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백인수,Paek, In-Su 한국음향학회 2009 韓國音響學會誌 Vol.28 No.1
정재파 열음향 냉각기의 스텍에서의 온도 구배와 냉각기 효율의 관계에 대한 연구를 수행하였다. 스택에서의 로트식 (Rott Equation) 을 이용하여, 스택을 통과하는 엔탈피 플럭스의 크기가 크게 되면, 스택에서의 온도구배가 비선형의 특성을 나타내는 것을 밝혀내었다. 또한 이런 비선형의 스택 온도구배가 열음향 냉각기의 냉각 효율을 저하시키는 것을 확인하였다. 1/4 파장의 정재파 열음향 냉각기를 이용한 시뮬레이션을 통해, 특정길이의 스택에 대해 냉각 용량이 커질수록, 또한 특정냉각 용량에 대해, 스택의 길이가 길어질수록 비선형의 스택 온도구배가 크게 일어남을 알아낼 수 있었다. Investigations of the relation between the stack temperature profile of a standing wave thermoacoustic cooler and the cooling efficiency were performed. Based on the mathematical derivations using the Rott Equation, it was found that the temperature profile along the stack becomes nonlinear as the enthalpy flux passing through the stack increases. It was also found that such nonlinear temperature profiles lower the cooling efficiency. Simulations using a thermoacoustic simulation program called DELTAE showed that the nonlinear temperature profile occurs with a long stack and large cooling load.
김현기(Kim Hyeon-Gi),김병민(Kim Byeong-Min),백인수(Paek In-Su),유능수(Yoo Neung-Soo),김현구(Kim Hyun-Goo) 한국태양에너지학회 2011 한국태양에너지학회 논문집 Vol.31 No.5
In this study we performed a sensitivity analysis to see how the true north error of a wind direction vane installed to a meteorological mast affects predictions of the annual-average wind speed and the annual energy production. For this study two meteorological masts were installed with a distance of about 4 km on the ridge in complex terrain and the wind speed and direction were measured for one year. Cross predictions of the wind speed and the AEP of a virtual wind turbine for two sites in complex terrain were performed by changing the wind direction from -45° to 45° with an interval of 5°.A commercial wind resource prediction program WindPRO was used for the study. It was found that the prediction errors in the AEP caused by the wind direction errors occurred up to more than 20% depending on the orography and the main wind direction at that site.
복잡지형에서의 Wind Shear Exponent 예측
김현기(Kim Hyeon-Gi),김병민(Kim Byeong-Min),김진한(Kim Jin-han),백인수(Paek In-Su),유능수(Yoo Neung-Soo) 한국태양에너지학회 2012 한국태양에너지학회 논문집 Vol.32 No.2
In this study, we found a relationship between wind shear exponent, α, and a few factors such as the wind speed, V, ruggedness index(RIX), and the Weibull shape parameter, k of sites in complex terrain in Korea. Wind shear exponents in main wind directions were calculated using wind speed data measured for one year from various heights of eleven meteorological masts in Gangwon province. It was found from the analysis that the reciprocal of the wind shear exponent can be expressed by an exponentially decaying function with respect to a multiple of V, RIX and k. This result is considered useful to be used to characterize wind characteristics of specific sites in complex terrain in Korea with limited information.
오용운(Yong Oon Oh),백인수(In Su Paek),남윤수(Yoon Su Nam),라요한(Yo Han La) 한국태양에너지학회 2014 한국태양에너지학회 논문집 Vol.34 No.1
A study on the available power of a wind turbine to be used for wind farm control was performed in this study, To accurately estimate the available power it is important to obtain a suitable wind which represents the three dimensional wind that the wind turbine rotor faces and also used to calculate the power. For this, two different models, the equivalent wind and the wind speed estimator were constructed and used for dynamic simulation using matlab simulink. From the comparison of the simulation result with that from a commercial code based on multi-body dynamics, it was found that using the hub height wind to estimate available power from a turbine results in high frequency components in the power prediction which is, in reality, filtered out by the rotor inertia. It was also found that the wind speed estimator yielded less error than the equivalent wind when compared with the result from the commercial code.
Investigation on Selecting Optimal Wind Turbines in the Capacity Factor Point of View
Woo Jae-kyoon(우재균),Kim Byeong-min(김병민),Paek In-su(백인수),Yoo Neung-soo(유능수),Nam Yoon-su(남윤수) 한국태양에너지학회 2011 한국태양에너지학회 논문집 Vol.31 No.5
Selecting optimal wind turbine generators for wind farm sites in the capacity factor point of view is performed in this study. A program to determine the best wind turbine generator for the maximum capacity factor for a site was developed. The program uses both the wind characteristics of the site of interest and the power curves of the wind turbines. The program developed was applied to find out optimal wind turbine generators of three different sites in complex terrain and successfully yielded the best site dependent wind turbine generators. It was also used to determine the best wind turbine generator of the wind farm currently operating in Korea and proved its usefulness. The program and methodology developed in this study considered to be very useful at the initial design stage of the wind farm to determine the best wind turbine generators for the site of interest.
