IVOD_ID |
159153 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159153 |
日期 |
2025-03-13 |
會議資料.會議代碼 |
委員會-11-3-15-2 |
會議資料.會議代碼:str |
第11屆第3會期內政委員會第2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 |
2 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
15 |
會議資料.委員會代碼:str[0] |
內政委員會 |
會議資料.標題 |
第11屆第3會期內政委員會第2次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-13T11:57:30+08:00 |
結束時間 |
2025-03-13T12:04:56+08:00 |
影片長度 |
00:07:26 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3b972b8f6f00770f1f948baee1af93ba2f58198bcf8270c186f8ffab8834d9833309862b0372d3b35ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
鍾佳濱 |
委員發言時間 |
11:57:30 - 12:04:56 |
會議時間 |
2025-03-13T09:00:00+08:00 |
會議名稱 |
(變更議程)立法院第11屆第3會期內政委員會第2次全體委員會議(事由:邀請內政部部長劉世芳、經濟部、交通部、金融監督管理委員會、台灣電力股份有限公司就「公寓大廈裝設電動車輛充電裝置之相關法令、國家標準、建築設計、管理維護、火災預防措施及相關保險類別與要保人之認定」進行專題報告,並備質詢。
【本次會議若因當日加開院會而停開,不再另行通知】) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.04784375 |
transcript.pyannote[0].end |
0.55409375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
0.95909375 |
transcript.pyannote[1].end |
2.59596875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
9.43034375 |
transcript.pyannote[2].end |
10.03784375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
15.87659375 |
transcript.pyannote[3].end |
28.02659375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
22.91346875 |
transcript.pyannote[4].end |
23.65596875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
26.18721875 |
transcript.pyannote[5].end |
26.20409375 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
26.20409375 |
transcript.pyannote[6].end |
26.82846875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
28.29659375 |
transcript.pyannote[7].end |
30.35534375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
31.33409375 |
transcript.pyannote[8].end |
32.49846875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
32.78534375 |
transcript.pyannote[9].end |
33.56159375 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
33.69659375 |
transcript.pyannote[10].end |
33.71346875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
33.71346875 |
transcript.pyannote[11].end |
34.60784375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
34.99596875 |
transcript.pyannote[12].end |
36.22784375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
36.53159375 |
transcript.pyannote[13].end |
37.99971875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
38.52284375 |
transcript.pyannote[14].end |
48.96846875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
49.59284375 |
transcript.pyannote[15].end |
69.97784375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
70.45034375 |
transcript.pyannote[16].end |
80.49096875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
80.92971875 |
transcript.pyannote[17].end |
82.14471875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
82.22909375 |
transcript.pyannote[18].end |
83.69721875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
84.57471875 |
transcript.pyannote[19].end |
84.87846875 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
84.91221875 |
transcript.pyannote[20].end |
85.38471875 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
85.80659375 |
transcript.pyannote[21].end |
94.29471875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
94.29471875 |
transcript.pyannote[22].end |
95.98221875 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
94.31159375 |
transcript.pyannote[23].end |
94.98659375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
96.69096875 |
transcript.pyannote[24].end |
109.49909375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
109.83659375 |
transcript.pyannote[25].end |
112.06409375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
