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    ๊ตฌํ˜• ํ† ๋Ÿฌ์Šค ์žฅ์น˜์—์„œ์˜ ์ €ํ•ญ ๊ฐ€์—ด ๋ฐฉ์ „ ์˜ˆ์ธก์„ ์œ„ํ•œ ์ „์ž๊ธฐ์žฅ ์‹œ๋™ ๋ชจ๋ธ ๊ฐœ๋ฐœ๊ณผ ๊ฒ€์ฆ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์—๋„ˆ์ง€์‹œ์Šคํ…œ๊ณตํ•™๋ถ€, 2023. 2. ํ™ฉ์šฉ์„.A tokamak start-up model is developed to predict ohmic discharges in VEST (Versatile Experiment Spherical Torus) which has been operated at Seoul National University. There is significant electromagnetic effect by the central solenoid, PF coils, and vacuum vessel eddy currents and impurity effect by the plasma wall interaction in overall discharge of VEST. Therefore, it is required to consider these effects for the model development. For development of the tokamak start-up model, a zero dimensional burn-through simulator, DYON is utilized with dedicated atomic processes model at start-up phase. For the prediction of ohmic discharge for VEST-upgrade, validation with comparison between the model and experimental data should be necessary. In the validation step, several plasma parameters such as plasma current and electron temperature & density and filterscope data are utilized for the comparison. The plasma current evolution is one of the important parameters in the model result, which is obtained by the circuit equation. For a reliable result, exact modelling for circuit parameters is required. Several start-up models in previous studies has a limitation for exact calculation of loop voltage as driving source of plasma current. For exact calculation of loop voltage, an electromagnetic analysis which considers a central solenoid, PF coils and vacuum vessel is required. In this research, electromagnetic model is developed and it is validated by utilizing the experimental flux loop data in VEST. Other factors to determine the plasma current evolution are the plasma inductance and resistance. It is found that external inductance with large aspect ratio assumption is invalid to ST plasmas. Therefore, new external inductance for VEST is developed based on the Hirshman model. Also, in STs, effective plasma resistance can be larger than one calculated by classical spitzer model due to the larger trapped particle fraction, called the neoclassical effect. In order to consider this effect, the analytic model derived by O. Sauter is introduced. For exact calculation of neoclassical factor, simulation result by NCLASS which calculates the neoclassical transport is utilized. In the case of confinement model, the previous model with convective transport losses is utilized. The confinement model utilized in the start-up model is confirmed by comparison between the model and experiment in VEST. Main impurity source is set to be carbon. The proper coefficient related to the plasma wall interaction is found with parameter scan simulation and it is utilized in validation and prediction at chapter 4. Validation of the start-up model is conducted in order to confirm the validity of the model in VEST. Ohmic discharges in VEST is divided into three: (1) central solenoid coil current, (2) outer PF coil current and (3) wall conditions. The star-up model can reproduce the ohmic discharges under the above operational conditions with reasonable level. However, there are discrepancies between the model and experiment. For example, it is observed that electron temperature increases during the plasma current ramp-down phase which is thought to be caused by the compressional heating. It is limitation to reproduce this feature by using the present start-up model. Therefore, improvements of the model are needed for better reproduction of experiments in VEST. After the validation, the model is utilized for prediction of ohmic discharges in VEST. According to the prediction result, similar current evolution with the target plasma can be achieved with slow ramp-down of the CS current waveform from 20 kA to -20 kA during 50 ms. However, the wall condition with low hydrogen retention wall is required for the target plasma current. In other words, it is difficult to achieve the target plasma current with present wall conditions after the boronization due to the significant hydrogen retention. Therefore, improvements in wall conditioning methods should be required. The model is utilized for mid-and huge size ST devices, MAST and STEP. The start-up model well reproduces a ohmic discharge conducted in MAST. Also, predictive burn-through simulation is conducted for prediction in STEP which is a huge fusion project on design step in the UK. In this research, new start-up model based on the 0D burn-through simulator is developed for prediction of ohmic discharges in VEST and it is validated in VEST by reproducing the experimental data. After the validation, the model is utilized in prediction of ohmic discharge of VEST. It is confirmed that the model can be utilized regardless of machine specification by the simulation results in MAST and STEP. Even though the start-up model is applied in conventional ohmic discharge in this research, it is expected that the model is utilized for alternative start-up method such as outer PF coil start-up or double plasma merging start-up methods.์„œ์šธ๋Œ€ํ•™๊ต์— ์„ค์น˜๋˜์–ด ์šด์ „์ค‘์ธ ๊ตฌํ˜• ํ† ๋Ÿฌ์Šค ์žฅ์น˜, VEST์—์„œ์˜ ์ €ํ•ญ ๊ฐ€์—ด ํ”Œ๋ผ์ฆˆ๋งˆ ์—…๊ทธ๋ ˆ์ด๋“œ๋ฅผ ์œ„ํ•œ ํ”Œ๋ผ์ฆˆ๋งˆ ์‹œ๋™ ์˜ˆ์ธก์„ ์œ„ํ•˜์—ฌ ํ† ์นด๋ง‰ ์ดˆ๊ธฐ ์‹œ๋™ ๋ชจ๋ธ์ด ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. VEST ์žฅ์น˜์˜ ์ €ํ•ญ ๊ฐ€์—ด ํ”Œ๋ผ์ฆˆ๋งˆ๋Š” ์ค‘์‹ฌ๋ถ€ ์†”๋ ˆ๋…ธ์ด๋“œ, ์™ธ๋ถ€ ํด๋กœ์ด๋‹ฌ ์ž๊ธฐ์žฅ ์ฝ”์ผ ๋ฐ ๋‚ด๋ฒฝ์— ํ๋ฅด๋Š” ์ „๋ฅ˜์— ์˜ํ•œ ์ „์ž๊ธฐ์žฅ ํšจ๊ณผ์™€ ํ”Œ๋ผ์ฆˆ๋งˆ-๋‚ด๋ฒฝ ์ƒํ˜ธ์ž‘์šฉ์— ์˜ํ•œ ๋ถˆ์ˆœ๋ฌผ ์œ ์ž… ์˜ํ–ฅ์„ ํฌ๊ฒŒ ๋ฐ›๊ธฐ ๋•Œ๋ฌธ์— ๋ชจ๋ธ์— ์ด๋Ÿฌํ•œ ํšจ๊ณผ๋“ค์„ ๊ณ ๋ คํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋ชจ๋ธ ๊ฐœ๋ฐœ ๊ณผ์ •์—์„œ ๊ธฐ์กด ์—ฐ๊ตฌ์‚ฌ๋ก€์—์„œ ํ™œ์šฉ๋˜๋˜ ์—ฌ๋Ÿฌ ๋ฌด์ฐจ์› ๊ธฐ๋ฐ˜์˜ ์‹œ๋™ ์ฝ”๋“œ ์ค‘ ์›์ž ํ”„๋กœ์„ธ์Šค๊ฐ€ ์ž˜ ๋ฐ˜์˜์ด ๋˜์–ด์žˆ๋Š” DYON ์ฝ”๋“œ๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ €ํ•ญ ๊ฐ€์—ด ์˜ˆ์ธก์„ ๋ชฉ์ ์œผ๋กœ ํ† ์นด๋ง‰ ์‹œ๋™ ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋ชจ๋ธ์˜ ํƒ€๋‹น์„ฑ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•œ ๊ฒ€์ฆ์ด ํ•„์š”ํ•˜๋‹ค. ๋ชจ๋ธ ๊ฒ€์ฆ ๊ณผ์ •์€ VEST ์žฅ์น˜์—์„œ ์ˆ˜ํ–‰ํ•œ ์—ฌ๋Ÿฌ ์šด์ „ ์กฐ๊ฑด์˜ ์ €ํ•ญ ๊ฐ€์—ด ํ”Œ๋ผ์ฆˆ๋งˆ์—์„œ ํ”Œ๋ผ์ฆˆ๋งˆ ์ „๋ฅ˜, ์ „์ž์˜จ๋„ ์™€ ๋ฐ€๋„, ํ•„ํ„ฐ์Šค์ฝ”ํ”„ ๋ฐ์ดํ„ฐ๋ฅผ ์ƒํ˜ธ๋น„๊ต๋ฅผ ํ†ตํ•ด ์ด๋ฃจ์–ด์กŒ๋‹ค. ์‹œ๋™ ๋ชจ๋ธ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ๋Š” ํ”Œ๋ผ์ฆˆ๋งˆ ์ „๋ฅ˜์™€ ์ „์ž์˜จ๋„ ๋ฐ ๋ฐ€๋„ ์„ฑ์žฅ์ด๋ผ ํ•  ์ˆ˜ ์žˆ๋‹ค. ํ”Œ๋ผ์ฆˆ๋งˆ ์ „๋ฅ˜๋Š” ํšŒ๋กœ๋ฐฉ์ •์‹์„ ํ†ตํ•ด ๊ณ„์‚ฐ์ด ๋˜๋ฉฐ, ํšŒ๋กœ๋ฐฉ์ •์‹์— ์ฃผ์š” ํšŒ๋กœ ๋ณ€์ˆ˜๋“ค์„ ์ •ํ™•ํ•˜๊ฒŒ ๋ชจ๋ธ๋ง ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๊ธฐ์กด ์—ฐ๊ตฌ ์‚ฌ๋ก€์—์„œ๋Š” ํ”Œ๋ผ์ฆˆ๋งˆ ์ „๋ฅ˜๋ฅผ ๋ฐœ์ƒ์‹œํ‚ค๋Š” ์ผ์ฃผ์ „์••์„ ์ •ํ™•ํ•˜๊ฒŒ ๊ณ„์‚ฐํ•˜๋Š”๋ฐ ์žˆ์–ด์„œ ํ•œ๊ณ„๋ฅผ ์ง€๋‹ˆ๊ณ  ์žˆ์—ˆ๋‹ค. ์ •ํ™•ํ•œ ์ผ์ฃผ์ „์••์„ ๊ณ„์‚ฐํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ฃผ์–ด์ง„ ์ฝ”์ผ๊ณผ ์ง„๊ณต์šฉ๊ธฐ ๊ตฌ์กฐ๋ฅผ ๊ณ ๋ คํ•œ ์ „์ž๊ธฐ์žฅ ํ•ด์„์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ด๋ฅผ ์œ„ํ•œ ์ „์ž๊ธฐ์žฅ ํ•ด์„ ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜์˜€์œผ๋ฉฐ VEST ์žฅ์น˜์˜ ํ”Œ๋Ÿญ์Šค ๋ฃจํ”„ ์‹คํ—˜๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ฐœ๋ฐœ๋œ ๋ชจ๋ธ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ํ”Œ๋ผ์ฆˆ๋งˆ ์ „๋ฅ˜ ์„ฑ์žฅ์„ ๊ฒฐ์ •ํ•˜๋Š” ๋‹ค๋ฅธ ์ค‘์š”ํ•œ ์š”์†Œ๋Š” ํ”Œ๋ผ์ฆˆ๋งˆ ์ธ๋•ํ„ด์Šค์™€ ํ”Œ๋ผ์ฆˆ๋งˆ ์ €ํ•ญ์ด๋ผ ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ธฐ์กด์— ๋„“๊ฒŒ ํ™œ์šฉํ•˜๋Š” ์ข…ํšก๋น„๊ฐ€ ํฐ ํ† ์นด๋ง‰ ํ”Œ๋ผ์ฆˆ๋งˆ ๊ฐ€์ •์˜ ์ธ๋•ํ„ด์Šค ๋ชจ๋ธ์ด ๊ตฌํ˜• ํ† ๋Ÿฌ์Šค์—์„œ๋Š” ํƒ€๋‹นํ•˜์ง€ ์•Š๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๊ณ , VEST ํ‰ํ˜• ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ Hirshman ๋ชจ๋ธ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์ƒˆ๋กœ์šด ํ”Œ๋ผ์ฆˆ๋งˆ ์ธ๋•ํ„ด์Šค ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๋˜ํ•œ, ๊ตฌํ˜• ํ† ๋Ÿฌ์Šค์—์„œ๋Š” ํ”Œ๋ผ์ฆˆ๋งˆ ์ €ํ•ญ์ด ๋†’์€ ๊ฐ€๋‘  ์ž…์ž ๋น„์œจ๋กœ ์ธํ•˜์—ฌ ์‹ ๊ณ ์ „ ํšจ๊ณผ์˜ ์˜ํ–ฅ์œผ๋กœ ์ผ๋ฐ˜์ ์ธ ์Šคํ”ผ์ฒ˜ ๋น„์ €ํ•ญ ๋ชจ๋ธ๋กœ ๊ณ„์‚ฐํ•œ ํ”Œ๋ผ์ฆˆ๋งˆ ์ €ํ•ญ๋ณด๋‹ค ํด ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ํšจ๊ณผ๋ฅผ ๊ณ ๋ คํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ํ”Œ๋ผ์ฆˆ๋งˆ๊ฐ€ ํ์ž๊ธฐ๋ฉด์„ ํ˜•์„ฑํ•œ ์ดํ›„ ์˜์—ญ์—์„œ O. Sauter์˜ ํ•ด์„๋ชจ๋ธ์„ ๋„์ž…ํ•˜์—ฌ ํ”Œ๋ผ์ฆˆ๋งˆ์œ ํšจ์ €ํ•ญ์„ ๊ณ„์‚ฐํ•˜์˜€์œผ๋ฉฐ, ์ •ํ™•ํ•œ ์ •๋Ÿ‰์ ์ธ ๊ณ„์‚ฐ์„ ์œ„ํ•˜์—ฌ NCLASS ์ฝ”๋“œ ๊ฒฐ๊ณผ๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ์˜ ๊ฐ€๋‘  ๋ชจ๋ธ์€ ๊ธฐ์กด ์—ฐ๊ตฌ์—์„œ ํ™œ์šฉํ•˜๋˜ ํ•˜์ „์ž…์ž์˜ ๋Œ€๋ฅ˜์— ์˜ํ•œ ์ˆ˜์†ก์†์‹ค ๊ธฐ๋ฐ˜์˜ ๊ฐ€๋‘  ๋ชจ๋ธ์„ ๊ทธ๋Œ€๋กœ ํ™œ์šฉํ•˜์˜€๋‹ค. ํ•ด๋‹น ๋ชจ๋ธ์˜ ํƒ€๋‹น์„ฑ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋ชจ๋ธ๊ณผ ์‹คํ—˜์—์„œ ์–ป์€ ์—๋„ˆ์ง€ ๊ฐ€๋‘  ์‹œ๊ฐ„์„ ๋น„๊ตํ•˜์˜€์œผ๋ฉฐ, VEST ์˜ค๋ฏน ๋ฐฉ์ „ ์ ์šฉ์— ์žˆ์–ด์„œ ํ•ด๋‹น ๋ชจ๋ธ์ด ํ•ฉ๋‹นํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํ”Œ๋ผ์ฆˆ๋งˆ ๋‚ด๋ฒฝ ์ƒํ˜ธ์ž‘์šฉ์˜ ๊ฒฝ์šฐ, ํƒ„์†Œ๋ฅผ ์ฃผ์š” ๋ถˆ์ˆœ๋ฌผ์›์œผ๋กœ ๊ฐ€์ •ํ•˜์—ฌ ์ˆ˜์†Œ ์ด์˜จ์— ์˜ํ•œ ํƒ„์†Œ ์›์ž ๋ฐฉ์ถœ ๊ณ„์ˆ˜๋ฅผ ์ ์ ˆํžˆ ์ฐพ๊ณ  ๊ฒ€์ฆ๊ณผ์ •์—์„œ ์ด๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœ๋œ ์‹œ๋™ ๋ชจ๋ธ์˜ VEST์˜ ์ ์šฉ์„ฑ์— ๋Œ€ํ•œ ํƒ€๋‹น์„ฑ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•˜์—ฌ VEST์˜ ์—ฌ๋Ÿฌ ์˜ค๋ฏน ๋ฐฉ์ „์„ ๋Œ€์ƒ์œผ๋กœ ๊ฒ€์ฆ๊ณผ์ •์ด ์ด๋ฃจ์–ด์กŒ๋‹ค. ์˜ค๋ฏน ๋ฐฉ์ „์€ (1) ์ค‘์‹ฌ๋ถ€ ์†”๋ ˆ๋…ธ์ด๋“œ ์ „๋ฅ˜ ํŒŒํ˜• ์กฐ๊ฑด, (2) ์™ธ๋ถ€ ํด๋กœ์ด๋‹ฌ ์ž๊ธฐ์žฅ ์ฝ”์ผ ์ „๋ฅ˜ ํŒŒํ˜• ์กฐ๊ฑด ๊ทธ๋ฆฌ๊ณ  (3) ํ”Œ๋ผ์ฆˆ๋งˆ ๋‚ด๋ฒฝ ์กฐ๊ฑด์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์—ฌ ์„ ์ •๋˜์—ˆ๋‹ค. ์„ธ ์กฐ๊ฑด ๋ชจ๋‘ ๋ชจ๋ธ์€ ์ „๋ฐ˜์ ์œผ๋กœ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ•ฉ๋‹นํ•œ ์ˆ˜์ค€์œผ๋กœ ์žฌ์ƒ์‚ฐํ•  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํ•˜์ง€๋งŒ, VEST์—์„œ ์ผ๋ฐ˜์ ์œผ๋กœ ํ”Œ๋ผ์ฆˆ๋งˆ ์ „๋ฅ˜๊ฐ€ ํ•˜๋ฝํ•˜๋Š” ๊ตฌ๊ฐ„์—์„œ ์ „์ž ์˜จ๋„๊ฐ€ ์ƒ์Šนํ•˜๋Š” ๊ฒƒ์ด ์ฃผ๋กœ ๊ด€์ธก๋˜์ง€๋งŒ ํ˜„์žฌ ๊ฐœ๋ฐœ๋œ ๋ชจ๋ธ์„ ํ†ตํ•˜์—ฌ ์ด๋ฅผ ์žฌ์ƒ์‚ฐํ•˜๋Š”๋ฐ ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ์ด๋Š” ํ”Œ๋ผ์ฆˆ๋งˆ์˜ ๋ถ€ํ”ผ๊ฐ€ ๊ธ‰๊ฒฉํ•˜๊ฒŒ ์ค„์–ด๋“ค๋ฉด์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฐ€์—ดํšจ๊ณผ๋กœ ์—ฌ๊ฒจ์ง€๋ฉฐ ์ด๋Ÿฌํ•œ ํšจ๊ณผ๋ฅผ ๋ฐ˜์˜ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋ชจ๋ธ์„ ๊ฐœ์„ ์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ๊ฒ€์ฆ๊ณผ์ •์„ ํ†ตํ•ด ์ „๋ฐ˜์ ์ธ ๋ฐฉ์ „ ์„ฑ์žฅ์€ ๋น„๊ต์  ์žฌ์ƒ์‚ฐ์„ ์ž˜ ํ•  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๊ธฐ ๋•Œ๋ฌธ์— ์ƒˆ๋กœ์šด ํƒ€๊ฒŸ ์ „๋ฅ˜ ๋‹ฌ์„ฑ์„ ์œ„ํ•œ ํ”Œ๋ผ์ฆˆ๋งˆ ์˜ˆ์ธก์— ๋ณธ ๋ชจ๋ธ์„ ํ™œ์šฉํ•˜์˜€๋‹ค. ์˜ˆ์ธก ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•˜์—ฌ ์ค‘์‹ฌ๋ถ€ ์†”๋ ˆ๋…ธ์ด๋“œ ์ฝ”์ผ์„ +20 kA ์—์„œ -20 kA ์œผ๋กœ 50 ms ๋™์•ˆ ๊ฐ•ํ•˜์‹œ์ผœ ์ผ์ฃผ์ „์••์„ ๋ฐœ์ƒ์‹œํ‚ฌ ๊ฒฝ์šฐ ํƒ€๊ฒŸ ํ”Œ๋ผ์ฆˆ๋งˆ ์ „๋ฅ˜์™€ ์œ ์‚ฌํ•œ ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋‹ค๋งŒ, ํ”Œ๋ผ์ฆˆ๋งˆ ๋‚ด๋ฒฝ์—์„œ ์ˆ˜์†Œ ๋ฐ ๋ถˆ์ˆœ๋ฌผ ๋ณด์œ  ์ˆ˜์ค€์ด ๋‚ฎ์„ ๊ฒฝ์šฐ๋กœ ์ „์ œ๊ฐ€ ๋˜์—ˆ๋‹ค. ํ˜„์žฌ ์žฅ์น˜์—์„œ ๋ณด๋ก ํ™” ์กฐ๊ฑด์˜ ๋‚ด๋ฒฝ ์ƒํƒœ์—์„œ๋Š” ์ˆ˜์†Œ ๋ณด์œ ๊ฐ€ ๋งค์šฐ ๋†’๊ธฐ ๋•Œ๋ฌธ์— ํƒ€์ผ“ ํ”Œ๋ผ์ฆˆ๋งˆ ์ „๋ฅ˜ ๋‹ฌ์„ฑ์„ ์œ„ํ•ด์„œ๋Š” ์ง„๊ณต ๋‚ด๋ฒฝ ์ปจ๋””์…”๋‹ ๋ฐฉ๋ฒ•์„ ๊ฐœ์„ ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๊ฐœ๋ฐœ๋œ ๋ชจ๋ธ์€ VEST ์žฅ์น˜๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ค‘-๋Œ€ํ˜• ๊ตฌํ˜• ํ† ๋Ÿฌ์Šค ์žฅ์น˜์—์„œ๋„ ์ ์šฉ์ด ๋˜์—ˆ๋‹ค. ์ค‘ํ˜• ๊ตฌํ˜• ํ† ๋Ÿฌ์Šค ์žฅ์น˜์ธ MAST์—์„œ ๋ณธ ๋ชจ๋ธ์˜ ๊ฒ€์ฆ๊ณผ์ •์ด ์ด๋ฃจ์–ด ์กŒ์œผ๋ฉฐ ์˜๊ตญ์—์„œ ์ง„ํ–‰์ค‘์ด๋ฉฐ ์„ค๊ณ„ ๋‹จ๊ณ„์— ์žˆ๋Š” STEP ํ”„๋กœ์ ํŠธ๋ฅผ ์œ„ํ•œ ๋ฒˆ-์Šค๋ฃจ ์˜ˆ์ธก์— ํ™œ์šฉ์ด ๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฌด์ฐจ์›์˜ DYON ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ ๊ธฐ๋ฐ˜์œผ๋กœ VEST ์žฅ์น˜์—์„œ ์ €ํ•ญ ๊ฐ€์—ด ๋ฐฉ์ „ ์˜ˆ์ธก์„ ์œ„ํ•œ ํ† ์นด๋ง‰ ์ดˆ๊ธฐ ์‹œ๋™ ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜์˜€๊ณ , VEST ํ”Œ๋ผ์ฆˆ๋งˆ ๋ฐฉ์ „ ๋Œ€์ƒ์œผ๋กœ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ์žฌ์ƒ์‚ฐํ•˜๋Š” ๊ฒ€์ฆ๊ณผ์ •์„ ๊ฑฐ์ณค๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋ณธ ๋ชจ๋ธ์˜ ํƒ€๋‹น์„ฑ์„ ํ™•์ธํ•˜์˜€๊ณ  ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํƒ€๊ฒŸ ์ „๋ฅ˜๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•œ ํ”Œ๋ผ์ฆˆ๋งˆ ์ „๋ฅ˜ ์˜ˆ์ธก์— ํ™œ์šฉํ•˜์˜€๋‹ค. ๋˜ํ•œ, MAST ๋ฐ STEP ์žฅ์น˜์— ์ ์šฉ์„ ํ†ตํ•˜์—ฌ ๋ณธ ๋ชจ๋ธ์ด ์žฅ์น˜์˜ ์ฐจ์ด์— ์ œ์•ฝ์„ ๋ฐ›์ง€ ์•Š๊ณ  ํญ ๋„“๊ฒŒ ํ™œ์šฉ์ด ๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฐœ๋ฐœ ๋œ ๋ชจ๋ธ์„ ์ค‘์‹ฌ๋ถ€ ์†”๋ ˆ๋…ธ์ด๋“œ์— ์˜ํ•œ ์ €ํ•ญ ๊ฐ€์—ด ๋ฐฉ์ „์— ๊ตญํ•œํ•˜์—ฌ ํ™œ์šฉํ•˜์˜€์ง€๋งŒ, ์™ธ๋ถ€ ์ฝ”์ผ ์‹œ๋™์ด๋‚˜ ์ด์ค‘ ํ”Œ๋ผ์ฆˆ๋งˆ ๋จธ์ง•๊ณผ ๊ฐ™์€ ๋Œ€์•ˆ์ ์ธ ์‹œ๋™ ๋ฐฉ๋ฒ•์—๋„ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋ผ ๊ธฐ๋Œ€ํ•œ๋‹ค.Chapter 1. Introduction 1 1.1. Nuclear Fusion and Tokamaks 1 1.2. Tokamak start-up and its modelling 4 1.3. Motivation 7 1.4. Previous works 11 1.5. Objectives of this research 16 Chapter 2. Compact ST Device, VEST 17 2.1. Ohmic discharge 17 2.2. Equilibrium reconstruction 21 2.2.1. External magnetic diagnostics and wall modelling 22 2.2.2. Procedure of equilibrium reconstruction 28 2.3. Validation diagnostics 33 2.3.1. Thomson scattering 34 2.3.2. Filterscope system 37 Chapter 3. Development of Full Electromagnetic Start-up Model in VEST 39 3.1. Full electromagnetic model 39 3.2.1. Full circuit equation 40 3.2.1. Plasma circuit model 48 3.2. Plasma volume model with Townsend criterion 56 3.3. Confinement model 62 3.4. Plasma wall interaction model 65 Chapter 4. Model Validation and Prediction of Ohmic Discharges in Spherical Torus Devices 67 4.1. Identification of burn-through regime in VEST 68 4.1.1. Experimental operation window in E-field and prefill pressure 68 4.1.2. Reproduction of burn-through region using the start-up model 72 4.2. Time evolution of plasma parameters in ohmic discharges with different operational conditions 75 4.2.1. Ohmic discharges with different central solenoid currents 76 4.2.2. Ohmic discharges with different outer PF coil currents 82 4.2.3. Ohmic discharges with different wall conditioning methods 92 4.3. Prediction of ohmic discharges for VEST-Upgrade 98 4.4. Validation in MAST and prediction in STEP 102 Chapter 5. Conclusions 108 5.1. Summary and conclusions 108 5.2. Future works 110 5.2.1. Preliminary result of small ST formation using the start-up model 110 5.2.2. Future works 113 Bibliography 114๋ฐ•

