公司名稱	成功大學/跨維綠能材料研究中心/林士剛教授團隊
Company Name	Hierarchical Green-Energy Materials Research Center, National Cheng Kung University
參展區域 Area	淨零新創主題館
網址 Website	http://higem.ncku.edu.tw	攤位號碼 Booth No.	S1405a
公司簡介
Company Introduction
產品介紹	為達成2050淨零碳排，我國高爐鋼鐵業預計使用氫氣取代焦炭作為還原劑和燃料。為了預測高爐吹氫帶來的反應行為改變，本技術建立「高爐熱力學計算軟體」搭配「可視化還原動力學模型」，前者依據高爐監測獲得之數據(如：燃料率、鼓風成份、鼓風溫度等)，預測高爐爐內化學反應；後者則結合計算流體方法，模擬鐵礦進行質量傳輸、化學反應、擴散、熱傳導之動力學現象。 本技術利用數位孿生概念，整合智能高爐監測系統及先進模擬進行低成本、高精準之可視化解析，透過熱、動力學以及大數據智能監測，實時計算不同氫氣噴吹操作下高爐內的複雜化學反應，提供第一線人員參考。本技術可加速我國「富氫高爐」基礎發展，目標2025年減低煉鐵製程碳排放達155萬噸。
Product Summary	To reach the target of carbon neutrality in 2050, iron-making industry of Taiwan will inject Hydrogen into the blast furnace to replace coke. To predict the influence of Hydrogen on the blast furnace, “Hydrogen-rich Blast Furnace Digital Twin System “is developed. This technology combines the "Blast Furnace Thermodynamic Calculation Software" with the "Visualized Reduction Kinetics Model." The former utilizes real-time data obtained from blast furnace monitoring to predict the chemical reactions occurring inside the furnace. The latter simulate the kinetic transport phenomena of mass transfer, chemical reactions, diffusion, heat conduction during iron ore reduction. It accurately models the reaction behavior of iron ore within the hydrogen-rich blast furnace. Our technology uses digital twins advanced simulations to achieve accurate visualized analysis of hydrogen-rich blast furnaces. By incorporating thermodynamic kinetic theories monitoring big data, we calculate complex chemical reactions in real-time. This provides operational guidance for frontline personnel helps reduce carbon emissions by 1.55 million tons in the ironmaking process by 2025.