| IVOD_ID |
168298 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/168298 |
| 日期 |
2026-04-08 |
| 會議資料.會議代碼 |
委員會-11-5-22-5 |
| 會議資料.會議代碼:str |
第11屆第5會期教育及文化委員會第5次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 會議資料.會次 |
5 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
22 |
| 會議資料.委員會代碼:str[0] |
教育及文化委員會 |
| 會議資料.標題 |
第11屆第5會期教育及文化委員會第5次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-04-08T12:49:38+08:00 |
| 結束時間 |
2026-04-08T12:55:47+08:00 |
| 影片長度 |
00:06:09 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/70d8fc05dcd8abb0cb82ca4debbb4feeb9b76447cfe948db3efd812baa63ee5839797466756a34355ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鍾佳濱 |
| 委員發言時間 |
12:49:38 - 12:55:47 |
| 會議時間 |
2026-04-08T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期教育及文化委員會第5次全體委員會議(事由:邀請國家科學及技術委員會主任委員吳誠文列席報告業務概況,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
6.34221875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
8.53596875 |
| transcript.pyannote[1].end |
20.55096875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
18.94784375 |
| transcript.pyannote[2].end |
19.16721875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
20.93909375 |
| transcript.pyannote[3].end |
22.91346875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
23.13284375 |
| transcript.pyannote[4].end |
23.50409375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
23.85846875 |
| transcript.pyannote[5].end |
26.22096875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
26.50784375 |
| transcript.pyannote[6].end |
33.62909375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
33.86534375 |
| transcript.pyannote[7].end |
41.66159375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
41.96534375 |
| transcript.pyannote[8].end |
48.46221875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
45.50909375 |
| transcript.pyannote[9].end |
45.69471875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
48.93471875 |
| transcript.pyannote[10].end |
50.79096875 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
51.29721875 |
| transcript.pyannote[11].end |
57.65909375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
58.80659375 |
| transcript.pyannote[12].end |
67.12596875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
67.58159375 |
| transcript.pyannote[13].end |
78.88784375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
79.88346875 |
| transcript.pyannote[14].end |
84.84471875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
85.33409375 |
| transcript.pyannote[15].end |
87.93284375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
86.76846875 |
| transcript.pyannote[16].end |
87.02159375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
88.01721875 |
| transcript.pyannote[17].end |
91.59471875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
89.09721875 |
| transcript.pyannote[18].end |
89.33346875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
92.23596875 |
| transcript.pyannote[19].end |
107.71034375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
94.49721875 |
| transcript.pyannote[20].end |
94.78409375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
104.38596875 |
| transcript.pyannote[21].end |
104.53784375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
106.49534375 |
| transcript.pyannote[22].end |
107.67659375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
108.33471875 |
| transcript.pyannote[23].end |
109.85346875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
110.78159375 |
| transcript.pyannote[24].end |
133.78221875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
113.12721875 |
| transcript.pyannote[25].end |
116.97471875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
133.93409375 |
| transcript.pyannote[26].end |
145.40909375 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
145.52721875 |
| transcript.pyannote[27].end |
148.41284375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
149.12159375 |
| transcript.pyannote[28].end |
151.63596875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
151.88909375 |
| transcript.pyannote[29].end |
157.57596875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
157.74471875 |
| transcript.pyannote[30].end |
