• 신재생에너지
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• 제20권1호
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• pp.88-94
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• 2024

This study explored the potential and implementation of renewable energy sources in Sri Lanka, focusing on the theoretical potential of solar and wind energy to develop self-reliant energy models. Using advanced climate data from the European Centre for Medium-Range Weather Forecasts and Global Solar/Wind Atlas provided by the World Bank, we assessed the renewable energy potential across Sri Lanka. This study proposes off-grid and minigrid systems as viable solutions for addressing energy poverty in rural regions. Rural villages were classified based on solar and wind resources, via which we proposed four distinct energy self-reliance models: Renewable-Dominant, Solar-Dominant, Wind-Dominant, and Diesel-Dominant. This study evaluates the economic viability of these models considering Sri Lanka's current energy market and technological environment. The outcomes highlight the necessity for employing diversified energy strategies to enhance the efficiency of the national power supply system and maximize the utilization of renewable resources, contributing to Sri Lanka's sustainable development and energy security.

• 한국전자통신학회논문지
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• 제17권6호
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• pp.1145-1156
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• 2022

대규모 해상풍력단지 개발을 위한 입지 적합성을 효과적으로 확보하기 위해서는 개발로 인한 환경영향을 최소화하고 사회적·생태적·경제적 핵심가치에 대한 편익 상충에 대한 분석이 필수적이다. 또한 해양공간계획상 타 용도구역과 충돌하지 않도록 입지 적정성에 대한 사전검토가 반드시 선행되어야 하며, 추가로 전남 해역 인근의 풍력자원을 포함한 국지적인 기상 특성 분석도 사업타당성 조사 이전에 수행되어야 할 필요가 있다. 이에 영광군 안마도 인근 왕등여에 설치된 기상탑의 관측자료를 활용하여 풍력자원분석을 수행하였고, 해상풍력 단지 입지 관련 지리적 제약조건을 배제한 후 최적 입지구역을 선정하였다. 또한, 국지적 풍력자원 특성에 적합한 풍력단지 최적배치 결과를 WindSim 기반으로 도출하여 연간발전량을 산출하였으며, 향후 해상풍력 프로젝트의 입지발굴 및 적합지 선정에 기초연구자료로 활용하고자 한다.

• Journal of Electrical Engineering and Technology
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• 제10권5호
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• pp.1930-1939
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• 2015

Wind power planning aims to locate and size wind farms optimally. Traditionally, wind power planners tend to choose the wind farms with the richest wind resources to maximize the energy benefit. However, the capacity benefit of wind power should also be considered in large-scale clustered wind farm planning because the correlation among the wind farms exerts an obvious influence on the capacity benefit brought about by the combined wind power. This paper proposes a planning model considering both the energy and the capacity benefit of the wind farms. The capacity benefit is evaluated by the wind power capacity credit. The Ordinal Optimization (OO) Theory, capable of handling problems with non-analytical forms, is applied to address the model. To verify the feasibility and advantages of the model, the proposed model is compared with a widely used genetic algorithm (GA) via a modified IEEE RTS-79 system and the real world case of Ningxia, China. The results show that the diversity of the wind farm enhances the capacity credit of wind power.

• Journal of Electrical Engineering and Technology
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• 제9권3호
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• pp.820-826
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• 2014

It is well known that energy generated by a wind generator (WG) depends on the wind resources at the installation site. In other words, a WG installed in a high wind speed area can produce more energy than that in a low wind speed area. However, a WG installed at a low wind site can produce a similar amount of energy to that produced by a WG installed at a high wind site if the WG is designed with a rated wind speed corresponding to the mean wind speed of the site. In this paper, we investigated the power curve of a WG suitable for Korea's southwestern coast with a low mean wind speed to achieve a high capacity factor (CF). We collected the power curves of the 11 WGs of the 6 WG manufacturers. The probability density function of the wind speed on Korea's southwestern coast was modeled using the Weibull distribution. The annual energy production by the WG was calculated and then the CFs of all of the WGs were estimated and compared. The results indicated that the WG installed on the Korea's southwestern coast could obtain a CF higher than 40 % if it was designed with the lower rated speed corresponding to the mean wind speed at the installation site.

