隨著人類對於能源依賴的提升以及環境永續意識的抬頭，人越來越重視發展綠色能源，生質能為廣為人知的潔淨能源之一。本研究旨在創建一個ASPEN Plus模型，應用於多種生質物進料之共氣化模擬，以實驗數據相比較確認模型之可行性與泛化能力。首先，研究基於不同假設的模型模擬結果差異，發現平衡模型會高估CO2與H2的生成，而忽略焦油計算的模型則會高估CO的產生，綜合來說，使用反應動力學並且考慮氣化過程中產生之焦油的模型可準確預測實驗值。接者，針對不同類型的進料，包含:棕櫚仁殼、汙泥以及塑膠，推導了在裂解階段不同的處理方式，此新穎的處理方式證實了模型的準確度。最後根據搭建的模型進行了兩兩不同生質物進料的共氣化變數分析，其變數有:氣化爐溫度、兩進料之混摻比、CO2佔氣化介質中的比例和當量比，並探討各變數對合成氣中H2、CH4以及CO的質量流率、HHV (Higher Heating Value)、H2/CO、CCE (Carbon conversion efficiency)以及CGE (Cold gas efficiency)的影響，結果表明，H2生成量與蒸氣在氣化界質比例為正相關，CO則與進料種類以及當量比有關，多數情況下，當量比為0.2時，CO有最高值，最後，塑膠中含有大量的揮發份，因此當菇包與塑膠共氣化時，CH4的生成量會隨著塑膠在料源比例增加而增加，而高溫通常更有利於氣化反應，尤其對於焦油裂解，其溫度應高於950 ℃以上，才會有明顯的反應速率提升。

With the increasing reliance on energy and the rise of environmental sustainability awareness, there is a growing emphasis on the development of green energy, and the bioenergy is widely recognized as one of the clean energy sources. This study aims to create an ASPEN Plus model for the co-gasification simulation of various biomass feedstocks and proof the feasibility of the model with experimental data. Firstly, the study examines the differences in model simulation results based on different assumptions. It is found that equilibrium models overestimate the production of CO2 and H2 while models neglecting tar calculations overestimate CO generation. In conclusion, a model that considers kinetic reactions and tar formation during gasification accurately predicts the experimental values. Furthermore, different treatment methods during the pyrolysis stage are derived for different types of feedstocks, including palm kernel shells, sludge, and plastics. These novel treatment methods verify the generalization ability of the model. Finally, the constructed model is used to perform co-gasification variable analysis for pairwise different biomass feedstocks. The variables include gasifier temperature, blending ratio of the two feedstocks, mixing ratio of the gasifying agent, and equivalence ratio. The study investigates the effects of these variables on the mass flow rate of H2, CH4, and CO in the syngas, higher heating value (HHV), H2/CO ratio, carbon conversion efficiency (CCE), and cold gas efficiency (CGE). The results indicate that the hydrogen generation is positively correlated with the steam-to-carbon ratio in the gasification medium, while CO is influenced by the feedstock type and equivalence ratio. In most cases, CO reaches its highest value when the equivalence ratio is 0.2. Lastly, plastics contain a significant amount of volatile matter. Therefore, when co-gasifying mushrooms and plastics, the production of CH4 increases with the proportion of plastics in the feedstock. Higher temperatures are generally more favorable for gasification reactions, especially for tar cracking, where the temperature should be above 950 °C to achieve a noticeable increase in reaction rate.

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