169.75971875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
159.09471875 |
| transcript.pyannote[31].end |
159.65159375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
169.10159375 |
| transcript.pyannote[32].end |
170.62034375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
170.11409375 |
| transcript.pyannote[33].end |
170.63721875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
170.63721875 |
| transcript.pyannote[34].end |
171.24471875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
171.24471875 |
| transcript.pyannote[35].end |
171.66659375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
171.66659375 |
| transcript.pyannote[36].end |
171.76784375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
171.76784375 |
| transcript.pyannote[37].end |
171.85221875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
171.85221875 |
| transcript.pyannote[38].end |
171.90284375 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
171.90284375 |
| transcript.pyannote[39].end |
171.93659375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
171.93659375 |
| transcript.pyannote[40].end |
172.44284375 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
172.44284375 |
| transcript.pyannote[41].end |
172.59471875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
172.59471875 |
| transcript.pyannote[42].end |
172.67909375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
172.67909375 |
| transcript.pyannote[43].end |
172.74659375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
172.74659375 |
| transcript.pyannote[44].end |
172.96596875 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
172.96596875 |
| transcript.pyannote[45].end |
178.66971875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
173.15159375 |
| transcript.pyannote[46].end |
173.65784375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
174.92346875 |
| transcript.pyannote[47].end |
175.04159375 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
179.05784375 |
| transcript.pyannote[48].end |
183.19221875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
180.17159375 |
| transcript.pyannote[49].end |
180.99846875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
181.45409375 |
| transcript.pyannote[50].end |
182.34846875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
183.88409375 |
| transcript.pyannote[51].end |
185.90909375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
186.68534375 |
| transcript.pyannote[52].end |
190.02659375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
190.78596875 |
| transcript.pyannote[53].end |
191.39346875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
191.68034375 |
| transcript.pyannote[54].end |
197.21534375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
194.63346875 |
| transcript.pyannote[55].end |
194.95409375 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
197.21534375 |
| transcript.pyannote[56].end |
211.17096875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
211.33971875 |
| transcript.pyannote[57].end |
223.15221875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
223.65846875 |
| transcript.pyannote[58].end |
226.57784375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
226.61159375 |
| transcript.pyannote[59].end |
227.30346875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
227.59034375 |
| transcript.pyannote[60].end |
233.10846875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
234.50909375 |
| transcript.pyannote[61].end |
234.59346875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
234.59346875 |
| transcript.pyannote[62].end |
234.61034375 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
234.61034375 |
| transcript.pyannote[63].end |
235.03221875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
235.03221875 |
| transcript.pyannote[64].end |
236.21346875 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
236.21346875 |
| transcript.pyannote[65].end |
236.23034375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
236.23034375 |
| transcript.pyannote[66].end |
236.28096875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
236.28096875 |
| transcript.pyannote[67].end |
236.29784375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