• 신재생에너지
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• 제6권1호
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• pp.20-28
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• 2010

Developing the offshore wind farm is essential to meet the national target of the renewable energy and to achieve the green growth in Korea. In this context, KEPRI is now carrying the feasibility study for introducing the offshore wind fam in Korea. Accordingly, it is required to formulate an appropriate strategy, this paper mainly discuss, for this goal. First of all, several preliminary sites for the offshore wind farm are selected based on the evaluation criteria presented herein. In addition, the domestic sub-technological level of key technology sectors associated with the offshore wind power is analyzed. It includes the industries related to wind turbine, grid integration, structural design and construction. Integrating these results, we propose a strategy in order to successfully develop the first offshore wind farm more than 100-MW class in the south-western sea area of Korea.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2011년도 춘계학술대회 초록집
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• pp.59.2-59.2
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• 2011

Although there are many activities on the construction of wind farm to produce amount of power from the wind, in practice power productions are not as much as its expected capabilities. This is because a lack of both the prediction of wind resources and the aerodynamic analysis on turbines with far wake effects. In far wake region, there are velocity deficits and increases of the turbulence intensity which lead to the power losses of the next turbine and the increases of dynamic loadings which could reduce system's life. The analysis on power losses and the increases of fatigue loadings in the wind farm is needed to prevent these unwanted consequences. Therefore, in this study velocity deficits have been predicted and aerodynamic analysis on turbines in the far wake is carried out from these velocity profiles. Ainslie's eddy viscosity wake model is adopted to determine a wake velocity and aerodynamic analysis on wind turbines is predicted by the numerical methods such as blade element momentum theory(BEMT) and vortex lattice method(VLM). The results show that velocity recovery is more rapid in the wake region with higher turbulence intensity. Since the velocity deficit is larger when the turbine has higher thrust coefficient, there is a huge aerodynamic power loss at the downstream turbine.

• 에너지공학
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• 제20권2호
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• pp.143-153
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• 2011

해상풍력발전은 가장 유망한 재생 에너지의 하나이며, 육상풍력발전보다 풍력이 강력하고 일정해서 장시간 고출력 발생이 가능하고 소음, 공간적 한계, 경관훼손 등 기존 육상풍력발전의 단점을 보완하고 초대형으로 제작할 수 있다. 우리나라는 3면이 바다로 둘러싸여 해상풍력자원이 풍부하고 발전가능성이 크다. 이 고찰은 해상풍력발전기의 터빈과 하부구조물 기술동향, 국내외 시장동향, 학술 및 특허정보를 분석하였다.

• 신재생에너지
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• 제9권1호
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• pp.60-68
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• 2013

In recent years, green house effect related natural disasters occur throughout the world. Carbon dioxide, mainly comes from the fossil fuel burning, is suspected to be the cause of green house effect. To reduce the emission of carbon dioxide, we need to find alternative energy resources such as photovoltaic energy. In this paper, the basic characteristics of wind force coefficient on a PV panel installed on the floating type PV energy generation system are investigated though the two-dimensional wind tunnel tests. Test variables included the angle of PV panel, direction of wind, number of rows of PV panel and attached or not attached frame. Based on the results obtained through the wind tunnel tests, it was found that the wind force coefficient can be used as a preliminary data in the design of the structure.

• 한국태양에너지학회 논문집
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• 제32권4호
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• pp.17-23
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• 2012

The installed capacity of wind turbines in Korea are growing and enlarging by the central government's supporting program. But the majority area having the abundant wind energy resources is composed of mountainous and complex district, thus the turbulence intensity of there is so high and belongs to the turbulence characteristic A category of IEC design requirement. This paper presents the effect of the turbulence intensity on the power performance of a wind turbine system. Particularly, the effect of the power curve of the wind turbine system due to the turbulence intensity has analyzed. As a result, the power curve has a high turbulence characteristic shows the lower value than normal one in high wind speed regime and the AEP will be reduced at the relatively high turbulence area.

• Wind and Structures
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• 제9권1호
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• pp.37-58
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• 2006

The paper describes a study about effects of upstream hills on design wind loads using two mathematical approaches: Computational Fluid Dynamics (CFD) and Artificial Neural Network (NN for short). For this purpose CFD and NN tools have been developed using an object-oriented approach and C++ programming language. The CFD tool consists of solving the Reynolds time-averaged Navier-Stokes equations and $k-{\varepsilon}$ turbulence model using body-fitted nearly-orthogonal coordinate system. Subsequently, design wind load parameters such as speed-up ratio values have been generated for a wide spectrum of two-dimensional hill geometries that includes isolated and multiple steep and shallow hills. Ground roughness effect has also been considered. Such CFD solutions, however, normally require among other things ample computational time, background knowledge and high-capacity hardware. To assist the enduser, an easier, faster and more inexpensive NN model trained with the CFD-generated data is proposed in this paper. Prior to using the CFD data for training purposes, extensive validation work has been carried out by comparing with boundary layer wind tunnel (BLWT) data. The CFD trained NN (CFD-NN) has produced speed-up ratio values for cases such as multiple hills that are not covered by wind design standards such as the Commentaries of the National Building Code of Canada (1995). The CFD-NN results compare well with BLWT data available in literature and the proposed approach requires fewer resources compared to running BLWT experiments.