• Title/Summary/Keyword: 온도저감

Search Result 772, Processing Time 0.018 seconds

A Study on the Method for Quantifying CO2 Contents in Decarbonated Slag Materials by Differential Thermal Gravimetric Analysis (DTG 분석법을 활용한 슬래그류 비탄산염 재료의 CO2 정량 측정방법 연구)

  • Jae-Won Choi;Byoung-Know You;Yong-Sik Chu;Min-Cheol Han
    • Journal of the Korean Recycled Construction Resources Institute
    • /
    • v.12 no.1
    • /
    • pp.8-16
    • /
    • 2024
  • Limestone (CaCO3, calcium carbonate), which is used as a raw material in the portland cement and steel industry, emits CO2 through decarbonation by high temperatures in the manufacturing process. To reduce CO2 emissions by the use of raw materials like limestone, it has been proposed to replace limestone with various industrial by-products that contain CaO but less or none of the carbonated minerals, that cause CO2 emissions. Loss of Ignition (LOI), Thermogravimetric analysis (TG), and Infrared Spectroscopy (IR) are used to quantitative the amount of CO2 emission by using these industrial by-products, but CO2 emissions can be either over or underestimated depending on the characteristics of by-product materials. In this study, we estimated CO2 contents by LOI, TG, IR and DTG(Differential Thermogravimetric analysis) of calcite(CaCO3) and samples that contain CO2 in the form of carbonate and whose weight increases by oxidation at high temperatures. The test results showed for CaCO3 samples, all test methods have a sufficient level of reliability. On the other hand, for the CO2 content of the sample whose weight increases at high temperature, LOI and TG did not properly estimate the CO2 content of the sample, and IR tended to overestimate compared to the predicted value, but the estimated result by DTG was close to the predicted valu e. From these resu lts, in the case of samples that contain less than a few percent of CO2 and whose weight increases during the temperature that carbonate minerals decompose, estimating the CO2 content using DTG is a more reasonable way than LOI, TG, and IR.

Effects of Soil Organic Matter Contents, Paddy Types and Agricultural Climatic Zone on CH4 Emissions from Rice Paddy Field (벼 논에서 토양 유기물 함량, 논 유형 및 농업기후대가 CH4 배출에 미치는 영향)

  • Ko, Jee-Yeon;Lee, Jae-Saeng;Woo, Koan-Sik;Song, Seok-Bo;Kang, Jong-Rae;Seo, Myung-Chul;Kwak, Do-Yeon;Oh, Byeong-Gun;Nam, Min-Hee
    • Korean Journal of Soil Science and Fertilizer
    • /
    • v.44 no.5
    • /
    • pp.887-894
    • /
    • 2011
  • To evaluate the effects of abiotic factors of paddy fields on greenhouse gases (GHGs) emissions from rice paddy fields, $CH_4$ emission amounts were investigated from rice paddy fields by different soil organic matter contents, paddy types, and agricultural climatic zone in Yeongnam area during 3 years. $CH_4$ emission amounts according to soil organic matter contents in paddy field were conducted at having different contents of 5 soil organic matters fields (23.6, 28.7, 31.0, 34.5, and $38.0g\;kg^{-1}$), The highest $CH_4$ emission amount was recorded in the highest soil organic matters plot of $38.0g\;kg^{-1}$. High correlation coefficient (r=$0.963^{**}$) was obtained between $CH_4$ emissions from paddy fields and their soil organic matter contents. According to paddy field types, $CH_4$ emission amounts were investigated at 4 different paddy fields as wet paddy, sandy paddy, immature paddy, and mature paddy. The highest $CH_4$ emissions was recorded in wet paddy (100%) and followed as immature paddy 64.0%, mature paddy 46.8%, and sandy paddy 23.8%, respectively. For the effects of temperature on $CH_4$ emissions from paddy fields, 4 agricultural climatic zones were investigated, which were Yeongnam inland zone (YIZ), eastern coast of central zone (ECZ), plain area of Yeongnam inland mountainous zone (PMZ), and mountainous area of Yeongnam inland mountainous zone (MMZ). The order of $CH_4$ emission amounts from paddy fields by agricultural climatic zone were YIZ (100%) > ECZ (94.6%) > PMZ (91.6%) > MMZ (78.9%). The regression equation between $CH_4$ emission amounts from paddy fields and average air temperature of Jul. to Sep. of agricultural climatic zone was y = 389.7x-4,287 (x means average temperature of Jul. to Sep. of agricultural climatic zone, $R^2=0.906^*$)