236.29784375 |
| transcript.pyannote[68].end |
236.43284375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
236.43284375 |
| transcript.pyannote[69].end |
236.44971875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
236.44971875 |
| transcript.pyannote[70].end |
236.63534375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
236.63534375 |
| transcript.pyannote[71].end |
237.90096875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
236.90534375 |
| transcript.pyannote[72].end |
237.32721875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
237.90096875 |
| transcript.pyannote[73].end |
238.23846875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
238.23846875 |
| transcript.pyannote[74].end |
254.80971875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
238.28909375 |
| transcript.pyannote[75].end |
238.40721875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
238.81221875 |
| transcript.pyannote[76].end |
239.30159375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
255.83909375 |
| transcript.pyannote[77].end |
265.60971875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
258.72471875 |
| transcript.pyannote[78].end |
259.46721875 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
265.79534375 |
| transcript.pyannote[79].end |
268.41096875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
268.79909375 |
| transcript.pyannote[80].end |
269.30534375 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
269.49096875 |
| transcript.pyannote[81].end |
272.93346875 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
273.20346875 |
| transcript.pyannote[82].end |
279.80159375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
280.69596875 |
| transcript.pyannote[83].end |
287.81721875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
283.78409375 |
| transcript.pyannote[84].end |
284.13846875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
288.42471875 |
| transcript.pyannote[85].end |
302.54909375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
303.29159375 |
| transcript.pyannote[86].end |
304.94534375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
305.35034375 |
| transcript.pyannote[87].end |
311.47596875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
311.84721875 |
| transcript.pyannote[88].end |
311.88096875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
311.88096875 |
| transcript.pyannote[89].end |
311.89784375 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
311.89784375 |
| transcript.pyannote[90].end |
312.15096875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
312.15096875 |
| transcript.pyannote[91].end |
312.75846875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
312.75846875 |
| transcript.pyannote[92].end |
313.39971875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
313.55159375 |
| transcript.pyannote[93].end |
315.55971875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
316.20096875 |
| transcript.pyannote[94].end |
317.04471875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
317.36534375 |
| transcript.pyannote[95].end |
317.82096875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
318.39471875 |
| transcript.pyannote[96].end |
329.02596875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
329.14409375 |
| transcript.pyannote[97].end |
333.64971875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
334.13909375 |
| transcript.pyannote[98].end |
338.29034375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
338.86409375 |
| transcript.pyannote[99].end |
341.71596875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
342.17159375 |
| transcript.pyannote[100].end |
345.02346875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
345.29346875 |
| transcript.pyannote[101].end |
347.35221875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
347.53784375 |
| transcript.pyannote[102].end |
349.73159375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
349.88346875 |
| transcript.pyannote[103].end |
353.19096875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
353.68034375 |
| transcript.pyannote[104].end |
361.89846875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
362.15159375 |