112.19909375 |
transcript.pyannote[26].end |
115.87784375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
116.31659375 |
transcript.pyannote[27].end |
117.44721875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
117.98721875 |
transcript.pyannote[28].end |
120.53534375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
120.90659375 |
transcript.pyannote[29].end |
122.47596875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
123.03284375 |
transcript.pyannote[30].end |
123.55596875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
125.59784375 |
transcript.pyannote[31].end |
127.45409375 |
transcript.pyannote[32].speaker |
SPEAKER_03 |
transcript.pyannote[32].start |
127.45409375 |
transcript.pyannote[32].end |
127.47096875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
128.97284375 |
transcript.pyannote[33].end |
129.02346875 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
129.02346875 |
transcript.pyannote[34].end |
130.86284375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
129.66471875 |
transcript.pyannote[35].end |
130.28909375 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
131.20034375 |
transcript.pyannote[36].end |
141.64596875 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
141.94971875 |
transcript.pyannote[37].end |
150.65721875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
150.48846875 |
transcript.pyannote[38].end |
160.29284375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
160.47846875 |
transcript.pyannote[39].end |
161.03534375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
161.27159375 |
transcript.pyannote[40].end |
162.46971875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
162.92534375 |
transcript.pyannote[41].end |
165.96284375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
166.31721875 |
transcript.pyannote[42].end |
174.19784375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
174.68721875 |
transcript.pyannote[43].end |
176.86409375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
177.11721875 |
transcript.pyannote[44].end |
181.62284375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
181.99409375 |
transcript.pyannote[45].end |
186.14534375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
186.38159375 |
transcript.pyannote[46].end |
188.77784375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
190.49909375 |
transcript.pyannote[47].end |
191.83221875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
192.00096875 |
transcript.pyannote[48].end |
197.24909375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
197.62034375 |
transcript.pyannote[49].end |
199.02096875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
199.35846875 |
transcript.pyannote[50].end |
202.42971875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
202.53096875 |
transcript.pyannote[51].end |
202.88534375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
202.98659375 |
transcript.pyannote[52].end |
207.79596875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
208.45409375 |
transcript.pyannote[53].end |
208.72409375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
208.82534375 |
transcript.pyannote[54].end |
209.23034375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
209.31471875 |
transcript.pyannote[55].end |
210.05721875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
210.31034375 |
transcript.pyannote[56].end |
211.71096875 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
212.01471875 |
transcript.pyannote[57].end |
215.99721875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
216.60471875 |
transcript.pyannote[58].end |
220.80659375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
221.12721875 |
transcript.pyannote[59].end |
