| IVOD_ID |
160866 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160866 |
| 日期 |
2025-05-01 |
| 會議資料.會議代碼 |
委員會-11-3-19-11 |
| 會議資料.會議代碼:str |
第11屆第3會期經濟委員會第11次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
3 |
| 會議資料.會次 |
11 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
19 |
| 會議資料.委員會代碼:str[0] |
經濟委員會 |
| 會議資料.標題 |
第11屆第3會期經濟委員會第11次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-05-01T10:57:56+08:00 |
| 結束時間 |
2025-05-01T11:07:01+08:00 |
| 影片長度 |
00:09:05 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/872e8bbe37846fc054531937b5c43c094de01e9c6ce952975144d4d67ecd09c12f620ca07494474b5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鍾佳濱 |
| 委員發言時間 |
10:57:56 - 11:07:01 |
| 會議時間 |
2025-05-01T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期經濟委員會第11次全體委員會議（事由：審查：
一、本院委員魯明哲等 19 人擬具「再生能源發展條例第十三條條文修正草案」案。
二、本院委員謝衣鳯等 17人擬具「再生能源發展條例第十三條條文修正草案」案。
【4月30日及5月1日二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
8.92409375 |
| transcript.pyannote[0].end |
14.02034375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
14.50971875 |
| transcript.pyannote[1].end |
17.90159375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
18.76221875 |
| transcript.pyannote[2].end |
19.60596875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
26.96346875 |
| transcript.pyannote[3].end |
27.46971875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
27.55409375 |
| transcript.pyannote[4].end |
30.05159375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
30.27096875 |
| transcript.pyannote[5].end |
30.62534375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
31.06409375 |
| transcript.pyannote[6].end |
33.13971875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
33.39284375 |
| transcript.pyannote[7].end |
34.00034375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
34.21971875 |
| transcript.pyannote[8].end |
38.33721875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
39.14721875 |
| transcript.pyannote[9].end |
39.92346875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
41.30721875 |
| transcript.pyannote[10].end |
41.84721875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
43.18034375 |
| transcript.pyannote[11].end |
43.55159375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
43.78784375 |
| transcript.pyannote[12].end |
46.69034375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
47.07846875 |
| transcript.pyannote[13].end |
48.81659375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
49.30596875 |
| transcript.pyannote[14].end |
51.53346875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
51.60096875 |
| transcript.pyannote[15].end |
52.37721875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
52.37721875 |
| transcript.pyannote[16].end |
53.38971875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
53.79471875 |
| transcript.pyannote[17].end |
55.63409375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
55.65096875 |
| transcript.pyannote[18].end |
56.20784375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
56.73096875 |
| transcript.pyannote[19].end |
58.97534375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
59.38034375 |
| transcript.pyannote[20].end |
61.43909375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
61.55721875 |
| transcript.pyannote[21].end |
63.14346875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
64.42596875 |
| transcript.pyannote[22].end |
65.26971875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
67.51409375 |
| transcript.pyannote[23].end |
72.12096875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
69.84284375 |
| transcript.pyannote[24].end |
74.90534375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
74.95596875 |
| transcript.pyannote[25].end |
75.02346875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
75.19221875 |
| transcript.pyannote[26].end |
81.48659375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
81.67221875 |
| transcript.pyannote[27].end |
84.18659375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
84.40596875 |
| transcript.pyannote[28].end |
85.70534375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
85.87409375 |
| transcript.pyannote[29].end |
87.46034375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
87.73034375 |
| transcript.pyannote[30].end |