    ์ •๋ณดํ™”์‹œ๋Œ€์˜ ์ƒํ™œ์–‘์‹ ์ •๋ฆฝ์„ ์œ„ํ•œ ๊ณผ์ œ

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    ๋ณธ๊ณ ๋Š” ์‚ฌ์ด๋ฒ„์ŠคํŽ˜์ด์Šค์˜ ๋“ฑ์žฅ์„ ์ •๋ณดํ™”๋กœ ์ธํ•œ ์ƒํ™œ์–‘์‹์˜ ๋ณ€ํ™”์˜ ์ฃผ์š” ๊ทœ์ •์š”์ธ์œผ๋กœ ๋ณด๊ณ , ์‚ฌ์ด๋ฒ„์ŠคํŽ˜์ด์Šค์˜ ๋“ฑ์žฅ์œผ๋กœ ํ˜„์žฌ ์‚ฌ์ด๋ฒ„์ŠคํŽ˜์ด์Šค ์ƒ์—์„œ์™€ ์‹ค์ œ ์„ธ๊ณ„์—์„œ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋Š” ๋ณ€ํ™”๋“ค์˜ ๋‹จ์ดˆ๋“ค์„ ๊ฒ€ํ† ํ•˜์—ฌ ์ด๋ฅผ ๊ทผ๊ฑฐ๋กœ ์ •๋ณดํ™”์‹œ๋Œ€์˜ ์ƒˆ๋กœ์šด ์ƒํ™œ์–‘์‹ ์ •๋ฆฝ์„ ์œ„ํ•œ ์ œ์–ธ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•œ๋‹ค. ์‚ฌ์ด๋ฒ„์ŠคํŽ˜์ด์Šค์˜ ๋“ฑ์žฅ์œผ๋กœ ์ธํ•œ ๋ณ€ํ™”๋Š” N์„ธ๋Œ€์  ํ˜•ํƒœ, ํด๋Ÿฝํ˜• ์ธ๊ฐ„๊ด€๊ณ„์˜ ๋Œ€๋‘, ์ง์žฅ ๋ฐ ์กฐ์ง์—์„œ ์ผ์˜ ๋ณ€ํ™”, ์‚ฐ์—…ํ™”๋กœ ์™ธํ™”(ๅค–ๅŒ–)ํ•œ ๊ธฐ๋Šฅ์˜ ๊ฐ€์ •์—๋กœ์˜ ๋ณต๊ท€ ๋“ฑ์œผ๋กœ ๋Œ€ํ‘œ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ ์ด๋Š” ์‚ฌ์ด๋ฒ„์ŠคํŽ˜์ด์Šค์˜ ๋“ฑ์žฅ์œผ๋กœ ์‹ค์„ธ๊ณ„์—์„œ์˜ ํ–‰์œ„ ๋ฐ ๊ด€๊ณ„์˜ ์ƒ๋‹น ๋ถ€๋ถ„์ด ์‚ฌ์ด๋ฒ„์ƒ์—์„œ ๊ฐ€๋Šฅํ•˜๊ฒŒ ๋จ์œผ๋กœ ์ธํ•œ ๊ฒƒ์ด๋‹ค. ๋”ฐ๋ผ์„œ ์‚ฌ์ด๋ฒ„์ŠคํŽ˜์ด์Šค์˜ ๊ฑด์‹คํ•œ ์šด์šฉ์ด ํ–ฅํ›„ ์ •๋ณดํ™”์‹œ๋Œ€์˜ ์ƒํ™œ์–‘์‹ ์ •๋ฆฝ๊ณผ ๋ฐ€์ ‘ํ•œ ๊ด€๋ จ์ด ์žˆ๋Š”๋ฐ”, ์ด๋ฅผ ์œ„ํ•ด ๊ตญ๊ฐ€์  ์ฐจ์›์—์„œ๋Š” ์ •๋ณดํ™”์˜ ๋น„์ „์„ ์„ค๋ฆฝํ•˜๊ณ , ์‚ฌํšŒ์  ์ฐจ์›์—์„œ๋Š” ์‚ฌ์ด๋ฒ„์ŠคํŽ˜์ด์Šค์ƒ์— ์ปค๋ฎค๋‹ˆํ‹ฐ๋ฅผ ๊ฑด์„คํ•˜๋ฉฐ, ๊ฐœ์ธ์  ์ฐจ์›์—์„œ๋Š” ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ์ •๋ณด๋ฅผ ์œ ํ†ต์‹œํ‚ค๋Š” ๊ฒƒ์ด ์ •๋ณดํ™”๋กœ ์ธํ•œ ์‚ฌํšŒ๋ฌธํ™”์  ๋ถ€์ž‘์šฉ์„ ์ตœ์†Œํ™”ํ•˜๋ฉฐ ์ƒˆ๋กœ์šด ์ƒํ™œ์–‘์‹์„ ์ •๋ฆฝํ•˜๋Š”๋ฐ ํ•„์ˆ˜์ ์ธ ์„ ํ–‰ ๊ณผ์ œ์ธ ๊ฒƒ์ด๋‹ค. This essay considers cyberspace as a major factor determining life styles in the information age, and reviews the current trends on and off cyberspace to make suggestions toward new life styles in the information age. Major changes taking place along with the advent of cyberspace can be summarized as behavior and attitude typical to N-generation, club-style human relationship, changes in the operation of work place and other similar organizations, and returning of family functions, which have been abandoned by the family due to industrialization, to home. This is due to the fact that a considerable portion of human activity in real space can be carried out in cyberspace. Thus sound use of cyberspace is closely related to establishing new life styles in the information age. For this, I suggest establishing visions of the information age at the national level, building communities in cyberspace at the social level, and communicating with the trustworthy information at the individual level, are prerequisites to minimize the harmful effects of informatization and at the same time establishing new life styles in the information age

    ์ข…์กฑ(ๅฎ—ๆ—)๊ณผ ์‚ฌํšŒ : ํ•œ๊ตญ๊ณผ ์ค‘๊ตญ์˜ ๋น„๊ต

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    ๋™์•„์‹œ์•„ ์‚ฌํšŒ๊ตฌ์กฐ์˜ ์ธ๋ฅ˜ํ•™์  ์—ฐ๊ตฌ๋Š” ์ค‘๊ตญ ์ข…์กฑ(lineage)์— ๋Œ€ํ•œ ํ”„๋ฆฌ๋“œ๋งŒ(Freedman)์˜ ๊ธฐ๋…๋น„์ ์ธ ์ฑ…(1958, 1966) ์ด ์ถœํŒ๋จ์œผ๋กœ ์‹ ๊ธฐ์›์„ ๋งž์ดํ•˜๊ฒŒ ๋œ๋‹ค. ํ”„๋ฆฌ๋“œ๋งŒ์€ ์˜๊ตญ ์‚ฌํšŒ์ธ๋ฅ˜ํ•™์ž๋“ค์ด 1940, 50๋…„๋Œ€์— ์•„ํ”„๋ฆฌ์นด์˜ ์ž๋ฃŒ๋ฅผ ๊ธฐ์ดˆ๋กœ ์ •๋ฆฌํ•œ ์ „ํ˜•์ ์ธ ๋‹จ๊ณ„์ถœ๊ณ„์ง‘๋‹จ(unilineal descent group)์œผ๋กœ์„œ ์ข…์กฑ์˜ ๊ณ ์ „์  ์ธ ๋ชจํ…”์„ ์ค‘๊ตญ์‚ฌํšŒ ์—์„œ ๊ฒ€ํ† ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ํ”„๋ฆฌ๋“œ๋งŒ์ด ์•„ํ”„๋ฆฌ์นด ๋ถ€์กฑ์‚ฌํšŒ์™€ ์ค‘๊ตญ์„ ๋น„๊ตํ•˜๋˜ ์ค‘, ์ค‘๊ตญ์—๋Š” ์˜ˆ๋กœ๋ถ€ํ„ฐ ์ค‘์•™์ง‘๊ถŒ์  ์‚ฌํšŒ๊ฐ€ ์กด์†๋˜์–ด ์˜จ ์‚ฌ์‹ค์— ๊ทผ๊ฑฐํ•˜์—ฌ ํ”„๋ฆฌ๋“œ๋งŒ์€ ์˜๊ตญ ์‚ฌํšŒ์ธ๋ฅ˜ํ•™์ž๋“ค์ด ์ฃผ์žฅํ•˜๋Š” ์ข…์กฑ ๋ชจ๋ธ๊ณผ ์ค‘์•™์ง‘๊ถŒ์  ์ฒด์ œ๊ฐ€ ์–‘๋ฆฝํ•  ์ˆ˜ ์—†๋‹ค๋Š” ๋…ผ์˜๋ฅผ ๋ถ€์ •ํ•  ์ˆ˜ ๋ฐ–์— ์—†์—ˆ๋‹ค. ์ฆ‰ ์•„ํ”„๋ฆฌ์นด ๋ถ€์กฑ์‚ฌํšŒ์—์„œ ์ข…์กฑ์˜ ์‚ฌํšŒ์  ๊ธฐ๋Šฅ ์ค‘ ์ •์น˜์ ์ธ ๊ธฐ๋Šฅ์ด ๊ฐ€์žฅ ์ค‘์š”ํ•œ ๋ฐ” ์ด๋ฅผ ๊ธฐ์ดˆ๋กœ ๋ถ€์กฑ์‚ฌํšŒ์˜ ์ •์น˜์ฒด๊ณ„๋ฅผ ์ด๋ฃจ์–ด ๋‚˜๊ฐ€๋Š” ๊ฒƒ์ด๊ธฐ์— ์ข…์กฑ์€ ์ค‘์•™์ง‘๊ถŒ์  ์‚ฌํšŒ์ฒด์ œํ•˜์—์„œ๋Š” ์กด์žฌํ•  ์ˆ˜ ์—†๋‹ค๋Š” ๋…ผ์˜๋ฅผ ํ”„๋ฆฌ๋“œ๋งŒ์€ ๋ถ€์ •ํ•˜๊ณ , ๋Œ€์‹  ์ค‘๊ตญ์˜ ์ข…์กฑ๋“ค์ด ์–ด๋–ป๊ฒŒ ์ค‘์•™์ง‘๊ถŒ ์  ์‚ฌํšŒ์ฒด์ œ ํ•˜์—์„œ ์กด์†ํ•  ์ˆ˜ ์žˆ์—ˆ๋‚˜์— ๋Œ€ํ•œ ํ•ด์„์„ ์‹œ๋„ํ•˜์˜€๋‹ค. ํ”„๋ฆฌ๋“œ๋งŒ์€ ํ•œ๊ตญ์‚ฌํšŒ์— ๊ด€ํ•ด์„œ๋„ ์ผ๋ถ€ ์–ธ๊ธ‰ํ•˜๋ฉฐ, ์žฅ์ž ์ถœ๊ณ„์˜ ์›๋ฆฌ๊ฐ€ ๋ถ„๋ช…ํ•œ ํ•œ๊ตญ์—์„œ๋Š” ์ข…์กฑ ๋‚ด ์œ„๊ณ„์งˆ์„œ๊ฐ€ ๋ถ„๋ช…ํ•˜๋ฏ€๋กœ ๋‚ด๋ถ€์˜ ๋ถ„์ง€๊ฐ€ ์ค‘๊ตญ์—์„œ ๋งŒํผ ์šฉ์ธ๋˜์ง€ ๋ชปํ–ˆ์„ ๊ฒƒ์œผ๋กœ ๋ณด๊ณ  ์ด๋Ÿฐ ๋งฅ๋ฝ์—์„œ ํ•œ๊ตญ์˜ ์ข…์กฑ์ด ์–ด๋–ป๊ฒŒ ์ค‘์•™์ง‘๊ถŒ์  ์‚ฌํšŒ์ฒด์ œ ํ•˜์—์„œ ์กด์†๋  ์ˆ˜ ์žˆ์—ˆ๋‚˜์— ๋Œ€ํ•ด์„œ๋Š” ๋˜ ๋‹ค๋ฅธ ํ•ด์„์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ์ƒ๊ฐํ–ˆ๋‹ค. ์ž๋„ฌ๋ฆฌ๋ถ€๋ถ€ (Janelli and Janelli 1978)๋Š” ํ•œ๊ตญ ์ข…์กฑ ๋‚ด ๋ถ„์ง€๊ฐ€ ์ค‘๊ตญ๋งŒํผ ํ™œ๋ฐœํ•˜์ง€ ์•Š์•˜๋‹ค๋Š” ์ ์— ๋Œ€ํ•ด์„œ๋Š” ๋™์˜ํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ๊ทธ ์ด์œ ๋Š” ํ”„๋ฆฌ๋“œ๋งŒ์ด ์ƒ๊ฐํ•˜๋“ฏ ํ•œ๊ตญ ์ข…์กฑ์—์„œ ์žฅ์ž์šฐ์„ ์˜ ์›์น™์ด ๋ถ„๋ช…ํ•ด์„œ๊ฐ€ ์•„๋‹ˆ๋ผ, ํ•œ๊ตญ์‚ฌํšŒ์—๋Š” ์ง€์œ„๋ฅผ ์ž…์ฆํ•˜๋Š”๋ฐ ์ œ์•ฝ์ด ์žˆ์—ˆ๊ธฐ ๋•Œ๋ฌธ์ด๋ผ๊ณ  ๋งํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ข…์กฑ๊ณผ ์ด์งˆ ์š”์†Œ๋กœ ๊ตฌ์„ฑ๋œ ์‚ฌํšŒ์ฒด์ œ์˜ ์–‘๋ฆฝ์— ๊ด€ํ•œ ํ”„๋ฆฌ๋“œ๋งŒ๊ณผ ์ž๋„ฌ๋ฆฌ๋ถ€๋ถ€์˜ ๋…ผ์ง€๋ฅผ ๊ธฐ์ดˆ๋กœ ํ•œ๊ตญ๊ณผ ์ค‘๊ตญ์—์„œ ์ข…์กฑ๊ณผ ์‚ฌํšŒ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ์žฌํ‰๊ฐ€ํ•˜๊ณ ์ž ํ•œ๋‹ค

    ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—… ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋†์—…์ƒ๋ช…๊ณผํ•™๋Œ€ํ•™ ์ƒํƒœ์กฐ๊ฒฝยท์ง€์—ญ์‹œ์Šคํ…œ๊ณตํ•™๋ถ€(์ƒํƒœ์กฐ๊ฒฝํ•™), 2023. 2. ์ด๋™๊ทผ.๊ทธ๊ฐ„ ํ•œ๊ตญ ์ •๋ถ€์—์„œ๋Š” ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘์„ ์œ„ํ•ด 1999๋…„๋ถ€ํ„ฐ ํ˜„์žฌ๊นŒ์ง€ ๊ธฐํ›„๋ณ€ํ™” ๊ด€๋ จ ์ •์ฑ… ์ˆ˜๋ฆฝ๊ณผ ๊ตญ๊ฐ€ R&D ํˆฌ์ž ๋“ฑ ์—ฌ๋Ÿฌ ๋ฐฉ๋ฉด์œผ๋กœ ๋…ธ๋ ฅ์„ ํ•ด์™”์œผ๋‚˜ ๊ตญ์ œ์‚ฌํšŒ๋กœ๋ถ€ํ„ฐ๋Š” ๋ถ€์ •์  ํ‰๊ฐ€๋ฅผ ๋ฐ›๊ณ  ์žˆ๋‹ค. ํŠนํžˆ, ๋…์ผ Germanwatch์—์„œ ์‹ค์‹œํ•œ 2022๋…„ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘์ง€์ˆ˜(CCPI)ํ‰๊ฐ€์—์„œ ํ•œ๊ตญ์€ ์ตœํ•˜์œ„๊ถŒ(60์œ„)์˜ ํ‰๊ฐ€๋ฅผ ๋ฐ›์•˜์œผ๋ฉฐ, ๋ฏธ๊ตญ์˜ 2022 EPI (ํ™˜๊ฒฝ์„ฑ ํ‰๊ฐ€)์—์„œ๋„ 63์œ„๋กœ OECD ๊ตญ๊ฐ€ ์ค‘์—์„œ๋Š” ์ตœํ•˜์œ„๊ถŒ์„ ๊ธฐ๋กํ–ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ตญ์ œ์‚ฌํšŒ์˜ ๋ถ€์ •์ ์ธ ํ‰๊ฐ€๋Š” ํ–ฅํ›„ ํƒ„์†Œ๊ตญ๊ฒฝ์„ธ ์‹œํ–‰์— ๋”ฐ๋ฅธ ํ•œ๊ตญ ์‚ฐ์—…๊ณ„์˜ ๋ถ€์ •์  ์˜ํ–ฅ(30๋…„์— 1์กฐ 8,700์–ต์› ์†ํ•ด) EYํ•œ์˜, ๊ธฐํ›„๋ณ€ํ™” ๊ทœ์ œ๊ฐ€ ํ•œ๊ตญ์ˆ˜์ถœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๋ถ„์„ (n.p.: EYํ•œ์˜, 2020), 35. ๊ณผ RE100์— ์˜๊ฑฐํ•œ ์ˆ˜์ž…ํ’ˆ ์ œํ•œ ๋ฐฐ์ •ํ™˜, RE100์ด ํ•œ๊ตญ์˜ ์ฃผ์š” ์ˆ˜์ถœ์‚ฐ์—…์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ(๊ตญ๋ฌธ ์š”์•ฝ๋ฌธ) (n.p.: KDI, 2021), 1. ๋“ฑ ๋‹ค์–‘ํ•œ ๊ฒฝ์ œ์  ์ œํ•œ(Economic restrictions) ๋“ฑ์œผ๋กœ ์ด์–ด์ง€๊ธฐ ๋•Œ๋ฌธ์— ์ˆ˜์ถœ์‚ฐ์—…์ด ์ฃผ๋œ ๊ตฌ์กฐ์ธ ๊ตญ๋‚ด ์‚ฐ์—…์— ๋งค์šฐ ์‹ฌ๊ฐํ•œ ์œ„์ถ•์„ ๊ฐ€์ ธ์˜ฌ ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์—์„œ ์„ ์ œ์  ๋Œ€์‘์ด ํ•„์š”ํ•˜๋‹ค. ๋˜ํ•œ, ์ •๋ถ€ ์ฐจ์›์˜ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ๋…ธ๋ ฅ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๊ธฐํ›„๋ณ€ํ™”๋กœ ์ธํ•œ ๊ตญ๊ฐ€์  ํ”ผํ•ด์•ก(2020๋…„ 1์กฐ 2.585์–ต ์›)์€ ๊ณผ๊ฑฐ์— ๋น„ํ•ด ๋น ๋ฅด๊ฒŒ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ํ”ผํ•ด ์ตœ์†Œํ™”๋ฅผ ์œ„ํ•œ ๊ฒฌ๊ณ ํ•œ ๋Œ€์‘ ์ฒด๊ณ„์˜ ํ™•๋ฆฝ ์‹œ๊ธ‰ํ•˜๋‹ค. ์œ„์˜ ์‚ฌ์‹ค๋กœ ๋ฏธ๋ฃจ์–ด๋ณด์•„ ๊ทธ๊ฐ„ ํ•œ๊ตญ ์ •๋ถ€์˜ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘์„ ์œ„ํ•œ ๋…ธ๋ ฅ ๋Œ€๋น„ ๊ทธ ์„ฑ๊ณผ๋Š” ๋งค์šฐ ์ €์กฐํ•œ ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ์˜ ์›์ธ์€ ์ž˜๋ชป๋œ ์ •์ฑ… ์ˆ˜๋ฆฝ ๋ฐฉํ–ฅ๊ณผ ์ •์ฑ… ์ดํ–‰์„ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•œ ๊ธฐ์ˆ  ๋ถ€์กฑ(ํ˜น์€ ๊ฐœ๋ฐœ๋œ ๊ธฐ์ˆ ์˜ ๋‚ฎ์€ ํ™œ์šฉ์„ฑ)๊ณผ ๋น„ํšจ์œจ์  ๊ฑฐ๋ฒ„๋„Œ์Šค ๋Œ€์‘์ฒด๊ณ„ ๋“ฑ ์—ฌ๋Ÿฌ ๋ฐฉ๋ฉด์— ๊ฑธ์ณ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋‹ค์–‘ํ•œ ์›์ธ ์ค‘์—์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ฐœ๋ฐœ๋œ ๊ธฐ์ˆ ์˜ ๋‚ฎ์€ ํ™œ์šฉ์„ฑ ์ธก๋ฉด์— ๋Œ€ํ•ด ์ง‘์ค‘ํ•œ๋‹ค. ์ฆ‰, ๊ธฐํ›„๋ณ€ํ™” ์ •์ฑ… ์ˆ˜๋ฆฝ๊ณผ ์ดํ–‰์ง€์›์„ ์œ„ํ•œ ๊ธฐํ›„๋ณ€ํ™” R&D์‚ฌ์—… ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ์ €ํ•ด ์š”์ธ์„ ํŒŒ์•…ํ•˜๊ณ , ์ด๋ฅผ ์ œ๊ณ  ํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์•ˆ์„ ์—ฐ๊ตฌํ•œ๋‹ค. ๊ทธ ์ด์œ ๋Š” ๊ตญ๊ฐ€ R&D ์‚ฌ์—… ์ž์ฒด๊ฐ€ ์‹œ๊ธ‰ํ•œ ํ˜„์•ˆ์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๊ธฐํš๋˜๋ฏ€๋กœ R&D ์‚ฌ์—…์˜ ์‹คํšจ์„ฑ์„ ์ œ๊ณ  ํ•˜๋Š” ๊ฒƒ์ด ๊ฐ€์‹œ์  ํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฐ€์žฅ ๋น ๋ฅธ ์˜์—ญ์ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ํŠนํžˆ, ๋‹ค์–‘ํ•œ R&D์‚ฌ์—… ์˜์—ญ ์ค‘์—์„œ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ์ด๊ด„ ๋ถ€์ฒ˜ ํ™˜๊ฒฝ๋ถ€๋Š” ํƒ„์†Œ์ค‘๋ฆฝ๊ธฐ๋ณธ๋ฒ• ๋ฐ ๋™๋ฒ• ์‹œํ–‰๋ น ๋“ฑ์— ์˜๊ฑฐ ํ•˜์—ฌ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ๋ชฉํ‘œ ๋ฐ ์ตœ์  ๊ฒฝ๋กœ(Pathway) ์ˆ˜๋ฆฝ๊ณผ ์ดํ–‰ํ‰๊ฐ€ ๋“ฑ ๊ตญ๊ฐ€ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ๋ฐฉํ–ฅ ๊ฒฐ์ •ํ•˜๋Š” ์—ญํ•  ์ดํ–‰ํ•ด์•ผํ•œ๋‹ค. ์ธ ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ์ œ๊ณ  ๋ฐฉ์•ˆ์— ๋Œ€ํ•ด ๋ถ„์„ํ•œ๋‹ค. ๊ทธ ์ด์œ ๋Š” ์ด๊ด„๋ถ€์ฒ˜์˜ R&D ์„ฑ๊ณผ๋ฌผ์„ ํ™œ์šฉํ•œ ์ •ํ™•ํ•œ ์ •์ฑ… ์ˆ˜๋ฆฝ ๋ฐ ์ดํ–‰์ง€์›์ด ์ด๋ฃจ์–ด์ง€๋Š” ๊ฒƒ์ด ๊ตญ์ œ์‚ฌํšŒ์˜ ๋ถ€์ •์  ํ‰๊ฐ€์™€ ์‹ฌํ™”ํ•˜๋Š” ๊ธฐํ›„ํ”ผํ•ด ๋ฌธ์ œ ํ•ด๊ฒฐ์— ๊ฐ€์žฅ ๋น ๋ฅธ ํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ผ ๊ฒƒ์ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฌธํ—Œ์กฐ์‚ฌ๋กœ ๊ตญ๋‚ดยท์™ธ R&D ์‚ฌ์—…์˜ ์ „์ฃผ๊ธฐ(๊ธฐํš-์—ฐ๊ตฌ๊ฐœ๋ฐœ-๊ด€๋ฆฌ-ํ™œ์šฉยทํ™•์‚ฐ) ์ฒด๊ณ„์— ๋Œ€ํ•ด ๋น„๊ตยท๋ถ„์„ํ•˜์—ฌ ๋ฒค์น˜๋งˆํ‚น ์š”์†Œ๋ฅผ ๋„์ถœํ•˜๊ณ , ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—…์— ๋Œ€ํ•œ ์ƒ์œ„๊ธฐ๊ด€(๊ณผํ•™๊ธฐ์ˆ ์ •๋ณดํ†ต์‹ ๋ถ€(์ดํ•˜ ๊ณผ๊ธฐ๋ถ€)) ๋ฐ ์™ธ๋ถ€ ์ „๋ฌธ๊ฐ€ ํ‰๊ฐ€ ๊ฒฐ๊ณผ๋ฅผ ๊ฒ€ํ† ํ•˜์—ฌ R&D ์‚ฌ์—… ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ํ˜„ํ™ฉ์— ๋Œ€ํ•ด ๋„์ถœ ํ•œ๋‹ค. ๋˜ํ•œ, ์ „๋ฌธ๊ฐ€ ๋Œ€์ƒ(์ˆ˜์š”๊ธฐ๊ด€, ์—ฐ๊ตฌ๊ฐœ๋ฐœ๊ธฐ๊ด€, ๊ด€๋ฆฌ๊ธฐ๊ด€ ๋ฐ ๊ธฐํƒ€ ์‚ฐ/ํ•™/์—ฐ ๊ธฐ๊ด€)์œผ๋กœ ์„ค๋ฌธ์กฐ์‚ฌ(1ยท2์ฐจ)๋ฅผ ์ง„ํ–‰ํ•œ๋‹ค. 1์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ๋Š” ์‹คํšจ์„ฑ ํ˜„ ์‹คํƒœ์— ๋Œ€ํ•œ ์ผ๋ฐ˜ ์„ค๋ฌธ์กฐ์‚ฌ(5์  ๋งŒ์ ), ์‹คํšจ์„ฑ ์ œ๊ณ  ์š”์ธ์˜ ์šฐ์„ ์ˆœ์œ„ ๋ถ„์„์„ ์œ„ํ•œ AHP ์„ค๋ฌธ์กฐ์‚ฌ ๊ทธ๋ฆฌ๊ณ  ์‹คํšจ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์„ธ๋ถ€ ์‹คํ–‰๋ฐฉ์•ˆ์— ๋Œ€ํ•œ ์„ค๋ฌธ์กฐ์‚ฌ(์„œ์ˆ ํ˜•ํƒœ)๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ, 2์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ์—์„œ๋Š” AHP ๊ฒฐ๊ณผ ํ•ด์„์„ ์œ„ํ•œ ์ถ”๊ฐ€ ์„ค๋ฌธ์œผ๋กœ ์ด๋ฃจ์–ด์ง„๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋ฌธํ—Œ์กฐ์‚ฌ, ์ „๋ฌธ๊ฐ€ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ์–ป์€ ์ž๋ฃŒ ๋ฐ R&D ๊ธฐํš/๊ด€๋ฆฌ ์—…๋ฌด์˜ ์‹ค๋ฌด ๊ฒฝํ—˜ ๋“ฑ์„ ์ข…ํ•ฉ ๋ถ„์„ํ•˜์—ฌ ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—… ์‹คํšจ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•ด ํ•„์š”ํ•œ ์š”์†Œ์— ๋Œ€ํ•ด ์ •์ฑ…์  ์ œ์–ธ์„ ํ•œ๋‹ค. ๊ตญ๋‚ดยท์™ธ R&D ์‚ฌ์—… ์ „์ฃผ๊ธฐ ๊ด€๋ฆฌ ์ฒด๊ณ„์—์„œ ์ฃผ์š” ์„ ์ง„๊ตญ(๋ฏธ๊ตญ, EU, ์ผ๋ณธ ๋“ฑ)์€ ์„ฑ๊ณผ ํ™œ์šฉยทํ™•์‚ฐ์„ ์œ„ํ•ด ์—ฐ๊ตฌ ์ˆ˜ํ–‰ ์กฐ์ง ์„ค๋ฆฝยท์šด์˜, ์„ฑ๊ณผ ํ™œ์šฉ ์ง€์› ํ”„๋กœ๊ทธ๋žจ ์„ค์น˜, ์„ฑ๊ณผ ํ™œ์šฉ ์ธ์„ผํ‹ฐ๋ธŒ ์ œ๊ณต, ์—ฐ๊ตฌ ๊ด€๋ จ ์ •๋ณด ๊ณต๊ฐœ ํ™•์‚ฐ๊ณผ R&D ์„ฑ๊ณผ์˜ ์‚ฌํšŒ์  ๊ฐ€์น˜ ๊ฐ•์กฐํ•˜๋Š” ์ •์ฑ… ๋“ฑ์„ ์‹œํ–‰ ์ค‘์ด๋‹ค. ๋ฐ˜๋ฉด์— ํ•œ๊ตญ์˜ ๊ฒฝ์šฐ ๋…ผ๋ฌธ, ํŠนํ—ˆ ๋“ฑ์œผ๋กœ ์„ฑ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ , ์‚ฌ์—… ์ข…๋ฃŒ ํ›„ ์„ ์ง„๊ตญ๊ณผ ๋น„์Šทํ•˜๊ฒŒ 5๋…„ ์ •๋„๋กœ ์ถ”์  ๊ธฐ๊ฐ„์„ ๊ฐ–์ง€๋งŒ, ์„ฑ๊ณผ ํ™œ์šฉํ™•์‚ฐ์„ ์œ„ํ•œ ์—ฐ๊ตฌ ์ˆ˜ํ–‰ ์กฐ์ง ๋“ฑ์„ ๋ณ„๋„๋กœ ์„ค๋ฆฝํ•˜๊ฑฐ๋‚˜ ์ง€์›ํ•˜์ง€ ์•Š๋Š”๋‹ค. ๊ตญ๋‚ด ๋ถ€์ฒ˜ ๊ฐ„ R&D ์ „์ฃผ๊ธฐ ์ฒด๊ณ„๋ฅผ ๋น„๊ต ๋ถ„์„ํ•ด๋ณด๋ฉด, ๊ณผ๊ธฐ๋ถ€์˜ ๊ฒฝ์šฐ๋Š” ์ตœ๊ทผ ๊ธฐํ›„๋ณ€ํ™” ๊ธฐ์ˆ ๊ฐœ๋ฐœ ๊ธฐ๋ณธ๋ฒ• ๋“ฑ์„ ์ œ์ •ํ•˜์—ฌ ๊ธฐํ›„ ๊ธฐ์ˆ ์˜ ํ™œ์šฉยทํ™•์‚ฐ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ๋ฒ•์  ๊ทผ๊ฑฐ๋ฅผ ๋งˆ๋ จํ–ˆ๋‹ค. ์„ฑ๊ณผ์ง€ํ‘œ์˜ ๊ฒฝ์šฐ EU์™€ ๊ฐ™์ด ์„ฑ๊ณผ๋ฌผ ํ™œ์šฉ์„ ํ†ตํ•œ ์‚ฌํšŒ/๊ฒฝ์ œ์  ๋ณ€ํ™”๊นŒ์ง€ ๊ณ ๋ คํ•˜์—ฌ ์„ฑ๊ณผ์ง€ํ‘œ ๊ด€๋ฆฌ๋ฅผ ํ•˜๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ, ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D์‚ฌ์—…์— ๋Œ€ํ•œ ์ƒ์œ„๊ธฐ๊ด€ ํ‰๊ฐ€ ๊ฒฐ๊ณผ๋ฅผ ์‚ดํŽด๋ณด๋ฉด, ๊ธฐ์ˆ  ์ž์ฒด์˜ ํ•„์š”์„ฑ/์šฐ์ˆ˜์„ฑ์€ ์ธ์ •๋˜์ง€๋งŒ, ์‹ค ์ˆ˜์š”์ฒ˜์—์„œ ์‹ค์งˆ์ ์œผ๋กœ ํ™œ์šฉ๋˜๊ธฐ ์œ„ํ•œ ์ „๋žต ๋ฏธํก, ์‚ฌ์šฉ์ž ์นœํ™”์  ์†Œํ”„ํŠธ์›จ์–ด ๋ถ€์žฌ ๋“ฑ ์‹ค์งˆ์  ํ™œ์šฉ์„ฑ์ด ๋‹ค์†Œ ๋‚ฎ๋‹ค๊ณ  ํ‰๊ฐ€ํ–ˆ๋‹ค. ๋˜ํ•œ, ์‹ ๊ทœ์‚ฌ์—…(์‹ ๊ธฐํ›„์ฒด์ œ ๋Œ€์‘ ํ™˜๊ฒฝ๊ธฐ์ˆ ๊ฐœ๋ฐœ์‚ฌ์—…)์—์„œ๋Š” ์ตœ์ข… ์ˆ˜์š”์ฒ˜์˜ ํ™œ์šฉ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ๊ตฌ์ฒด์  ์ „๋žต ์ˆ˜๋ฆฝ์ด ํ•„์š”ํ•จ์„ ๊ฐ•์กฐํ–ˆ๋‹ค. ์ „๋ฌธ๊ฐ€ ์„ค๋ฌธ์กฐ์‚ฌ๋Š” ์ฒซ ๋ฒˆ์งธ ํ•ญ๋ชฉ(์‹คํšจ์„ฑ ์‹คํƒœ์กฐ์‚ฌ)์—์„œ๋Š” ์ˆ˜์š”๊ธฐ๊ด€(์˜จ์‹ค๊ฐ€์Šค์ข…ํ•ฉ์ •๋ณด์„ผํ„ฐ, ๊ตญ๋ฆฝํ™˜๊ฒฝ๊ณผํ•™์› ๋“ฑ)์—์„œ ์‹คํšจ์„ฑ(์„ฑ๊ณผ๋ฌผ์˜ ์ •์ฑ…์ˆ˜๋ฆฝ์ง€์›, ๊ธฐ์ˆ ์ด์ „ ๋“ฑ ํ™œ์šฉ๋˜๋Š” ์ •๋„)์ด 5์  ๋งŒ์ ์— ์•ฝ 3์ ์œผ๋กœ ๊ธฐ๋ก๋˜์—ˆ๋‹ค. ์ด๋Š” ์—ฐ๊ตฌ๊ฐœ๋ฐœ ์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ์ด ์•ฝ 4์ ์„ ๊ธฐ๋กํ•œ ๊ฒƒ๊ณผ๋Š” ๋Œ€์กฐ์ ์ด๋‹ค. ์ฆ‰, ์„ฑ๊ณผ๋ฌผ์˜ ๊ฐœ๋ฐœ ๋ฐ ์ด๋ฅผ ํ™œ์šฉํ•œ ์—ฐ๊ตฌ ํ™œ๋™ ๋“ฑ์€ ์ด๋ฃจ์–ด์ง€์ง€๋งŒ ์‹ค ์ˆ˜์š”์ฒ˜์—์„œ๋Š” ์‹ค์งˆ์ ์œผ๋กœ ์ œ๋Œ€๋กœ ํ™œ์šฉ๋˜๊ณ  ์žˆ์ง€ ์•Š๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ๋˜ํ•œ, ์‹คํšจ์„ฑ ์ œ๊ณ  ์š”์ธ ๋ถ„์„์„ ์œ„ํ•œ AHP ๊ณ„์ธต ์„ค๋ฌธ์กฐ์‚ฌ์—์„œ๋Š” R&D ์ „์ฃผ๊ธฐ ๋‹จ๊ณ„(๊ธฐํš-์—ฐ๊ตฌ๊ฐœ๋ฐœ-์‚ฌ์—…๊ด€๋ฆฌ-ํ™œ์šฉยทํ™•์‚ฐ)๋กœ ๊ตฌ๋ถ„ํ•˜์—ฌ ์กฐ์‚ฌํ–ˆ๋‹ค. ์„ค๋ฌธ ๊ฒฐ๊ณผ ๊ธฐํš ๋‹จ๊ณ„๊ฐ€ ๊ฐ€์ค‘์น˜๊ฐ€ ์ œ์ผ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ์œผ๋ฉฐ, ๊ธฐํš ์š”์†Œ ์ค‘์—์„œ๋„ ์ธํ”„๋ผ(๊ธฐํš ์ธ๋ ฅ ๋ฐ ๊ธฐํš ์˜ˆ์‚ฐ)๊ฐ€ 1์ˆœ์œ„๋กœ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ๊ธฐํš ์‹œ์— ์ตœ์ข… ์˜ˆ์ƒ ์„ฑ๊ณผ๋ฌผ์— ๋Œ€ํ•œ ํ™œ์šฉ ์‹œ๋‚˜๋ฆฌ์˜ค ๋“ฑ์„ ๊ตฌ์ฒด์ ์œผ๋กœ ๊ตฌ์„ฑํ•˜๋Š” ๊ฒƒ์ด ์‹คํšจ์„ฑ ์ œ๊ณ ์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ์„ธ๋ถ€ ์‹คํ–‰๋ฐฉ์•ˆ ์„ค๋ฌธ์—์„œ๋Š” AHP ๊ณ„์ธต ์™ธ์— ์‹คํšจ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์‹คํ–‰๋ฐฉ์•ˆ(์„œ์ˆ ํ˜•ํƒœ)์„ ์กฐ์‚ฌํ–ˆ์œผ๋ฉฐ, ํ™œ์šฉยทํ™•์‚ฐ ๋‹จ๊ณ„์—์„œ ์„ฑ๊ณผ๋ฌผ์˜ ์ง€์†์  ์—…๋ฐ์ดํŠธ ๋ฐ ๋ณด์™„์„ ์œ„ํ•œ ์˜ˆ์‚ฐ์ง€์› ๋“ฑ์ด ํ•„์š”ํ•œ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. 2์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ์—์„œ๋Š” AHP ๊ฒฐ๊ณผ ๋ถ„์„์„ ์œ„ํ•œ ์ „๋ฌธ๊ฐ€ ๋Œ€์ƒ ์ถ”๊ฐ€ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์ง„ํ–‰ํ–ˆ๋‹ค. R&D ์ „์ฃผ๊ธฐ ๋‹จ๊ณ„ ์ค‘ ํ™œ์šฉยทํ™•์‚ฐ์ด๋‚˜ ์—ฐ๊ตฌ๊ฐœ๋ฐœ ๋‹จ๊ณ„๊ฐ€ ์•„๋‹Œ ๊ธฐํš ๋‹จ๊ณ„๊ฐ€ 1์ˆœ์œ„๋กœ ํ‰๊ฐ€๋œ ๊ฒƒ์€ ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D์‚ฌ์—…์˜ ๊ณต๊ณตํ™œ์šฉ ์„ฑ๊ฒฉ์ด ๋งค์šฐ ํฐ ๊ฒƒ์— ๊ธฐ์ธํ•œ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ฆ‰, ์‚ฌ์ต์„ ์ถ”๊ตฌํ•˜๋Š” ๊ธฐํƒ€ R&D๋Š” ํ™œ์šฉยทํ™•์‚ฐ ๋‹จ๊ณ„์ธ ํŠนํ—ˆ๋ถ„์Ÿ์ด๋‚˜ ์‚ฌ์—…ํ™”๋ฅผ ์œ„ํ•œ ์ „๋žต ์ˆ˜๋ฆฝ์˜ ์ค‘์š”์„ฑ์ด ๋งค์šฐ ์ค‘์š”ํ•˜๋‚˜ ๊ณต๊ณต ํ™œ์šฉ ์„ฑ๊ฒฉ์ด ๊ฐ•ํ•œ R&D์‚ฌ์—…์˜ ๊ฒฝ์šฐ ๊ธฐํš ๋‹จ๊ณ„์—์„œ๋ถ€ํ„ฐ ์ตœ์ข… ์ˆ˜์š”์ฒ˜๋ฅผ ๋ช…ํ™•ํ•˜๊ฒŒ ํ•˜์—ฌ ํ™œ์šฉ ์ „๋žต๊นŒ์ง€ ์ˆ˜๋ฆฝํ•˜๋Š” ๊ฒƒ์ด ๋ฌด์—‡๋ณด๋‹ค ํ•ต์‹ฌ์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ฌธํ—Œ์กฐ์‚ฌ(R&D ์ „์ฃผ๊ธฐ ๊ด€๋ฆฌ ์ฒด๊ณ„, ์ƒ์œ„๊ธฐ๊ด€ ํ‰๊ฐ€๊ฒฐ๊ณผ)์™€ ์ „๋ฌธ๊ฐ€ ์„ค๋ฌธ์กฐ์‚ฌ ๋ฐ R&D์‚ฌ์—… ๊ธฐํš/๊ด€๋ฆฌ ์‹ค๋ฌด ๊ฒฝํ—˜ ๋“ฑ์„ ์ข…ํ•ฉํ•œ ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์ •์ฑ…์  ์ œ์–ธ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ๊ธฐํš ๋‹จ๊ณ„์—์„œ๋Š” ์„ฑ๊ณผ์ง€ํ‘œ์˜ ๊ตฌ์ฒด์  ์„ค์ •๊ณผ ์˜ˆ์ƒ๋˜๋Š” ์ˆ˜์š”์ฒ˜ ๊ด€๊ณ„์ž์™€ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์˜ ์ „๋ฌธ๊ฐ€๊ฐ€ ๊ธฐํš์— ์ฐธ์—ฌํ•˜๊ณ , ์˜ˆ์ƒ๋˜๋Š” ์„ฑ๊ณผ๋ฌผ์˜ ๊ตฌ์ฒด์  ํ™œ์šฉ๋ฐฉ์•ˆ์„ ๊ตฌ์ถ•ํ•ด์•ผ ํ•œ๋‹ค. ์ด์—๋”ฐ๋ผ ๊ธฐํš ์ธ๋ ฅ๊ณผ ์šฉ์—ญ ์˜ˆ์‚ฐ ์ฆ์•ก ๋“ฑ์ด ์ด๋ฃจ์–ด์ ธ์•ผ ํ•œ๋‹ค. ์—ฐ๊ตฌ๊ฐœ๋ฐœ/์‚ฌ์—…๊ด€๋ฆฌ ๋‹จ๊ณ„์—์„œ๋Š” ์—ฐ๊ตฌ๊ฐœ๋ฐœ ๊ธฐ๊ด€๊ณผ ์ตœ์ข… ์ˆ˜์š”์ฒ˜ ๊ฐ„์— ํ˜‘์˜์ฒด๋ฅผ ์กฐ์„ฑํ•˜์—ฌ ์ˆ˜์š”๊ธฐ๊ด€์˜ ์˜๊ฒฌ์„ ๋ฐ˜์˜ํ•  ์ˆ˜ ์žˆ๋Š” ์ฐฝ๊ตฌ๋ฅผ ๋งŒ๋“ค์–ด์•ผ ํ•œ๋‹ค. ์ด ์™ธ์—๋„ ์—ฐ๊ตฌ๊ฐœ๋ฐœ ๊ธฐ๊ด€์ด ์‚ฌํšŒ์  ํšจ๊ณผํ‰๊ฐ€ ์ง€ํ‘œ ๋‹ฌ์„ฑ์„ ํ†ตํ•ด ์„ฑ๊ณผ ํ™œ์šฉ์„ ๋‹ฌ์„ฑํ•˜๋ฉด, ์ธ์„ผํ‹ฐ๋ธŒ ์ œ๊ณต ๋“ฑ์„ ์ง€์›ํ•ด์•ผ ํ•œ๋‹ค. ํ™œ์šฉยทํ™•์‚ฐ ๋‹จ๊ณ„์—์„œ๋Š” ํ•œ๊ตญํ˜• ๊ธฐํ›„๋ณ€ํ™” ์ด๊ด„ ๋Œ€์‘ ๊ธฐ๊ตฌ(KPCC)๋ฅผ ์ฐฝ์„คํ•˜์—ฌ ๋ถ€์ฒ˜๋ณ„๋กœ ์‚ฐ์žฌ ๋˜์–ด์žˆ๋Š” ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ์—…๋ฌด๋ฅผ ํ†ตํ•ฉ ์šด์˜ํ•ด์•ผ ํ•œ๋‹ค. ๋˜ํ•œ, ์„ฑ๊ณผ๋ฌผ์˜ ๊ณต๋™ ์†Œ์œ (์—ฐ๊ตฌ๊ธฐ๊ด€ ๋ฐ ๊ตญ๊ฐ€)๋ฅผ ํ†ตํ•ด ์ง€์†์ ์ธ ํ›„์† ๊ด€๋ฆฌ ์ฒด๊ณ„๋ฅผ ๊ตฌ์ถ•ํ•ด์•ผ ํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด DB์˜ ์ง€์†์  ์—…๋ฐ์ดํŠธ์™€ ์„ฑ๊ณผ๋ฌผ(ํ†ตํ•ฉํ‰๊ฐ€ ๋ชจํ˜• ๋“ฑ)์˜ ์œ ์ง€ ๋ฐ ๋ณด์ˆ˜๋ฅผ ์ง€์›ํ•ด์•ผ ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•œ ๊ธฐํ›„๋ณ€ํ™” R&D ์„ฑ๊ณผ๋ฌผ์˜ ์‹คํšจ์„ฑ ์ œ๊ณ ๋งŒ์„ ํ†ตํ•ด์„œ ํ•œ๊ตญ์ด ๋งˆ์ฃผํ•œ ๊ธฐํ›„๋ณ€ํ™” ๊ด€๋ จ ํ˜„์•ˆ์ด ๋ชจ๋‘ ํ•ด๊ฒฐ๋˜์ง€๋Š” ์•Š์„ ๊ฒƒ์ด๋‹ค. ํ•˜์ง€๋งŒ, ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—…์˜ ์„ฑ๊ณผ๋ฌผ์„ ์ œ๋Œ€๋กœ ํ™œ์šฉํ•˜์—ฌ ๊ณผํ•™์  ๊ทผ๊ฑฐ์— ๊ธฐ๋ฐ˜ํ•œ ์ •์ฑ… ์ˆ˜๋ฆฝ ๋ฐ ์ดํ–‰์„ ์ ๊ทน์ ์œผ๋กœ ์ง€์›ํ•œ๋‹ค๋ฉด, ๊ตญ์ œ์‚ฌํšŒ๋กœ๋ถ€ํ„ฐ ๊ธฐํ›„ ์•…๋‹น ๋“ฑ๊ณผ ๊ฐ™์€ ๋ถ€์ •์ ์ธ ํ‰๊ฐ€์— ๋Œ€์‘ํ•˜์—ฌ ๊ณผ๋„ํ•œ ์ฑ…์ž„ ๋ถ€๋‹ด์„ ๋ฐฉ์ง€ํ•  ์ˆ˜ ์žˆ๊ณ , ๊ธฐํ›„ ํ”ผํ•ด ์ตœ์†Œํ™” ์ฒด๊ณ„ ๊ตฌ์ถ•์— ์ด๋ฐ”์ง€ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๋ฐ ๋ณธ ์—ฐ๊ตฌ์˜ ์˜์˜๊ฐ€ ์žˆ๋‹ค.Even though the Korea government has made huge efforts, such as establishment of policy and R&D investments to address for climate change since 1999, the Korea deserves the lowest evaluation among OECD countries for climate change efforts from the international community recently. To be specific, Korea is ranked 60th in 2022 CCPI scorecard by Germanwatch in Germany and 63rd EPI scorecard by Standford University in the U.S. And the social damage cost(over one trillion