Employing response surface methodology (RSM) to improve methane production from cotton stalk

被引:18
作者
Zhang, Han [1 ,2 ]
Khalid, Habiba [1 ]
Li, Wanwu [2 ]
He, Yanfeng [1 ]
Liu, Guangqing [1 ]
Chen, Chang [1 ]
机构
[1] Beijing Univ Chem Technol, Biomass Energy & Environm Engn Res Ctr, Coll Chem Engn, 505 Zonghe Bldg A,15 North 3rd Ring East Rd, Beijing 100029, Peoples R China
[2] Beijing Univ Chem Technol, Coll Life Sci & Technol, Beijing 100029, Peoples R China
关键词
Cotton stalk; Anaerobic digestion; Response surface methodology; VS removal; Methane production; ANAEROBIC-DIGESTION; BIOGAS PRODUCTION; OPTIMIZATION; PRETREATMENT; PARAMETERS; STRAW;
D O I
10.1007/s11356-017-0682-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China is the largest cotton producer with the cotton output accounting for 25% of the total world's cotton production. A large quantity of cotton stalk (CS) waste is generated which is burned and causes environmental and ecological problems. This study investigated the anaerobic digestibility of CS by focusing on improving the methane yield by applying central composite design of response surface methodology (RSM). The purpose of this study was to determine the best level of factors to optimize the desired output of methane production from CS. Thus, it was necessary to describe the relationship of many individual variables with one or more response values for the effective utilization of CS. The influences of feed to inoculum (F/I) ratio and organic loading (OL) on methane production were investigated. Results showed that the experimental methane yield (EMY) and volatile solid (VS) removal were calculated to be 70.22 mL/gVS and 14.33% at F/I ratio of 0.79 and organic loading of 25.61 gVS/L, respectively. Characteristics of final effluent showed that the anaerobic system was stable. This research laid a foundation for future application of CS to alleviate the problems of waste pollution and energy output.
引用
收藏
页码:7618 / 7624
页数:7
相关论文
共 22 条
[1]   Optimization of operating parameters of novel composite adsorbent for organic pollutants removal from POME using response surface methodology [J].
Adeleke, A. O. ;
Ab Latiff, Ab Aziz ;
Al-Gheethi, A. A. ;
Daud, Zawawi .
CHEMOSPHERE, 2017, 174 :232-242
[2]   Technical assessment of bioenergy recovery from cotton stalks through anaerobic digestion process and the effects of inexpensive pre-treatments [J].
Adl, Mehrdad ;
Sheng, Kuichuan ;
Gharibi, Arash .
APPLIED ENERGY, 2012, 93 :251-260
[3]  
American Public Health Association (APHA), 1992, STANDARD METHODS EXA
[4]   Reviewing the anaerobic digestion and co-digestion process of food waste from the perspectives on biogas production performance and environmental impacts [J].
Chiu, Sam L. H. ;
Lo, Irene M. C. .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 23 (24) :24435-24450
[5]   Optimization of combined (acid plus thermal) pretreatment for enhanced dark fermentative H2 production from Chlorella vulgaris using response surface methodology [J].
Choi, Jae-Min ;
Han, Sun-Kee ;
Kim, Ji-Tae ;
Lee, Chae-Young .
INTERNATIONAL BIODETERIORATION & BIODEGRADATION, 2016, 108 :191-197
[6]   Enhanced methane production of vinegar residue by response surface methodology (RSM) [J].
Feng, Jiayu ;
Zhang, Jiyu ;
Zhang, Jiafu ;
He, Yanfeng ;
Zhang, Ruihong ;
Chen, Chang ;
Liu, Guangqing .
AMB EXPRESS, 2017, 7
[7]   Biogas production potential from cotton wastes [J].
Isci, A. ;
Demirer, G. N. .
RENEWABLE ENERGY, 2007, 32 (05) :750-757
[8]   Effect of chemo-mechanical disintegration on sludge anaerobic digestion for enhanced biogas production [J].
Kavitha, S. ;
Pray, S. Saji ;
Yogalakshmi, K. N. ;
Kumar, S. Adish ;
Yeom, Ick-Tae ;
Banu, J. Rajesh .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 23 (03) :2402-2414
[9]   Processing factors of triadimefon and triadimenol in barley brewing based on response surface methodology [J].
Kong, Zhiqiang ;
Li, Minmin ;
Chen, Jieying ;
Bao, Yuming ;
Fan, Bei ;
Francis, Frederic ;
Dai, Xiaofeng .
FOOD CONTROL, 2016, 64 :81-86
[10]   Degradation of venlafaxine using TiO2/UV process: Kinetic studies, RSM optimization, identification of transformation products and toxicity evaluation [J].
Lambropoulou, D. ;
Evgenidou, E. ;
Saliverou, V. ;
Kosma, C. ;
Konstantinou, I. .
JOURNAL OF HAZARDOUS MATERIALS, 2017, 323 :513-526