91.12221875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
91.40909375 |
| transcript.pyannote[31].end |
91.91534375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
92.45534375 |
| transcript.pyannote[32].end |
94.64909375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
95.15534375 |
| transcript.pyannote[33].end |
96.15096875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
96.60659375 |
| transcript.pyannote[34].end |
96.89346875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
98.47971875 |
| transcript.pyannote[35].end |
99.50909375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
99.88034375 |
| transcript.pyannote[36].end |
100.48784375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
100.79159375 |
| transcript.pyannote[37].end |
102.41159375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
102.95159375 |
| transcript.pyannote[38].end |
103.79534375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
103.96409375 |
| transcript.pyannote[39].end |
106.27596875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
108.08159375 |
| transcript.pyannote[40].end |
110.14034375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
110.32596875 |
| transcript.pyannote[41].end |
112.35096875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
112.99221875 |
| transcript.pyannote[42].end |
115.48971875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
115.86096875 |
| transcript.pyannote[43].end |
118.30784375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
118.72971875 |
| transcript.pyannote[44].end |
122.44221875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
122.81346875 |
| transcript.pyannote[45].end |
125.26034375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
125.29409375 |
| transcript.pyannote[46].end |
129.76596875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
129.96846875 |
| transcript.pyannote[47].end |
130.37346875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
130.37346875 |
| transcript.pyannote[48].end |
131.33534375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
131.68971875 |
| transcript.pyannote[49].end |
134.79471875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
135.03096875 |
| transcript.pyannote[50].end |
135.95909375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
136.24596875 |
| transcript.pyannote[51].end |
138.43971875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
138.72659375 |
| transcript.pyannote[52].end |
140.90346875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
142.33784375 |
| transcript.pyannote[53].end |
142.35471875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
142.35471875 |
| transcript.pyannote[54].end |
143.51909375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
143.58659375 |
| transcript.pyannote[55].end |
144.97034375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
146.01659375 |
| transcript.pyannote[56].end |
147.48471875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
147.78846875 |
| transcript.pyannote[57].end |
148.64909375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
149.12159375 |
| transcript.pyannote[58].end |
151.90596875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
152.19284375 |
| transcript.pyannote[59].end |
155.51721875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
156.12471875 |
| transcript.pyannote[60].end |
157.93034375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
159.19596875 |
| transcript.pyannote[61].end |
162.99284375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
163.66784375 |
| transcript.pyannote[62].end |
164.61284375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
164.95034375 |
| transcript.pyannote[63].end |
168.03846875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
168.27471875 |
| transcript.pyannote[64].end |
168.61221875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
168.98346875 |
| transcript.pyannote[65].end |
171.98721875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
172.22346875 |
| transcript.pyannote[66].end |
178.50096875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
178.72034375 |
| transcript.pyannote[67].end |
181.97721875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
182.17971875 |
| transcript.pyannote[68].end |
182.70284375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
