用香蕉皮铜包覆活性炭改善催化转化器的活性

Abdul Hamid, Misbakhul Fatah, Wahyu Budi Utomo, I. Febriana, Zeni Rahmawati, Annafiyah Annafiyah, Aurista Miftahatul Ilmah
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引用次数: 0

摘要

汽车尾气排放的氮氧化物(NOx)、一氧化氮(NO)和一氧化碳(CO)对环境和人体健康产生不利影响。因此,迫切需要减少这种排放。通过使用催化转化器可以达到减少排放的目的。本研究说明了活性炭制备的催化转化器通过其吸附能力来提高活性的应用。以香蕉皮为原料,在400℃下加热1.5小时,用氢氧化钠(NaOH)活化得到活性炭。采用N2吸附-解吸、x射线衍射(XRD)、扫描电镜-电子色散x射线(SEM-EDX)和傅里叶变换红外(FTIR)等技术对活性炭的性能进行了表征。然后将形成的活性炭涂上一层铜。在不同催化剂层数(1层(C1)、2层(C2)和3层(C3))的情况下,采用活性炭包覆铜的催化转化器在柴油发动机洋马TF 70 LY-DI上进行了性能测试。具有三层(C3)催化剂的样品表现出最高的活性,降低排放浓度的百分比效率为48.76%;NOx、NO和CO分别为31.27%和29.35%。
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An Improvement of Catalytic Converter Activity Using Copper Coated Activated Carbon Derived from Banana Peel
The emission of nitrogen oxide (NOx), nitrogen monoxide (NO) and carbon monoxide (CO) from vehicle exhaust gas generates an adverse effect to the environment as well as the human health. Therefore, the need to reduce such emission is urgent. The decrease of the emission can be achieved through the use of catalytic converter. This study explains the application of catalytic converter prepared from activated carbon to enhance the activity through its adsorption ability. The activated carbon was derived from banana peels after heating them up at 400 ºC for 1.5 hours and activation using natrium hydroxide (NaOH). Several techniques including N2 adsorption-desorption, X-Ray Diffraction (XRD), Scanning Electron Microscopy-Electron Dispersive X-ray (SEM-EDX), and Fourier Transform Infrared (FTIR) were adopted to characterize the activated carbon properties. The activated carbon formed was then coated with copper. The activity of the catalytic converter using activated carbon coated with copper was then tested for its performance on diesel engine Yanmar TF 70 LY-DI with variations in the number of catalyst layers, namely 1 layer (C1), 2 layers (C2) and 3 layers (C3). Sample with three layers (C3) of catalyst exhibited the highest activity with the percentage efficiency in reducing emissions concentration of 48.76 %; 31.27 % and 29.35 % for NOx, NO and CO, respectively.
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来源期刊
CiteScore
4.50
自引率
16.00%
发文量
83
审稿时长
8 weeks
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