• 沒有找到結果。

A Study on the Torrefaction and Gasification of Biomass 宋炳宏、吳照雄

N/A
N/A
Protected

Academic year: 2022

Share "A Study on the Torrefaction and Gasification of Biomass 宋炳宏、吳照雄"

Copied!
2
0
0

加載中.... (立即查看全文)

全文

(1)

A Study on the Torrefaction and Gasification of Biomass 宋炳宏、吳照雄

E-mail: 364856@mail.dyu.edu.tw

ABSTRACT

Due to the issue of disposal of normal waste and huge agricultural waste, development of resource reuse technology has drawn much attention, in corresponding to the retirement schedule of domestic incinerators. Of which, application of low temperature

decomposition (known as torrefaction) with biomass material to production of solid alternative fuel is an important method of reuse.

There is large amount of biomass fiber and agricultural waste existing in trash, such as straw and wooden chips, they are good source of fiber. This study employed Thermo-gravimetric Analyzer (TGA) and lab-scale decomposition system to investigate torrefaction of wooden chips, straw, and biomass fiber under differential conditions. Research findings show that wooden chips, straw, and biomass fiber have better torrefaction at temperature and time at 290℃ and 40min, 260℃ and 30min, 280℃ and 40 min respectively.

Percentage of solid, liquid and gas products generated by torrefaction process are: wooden chips have 48.43%, 30.84%, and 19.72%;

straw has 51.48%, 22.87%, and 25.56%; biomass fiber has 67.56%, 17.82%, and 14.62%, respectively. The biochar produced during torrefaction could not only be added to coal for co-burning, it also underwent gasification experiment under conditions 700℃

and 850℃ of temperature, 2% and 10% of oxygen content, and 0, 30, and 60 min of duration in this study, in order to investigate the effect of reaction of biomass materials with and without being treated by the experiment of torrefaction gasification. Conditions of gasification were determined based on volatility of organics and heat generated from gas. Gasification temperature 700℃

effectively gasified the organics in the biomass but failed to gasify the biomass after torrefaction, thus the best gasification

temperature was 850℃. Oxygen content was 10L which was determined based on heat value of gas. Heat value of three biomass materials generated from gasification ranked as straw > wooden chips > biomass fiber.

Keywords : biomass、torrefaction、low temperature decomposition、biochar、heat value、gafication Table of Contents

封面內頁 簽名頁 中文摘要 iii 誌謝 iv 目錄 v 圖目錄 ix 表目錄 x 符號說明 xiii 第一章 緒論 1 1.1研究動機 1 1.2研究目的 3 1.3 研究內容與流程 3 第二章 文獻回顧與基本理論 5 2.1基本性質及定義 5 2.1.1生質能 5 2.1.2生質物之細胞結構 7 2.1.3焙燒技 術 8 2.1.4氣化 8 2.2焙燒相關文獻 11 2.3氣化相關文獻 13 第三章 實驗設備與分析方法 15 3.1樣品物化性質分析 15 3.1.1三成 分分析 15 3.1.2固定碳分析 17 3.1.3元素分析 19 3.1.4熱值分析 20 3.1.5熱重質譜分析 23 3.1.6熱重量分析 24 3.2焙燒實驗 28 3.3氣化實驗 33 3.4產物分析 35 3.4.1固體產物 36 3.4.2液體產物 38 3.4.3氣體產物 40 第四章 結果與討論 42 4.1樣品物化性質 分析結果 42 4.1.1三成分 42 4.1.2元素分析與熱值 43 4.1.3熱重量分析 43 4.1.4熱重質譜分析 46 4.2焙燒最佳條件 50 4.2.1焙燒 實驗 50 4.2.2最佳焙燒條件 54 4.3氣化結果 56 4.3.1溫度與時間對氣化的影響 56 4.3.2含氧量對氣化的影響 59 4.3.3焙燒對氣 化的影響 60 4.4固體產物分析 62 4.4.1熱值分析 62 4. 4.2元素分析 63 4.5液體產物分析 65 4. 5.1焙燒產物液體分析結果 65 4.5.2氣化液體分析 67 4.6氣體產物分析結果 71 4.6.1焙燒氣體分析結果 71 4.6.2氣化氣體分析結果 74 4.6.3氣體熱值分析結果 79 第五章 結論與建議 81 5.1結論 81 5.2建議 83 參考文獻 84 附錄A氣化相關表格 86 附錄B氣體熱值資料來源 94