183.19221875 |
| transcript.pyannote[69].end |
185.85846875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
186.46596875 |
| transcript.pyannote[70].end |
187.22534375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
187.57971875 |
| transcript.pyannote[71].end |
188.89596875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
190.65096875 |
| transcript.pyannote[72].end |
190.73534375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
190.73534375 |
| transcript.pyannote[73].end |
190.93784375 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
190.93784375 |
| transcript.pyannote[74].end |
191.03909375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
191.03909375 |
| transcript.pyannote[75].end |
199.40909375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
199.27409375 |
| transcript.pyannote[76].end |
199.34159375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
199.40909375 |
| transcript.pyannote[77].end |
199.44284375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
199.44284375 |
| transcript.pyannote[78].end |
199.45971875 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
199.45971875 |
| transcript.pyannote[79].end |
208.03221875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
200.69159375 |
| transcript.pyannote[80].end |
201.51846875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
208.03221875 |
| transcript.pyannote[81].end |
211.54221875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
211.87971875 |
| transcript.pyannote[82].end |
214.17471875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
214.56284375 |
| transcript.pyannote[83].end |
216.97596875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
217.41471875 |
| transcript.pyannote[84].end |
218.47784375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
218.61284375 |
| transcript.pyannote[85].end |
228.56909375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
228.92346875 |
| transcript.pyannote[86].end |
236.33159375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
236.48346875 |
| transcript.pyannote[87].end |
238.00221875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
238.40721875 |
| transcript.pyannote[88].end |
239.45346875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
239.82471875 |
| transcript.pyannote[89].end |
242.69346875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
243.01409375 |
| transcript.pyannote[90].end |
246.38909375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
247.67159375 |
| transcript.pyannote[91].end |
248.05971875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
248.04284375 |
| transcript.pyannote[92].end |
249.40971875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
249.69659375 |
| transcript.pyannote[93].end |
252.32909375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
252.58221875 |
| transcript.pyannote[94].end |
253.13909375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
253.30784375 |
| transcript.pyannote[95].end |
254.89409375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
255.72096875 |
| transcript.pyannote[96].end |
265.42409375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
266.03159375 |
| transcript.pyannote[97].end |
270.25034375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
270.70596875 |
| transcript.pyannote[98].end |
274.67159375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
275.38034375 |
| transcript.pyannote[99].end |
276.89909375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
277.21971875 |
| transcript.pyannote[100].end |
280.30784375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
280.62846875 |
| transcript.pyannote[101].end |
282.04596875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
282.24846875 |
| transcript.pyannote[102].end |
282.95721875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
283.58159375 |
| transcript.pyannote[103].end |
284.61096875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
284.88096875 |
| transcript.pyannote[104].end |
285.89346875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
286.45034375 |
| transcript.pyannote[105].end |
288.45846875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
289.09971875 |
| transcript.pyannote[106].end |
290.02784375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
290.34846875 |
