[KICT, Going 3편] AI 데이터센터의 뜨거운 폐열, 난방에 다시 쓸 수 있을까?#shorts
Published August 20, 2026
![한국건설기술연구원[KICT]](/_next/image?url=https%3A%2F%2Fyt3.ggpht.com%2Fw3XNkmM5hL_Zbc7xPbUML85V9HD8w3lPt0qm6FU7snszdwvEKNgKAGp6rtndbRsZf5bCYH_uTg%3Ds800-c-k-c0x00ffffff-no-rj&w=3840&q=75)
At a glance
Views
5,329
Likes
21
Comments
11
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
💡 구독자의 궁금증, KICT가 답합니다! 유튜브 콘텐츠 아이디어 공모전에서 선정된 질문! ‘AI 시대, 뜨거워지는 데이터센터가 버리는 열, 다시 활용할 수 있을까요’ 데이터센터에서 발생하는 폐열을 난방과 온수 등 에너지원으로 활용하는 방법을 직접 알아봤습니다. #AI데이터센터 #데이터센터 #인공지능 #AI인프라 #데이터센터폐열 #폐열재활용 #폐열에너지 #에너지재활용 #에너지효율 #데이터센터냉각 #액침냉각 #친환경기술 #탄소중립 #재생에너지 #에너지절감 #지역난방 #미래기술 #건설기술 #한국건설기술연구원 #KICT #AIDataCenter #D…
- Published
- August 20, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How [KICT, Going 3편] AI 데이터센터의 뜨거운 폐열, 난방에 다시 쓸 수 있을까?#shorts is doing
It has 5.32K views in total. It ranks #13,826,533 among tracked YouTube videos by views.
Key facts about [KICT, Going 3편] AI 데이터센터의 뜨거운 폐열, 난방에 다시 쓸 수 있을까?#shorts
- Total views
- 5.32K
- Total likes
- 21
- Total comments
- 11
- Published
- August 20, 2026
- Global rank by views
- #13,826,533
Frequently asked questions
How many views does [KICT, Going 3편] AI 데이터센터의 뜨거운 폐열, 난방에 다시 쓸 수 있을까?#shorts have?
[KICT, Going 3편] AI 데이터센터의 뜨거운 폐열, 난방에 다시 쓸 수 있을까?#shorts has 5,329 views, 21 likes and 11 comments, ranking #13,826,533 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.