| transcript.pyannote[105].end |
363.36659375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
363.55221875 |
| transcript.pyannote[106].end |
365.89784375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
366.23534375 |
| transcript.pyannote[107].end |
367.53471875 |
| transcript.whisperx[0].start |
0.069 |
| transcript.whisperx[0].end |
0.25 |
| transcript.whisperx[0].text |
有請吳主委 |
| transcript.whisperx[1].start |
9.587 |
| transcript.whisperx[1].end |
33.234 |
| transcript.whisperx[1].text |
黃處長跟張哲銘主委好 兩位處長好今天是談到國園院SMR初期報告誤導視聽國科會應關注能源並且延伸補助計畫來 我先請教一下主委最近大家都在談能源 再進行下一個來 除了我剛剛問經濟委員會問經濟部中東戰事天然氣吃緊結果經濟部說除了中東之外我們要採購來分散到美國或其他地方你同意嗎 |
| transcript.whisperx[2].start |
34.294 |
| transcript.whisperx[2].end |
56.287 |
| transcript.whisperx[2].text |
同意但是除了這個之外呢有人說這個電力供應要多元化我們不能電燃氣要光電跟地熱要加強開發你同意嗎這個我們都還要再研究再看看他的可行性但是電子產業來說新型核能也是選項什麼是新型核能我們來看一下這是前天有一個中央社的說台灣的小型模組化 |
| transcript.whisperx[3].start |
59.051 |
| transcript.whisperx[3].end |
78.303 |
| transcript.whisperx[3].text |
核整的供應圖呢它SMR研究今年啟動最快2035年會發出第一度電我嚇一跳啊喔 這個叫做國家原子科技研究院表示已經初步盤點了三檔SMR的技術可以讓高階核肺大減於七成請問 主委有沒有看到這個報導 |
| transcript.whisperx[4].start |
80.329 |
| transcript.whisperx[4].end |
107.57 |
| transcript.whisperx[4].text |
媒體的報導我沒有注意到那你知道國原院這個是什麼東東嗎國家原子能科技研究院它是有接受你們的補助我們是編科技上因為這個是那你覺得他這樣的一個報導是不是又符合我們總統所說的核廢要而解核安要確保社會有共識有符合在上條件嗎目前看他的資訊他現在就是要研究他的資訊目前有沒有 |
| transcript.whisperx[5].start |
108.407 |
| transcript.whisperx[5].end |
133.436 |
| transcript.whisperx[5].text |
有沒有達到這三項標準啊?SMR有沒有達到?目前是有機會有機會,好來我看一下我來看一下主委是不知道什麼是SMR所謂的小型化合反應爐它的技術是來自於核子潛艦為什麼?美蘇兩戰時間要長期的躲在水底下不用換氣不用換燃料所以呢SMR在軍事上一次裝填直到這個潛艦退役是不是這樣子? |
| transcript.whisperx[6].start |
134.236 |
| transcript.whisperx[6].end |
148.093 |
| transcript.whisperx[6].text |
所以它體積小容易移動所以就有人想到了那如果潛艦可以用那我們是不是可以把它拖來過其他的供電使用所以就有一個SMR的售電服務它只買電力供應服務你不用處理什麼 |
| transcript.whisperx[7].start |
149.141 |
| transcript.whisperx[7].end |
176.932 |
| transcript.whisperx[7].text |
核廢跟電廠主義的問題沒有核貨的問題主委這是不是你所知道的是目前在倡議的SMR它的來由跟它的原因受青睞的原因我的了解不是這個樣子那請問這SMR是什麼它為什麼在商業上可以來應用它的源頭是不是跟美國的核動力潛艦是來自於同一個源頭可能想法從那個地方開始但是真正技術的發展現在有好幾個新的技術那它真的可以把核廢壓縮減少七成以上嗎 |
| transcript.whisperx[8].start |
179.304 |
| transcript.whisperx[8].end |
187.09 |
| transcript.whisperx[8].text |
這是有機會的,但是還要進一步去研究2035年之前可以做到因為報紙上這樣寫啊那您自己評估有沒有可能 |
| transcript.whisperx[9].start |
191.855 |
| transcript.whisperx[9].end |
210.63 |
| transcript.whisperx[9].text |
是有機會因為現在是還在試驗的階段美國在試驗階段國科會剛剛提到國科會審查國務院的計畫掌握了這個內容沒有來往下看其實傳統核電跟ASMR重啟核電跟VS我們的機載傳統核電像牛棚的投手 |
| transcript.whisperx[10].start |
211.651 |
| transcript.whisperx[10].end |
232.919 |
| transcript.whisperx[10].text |
當我戰況吃緊的時候我趕快請中繼投手來投個五球三球解決一兩個打者這個你很熟對不對那個是緊急備援的但是呢SMR被搶的什麼指定打擊每一場都上而且真的是威力很大所以呢一個是吃緊缺少的緊急備援一個是成本高但是可以供應穩定的電力供應是不是未來的應用是這樣思考 |
| transcript.whisperx[11].start |
234.551 |
| transcript.whisperx[11].end |
254.328 |
| transcript.whisperx[11].text |
包含它的成本目前還很高所以說因為它的成本很高所以不是很多的產業都用得起我們來看一下哪些產業會把它當作基礎原理傳產毛利低它希望平衡的電力維持競爭力但是高科技產業毛利高它只要空電穩定它可以接受高電價 是不是這樣子 |
| transcript.whisperx[12].start |
256.703 |
| transcript.whisperx[12].end |
279.405 |
| transcript.whisperx[12].text |
如果電價高的話的確會有這種事是的,所以就SMR來講在國內是高科技產業在期待但是傳產的對他們意義不大因為你電價太高了所以我是說國科會對於國園院他所研究的內容有沒有辦法掌握到這個SMR的購電價格有沒有辦法確定他的服務內容和後段有沒有爆發在內是不是還有簽約的對象目前這三個東西跑出來了嗎 |
| transcript.whisperx[13].start |
280.905 |
| transcript.whisperx[13].end |
300.582 |
| transcript.whisperx[13].text |
還沒有,因為我們就是要先進行可行性研究所以我們是做可行性研究,我們會是未來的供應商嗎?不是吧?不是應該是其他有這個能力儲存這些封存後退役的這些SMR,他的國家才會提供我們要評估我們適不適合用人家在製作那個腦塞的藥,我們想說我們有那個卡生糖要吃嗎?是不是這樣? |
| transcript.whisperx[14].start |
303.519 |
| transcript.whisperx[14].end |
317.639 |
| transcript.whisperx[14].text |
這個比較粗俗一點啦所以說當這三個條件還沒有浮現之前我們敢說SMR在台灣可以解決產業的藍莓之急嗎現在還沒有這個結論是所以沒有購電價格產業沒有我要不要用你沒有 |
| transcript.whisperx[15].start |
318.942 |
| transcript.whisperx[15].end |
333.107 |
| transcript.whisperx[15].text |
服務的內容沒有確定核後端是不包含在我們的業者使用的範圍也就是說核後端你自己提供服務者你自己處理我們台灣沒有辦法處理核廢料或者說沒有供應的簽約對象如果這三者沒有半個 |
| transcript.whisperx[16].start |
334.207 |
| transcript.whisperx[16].end |
353.035 |
| transcript.whisperx[16].text |
那SMR在台灣的商業應用幾乎是不可能的你同不同意同意好謝謝好我們現在看所以請我們國科會做這個事情請調查一下國園院對外發布SMR這是初期媒體寫的這麼樣的白天正大國科會跟核安會一周內就你們部分提出說明好不好 |
| transcript.whisperx[17].start |
354.21 |
| transcript.whisperx[17].end |
366.704 |
| transcript.whisperx[17].text |
好第二個國科會未來應該加強化我們審查能源計畫包括國園院SMR中長期的研究計畫是要你們積極辦理但是請你們要審慎發布研究成果可以嗎是沒問題好謝謝 |