| transcript.pyannote[107].end |
295.30971875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
296.10284375 |
| transcript.pyannote[108].end |
298.14471875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
298.87034375 |
| transcript.pyannote[109].end |
299.74784375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
301.04721875 |
| transcript.pyannote[110].end |
303.24096875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
302.93721875 |
| transcript.pyannote[111].end |
305.73846875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
305.16471875 |
| transcript.pyannote[112].end |
309.11346875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
309.31596875 |
| transcript.pyannote[113].end |
312.03284375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
310.88534375 |
| transcript.pyannote[114].end |
311.62784375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
312.03284375 |
| transcript.pyannote[115].end |
312.89346875 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
312.89346875 |
| transcript.pyannote[116].end |
313.02846875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
313.02846875 |
| transcript.pyannote[117].end |
313.34909375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
313.34909375 |
| transcript.pyannote[118].end |
313.36596875 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
314.07471875 |
| transcript.pyannote[119].end |
316.99409375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
314.10846875 |
| transcript.pyannote[120].end |
314.69909375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
316.99409375 |
| transcript.pyannote[121].end |
317.01096875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
317.71971875 |
| transcript.pyannote[122].end |
324.41909375 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
322.90034375 |
| transcript.pyannote[123].end |
327.99659375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
327.99659375 |
| transcript.pyannote[124].end |
331.37159375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
328.01346875 |
| transcript.pyannote[125].end |
328.72221875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
331.60784375 |
| transcript.pyannote[126].end |
336.61971875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
336.82221875 |
| transcript.pyannote[127].end |
337.66596875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
338.05409375 |
| transcript.pyannote[128].end |
342.81284375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
343.36971875 |
| transcript.pyannote[129].end |
346.05284375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
346.54221875 |
| transcript.pyannote[130].end |
349.36034375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
349.59659375 |
| transcript.pyannote[131].end |
350.57534375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
350.84534375 |
| transcript.pyannote[132].end |
352.19534375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
353.81534375 |
| transcript.pyannote[133].end |
355.55346875 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
353.91659375 |
| transcript.pyannote[134].end |
354.25409375 |
| transcript.pyannote[135].speaker |
SPEAKER_01 |
| transcript.pyannote[135].start |
355.63784375 |
| transcript.pyannote[135].end |
361.03784375 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
361.03784375 |
| transcript.pyannote[136].end |
361.24034375 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
361.24034375 |
| transcript.pyannote[137].end |
364.66596875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
361.51034375 |
| transcript.pyannote[138].end |
362.55659375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
364.66596875 |
| transcript.pyannote[139].end |
365.07096875 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
365.07096875 |
| transcript.pyannote[140].end |
373.12034375 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
367.80471875 |
| transcript.pyannote[141].end |
367.97346875 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
369.79596875 |
| transcript.pyannote[142].end |
370.36971875 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
371.85471875 |
| transcript.pyannote[143].end |
372.36096875 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
372.90096875 |
| transcript.pyannote[144].end |
375.34784375 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