223.03409375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
223.03409375 |
transcript.pyannote[60].end |
223.33784375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
223.72596875 |
transcript.pyannote[61].end |
224.85659375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
225.07596875 |
transcript.pyannote[62].end |
226.81409375 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
226.37534375 |
transcript.pyannote[63].end |
228.18096875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
227.26971875 |
transcript.pyannote[64].end |
230.71221875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
229.32846875 |
transcript.pyannote[65].end |
230.81346875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
231.23534375 |
transcript.pyannote[66].end |
231.89346875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
232.19721875 |
transcript.pyannote[67].end |
247.36784375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
247.48596875 |
transcript.pyannote[68].end |
249.98346875 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
249.98346875 |
transcript.pyannote[69].end |
250.23659375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
250.23659375 |
transcript.pyannote[70].end |
251.80596875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
252.12659375 |
transcript.pyannote[71].end |
254.23596875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
255.34971875 |
transcript.pyannote[72].end |
255.75471875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
255.77159375 |
transcript.pyannote[73].end |
263.80409375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
264.15846875 |
transcript.pyannote[74].end |
266.04846875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
266.41971875 |
transcript.pyannote[75].end |
267.92159375 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
268.17471875 |
transcript.pyannote[76].end |
269.18721875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
269.54159375 |
transcript.pyannote[77].end |
276.20721875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
276.59534375 |
transcript.pyannote[78].end |
278.82284375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
279.21096875 |
transcript.pyannote[79].end |
280.08846875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
280.27409375 |
transcript.pyannote[80].end |
281.28659375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
281.59034375 |
transcript.pyannote[81].end |
282.65346875 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
283.34534375 |
transcript.pyannote[82].end |
291.81659375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
291.81659375 |
transcript.pyannote[83].end |
292.01909375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
292.01909375 |
transcript.pyannote[84].end |
292.99784375 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
292.03596875 |
transcript.pyannote[85].end |
292.13721875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
293.20034375 |
transcript.pyannote[86].end |
299.19096875 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
299.57909375 |
transcript.pyannote[87].end |
300.70971875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
300.67596875 |
transcript.pyannote[88].end |
301.04721875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
301.40159375 |
transcript.pyannote[89].end |
309.14721875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
309.56909375 |
transcript.pyannote[90].end |
316.58909375 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
317.28096875 |
transcript.pyannote[91].end |
319.55909375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
319.91346875 |
transcript.pyannote[92].end |
323.52471875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
323.65971875 |
transcript.pyannote[93].end |
