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Hyun Jin Lee,Sang-NamLee,Jong Kyu Kim 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.12
When solar radiation is utilized as a high-temperature heat source, performance simulation of solar concentration systems is important, especially for a central-receiver system that involves a large number of sun-tracking reflectors. To account for the intermittent nature of solar radiation, an annual performance based on 8760 hourly simulations is desirable. Therefore, this study focuses on a more realistic simulation of a central-receiver concentrator system with the Typical meteorological year (TMY) data that typify characteristic meteorological conditions at a specific location. Optical efficiency simulations of the Daegu central-receiver concentrator system were performed with a Monte Carlo ray-tracing method, and the Direct normal irradiance (DNI) in the TMY data set generated from the database of Korea Meteorological Administration (KMA) was evaluated. The TMY data in Daegu show that 80 % of the DNI values are smaller than 500 W/m 2 and the annual insolation of 931 kWh/m 2 /year corresponds to approximately one third of that calculated from the clear-sky DNI model. Monthly optical efficiencies range from 67.8 % in October to 63.2 % in June in the base case. In contrast to the difference in solar insolation, the optical efficiencies based on the clear-sky model are slightly smaller than the efficiencies based on the TMY data, with deviations within approximately 1 %. The small difference implies that the clear-sky model can be substituted when simulation or optimization of the optical efficiency is of interest.
중국 1 MWe급 태양열발전시스템에 대한 기초 운전해석
강용혁(Kang, Yong-Heack),김종규(Kim, Jong-Kyu) 한국신재생에너지학회 2007 한국신재생에너지학회 학술대회논문집 Vol.2007 No.06
DAHAN, the first 1 MWe Solar Power Tower system locates north to Beijing where nearby The Great Wall is now under construction with cooperation between China and Korea. Results in predicting the preliminary performance of this central receiver system are presented in this paper. Operating cycles under some typical weather condition days are simulated and commented. These results can be used to assess the impact of alternative plant designs or operating strategies on annual energy production, with the final objective being to optimize the design of central receiver power plants. Two subsystems are considered in the system simulation: the solar field and the power block. Mathematic models are used to represent physical phenomena and relationships so that the characteristics of physical processes involving these phenomena can be predicted. Decisions regarding the best position for locating heliostats relative to the receiver and how high to place the receiver above the field constitute a multifaceted problem. Four different kinds of field layout are designed and analyzed by the use of ray tracing and mathematical simulation techniques to determine the overall optical performance {eta}_{field} and the spillage {eta}_{spill}.The power block including a Rankine cycle is analyzed by conventional energy balance methods.
Calculation and Analysis of Uncertainty to Domestic Typical Meteorological Year Data
Kim Shin-Young(김신영),Kim Hyun-Goo(김현구),Jang Gil-Soo(장길수),Lee Hyun-Jin(이현진),Kang Yong-Heack(강용혁),Yun Chang-Yeol(윤창열),Kim Chang Ki(김창기),Kang Chu-Shik(강주식),Choi Jong-Oh(최종오) 한국태양에너지학회 2016 한국태양에너지학회 학술대회논문집 Vol.2016 No.10
김신영,김창기,강용혁,윤창열,장길수,김현구 한국태양에너지학회 2019 한국태양에너지학회 논문집 Vol.39 No.3
The reliable Typical Meteorological Year (TMY) data, sometimes called Test Reference Year (TRY) data, are necessary in the feasibility study of renewable energy installation as well as zero energy building. In Korea, there are available TMY data; TMY from Korea Institute of Energy Research (KIER), TRY from the Korean Solar Energy Society (KSES) and TRY from Passive House Institute Korea (PHIKO). This study aims at examining their characteristics by using Principle Component Analysis (PCA) at six ground observing stations. First step is to investigate the annual averages of meteorological elements from TMY data and their standard deviations. Then, PCA is done to find which principle components are derived from different TMY data. Temperature and solar irradiance are determined as the main principle component of TMY data produced by KIER and KSES at all stations whereas TRY data from PHIKO does not show similar result from those by KIER and KSES.