373.66034375 |
| transcript.pyannote[145].end |
373.77846875 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
375.46596875 |
| transcript.pyannote[146].end |
377.38971875 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
377.57534375 |
| transcript.pyannote[147].end |
397.90971875 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
381.50721875 |
| transcript.pyannote[148].end |
381.67596875 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
398.77034375 |
| transcript.pyannote[149].end |
400.44096875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
401.13284375 |
| transcript.pyannote[150].end |
404.17034375 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
404.54159375 |
| transcript.pyannote[151].end |
407.25846875 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
407.96721875 |
| transcript.pyannote[152].end |
409.78971875 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
410.41409375 |
| transcript.pyannote[153].end |
411.15659375 |
| transcript.pyannote[154].speaker |
SPEAKER_00 |
| transcript.pyannote[154].start |
411.69659375 |
| transcript.pyannote[154].end |
412.15221875 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
412.52346875 |
| transcript.pyannote[155].end |
413.72159375 |
| transcript.pyannote[156].speaker |
SPEAKER_00 |
| transcript.pyannote[156].start |
413.92409375 |
| transcript.pyannote[156].end |
417.56909375 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
417.88971875 |
| transcript.pyannote[157].end |
418.95284375 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
419.34096875 |
| transcript.pyannote[158].end |
420.04971875 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
420.30284375 |
| transcript.pyannote[159].end |
420.79221875 |
| transcript.pyannote[160].speaker |
SPEAKER_00 |
| transcript.pyannote[160].start |
421.46721875 |
| transcript.pyannote[160].end |
423.23909375 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
423.47534375 |
| transcript.pyannote[161].end |
425.07846875 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
425.97284375 |
| transcript.pyannote[162].end |
428.47034375 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
428.95971875 |
| transcript.pyannote[163].end |
433.38096875 |
| transcript.pyannote[164].speaker |
SPEAKER_01 |
| transcript.pyannote[164].start |
434.03909375 |
| transcript.pyannote[164].end |
436.84034375 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
435.03471875 |
| transcript.pyannote[165].end |
435.38909375 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
436.63784375 |
| transcript.pyannote[166].end |
437.02596875 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
437.16096875 |
| transcript.pyannote[167].end |
440.90721875 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
440.97471875 |
| transcript.pyannote[168].end |
441.02534375 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
441.04221875 |
| transcript.pyannote[169].end |
444.06284375 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
444.43409375 |
| transcript.pyannote[170].end |
445.24409375 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
445.54784375 |
| transcript.pyannote[171].end |
447.58971875 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
447.92721875 |
| transcript.pyannote[172].end |
449.39534375 |
| transcript.pyannote[173].speaker |
SPEAKER_00 |
| transcript.pyannote[173].start |
449.53034375 |
| transcript.pyannote[173].end |
454.72784375 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
454.98096875 |
| transcript.pyannote[174].end |
461.05596875 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
461.08971875 |
| transcript.pyannote[175].end |
465.13971875 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
465.44346875 |
| transcript.pyannote[176].end |
470.20221875 |
| transcript.pyannote[177].speaker |
SPEAKER_00 |
| transcript.pyannote[177].start |
470.72534375 |
| transcript.pyannote[177].end |
479.51721875 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
479.60159375 |
| transcript.pyannote[178].end |
480.79971875 |
| transcript.pyannote[179].speaker |
SPEAKER_00 |
| transcript.pyannote[179].start |
481.01909375 |
| transcript.pyannote[179].end |
483.68534375 |
| transcript.pyannote[180].speaker |
SPEAKER_00 |
| transcript.pyannote[180].start |
484.59659375 |
