, Jaeyong;Kim, Youngdoo;Yang, Won;Lee, Uendo;Jeong, Suhwa;Bang, Byungryul;Moon, Jihong;Hwang, Jeongho;Chang, Wonsuk
    • 한국연소학회:학술대회논문집
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    • 2015.12a
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    • pp.285-285
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    • 2015
  • Utilization of biomass as a substitute fuel for conventional energy systems have been grown larger everyday in the world. In particular, co-firing of biomass in a large coal power plant are common in Korea after the introduction of RPS since 2012, and the application of biomass-derived fuel is now spreading to district heating and power, industrial energy supply, and transportation sectors. For biomass to energy, appropriate conversion process is needed to satisfy the fuel requirements of a specific energy system. In this study, various kinds of thermochemical conversion technologies will be presented for renewable fuel productions from biomass.

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