全球鋼鐵產業的生產過程中，關於二氧化碳的直接排放量佔全球7-9%，特別在煉鐵製程上為主要的碳排放來源，而二氧化碳加劇全球溫室效應的影響，因此如何有效處理高爐在煉鐵製程的碳排放為重要的議題。本研究之目標為利用高爐結合燃料電池、電解槽與二氧化碳再利用系統，達到減少碳排放且生產具經濟價值的產品。
本研究透過結合Aspen Plus與FactSage軟體模擬高爐、燃料電池、電解槽與二氧化碳再利用系統的流程，並以文獻提供之真實數據進行驗證，且採用相關電化學數學模型與模擬結果達到一致性。另外在多聯產的情境分析上，為了符合製程上最佳的操作條件，也利用敏感度與設計規格分析達到流程上的優化。
本研究在處理相同高爐排放之二氧化碳流量下，設計出兩種不同多聯產情境，並透過相關指標分析比較出較佳的多聯產設計，最後得出在S1情境下有較佳的操作效益，相較於一般高爐結合燃氣渦輪發電每產生1kW的電力時，能夠有效減少33%的二氧化碳排放並產出約300公斤/每噸鐵水的甲醇，且達到能量自我供應平衡與能量轉換效率為30.9%，證明以S1情境的多聯產設計具備優異的產品效益且能夠減少高爐的碳排放。

The iron and steel industry discharges 7-9% of the world’s CO2 emissions. Especially, the ironmaking process accounts for 85% CO2 emissions under the traditional iron and steel process. Then, this situation aggravates CO2 emissions and causes greenhouse effect. This is an important issue that effectively deals with CO2 reduction for ironmaking in blast furnace.

Therefore, the target of this study is to use fuel cell, electrolyzer, carbon capture and utilization systems (CCU) with blast furnace, which can reduce CO2 emissions and produce economic products. Meanwhile, we simulate the process of blast furnace, fuel cell, electrolyzer, and CCU systems by Aspen Plus and FactSage, which validates the simulation result by reference plant data.

Two different polygeneration scenarios under the same CO2 input from blast furnace are designed to compare the best one by CO2 emissions and index. In conclusion, it is indicated that the scenario 1 has the most efficient solution to reduce 33% CO2 emissions per kW provided, the methanol production rate is about 300 kg/tHM and energy conversion efficiency is about 30.9%. Through this kind of polygeneration, blast furnace not only can reduce the CO2 emissions but also can bring out the product benefits compared to direct CO2 emissions.

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