324.94221875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
325.46534375 |
transcript.pyannote[94].end |
329.34659375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
329.44784375 |
transcript.pyannote[95].end |
330.98346875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
332.38409375 |
transcript.pyannote[96].end |
332.50221875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
332.50221875 |
transcript.pyannote[97].end |
332.68784375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
332.89034375 |
transcript.pyannote[98].end |
334.74659375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
334.74659375 |
transcript.pyannote[99].end |
334.76346875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
335.30346875 |
transcript.pyannote[100].end |
342.61034375 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
341.44596875 |
transcript.pyannote[101].end |
368.14221875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
369.08721875 |
transcript.pyannote[102].end |
384.96659375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
375.19596875 |
transcript.pyannote[103].end |
375.48284375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
384.96659375 |
transcript.pyannote[104].end |
396.07034375 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
396.20534375 |
transcript.pyannote[105].end |
397.79159375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
397.79159375 |
transcript.pyannote[106].end |
398.71971875 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
398.73659375 |
transcript.pyannote[107].end |
406.39784375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
406.63409375 |
transcript.pyannote[108].end |
406.65096875 |
transcript.pyannote[109].speaker |
SPEAKER_03 |
transcript.pyannote[109].start |
406.65096875 |
transcript.pyannote[109].end |
407.73096875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
407.22471875 |
transcript.pyannote[110].end |
424.80846875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
425.12909375 |
transcript.pyannote[111].end |
435.13596875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
435.32159375 |
transcript.pyannote[112].end |
437.41409375 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
437.68409375 |
transcript.pyannote[113].end |
438.34221875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
438.78096875 |
transcript.pyannote[114].end |
439.87784375 |
transcript.pyannote[115].speaker |
SPEAKER_03 |
transcript.pyannote[115].start |
440.08034375 |
transcript.pyannote[115].end |
441.43034375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
441.43034375 |
transcript.pyannote[116].end |
441.44721875 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
445.44659375 |
transcript.pyannote[117].end |
445.81784375 |
transcript.pyannote[118].speaker |
SPEAKER_03 |
transcript.pyannote[118].start |
445.81784375 |
transcript.pyannote[118].end |
446.44221875 |
transcript.whisperx[0].start |
1.13 |
transcript.whisperx[0].end |
2.111 |
transcript.whisperx[0].text |
現在我們請鍾嘉斌委員質詢 |
transcript.whisperx[1].start |
16.022 |
transcript.whisperx[1].end |
29.925 |
transcript.whisperx[1].text |
主席 在場委員先進列席的政府計劃署長 官員 會長 工作夥伴記者媒體女士先生有請內政部的董事長那另外多一點我們建築研究所的王所長能源署的吳副署長還有台電的郭總工程師 |
transcript.whisperx[2].start |
31.8 |
transcript.whisperx[2].end |
48.65 |
transcript.whisperx[2].text |
好 請各位置備訓台好 委員好好 那麼次長 各位相關主管長官我這邊呢 要問建築內充電樁法規要競速完善電動車那虛擬電廠要超前部署但在這個問題之前 我們看一下今天的題目前面問很多了 我們看第一頁 |
transcript.whisperx[3].start |
49.651 |
transcript.whisperx[3].end |
69.665 |
transcript.whisperx[3].text |
首先電動車充電充滿爭議其實就是安全顧慮跟消費糾紛目前的公寓大樓其實蓋在這幾年以前的比比皆是多數的用戶他的停車並沒有使用電動車但是看到了失火的新聞充電樁起火的新聞住戶擔心他的安全 |
transcript.whisperx[4].start |
70.509 |
transcript.whisperx[4].end |
82.595 |
transcript.whisperx[4].text |
但是要買房子的人呢他如果有電動車他希望買到的車位有充電樁那請問到目前為止次長就你綜合上五個位委員的詢問那你認為關鍵要從哪裡去解決 |