won in 2020) by climate change has been increased rapidly compared to the past. Based on these facts, the efficiency of the Korea government efforts for climate change is definitely very low, which is attributable to the various reasons from the wrong policy direction to absence of technologies to support the policy(or low effectiveness of technologies) and ineffective governance etc. This study focuses on analyzing the measures to increase the effectiveness of outcomes from R&D projects supporting the policy. This is because R&D projects of government are planned to address urgent problems. So, as effectiveness of R&D outcomes becomes higher, the problems facing Korea government would be solved fast as well. Also, it analyzes only for the projects by Ministry of Environment(ME) in Korea since the ME is the overall control government department. To derive the measures, this study uses literature review and survey for the experts. For literature review, this study compares the system of R&D projects between the Korea and other developed countries. And also, it reviews the results of evaluation by higher authority(Ministry of Science technologies in Korea) for previous climate change R&D projects of Ministry of Environment in Korea. The survey consists of two chapter. The first one consists of three part and the second is one part. The first chapter asks (a) the status of effectiveness(descriptive), (b) AHP survey(pair comparison), (c) methods survey to increase effectiveness(descriptive). The second chapter surveys to analyze the results of AHP survey(1st chapter) and asks more specific measures to increase the effectiveness(descriptive). The developed countries usually evaluate about the social/economic effects by outcomes from R&D projects. And also, they usually organize special experts to promote utilization of the outcomes. But on the contrary, the Korea government generally focus on numerical index, such as thesis and patent, and also do not organize the special experts to support to increase utilization of the outcomes. The evaluation by higher authority says that outcomes from the previous climate change R&D projects are not well used by the government officers in charge of. In the expert survey, planning phase is evaluated as the most important among other phases (development, management, utilization / diffusion). To be specific, infrastructure(manpower and monetary support) of planning phase is assessed as the most core component to increase the effectiveness. Taken together, this study makes policy recommendations for each R&D phases. For planning one, the Korea government makes evaluates more specific results (such as, social/economic effects) and should increase manpower/monetary support. At development/management phase, the end-users should participate in and communicate with development(and management) institutes constantly. Lastly, for utilization/diffusion phase, the government should compose the integrated organization(KPCC) to cope with climate change issues(scientifically and politically). And the outcomes (such as DB and modeling system) have to be upgraded constantly for the future. This study does not solve all the problems that the government is facing. However, it would be helpful for things as follows; the government would be able to address the negative evaluation from the international government and minimize damages by climate change through increasing the effectiveness of R&D outcomes.1. ์„œ ๋ก  1 1.1. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2. ์—ฐ๊ตฌ์˜ ๊ตฌ์กฐ 8 1.3. ์„ ํ–‰์—ฐ๊ตฌ 10 1.3.1. R&D ์„ฑ๊ณผ ๋ฐ ๊ด€๋ฆฌ์ฒด๊ณ„์— ๊ด€ํ•œ ์—ฐ๊ตฌ 10 1.3.2. AHP ๋ถ„์„์— ๊ด€ํ•œ ์—ฐ๊ตฌ 12 1.4. ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—… ํ˜„ํ™ฉ 19 1.4.1. ํƒ€๋ถ€์ฒ˜ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—… ํ˜„ํ™ฉ 25 1.4.2. ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D์‚ฌ์—… ํ˜„ํ™ฉ 26 1.4.3. ํ™˜๊ฒฝ๋ถ€ ๋ฐ ํƒ€๋ถ€์ฒ˜ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—… ๊ฐ„ ์—ฐ๊ณ„ ๋ฐฉ์•ˆ 34 2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 35 2.1. ์—ฐ๊ตฌ ์ถ”์ง„ ์ ˆ์ฐจ 35 2.1.1. ์—ฐ๊ตฌ๋ฒ”์œ„ 36 2.2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 38 2.2.1. [1์ฐจ ์„ค๋ฌธ] ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ์— ๊ด€ํ•œ ์‹คํƒœ์กฐ์‚ฌ(์ผ๋ฐ˜์„ค๋ฌธ) 39 2.2.2. [1์ฐจ ์„ค๋ฌธ] ์ œ๊ณ  ์š”์ธ ์šฐ์„ ์ˆœ์œ„ ๋ถ„์„(AHP ๋ถ„์„) 40 2.2.3. [1์ฐจ ์„ค๋ฌธ] ์‹คํšจ์„ฑ ์ œ๊ณ  ์œ„ํ•œ ๋‹จ๊ณ„๋ณ„ ์‹คํ–‰๋ฐฉ์•ˆ ์กฐ์‚ฌ(์ผ๋ฐ˜์„ค๋ฌธ) 44 2.2.4. [2์ฐจ ์„ค๋ฌธ] ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ์ œ๊ณ  ์š”์ธ ๋ถ„์„ ์œ„ํ•œ ์ถ”๊ฐ€ ์ธํ„ฐ๋ทฐ 45 3. ๋ถ„์„ ๊ฒฐ๊ณผ 47 3.1. ๋ฌธํ—Œ์กฐ์‚ฌ 47 3.1.1. ํ™˜๊ฒฝ๋ถ€ R&D ๊ด€๋ฆฌ ์ฒด๊ณ„ ๋ถ„์„ 47 3.1.2. ๊ธฐํ›„๋ณ€ํ™” R&D ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ํ‰๊ฐ€์— ๋Œ€ํ•œ ๋ฌธํ—Œ ์กฐ์‚ฌ 53 3.2. 1์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ ๋ถ„์„ ๊ฒฐ๊ณผ 56 3.2.1. ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ์— ๊ด€ํ•œ ์‹คํƒœ์กฐ์‚ฌ 56 3.2.2. ์ œ๊ณ  ์š”์ธ ์šฐ์„ ์ˆœ์œ„ ๋ถ„์„(AHP ๋ถ„์„) ๊ฒฐ๊ณผ 57 3.2.3. ์‹คํšจ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์‹คํ–‰๋ฐฉ์•ˆ ์กฐ์‚ฌ(์ผ๋ฐ˜์„ค๋ฌธ) ๊ฒฐ๊ณผ 76 3.2.4. 1์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ ์ข…ํ•ฉ ์‹œ์‚ฌ์  80 3.3. 2์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ ๋ถ„์„ ๊ฒฐ๊ณผ 82 3.3.1. 2์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ ์ข…ํ•ฉ ์‹œ์‚ฌ์  84 3.4. ๊ฒฐ๊ณผ ์š”์•ฝ ๋ฐ ์‹œ์‚ฌ์  85 4. ๊ฒฐ๋ก  ๋ฐ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 89 4.1. ์‹คํšจ์„ฑ ์ œ๊ณ  ์œ„ํ•œ R&D ๋‹จ๊ณ„๋ณ„ ์ •์ฑ…์  ์ œ์–ธ 89 4.1.1. R&D ๊ธฐํš ๋‹จ๊ณ„ 89 4.1.2. ์—ฐ๊ตฌ๊ฐœ๋ฐœ ๋ฐ ๊ด€๋ฆฌ๋‹จ๊ณ„ 90 4.1.3. ํ™œ์šฉยทํ™•์‚ฐ ๋‹จ๊ณ„ 91 4.2. ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„์  94 ์ฐธ๊ณ ๋ฌธํ—Œ 95 Abstract 99 ๋ถ€๋ก1. ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ํ™˜๊ฒฝ๊ธฐ์ˆ ๊ฐœ๋ฐœ์‚ฌ์—… ๊ณผ์ œ๋ณ„ ์„ฑ๊ณผ 103 ๋ถ€๋ก2. 1์ฐจ ์„ค๋ฌธ์„œ ์–‘์‹[์ตœ์ข…] 105 ๋ถ€๋ก3. 2์ฐจ ์„ค๋ฌธ์„œ ์–‘์‹[์ตœ์ข…] 130์„