| transcript.pyannote[180].end |
485.52471875 |
| transcript.pyannote[181].speaker |
SPEAKER_00 |
| transcript.pyannote[181].start |
485.84534375 |
| transcript.pyannote[181].end |
486.53721875 |
| transcript.pyannote[182].speaker |
SPEAKER_00 |
| transcript.pyannote[182].start |
486.67221875 |
| transcript.pyannote[182].end |
487.02659375 |
| transcript.pyannote[183].speaker |
SPEAKER_00 |
| transcript.pyannote[183].start |
487.12784375 |
| transcript.pyannote[183].end |
488.29221875 |
| transcript.pyannote[184].speaker |
SPEAKER_00 |
| transcript.pyannote[184].start |
488.61284375 |
| transcript.pyannote[184].end |
488.93346875 |
| transcript.pyannote[185].speaker |
SPEAKER_00 |
| transcript.pyannote[185].start |
489.38909375 |
| transcript.pyannote[185].end |
489.77721875 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
490.13159375 |
| transcript.pyannote[186].end |
492.34221875 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
492.67971875 |
| transcript.pyannote[187].end |
495.70034375 |
| transcript.pyannote[188].speaker |
SPEAKER_00 |
| transcript.pyannote[188].start |
495.95346875 |
| transcript.pyannote[188].end |
498.72096875 |
| transcript.pyannote[189].speaker |
SPEAKER_00 |
| transcript.pyannote[189].start |
498.88971875 |
| transcript.pyannote[189].end |
499.24409375 |
| transcript.pyannote[190].speaker |
SPEAKER_00 |
| transcript.pyannote[190].start |
499.63221875 |
| transcript.pyannote[190].end |
503.07471875 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
503.56409375 |
| transcript.pyannote[191].end |
504.99846875 |
| transcript.pyannote[192].speaker |
SPEAKER_01 |
| transcript.pyannote[192].start |
504.52596875 |
| transcript.pyannote[192].end |
512.03534375 |
| transcript.pyannote[193].speaker |
SPEAKER_00 |
| transcript.pyannote[193].start |
512.03534375 |
| transcript.pyannote[193].end |
512.13659375 |
| transcript.pyannote[194].speaker |
SPEAKER_01 |
| transcript.pyannote[194].start |
512.45721875 |
| transcript.pyannote[194].end |
512.47409375 |
| transcript.pyannote[195].speaker |
SPEAKER_00 |
| transcript.pyannote[195].start |
512.47409375 |
| transcript.pyannote[195].end |
513.94221875 |
| transcript.pyannote[196].speaker |
SPEAKER_01 |
| transcript.pyannote[196].start |
514.48221875 |
| transcript.pyannote[196].end |
514.49909375 |
| transcript.pyannote[197].speaker |
SPEAKER_00 |
| transcript.pyannote[197].start |
514.49909375 |
| transcript.pyannote[197].end |
516.91221875 |
| transcript.pyannote[198].speaker |
SPEAKER_00 |
| transcript.pyannote[198].start |
517.08096875 |
| transcript.pyannote[198].end |
522.51471875 |
| transcript.pyannote[199].speaker |
SPEAKER_00 |
| transcript.pyannote[199].start |
522.76784375 |
| transcript.pyannote[199].end |
524.21909375 |
| transcript.pyannote[200].speaker |
SPEAKER_00 |
| transcript.pyannote[200].start |
524.79284375 |
| transcript.pyannote[200].end |
526.12596875 |
| transcript.pyannote[201].speaker |
SPEAKER_00 |
| transcript.pyannote[201].start |
526.39596875 |
| transcript.pyannote[201].end |
529.39971875 |
| transcript.pyannote[202].speaker |
SPEAKER_00 |
| transcript.pyannote[202].start |
529.70346875 |
| transcript.pyannote[202].end |
532.65659375 |
| transcript.pyannote[203].speaker |
SPEAKER_00 |
| transcript.pyannote[203].start |
532.92659375 |
| transcript.pyannote[203].end |
539.27159375 |
| transcript.pyannote[204].speaker |
SPEAKER_00 |
| transcript.pyannote[204].start |
539.59221875 |
| transcript.pyannote[204].end |
543.38909375 |
| transcript.whisperx[0].start |
9.133 |
| transcript.whisperx[0].end |
38.098 |
| transcript.whisperx[0].text |
主席 在場的委員先進 列席的總經理事長 官員 會長 工作夥伴媒體記者女士先生有請我們經濟部郭部長和能源署的李署長郭部長 李署長委員好部長好 署長好 你看第一頁部長您是個企業家來自商業界商業上解決自己的問題和解決別人的問題最大的差別在哪裡 |
| transcript.whisperx[1].start |
39.215 |
| transcript.whisperx[1].end |
63.103 |
| transcript.whisperx[1].text |
直覺反應商業上他想來我直接看看您答案對不對您要給我評題一下解決自己的問題要花錢解決別人的問題可以賺錢您同意嗎這個同意那這個誰很會做新加坡跟台灣都很會對不對新加坡跟台灣都不產石油啊結果我們都有很大規模的石化業您覺得誰的規模比較大新加坡跟台灣 |
| transcript.whisperx[2].start |
67.577 |
| transcript.whisperx[2].end |
93.604 |
| transcript.whisperx[2].text |
新加坡這個我不清楚新加坡比較大這很特別嘛那他就供應給誰呢我們來看一下新加坡是世界三大煉油中心之一啊新加坡除了金融業跟觀光業之外他的行業幫他賺最多錢因為他周邊呢有產油的馬來西亞跟印尼他透過填海遭遇涉熱大量的煉油廠最重要是什麼麻六甲海峽呢世界上哇所有的郵輪都要從那邊經過是不是這樣好那往下看那 |
| transcript.whisperx[3].start |
98.553 |
| transcript.whisperx[3].end |
112.098 |