REFERENCES

1.行政院環境保護署 ( http://www.epa.gov.tw/) 。 2.行政院農業委員會( http://www.coa.gov.tw/show_index.php?screen_size=2)。 3.行政院 農業委員會,九十九年農業統計年報 (2010)。 4.再生能源網 ( http://www.re.org.tw/prore/introduction.aspx?SEQNO=11)。 5.碳氫化合物 的燃燒計算研究( http://homepages.gac.edu/~anienow/CHE-371a/Example%201.pdf)。 6.國際能源機構,2004年年報 (2004)。 7.癮科學:替 代能源-生質能( http://chinese.engadget.com/2008/11/21/bioenergy/)。 8.翁文爐譯著,化工基本原理與計算(質能均衡),高立圖書有限公 司(2008)。 9.吳照雄,生質物料快速真空裂解技術基礎研究第一年,國科會期末報告 (2011)。 10.孫逸民,陳玉舜,趙敏勳,謝明學,劉 興鑑,儀器分析,權威圖書有限公司(2000)。 11.陳思潔,溫度、壓力對農業廢棄物熱裂解的影響,大葉大學環境工程學系碩士班論文 (2010) 。 12.張嘉佩,觸控面板熱裂解回燒油品之可行性研究,大葉大學環境工程學系碩士班論文 (2011) 。 13.黃昶潤,稻草熱裂解技術 之探討,大葉大學環境工程學系碩士論文 (2005) 。 14.張慶源,生質物低溫裂解處理技術先導設施建置計畫,行政院環保署期末報告 (2011) 。 15.陳偉、羅永浩、陸方、段佳,生質廢棄物的熱解研究,燃料化學學報,第三十五卷,第三期, P.370-374 (2007)。 16.趙穎、

劉建國、岳東北、李水清、聶永豐,溫度對生活垃圾可然組分連續熱解影響,中國環境科學,第二十八卷,第一期,P.53-57 (2008) 。 17.Chen, Y.G., S. Charpenay, A. Jensen, M.A. Wojtowicz, M.A. Serio, “Modeling of biomass pyrolysis kinetics,” Twenty-Seventh Symposium

(2)

(International) on Combustion, 1327–1334 (1998). 18.Ntshengedzeni, S. Mamphweli, L. Meyer, “Implementation of the biomass gasification project for community empowermentat Melani village, Eastern Cape, South Africa.” Renewable Energy, 34, 2923–2927 (2009). 19.Orfao, J.J.M., F.J.A. Antunes, J.L. Figueiredo, “Pyrolysis kinetics of lignocellulosic materials-three independent reactions model,” Fuel, 78, 349-358 (1999). 20.Osvalda S., ” Kinetics of pyrolysis, combustion and gasification of three biomass fuels,” Fuel Processing Technology, 88, 87–97 (2007). 21.Rade, K. Vladan, K. ‘‘Energy and exergy analysis of biomass gasification at different temperatures,’’ Energy, 35, 537-549 (2010).

22.Vuthaluru, H.B. “Thermal behaviour of coal biomass blends during co-pyrolysis,” Fuel Processing Technology, 85, 141– 155 (2003).

23.Zanzi, R., K. Sjostrom, E. Bjornbom, ‘‘Rapid pyrolysis of agricultural residues at high temperature,’’ Biomass and Bioenergy, 23, 357-366 (2002).

參考文獻

相關文件

The ontology induction and knowledge graph construction enable systems to automatically acquire open domain knowledge. The MF technique for SLU modeling provides a principle model

substance) is matter that has distinct properties and a composition that does not vary from sample

• To enhance teachers’ knowledge and understanding about the learning and teaching of grammar in context through the use of various e-learning resources in the primary

Teachers may encourage students to approach the poem as an unseen text to practise the steps of analysis and annotation, instead of relying on secondary

vs Functional grammar (i.e. organising grammar items according to the communicative functions) at the discourse level2. “…a bridge between

- Informants: Principal, Vice-principals, curriculum leaders, English teachers, content subject teachers, students, parents.. - 12 cases could be categorised into 3 types, based

Wang, Solving pseudomonotone variational inequalities and pseudocon- vex optimization problems using the projection neural network, IEEE Transactions on Neural Networks 17

mathematical statistics, statistical methods, regression, survival data analysis, categorical data analysis, multivariate statistical methods, experimental design.