Effects of aeration strategies on the composting process: Part II. Numerical modeling and simulation

被引:0
作者
Ekinci, K
Keener, HM
Elwell, DL
Michel, FC
机构
[1] Ohio State Univ, Ohio Agr Res & Dev Ctr, Dept Food Agr & Biol Engn, Wooster, OH 44691 USA
[2] Suleyman Demirel Univ, Dept Agr Machinery, Cunur Isparta, Turkey
来源
TRANSACTIONS OF THE ASAE | 2005年 / 48卷 / 03期
关键词
aeration strategies; broiler litter composting; numerical modeling; paper mill sludge; simulation;
D O I
暂无
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
A two-dimensional finite difference numerical model of composting was developed based on a two-component first-order kinetic model and heat and mass balance equations. Data for validation of the numerical model used results from four different pilot-scale composting systems built to investigate these aeration strategies. Results of temperature profiles for the simulations showed strong correlation with experimental data for layers 2, 3, and 4 (inner layers) in the system but indicated a need to strengthen the model's simulation of boundary condition effects (layers I and 5). Based on the simulations, one-directional airflow yielded the highest temperature gradients during composting, whereas air recirculation and air recirculation with reversed-direction airflow had the smallest temperature gradients. Model prediction of moisture content was highly accurate for the middle layers since they were less affected by boundary condition effects. Other layers were affected by boundary conditions and the physical phenomenon occurring in the headspace of the reactor Reversing the direction of airflow with and without air recirculation reduced moisture gradients. Moisture retention was increased with reversed-direction airflow. As a result of gradients in the process variables, decomposition gradients existed. The decomposition gradients were highly variable in the experimental studies and were not highly correlated with the simulation results.
引用
收藏
页码:1203 / 1215
页数:13
相关论文
共 50 条
[21]   Modeling and Simulation of Milling Force in Virtual Numerical Control Milling Process [J].
Sui, X. L. ;
Zhang, J. T. ;
Ge, J. H. ;
Wan, Y. P. ;
Yuan, H. .
MANUFACTURING AUTOMATION TECHNOLOGY, 2009, 392-394 :697-+
[22]   Modeling and numerical simulation of the chip formation process when machining Nomex [J].
Tarik Zarrouk ;
Jamal-Eddine Salhi ;
Samir Atlati ;
Mohammed Nouari ;
Merzouki Salhi ;
Najim Salhi .
Environmental Science and Pollution Research, 2022, 29 :98-105
[23]   A thermoelectric power generating heat exchanger: Part II - Numerical modeling and optimization [J].
Sarhadi, Ali ;
Bjork, Rasmus ;
Lindeburg, Niels ;
Viereck, Peter ;
Pryds, Nini .
ENERGY CONVERSION AND MANAGEMENT, 2016, 119 :481-487
[24]   Stability assessment of the Three-Gorges Dam foundation, China, using physical and numerical modeling - Part II: numerical modeling [J].
Liu, J ;
Feng, XT ;
Ding, XL .
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2003, 40 (05) :633-652
[25]   Numerical Simulation of the Eddy Current Effects on the Arc Splitting Process [J].
杨飞 ;
荣命哲 ;
吴翊 ;
孙昊 ;
马瑞光 ;
纽春萍 .
Plasma Science and Technology, 2012, (11) :974-979
[26]   Numerical Simulation of the Eddy Current Effects on the Arc Splitting Process [J].
Yang Fei ;
Rong Mingzhe ;
Wu Yi ;
Sun Hao ;
Ma Ruiguang ;
Niu Chunping .
PLASMA SCIENCE & TECHNOLOGY, 2012, 14 (11) :974-979
[27]   Theoretical modeling of bonding characteristics and performance of wood composites. Part II. Resin distribution [J].
Dai, Chunping ;
Yu, Changming ;
Groves, Kevin ;
Lohrasebi, Hossein .
WOOD AND FIBER SCIENCE, 2007, 39 (01) :56-70
[28]   Numerical investigation of bend and torus flows - Part II: Flow simulation in torus reactor [J].
Pruvost, J ;
Legrand, J ;
Legentilhomme, P ;
Rosant, JM .
CHEMICAL ENGINEERING SCIENCE, 2004, 59 (16) :3359-3370
[29]   Numerical Simulation of Diffusion Behavior of Water Ingress Into HTV Silicone Rubber (Part I): Numerical Modeling and Calculation [J].
Zuo Z. ;
Zhou Y. ;
Liang X. ;
Luo B. ;
Wang T. ;
Liu S. ;
Wang Q. ;
Liu S. .
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2024, 44 (01) :341-352
[30]   Modeling and numerical simulation of multiflux die in the multilayer co-extrusion process [J].
Jun Ho Mun ;
Ju Hyeon Kim ;
Sang Ho Mun ;
See Jo Kim .
Korea-Australia Rheology Journal, 2017, 29 :51-57