文献
J-GLOBAL ID:201702242570444371
整理番号:17A0410321
下水スラッジの共燃焼特性の研究と人工神経回路網と結合した熱重量分析モデルを用いたコーヒーカス混合物【Powered by NICT】
Investigation of co-combustion characteristics of sewage sludge and coffee grounds mixtures using thermogravimetric analysis coupled to artificial neural networks modeling
著者 (10件):
Chen Jiacong
(School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China)
,
Liu Jingyong
(School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China)
,
He Yao
(School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China)
,
Huang Limao
(School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China)
,
Sun Shuiyu
(School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China)
,
Sun Jian
(School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China)
,
Chang KenLin
(School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China)
,
Kuo Jiahong
(School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China)
,
Huang Shaosong
(School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China)
,
Ning Xunan
(School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China)
資料名:
Bioresource Technology
(Bioresource Technology)
巻:
225
ページ:
234-245
発行年:
2017年
JST資料番号:
A0390B
ISSN:
0960-8524
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)