AEP Prediction of a Wind Farm in Complex Terrain
Woo, Jae-kyoon(우재균),Kim, Hyeon-gi(김현기),Kim, Byeong-min(김병민),Paek, In-su(백인수),Yoo, Neung-soo(유능수),권일한 한국태양에너지학회 2012 한국태양에너지학회 논문집 Vol.32 No.6
The annual energy production of Gangwon wind farm was predicted for three consecutive years of 2007, 2008 and 2009 using commercial programs, WindPRO and WindSim which are known to be used the most for wind resource prediction in the world. The predictions from the linear code, WindPRO, were compared with both the actual energy prediction presented in the CDM (Clean Development Mechanism) monitoring report of the wind farm and also the predictions from the CFD code, WindSim. The results from WindPRO were close to the actual energy productions and the errors were within 11.8% unlike the expectation.The reason for the low prediction errors was found to be due to the fact that although the wind farm is located in highly complex terrain, the terrain steepness was smaller than a criticalangle(21.8°) in front of the wind farm in the main wind direction. Therefore no flow separation was found to occur within the wind farm. The flow separation of the main wind was found to occur mostly behind the wind farm.
다중 배제분석을 이용한 강원도 내 풍력발전단지 유망후보지 선정
박웅식(Park Ung-Sik),유능수(Yoo Neung-Soo),김진한(Kim, Jin-Han),김관수(Kim Kwan-Soo),민덕호(Min Deok-Ho),이상우(Lee Sang-Woo),백인수(Paek In-Su),김현구(Kim Hyun-Goo) 한국태양에너지학회 2015 한국태양에너지학회 논문집 Vol.35 No.2
Promising onshore wind farm sites in Gangwon province of Korea were investigated in this study. Gangwon province was divided into twenty five simulation regions and a commercial program based on Reynolds averaged Navier-Stokes equation was used to find out wind resource maps of the regions. The national wind atlas with a period 2007-2009 developed by Korea institute of energy research was used as climatologies. The wind resource maps were combined to construct a wind resource map of Gangwon province with a horizontal spatial resolution of 100m. In addition to the wind resource, national environmental zoning map, distance from substation, residence and automobile road, Beakdudaegan mountain range, terrain slope, airport and military reservation district were considered to find out promising wind farm sites. A commercial wind farm design program was used to find out developable wind farm capacities in promising wind farm site with and without excluding environmental protection regions. The total wind farm capacities with and without excluding the protection regions were estimated to be 46MW and 598MW, respectively, when a 2MW commercial wind turbine was employed.
사이드 펄링과 최적 토크스케줄을 고려한 소형 풍력터빈 해석 프로그램 개발
장현무(Jang Hyeon-Mu),김동명(Kim Dong-Myeong),백인수(Paek In-Su) 한국태양에너지학회 2018 한국태양에너지학회 논문집 Vol.38 No.2
A program to design a small capacity wind turbine blade is proposed in this study. The program is based on a matlab GUI environment and designed to perform blade design based on the blade element momentum theory. The program is different from other simulation tools available in a point that it can analyze the side-furling power regulation mechanism and also has an algorithm to find out optimal torque schedule above the rated wind speed region. The side-furling power regulation is used for small-capacity horizontal axis wind turbines because they cannot use active pitch control due to high cost which is commonly used for large-capacity wind turbine. Also, the torque schedule above the rated wind speed region should be different from that of the large capacity wind turbines because active pitching is not used. The program developed in this study was validated with the results with FAST which is the only program that can analyze the performance of side-furled wind turbines. For the validation a commercial 10 kW wind turbine data which is available in the literature was used. From the validation, it was found that the performance prediction from the proposed simple program is close to those from FAST. It was also found that the optimal torque scheduling from the proposed program was found to increase the turbine power substantially. Further experimental validation will be performed as a future work.
김병민(Kim, Byung-Min),김현기(Kim, Hyun-Gi),권순열(Kwon, Soon-Yeol),유능수(Yoo, Neung-Soo),백인수(Paek, In-Su) 강원대학교 산업기술연구소 2015 産業技術硏究 Vol.35 No.1
Two extreme wind speed prediction models, the EWM(Extreme wind speed model) in IEC61400-1 and the Gumbel method were compared in this study. The two models were used to predict extreme wind speeds of six different sites in Korea and the results were compared with long term wind data. The NCAR reanalysis data were used for inputs to two models. Various periods of input wind data were tried from 1 year to 50 years and the results were compared with the 50 year maximum wind speed of NCAR wind data. It was found that the EWM model underpredicted the extreme wind speed more than 5 % for two sites. Predictions from Gumbel method overpredicted the extreme wind speed or underpredicted it less than 5 % for all cases when the period of the input data is longer than 10 years. The period of the input wind data less than 3 years resulted in large prediction errors for Gumbel method. Predictions from the EWM model were not, however, much affected by the period of the input wind data.