AIDC whitepaper projects AI data centers could use 611–877 TWh a year by 2030
RECCESSARY, InfoLink Consulting and TÜV Rheinland released an AIDC energy whitepaper at 2026 Taiwan International Smart Energy Week, projecting that data centers driven by AI chips could consume 611 to 877 TWh of electricity a year by 2030, with a baseline estimate of about 746 TWh. Model calculations in the whitepaper put grid connection at up to 5 years and 3 months from review to energization when a site must wait for upstream substation expansion, versus about 3 years and 3 months where no such expansion is needed. The report lays out eight energy design directions including self-generation, renewables, facility-level storage, UPS/BBU, microgrid control and compute-power scheduling, while TÜV Rheinland noted GPU cluster load can jump from 10% to 100% within hundreds of milliseconds, stressing converters and power systems and requiring stronger battery and fire-safety verification.
The whitepaper frames grid connection timelines, storage safety and power scheduling as key constraints on AI data center expansion, backing them with quantified demand and interconnection estimates.
隨著 AI 資料中心（AIDC）快速擴張，電力供應與能源管理成為產業發展重要課題。新能源與碳市場資訊平台 RECCESSARY 攜手 InfoLink Consulting 及德國萊因（TÜV Rheinland），於 2026 台灣國際智慧能源週發布 AIDC 能源白皮書，預估 2030 年全球 AI 晶片帶動的資料中心年用電量將達 611 至 877 TWh，電網接入、自主供電及儲能安全將成為未來發展關鍵。
根據白皮書推估，2030 年全球 AI 晶片帶動的資料中心年用電量，基準情境約為 746 TWh。隨著資料中心用電密度提高，業者除了確保電力供應，也須考量接電時程、備援系統及長期營運成本。
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