    ์œ„์„ฑ๋ฐฉ์†ก์„œ๋น„์Šค ์ค‘๊ณ„ ์‹œ์Šคํ…œ์šฉ ๊ณ ์„ฑ๋Šฅ ํŽธํŒŒ ์‹๋ณ„ ์•ˆํ…Œ๋‚˜ ๋””์ž์ธ

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    Ku band satellite signal repeating technology just altering a polarization of the repeated signal is applicable for any kind of satellite broadcasting service in geographically shadowed area due to high-rise buildings, trees, and so on. This paper focuses on the design of high polarization discrimination antenna satisfying polarization characteristics with respect to field pattern and frequency band. Designed antenna for the enhancement of axial ratio and polarization discrimination characteristic shows good performance for satellite broadcasting service repeating system

    ํ†ต์ผ์ธ์‹ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ํ†ต์ผ ์œ ๊ด€๊ธฐ๊ด€๋“ค์˜ ICT ํ™œ์šฉ๋ฐฉ์•ˆ

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    ํ‰ํ™”ํ†ต์ผ์€ ๊ตญ๊ฐ€์ ์ธ ๊ณผ์ œ์ด์ง€๋งŒ ํ‰ํ™”ํ†ต์ผ์— ๋Œ€ํ•œ ๊ตญ๋ฏผ๋“ค์˜ ์ธ์‹์€ ๊ณผ๊ฑฐ์— ๋น„ํ•ด ์ƒ๋‹นํžˆ ๋‚ฎ์€ ๊ฒƒ์œผ๋กœ ํŒŒ์•…๋˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ ์ Š์€ ์„ธ๋Œ€์˜ ํ†ต์ผ์ธ์‹์€ ์ง€์†์ ์œผ๋กœ ๋‚ฎ๊ฒŒ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋Š” ํ˜„์‹ค์ด๋‹ค. ํ•œํŽธ ์šฐ๋ฆฌ๋‚˜๋ผ๋Š” ICT ๊ฐ•๊ตญ์œผ๋กœ์„œ ์„ธ๊ณ„ ์ตœ๊ณ  ์ˆ˜์ค€์˜ ICT ์ธํ”„๋ผ์™€ ICT ํ™œ์šฉ ๋Šฅ๋ ฅ์„ ๋ณด์œ ํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๊ฐ•์ ์ธ ICT๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ตญ๋ฏผ๋“ค์˜ ํ‰ํ™”ํ†ต์ผ ์ธ์‹์„ ์ œ๊ณ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์•ˆ์„ ๋ชจ์ƒ‰ํ•ด ๋ณด๋Š”๋ฐ ๊ทธ ๋ชฉ์ ์ด ์žˆ๋‹ค. ์šฐ์„  ๊ตญ๋ฏผ๋“ค์˜ ํ†ต์ผ์ธ์‹ ์ œ๊ณ ๋ฅผ ์œ„ํ•ด ํ†ต์ผ ๊ด€๋ จ ๊ธฐ๊ด€๋“ค์ด ์–ด๋– ํ•œ ํ™œ๋™์„ ํ•˜๋Š”์ง€ ์กฐ์‚ฌํ•˜๋˜ ICT์˜ ํ™œ์šฉ ํ˜„ํ™ฉ๊ณผ ๋ฌธ์ œ์ ์„ ์งš์–ด ๋ณด์•˜๋‹ค. ๋ถ„์„ ๋Œ€์ƒ์—๋Š” ์ •๋ถ€ ๋ฐ ๊ณต๊ณต๊ธฐ๊ด€์œผ๋กœ์„œ๋Š” ํ†ต์ผ๋ถ€์™€ ํ†ต์ผ์ค€๋น„์œ„์›ํšŒ๊ฐ€, ๋ฏผ๊ฐ„๊ธฐ๊ด€์œผ๋กœ์„œ๋Š” ๋ฏผ์กฑํ†ต์ผ์ค‘์•™ํ˜‘์˜ํšŒ, ํ†ต์ผ์„ ์ƒ๊ฐํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์˜ ๋ชจ์ž„, ๋‚จ๋ถ์‚ฌํšŒํ†ตํ•ฉ์—ฐ๊ตฌ์›์ด ํฌํ•จ๋˜์—ˆ๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ์— ์˜ํ•˜๋ฉด ์ด ๊ธฐ๊ด€๋“ค์€ SNS ๋“ฑ ICT์˜ ํ™•์‚ฐ ์ถ”์„ธ์™€ ๊ทธ ์ค‘์š”์„ฑ์„ ์ธ์‹ํ•˜๊ณ  ์ด๋ฅผ ํ™œ์šฉํ•˜๋ ค๋Š” ๋…ธ๋ ฅ์€ ํ•˜๊ณ  ์žˆ์œผ๋‚˜ ์‹ค์ œ๋กœ๋Š” ๋ช…๋ชฉ์ƒ์˜ ์šด์˜์— ๊ทธ์น˜๊ณ  ์žˆ์œผ๋ฉฐ ICT์˜ ํŠน์„ฑ์„ ์‚ด๋ฆฌ๋Š” ํšจ๊ณผ์ ์ธ ํ™œ๋™์€ ํ•˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ICT์˜ ํšจ๊ณผ์ ์ธ ํ™œ์šฉ์„ ํ†ตํ•œ ๊ตญ๋ฏผ๋“ค์˜ ํ‰ํ™”ํ†ต์ผ ์ธ์‹ ์ œ๊ณ ๋ฅผ ์œ„ํ•ด์„œ SNS ํŠน์„ฑ์˜ ๊ทน๋Œ€ํ™”, ์ Š์€์ธต์— ๋Œ€ํ•œ ํƒ€๊ฒŸํŒ…, ๋ธŒ๋žœ๋”ฉ ๋ฐ ์ง€์†์  ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜์ด๋ผ๋Š” ์ธก๋ฉด์—์„œ ๊ตฌ์ฒด์ ์ธ ์ œ์–ธ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์ด์™€ ๋”๋ถˆ์–ด ICT ํ™œ์šฉ๋„ ํ–ฅ์ƒ์„ ์œ„ํ•œ ๋‹ค์–‘ํ•œ ์‹œ์‚ฌ์ ์„ ์ œ์‹œํ•˜์˜€๋‹ค

