Electric heating promotes sludge composting process: Optimization of heating method through machine learning algorithms

被引:4
|
作者
Wang, Youzhao [1 ]
Ma, Feng [1 ]
Zhu, Tong [1 ]
Liu, Zheng [1 ]
Ma, Yongguang [3 ]
Li, Tengfei [1 ]
Hao, Liying [2 ]
机构
[1] Northeastern Univ, Inst Proc Equipment & Environm Engn, Sch Mech Engn & Automat, Shenyang 110819, Peoples R China
[2] China Med Univ, Sch Pharm, Dept Pharmaceut Toxicol, Shenyang 110122, Peoples R China
[3] Shenyang Univ Technol, Sch Environm & Chem Engn, Shenyang 110870, Peoples R China
关键词
Organic matter; Composting temperature; Energy consumption ratio; Least squares model; Microbial community; HUMIFICATION; TEMPERATURE;
D O I
10.1016/j.biortech.2023.129177
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Composting with electric heating has attracted extensive attention for the advantage of high treatment efficiency for sludge. However, there are challenges in investigating how electric heating affects the composting process and how to reduce its energy consumption. This study investigated the effects of different electric heating methods on composting. The highest temperature, water content reduction, organic matter reduction, and weight reduction rate in group B6 (heating in the first and second stages) were 76.00 degrees C, 16.76 %, 4.90 %, and 35.45 %, respectively, indicating that electric heating promoted water evaporation and organic matter degra-dation. In conclusion, electric heating promoted the sludge composting process and the heating method of group B6 was optimal for composting characteristics. This work contributes to the understanding of the mechanism of electric heating promoting composting process and providing theoretical support for the engineering application of composting with electric heating.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] A novel method based on extreme learning machine to predict heating and cooling load through design and structural attributes
    Kumar, Sachin
    Pal, Saibal K.
    Singh, Ram Pal
    ENERGY AND BUILDINGS, 2018, 176 : 275 - 286
  • [22] Operational Demand Forecasting In District Heating Systems Using Ensembles Of Online Machine Learning Algorithms
    Johansson, Christian
    Bergkvist, Markus
    Geysen, Davy
    De Somer, Oscar
    Lavesson, Niklas
    Vanhoudt, Dirk
    15TH INTERNATIONAL SYMPOSIUM ON DISTRICT HEATING AND COOLING (DHC15-2016), 2017, 116 : 208 - 216
  • [23] Machine learning-based modeling of heating process, case study: a greenhouse prototype
    Ghahramanizadi, Ali
    Estakhri, Ali
    Mahanipoor, Mohammadhossein Ghadimi
    Fathi, Amirhossein
    INTELLIGENT BUILDINGS INTERNATIONAL, 2024,
  • [24] Present and Future Optimization of Orthopaedic Care Through Machine Learning Algorithms
    Kaji, Elizabeth S.
    Grove, Austin F.
    Taunton, Michael J.
    JOURNAL OF ARTHROPLASTY, 2024, 39 (05): : 1171 - 1172
  • [25] Predicting Heating Load in Energy-Efficient Buildings Through Machine Learning Techniques
    Moayedi, Hossein
    Dieu Tien Bui
    Dounis, Anastasios
    Lyu, Zongjie
    Foong, Loke Kok
    APPLIED SCIENCES-BASEL, 2019, 9 (20):
  • [26] Analysis and optimization of heating process for large forgings quenching through finite elements analysis
    Curbis, F.
    Mengaroni, S.
    Cianetti, F.
    Calderini, M.
    Neri, S.
    METALLURGIA ITALIANA, 2014, (02): : 35 - 41
  • [27] Analysis and optimization of heating process for large forgings quenching through finite elements analysis
    Ottimizzazione del processo di riscaldo per tempra di grandi fucinati mediante analisi fem
    1600, Associazione Italiana di Metallurgia (106):
  • [28] Optimization of process parameters for composting of pulp/paper mill sludge with hazelnut kernel using a statistical method
    Ozgonenel, O. (okanoz@omu.edu.tr), 1600, Wroclaw University of Science and Technology (40):
  • [29] OPTIMIZATION OF PROCESS PARAMETERS FOR COMPOSTING OF PULP/PAPER MILL SLUDGE WITH HAZELNUT KERNEL USING A STATISTICAL METHOD
    Aycan, Nurdan
    Turan, Nurdan Gamze
    Ozgonenel, Okan
    ENVIRONMENT PROTECTION ENGINEERING, 2014, 40 (01): : 127 - 138
  • [30] Classification of boiling regimes, fluids, and heating surfaces through deep learning algorithms and image analysis
    Paz, Concepcion
    Cabarcos, Adrian
    Concheiro, Miguel
    Conde-Fontenla, Marcos
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2025, 242