| transcript.whisperx[3].text |
新加坡的燃料它是供應給船舶用它的石化業那你覺得台灣的石化業是做來做什麼的做下游產品嘛對 而且我們不是自己用我們還出口對不對 |
| transcript.whisperx[4].start |
113.072 |
| transcript.whisperx[4].end |
140.55 |
| transcript.whisperx[4].text |
所以我們跟新加坡自己的船隊啊它在全世界只有占1.3% 一點點它煉那麼多的油都是給路過的船舶使用 賺人家的錢台灣的石化業進口那麼多的原油做出來的石化材料也不是自己用而已賣給別人 也賺別人錢 您同意嗎是好 往下看所以新加坡跟台灣都有船 航運船隊那剛剛我說了嘛新加坡的船隊當然在自己那邊加油啊台灣的船隊會在哪裡加油 你覺得 |
| transcript.whisperx[5].start |
142.366 |
| transcript.whisperx[5].end |
162.84 |
| transcript.whisperx[5].text |
看他的航線吧看航線我們往下看台灣的航運能力我們前貨運的十二大航商台灣佔了三名我們的運力快了市佔率在全球快了一成所以這個船隊是不是規模很龐大很龐大嘛但是他在哪裡加油呢我可以賣個關子往下看 |
| transcript.whisperx[6].start |
163.895 |
| transcript.whisperx[6].end |
188.759 |
| transcript.whisperx[6].text |
現在為了降低碳排應用而生的氫能產業你覺得在台灣他除了發電工業製造還有運輸哪一方面需求最迫切我們往下看我再給你看一下台灣要降低碳排所以我們的氫能未來要供應給發電供應給製造供應給運輸運輸又有陸海空你覺得哪一個占比最高哪個需求最迫切 |
| transcript.whisperx[7].start |
190.917 |
| transcript.whisperx[7].end |
215.82 |
| transcript.whisperx[7].text |
這個都在未來吧 現在氫能沒有那麼大氫能沒有那麼大 是我們要降低碳排那你覺得現在世界各國都在研究氫能怎麼樣來降低碳排要看成本了 報告委員我想這件事情喔 替代的能源是這樣就是方法有很多但是就商業的考量來講我們還是要考慮那個成本是 除了看成本之外 成本會用什麼來做碳稅就是一種成本 我們往下看其實呢 在運輸的領域當中 |
| transcript.whisperx[8].start |
217.741 |
| transcript.whisperx[8].end |
246.198 |
| transcript.whisperx[8].text |
陸海空啊現在對氫能需求最陰氣的是航運我們往下看喔IMO是國際海事組織它已經規定了為了降低溫室氣體排放在2028年開始如果你的船舶用有沒有用低碳燃料可以用課100美金到380美金的額外的碳稅所以部長你說對了嘛是不是價格出來了如果你不使用低碳燃料你就會被課碳稅嘛同意嘛齁所以你覺得航運是不是很迫切需要使用低碳燃料 |
| transcript.whisperx[9].start |
249.831 |
| transcript.whisperx[9].end |
274.317 |
| transcript.whisperx[9].text |
所以低碳燃料目前對我們航運的衝擊是什麼長榮他去年買了24艘假存的雙燃料未來他會再訂11艘24000噸的LNG的雙燃料連萬海都要用生質燃油導入那剛剛講了航運就都看很遠一艘船訂下去要用二三十年雖然是未來的事情現在就開始做準備是不是應該要這樣做企業家是不是要這樣做 |
| transcript.whisperx[10].start |
275.444 |
| transcript.whisperx[10].end |
299.664 |
| transcript.whisperx[10].text |
是嗎 好 往下看但是剛剛揭曉了 我們關谷的陽明海運呢它到哪裡去加低碳燃料 到韓國啊 您說的沒有錯輕對台灣來講 它是一個進口的 價格也比較貴所以我們的船隊 自家船隊要用的油 低碳燃料到別的國家去加台灣有沒有加住生質燃油的能力 署長有沒有 |
| transcript.whisperx[11].start |
301.107 |
| transcript.whisperx[11].end |
316.54 |
| transcript.whisperx[11].text |
台灣可以生產生殖奶油有這個生產的能力但是目前我們像現在那個玉米玉米都可以來做生殖奶油但是目前有沒有供應給我們傳播用呢因為市場太小我們台灣這個市場 |
| transcript.whisperx[12].start |
319.042 |
| transcript.whisperx[12].end |
342.628 |
| transcript.whisperx[12].text |
市場能不能講現在全世界的航運公司2028年要面對100到380美金對一個大的製造廠來講我講的不是工業製造我講的是船舶燃料往下看所以未來為了滿足IMO的溫體的排放所以台灣要思考有沒有可能幫這個船隊經過台灣海峽的船隊佔五分之一的世界航運量 |
| transcript.whisperx[13].start |
343.43 |
| transcript.whisperx[13].end |
351.911 |
| transcript.whisperx[13].text |
我們國家的船隊佔十分之一的航運量這些船舶有沒有可能在台灣加注低碳燃料這是不是一個市場部長你認為這是不是一個市場 |
| transcript.whisperx[14].start |
354.031 |
| transcript.whisperx[14].end |
381.588 |
| transcript.whisperx[14].text |
就我商業的看法啦就是通過台灣海峽來台灣加油的這個機率不高因為他要加低碳燃料嘛所以我的意思就是說其實我們高雄港來高雄港然後來轉運高雄港變成一個大型的轉運中心的時候那在這個地方加油這才有機會啦是的 沒有錯所以您說的沒有錯如果是在這邊有吞吐他跟新加坡的馬六甲海峽有吞吐的時候他會同時加注燃料 |
| transcript.whisperx[15].start |
382.108 |
| transcript.whisperx[15].end |
409.58 |
| transcript.whisperx[15].text |
主要說的是說其實在我們思考輕能產業的時候不要只有經濟部思考說用來替代我們的LNG的火力發電的燃料要思考到說舉例講啦有人說不要為了喝一杯牛奶去養一頭牛對不對但是如果你家有個小牧場你可以跟大牧場批很多原乳來加工成鮮乳賣給全社區的人所以台灣有沒有綠能 有嘛 |
| transcript.whisperx[16].start |
410.472 |
| transcript.whisperx[16].end |
433.024 |
| transcript.whisperx[16].text |
有沒有風電 有嘛 有沒有光電 有嘛 但是錢價就不夠啊 這些電呢直接供應電力供應都來不及了有沒有可能去煉傳播燃料 不可能但是我們如果有這個技術 我們可以進國外類似原料的氫原料煉製成傳播要用的低碳多元燃料 你覺得有沒有可能這樣做 |
| transcript.whisperx[17].start |
434.233 |
| transcript.whisperx[17].end |
460.686 |
| transcript.whisperx[17].text |
這都有可能啦商業模式都可以發展是的所以就是因為是未來的模式所以拜託您發展往下看最後結論因為我國的港區跟我國的船隊規模有提供多元低碳燃料家族的業務所以請經濟部研究一下國營事業包括台灣中油有沒有帶動民間產業煉製及供應港區多元低碳燃料的可能性可不可以去請能源署評估一下是我們可以評估那我當然我昨天也問過交通部長了 |
| transcript.whisperx[18].start |
461.306 |
| transcript.whisperx[18].end |
488.72 |
| transcript.whisperx[18].text |
未來如果要對我們的港區的船舶提供多元低碳燃料也要專用的管路跟儲槽這個就是交通部的事情了所以最後我要請經濟部還有能源署跟台電和中油本席將會召開公聽會我會請交通部跟經濟部共同來研究氫能產業除了在台灣除了經濟部取代陸運的汽車用汽油氫能代替汽油用這個 |
| transcript.whisperx[19].start |
490.388 |
| transcript.whisperx[19].end |
502.894 |
| transcript.whisperx[19].text |
輕能代替LNG的發電之外有沒有可能鎖定船舶燃料這個檜面來把台灣打造成一個類似新加坡為我們國際航運的船舶加注多元低碳燃料的可能性 |
| transcript.whisperx[20].start |
503.638 |
| transcript.whisperx[20].end |
525.858 |
| transcript.whisperx[20].text |
署長你要不要補充一下我們來研究啦我要跟委員報告所有的事情其實最後還是成本來做決定是的所以就是碳定價的問題如果說今天我們經濟部有辦法評估2030或2035年我們可以提供一個什麼樣的低碳燃料的定價那交通部就會告訴你 |
| transcript.whisperx[21].start |
526.628 |
| transcript.whisperx[21].end |
542.811 |
| transcript.whisperx[21].text |
這樣的定價的低碳燃料我的船舶需要多少的量你就可以去規劃產生這樣的低碳燃料的一個限制規模交通部也可以去規劃供應這樣的低碳燃料給船舶的一個港部設施這樣的一個建議你會不會去評估我們來評估啦好 謝謝 |