    Femtocell/Macrocell Interference Analysis in WiBro System

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    ํŽจํ† ์…€์„ ๋„์ž…ํ•จ์œผ๋กœ์จ ์ด๋™ํ†ต์‹ ์‹œ์Šคํ…œ์˜ ์‹ค๋‚ด ์ปค๋ฒ„๋ฆฌ์ง€๋ฅผ ํ™•์žฅํ•˜๊ณ  ์‹œ์Šคํ…œ ์šฉ๋Ÿ‰์„ ์ฆ๋Œ€์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ํŽจํ† ์…€์ด ํšจ๊ณผ์ ์œผ๋กœ ๋™์ž‘ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ํŽจํ† ์…€๊ณผ ๋งคํฌ๋กœ์…€๊ฐ„์˜ ์ „ํŒŒ ๊ฐ„์„ญ์— ๋Œ€ํ•œ ๋ถ„์„์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์™€์ด๋ธŒ๋กœ ์‹œ์Šคํ…œ์— ํŽจํ† ์…€์„ ์ ์šฉํ•˜๋Š” ๊ฒฝ์šฐ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ„์„ญ ์˜ํ–ฅ์„ ์‚ดํŽด๋ณธ๋‹ค. ํŽจํ† ์…€๊ณผ ๋งคํฌ๋กœ์…€๊ฐ„์˜ ๋™๊ธฐ๊ฐ€ ์œ ์ง€๋œ ๊ฒฝ์šฐ๋ฅผ ๊ฐ€์ •ํ•˜์—ฌ, ํŽจํ† ์…€์ด ๋งคํฌ๋กœ ์…€๊ณผ ๋™์ผํ•œ ์ฑ„๋„์—์„œ ๋™์ž‘ํ•˜๋Š” ๊ฒฝ์šฐ์™€ ์ธ์ ‘ ์ฑ„๋„์—์„œ ๋™์ž‘ํ•˜๋Š” ๊ฒฝ์šฐ์— ๋Œ€ํ•˜์—ฌ ์‹œ์Šคํ…œ ๋ ˆ๋ฒจ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ํ‰๊ท  ์…€ throughput ์„ ๊ตฌํ•˜๊ณ  ํŽจํ† ์…€๊ณผ ๋งคํฌ๋กœ์…€๊ฐ„ ๊ฐ„์„ญ ์˜ํ–ฅ ํŠน์„ฑ์„ ๋ถ„์„ํ•œ๋‹ค.์ด ๋…ผ๋ฌธ์€ ๋‘๋‡Œํ•œ๊ตญ 21 ์‚ฌ์—…๊ณผ ์ง€์‹๊ฒฝ์ œ๋ถ€ ๋ฐ ์ •๋ณดํ†ต์‹ ์—ฐ๊ตฌ์ง„ํฅ์›์˜ IT ํ•ต์‹ฌ๊ธฐ์ˆ ๊ฐœ๋ฐœ์‚ฌ์—… [2008-F-007-01, 3 ์ฐจ์› ํ™˜๊ฒฝ์—์„œ ์ง€๋Šฅํ˜• ๋ฌด์„  ํ†ต ์‹  ์‹œ์Šคํ…œ ์—ฐ๊ตฌ] ์— ์˜ํ•˜์—ฌ ์ง€์›๋˜์—ˆ

    Statistical Characterization of UWB channel in Office Environments

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    ๋ณธ ๋…ผ๋ฌธ์—๋Š” ์ดˆ๊ด‘๋Œ€์—ญ ํ†ต์‹ ์‹œ์Šคํ…œ์„ ์œ„ํ•œ ์ฃผํŒŒ์ˆ˜ ์˜์—ญ์˜ ํ†ต๊ณ„ํ•™์  ์ฑ„๋„ ๋ชจ๋ธ์„ ์„œ์ˆ ํ•˜๊ณ  ์žˆ๋‹ค. ์ฑ„๋„ ๋ชจ๋ธ๋ง์€ 3๊ฐœ์˜ ์‚ฌ๋ฌด์‹ค ํ™˜๊ฒฝ, 46๊ฐœ์˜ ์†ก, ์ˆ˜์‹  ์œ„์น˜์—์„œ ์–ป์–ด์ง„ 23,000๊ฐœ์˜ ์ฑ„๋„์‘๋‹ตํ•จ์ˆ˜๋กœ ๋ถ€ํ„ฐ ์–ป์–ด์กŒ๋‹ค. ์ธก์ •์‹คํ—˜์„ ํ†ตํ•ด ์–ป์–ด์ง„ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ฃผํŒŒ์ˆ˜ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ๊ฒฝ๋กœ๊ฐ์‡„์ง€์ˆ˜ ๋ณ€ํ™”์— ๋Œ€ํ•ด ์„œ์ˆ ํ•œ ํ›„ ์ „ํŒŒํ™˜๊ฒฝ๊ณผ ๊ฐ€์‹œ๊ฒฝ๋กœ์˜ ์กด์žฌ์—ฌ๋ถ€์— ๋”ฐ๋ฅธ ์ˆ˜์‹ ์‹ ํ˜ธ์˜ ํ™•๋ฅ ๋ถ„ํฌ๋ชจ๋ธ์„ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ๋Š” ์ˆ˜์‹ ๋œ ์ฃผํŒŒ์ˆ˜ ํ†ค์— ํ•ด๋‹นํ•˜๋Š” ์ˆ˜์‹ ํŒŒ์›Œ์˜ ํ‘œ์ค€ํŽธ์ฐจ์™€ ๊ฐ™์€ ํ†ต๊ณ„์  ํŠน์„ฑ๋“ค์„ ๊ณ ์ฐฐํ•˜์˜€๋Š”๋ฐ, ๊ฐ€์‹œ๊ฒฝ๋กœ๊ฐ€ ์กด์žฌํ•˜๋Š” ๊ฒฝ์šฐ์—๋Š” ์†ก, ์ˆ˜์‹ ๊ธฐ ์‚ฌ์ด์˜ ๊ฑฐ๋ฆฌ๊ฐ€ ๋ฉ€์–ด์ง€๋ฉด์„œ ํ‘œ์ค€ํŽธ์ฐจ ๊ฐ’์ด ์ปค์ง€๊ณ  ๊ทธ์— ๋”ฐ๋ผ ์ˆ˜์‹  ์ฃผํŒŒ์ˆ˜ ํ†ค์˜ ํŒŒ์›Œ๊ฐ€ ํ‰๊ท  ์ˆ˜์‹ ํŒŒ์›Œ์—์„œ ์ผ์ •ํ•œ ๋ฒ”์œ„ ์•ˆ์— ๋“ค์–ด์˜ฌ ํ™•๋ฅ ์ด ๋–จ์–ด์ง€๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค.์ด ๋…ผ๋ฌธ์€ ๋‘๋‡Œํ•œ๊ตญ 21 ์‚ฌ์—…๊ณผ ๋Œ€ํ•™ IT ์—ฐ๊ตฌ์„ผํ„ฐ ์‚ฌ์—…(ITRC)์˜ ์ง€์›์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค

    Measurement and Analysis of In-home Linear Periodically Time-variant Powerline Channel

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    Indoor power-line channel response exhibits a time-varing behaviour with a two fold nature. The first one is the traditional long-term variation caused by the connection and disconnection of electrical devices. The second one is the short-term variation, synchronous to the mains, whose origin is the dependence of the impedance presented by electrical devices on the mains voltage. In this paper, a statistical analysis of cyclo-stationary channel properties obtained from a measurement campaign performed at different scenarios is given.๋ณธ ๋…ผ๋ฌธ์€ Brain Korea 21 ์‚ฌ์—…์˜ ์ง€์›์œผ๋กœ ์ž‘์„ฑ๋˜์—ˆ

    5GHz wideband channel characteristics for WLAN in apartment building

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    ๋ณธ ๋…ผ๋ฌธ์—๋Š” ์ฐจ์„ธ๋Œ€ ๋ฌด์„ ๋žœ ์‹œ์Šคํ…œ์— ์‚ฌ์šฉ๋  5GHz ๊ด‘๋Œ€์—ญ ๋ฌด์„ ํ†ต์‹ ์ฑ„๋„์˜ ์ธก์ •๊ณผ์ • ๋ฐ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ๊ฐ€ ๋‚˜ํƒ€๋‚˜ ์žˆ๋‹ค. ์ธก์ •์‹œ์Šคํ…œ์€ ์œ ์‚ฌ์žก์Œ ์ƒ๊ด€๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ๋ฐœ์ƒ์‹œํ‚จ ๋Œ€์—ญํญ 100MHz์˜ ๊ด‘๋Œ€์—ญ ์‹  ํ˜ธ๋ฅผ ๋ฌด์ง€ํ–ฅ์„ฑ ์•ˆํ…Œ๋‚˜๋ฅผ ํ†ตํ•ด ์ฃผ๊ณ ๋ฐ›๋Š” ๋ฐฉ์‹์œผ๋กœ ๊ตฌ์„ฑ๋˜์—ˆ์œผ๋ฉฐ, ์ธก์ •์‹คํ—˜์€ ํ•œ๊ตญ์˜ ๋Œ€ํ‘œ์ ์ธ ๊ฑฐ์ฃผ ํ™˜๊ฒฝ์ธ ์•„ํŒŒํŠธ์—์„œ ์ด๋ฃจ์–ด์กŒ๋‹ค. ์†ก์‹ ๊ธฐ๋Š” ํŠน์ •ํ•œ ๊ฐ€์ •์˜ ํ•œ ๊ฐ€์šด๋ฐ ์ง€์ ๊ณผ ๋ฌด์„ ๋žœ์„ ๊ฐ€์žฅ ๋งŽ์ด ์‚ฌ์šฉ ํ•  ๊ฒƒ ๊ฐ™์€ ์ง€์ , 2๊ณณ์— ์„ค์น˜ํ•˜์˜€๊ณ  ์ˆ˜์‹ ๊ธฐ๋Š” ๊ฐ๊ฐ์˜ ์†ก์‹ ๊ธฐ ์œ„์น˜๋งˆ๋‹ค ๊ทธ ์ง‘ ๋‚ด๋ถ€์™€ ์ธ์ ‘ํ•œ ์ง‘๋“ค์˜ ์ฃผ์š”์ง€์ ์„ ์ด๋™ํ•˜๋ฉด์„œ ์†ก์‹ ์‹ ํ˜ธ๋ฅผ ์ธก์ •ํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์†ก์‹ ๊ธฐ๊ฐ€ ๊ฐ€์˜ฅ ๊ฐ€์šด๋ฐ์— ์กด์žฌํ•˜๋Š” ๊ฒƒ์ด ๊ฐ€ ์˜ฅ ๋‚ด์˜ ๊ณ ๋ฅธ ์ „ํŒŒํŠน์„ฑ์„ ์œ ์ง€ํ•˜๊ณ  ์ด์›ƒ์ง‘์œผ๋กœ์˜ ๊ฐ„์„ญ์„ ์ค„ ์ผ ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ด๋ฉฐ, ์‹œ์Šคํ…œ ์„ค๊ณ„ ์‹œ์— ์•ž ๊ฑด๋ฌผ์— ๋ฐ˜์‚ฌ๋˜์–ด ๋“ค์–ด์˜ค๋Š” ์‹ ํ˜ธ์— ๋Œ€ํ•œ ์ถฉ๋ถ„ํ•œ ๊ณ ๋ ค๊ฐ€ ์žˆ์–ด์•ผ ํ•  ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฐ„์„ญ ๋ฌธ ์ œ์˜ ๊ฒฝ์šฐ, ์ด์›ƒ์ง‘์— ๋ฏธ์น˜๋Š” ๊ฐ„์„ญ์ด ์œ„, ์•„๋žซ์ง‘์— ๋ฏธ์น˜๋Š” ๊ฒƒ๋ณด๋‹ค ํฐ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค
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