transcript.whisperx[5].start |
84.585 |
transcript.whisperx[5].end |
109.018 |
transcript.whisperx[5].text |
好 感謝委員垂詢那委員這張圖講得非常清楚其實我想最關鍵的議題還是在於就是說災害的防治的問題沒有 我認為是法規的問題法規呢 我就會告訴你本來這個預售屋的這些記名仔的事項呢當然是國土署他們在處理的但是我們看看這個第二頁公寓大樓管理條例裡面寫的設置管線 |
transcript.whisperx[6].start |
110.038 |
transcript.whisperx[6].end |
121.465 |
transcript.whisperx[6].text |
這第六條 住戶要遵守 對不對但是呢 同樣的拆除呢 也要如果官媒不同意 你現在就動彈不得在現有的建築要處理充電樁要動這個條例 市長您看呢如果你不動這個條例 你要怎麼去處理 |
transcript.whisperx[7].start |
129.678 |
transcript.whisperx[7].end |
151.733 |
transcript.whisperx[7].text |
現有的大樓啊現有的大樓原則上我們還是以那個安全為主現在將安全的相關的規範做好之後我想我們就會去輔導各個管委會進行相關輔導沒有辦法強制嘛大家不同意就不行嘛跟委員報告因為我想大家最主要是安全上有疑慮嘛所以我們剛才也包括召委也提到說資訊的充分溝通是很重要的那只是一個假設啦 |
transcript.whisperx[8].start |
152.474 |
transcript.whisperx[8].end |
161.934 |
transcript.whisperx[8].text |
好 來我想這個是法規你們要去研議第二個問題談到這個法規接下來要請台電跟我們的建築管理研究所的所長 |
transcript.whisperx[9].start |
163.001 |
transcript.whisperx[9].end |
188.508 |
transcript.whisperx[9].text |
其實我個人過去啊 從小在屏東長大只要颱風 難保不會積水 一積水 地下是灌水整個大樓 後來的大樓 它的配電是進水了台電要怎麼辦 第一 水要抽乾第二 配電是要電線都烘乾 然後才能開始進行附電只要有一棟大樓在你們的迴路當中 沒有辦法到這個程度整個迴路的用電都沒有辦法附電 是不是這樣 |
transcript.whisperx[10].start |
190.563 |
transcript.whisperx[10].end |
207.619 |
transcript.whisperx[10].text |
是委員講的對是好那現在問題來了有沒有規定新建的大樓配電是不得設於地面以下有沒有規定你們的營業規則有沒有規定這個是規定在建築你們營業規則也有寫你們要送電你要申請用電你必須配電是要在地面層以上有沒有例外 |
transcript.whisperx[11].start |
208.467 |
transcript.whisperx[11].end |
228.532 |
transcript.whisperx[11].text |
有 切解嘛是 來 所長我剛剛問了總工程師他說建築法規如果規定是強制什麼樣規格以上的建築物它的配件是必須設在地面層以上建築法規規定了 台電絕對遵辦建築法規有沒有這個規定目前確實沒有限制有規定啦原則啦你們是寫原則啦所以 |
transcript.whisperx[12].start |
232.333 |
transcript.whisperx[12].end |
253.864 |
transcript.whisperx[12].text |
社長來接下來請你了你要去督導今天不是只有電動車充電狀的問題整個未來的工業集合大樓它的供電系統它需要做整個法規的研修可不可以承諾相關的法規邀請建築研究所台電公司做一個配套的整個的翻修可以嗎可以好可以來接下來請我們來看看有沒有聽過斑斑有冷氣 |
transcript.whisperx[13].start |
255.407 |
transcript.whisperx[13].end |
282.007 |
transcript.whisperx[13].text |
有 斑斑用冷氣後面的一個潛台詞叫做校校發電廠為什麼因為斑斑用冷氣它要裝一個EMS的能源管理系統這個時候它不只能夠供應日光燈的用電可以供應冷氣的用電它能夠應付比較大的電量就像充電樁它必須應付較大的充電車電動車的容量但是學校只要有屋頂型太陽光電板這個學校就變成什麼變成一個發電廠 |
transcript.whisperx[14].start |
283.379 |
transcript.whisperx[14].end |
295.355 |
transcript.whisperx[14].text |
太陽光電板加上這個EMS那加上一個儲電設施這個學校就可以成為社區的供電中心你同意嗎是好 那往下看其實電動車一般人買的電動車行駛的時間占高還是停的時間占比例高 |
transcript.whisperx[15].start |
299.799 |
transcript.whisperx[15].end |
312.992 |
transcript.whisperx[15].text |
應該是停的時間對電動車停止的時候它就是一個什麼主電設施啦它停在建築物內部的時候它就是一個material所以呢其實我們在談未來的電動車用量會上升我們有一個什麼東西虛擬電廠往下看 |
transcript.whisperx[16].start |
317.355 |
transcript.whisperx[16].end |
330.774 |
transcript.whisperx[16].text |
所以台電也在思考V2G我們怎麼樣台電的虛擬電廠必須搭配都市裡面每個大樓都有儲能設施這個虛擬電廠就會運作了解了嗎了解了 台電是不是這樣子 |
transcript.whisperx[17].start |
333.822 |
transcript.whisperx[17].end |
352.495 |
transcript.whisperx[17].text |
是的所以我們最近在修電源法就有把這個概念放到新的電源法裡面去定如果未來我們的民眾都用電動車他停在公寓大樓裡面的停車場問題不是消極的去擔心充電窗的電容夠不夠擔心他安全能力夠不夠 |
transcript.whisperx[18].start |
353.095 |
transcript.whisperx[18].end |
367.935 |
transcript.whisperx[18].text |
重點是在於我們的這個電路系統 建築法規有沒有配套把這樣的電動車視為大樓的儲能設施配合上屋頂型光電板 虛擬電廠就可以推動了有沒有估算過它的電力供應會多大台電有沒有估算 能源有沒有估算 |
transcript.whisperx[19].start |
369.51 |
transcript.whisperx[19].end |
394.763 |
transcript.whisperx[19].text |
呃有我們其實這個計畫其實我們呃在小型的實驗計畫都有在做了是就是說這個其實就是我們說的這個叫做Aggregator的概念就是他把太陽光電加上電池的加做整個調和然後配合台電做調度所以你買了輛電動車你的電池可以在離風時候的便宜用電幫台電儲電然後在尖峰用電高電價的時候你的電動車如果沒有在行駛你把你的電力賣給電網還可以賺差價是不是這樣子 |
transcript.whisperx[20].start |
398.304 |
transcript.whisperx[20].end |
423.894 |
transcript.whisperx[20].text |
是的好 社長你覺得這個願景是不是比起我們在關心大樓裡面的充電窗會不會失火必須更前端的去部署是好 來 我們結論了好 今天時間有限請研擬完善建築內充電窗法規的方案這是目前眼前的要求其中包含了建築法規跟台電的營業規則對於大樓的配電室應設置的位置相關的容量一併檢討 可以嗎 |
transcript.whisperx[21].start |
425.154 |
transcript.whisperx[21].end |
440.878 |
transcript.whisperx[21].text |
好 我們來努力第二個 請跟能源署你們一起來 到經濟部的能源署 經濟部內政部一起電動車納虛擬電廠方案能不能提出一個報告能源署可以嗎可以那政府願意配合嗎我們可以配合好 謝謝 |