What personal data we collect and why we collect it
Comments
When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection.
An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic.com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment.
Media
If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website.
Contact forms
Cookies
If you leave a comment on our site you may opt-in to saving your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year.
If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser.
When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for two days, and screen options cookies last for a year. If you select “Remember Me”, your login will persist for two weeks. If you log out of your account, the login cookies will be removed.
If you edit or publish an article, an additional cookie will be saved in your browser. This cookie includes no personal data and simply indicates the post ID of the article you just edited. It expires after 1 day.
Embedded content from other websites
Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.
These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.
Analytics
Who we share your data with
How long we retain your data
If you leave a comment, the comment and its metadata are retained indefinitely. This is so we can recognize and approve any follow-up comments automatically instead of holding them in a moderation queue.
For users that register on our website (if any), we also store the personal information they provide in their user profile. All users can see, edit, or delete their personal information at any time (except they cannot change their username). Website administrators can also see and edit that information.
What rights you have over your data
If you have an account on this site, or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we erase any personal data we hold about you. This does not include any data we are obliged to keep for administrative, legal, or security purposes.
Where we send your data
Visitor comments may be checked through an automated spam detection service.
Your contact information
Additional information
How we protect your data
What data breach procedures we have in place
What third parties we receive data from
What automated decision making and/or profiling we do with user data
鋁兼具輕量化、高導熱性與高度可回收等特性,在 AI 應用快速擴張下,其重要性顯著提升。特別是在 AI 數據中心領域,隨著伺服器算力密度持續提高,散熱已成為建置與營運的關鍵瓶頸。鋁材廣泛應用於液冷板、熱交換器、伺服器機殼與電源管理結構,成為 AI 基礎設施不可或缺的材料。隨著 Google、Meta、Microsoft 等科技巨頭積極擴建數據中心,同時設定嚴格的減碳目標,低碳再生鋁逐步成為供應鏈中的「標配材料」。
在消費性電子端,AI 手機與 AI 筆電帶動新一波換機潮,也加速鋁合金機殼供應鏈的綠色轉型。品牌大廠明確要求提高再生鋁使用比例,甚至導入閉環回收機制,使具備高品質回收與加工能力的供應商,在供應鏈中取得更高話語權。再生鋁不僅能大幅降低能耗與碳排,也讓產品在 ESG 評分與成本控制上具備雙重優勢。
AI 技術本身也正反向改造再生鋁產業。透過 AI 視覺辨識與自動化分選設備,回收端可更精準區分不同鋁合金系列,提高純度並降低損耗;製程端則透過 AI 模型預測能耗與合金配比,進一步提升良率。再生鋁因此不再只是低價替代品,而是逐步轉型為具技術門檻與溢價能力的材料。
從供需結構觀察,鋁市亦出現明顯轉折。中國鋁產能已接近上限,新增供給空間有限,加上氧化鋁原料供應波動推升冶煉成本,使鋁價支撐力道增強。需求端則受 AI 數據中心、新能源車與綠能建設帶動,形成長期結構性成長。當銅價高漲、碳費與能源成本上升時,「以鋁代銅」的應用趨勢也進一步放大鋁的戰略地位。