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author:

Yu, Jie (Yu, Jie.) [1] | Lin, Xiaoyu (Lin, Xiaoyu.) [2] | Huang, Jingchen (Huang, Jingchen.) [3] | Ye, Wangfang (Ye, Wangfang.) [4] | Lan, Qian (Lan, Qian.) [5] | Du, Shaorong (Du, Shaorong.) [6] | Liu, Zilin (Liu, Zilin.) [7] | Wu, Yijing (Wu, Yijing.) [8] | Zhao, Zeyuan (Zhao, Zeyuan.) [9] | Xu, Xin (Xu, Xin.) [10] | Yang, Guifang (Yang, Guifang.) [11] | Changotra, Rahil (Changotra, Rahil.) [12] | Hu, Yulin (Hu, Yulin.) [13] | Wu, Yulong (Wu, Yulong.) [14] | Yan, Chenyu (Yan, Chenyu.) [15] | Yang, Jie (Yang, Jie.) [16] | He, Quan (Sophia) (He, Quan (Sophia).) [17]

Indexed by:

EI Scopus SCIE

Abstract:

This review provides an overview of recent advances in hydrothermal liquefaction (HTL) biocrude production processes using plastics as feedstock, seawater as the processing medium, and microwave irradiation as a process intensification method. Additionally, the review examines the application of aid-in investigation tools such as kinetics, machine learning, and feasibility analysis to HTL research. All these aspects have been underexplored in review literature compared to process optimization, biocrude upgrading, continuous HTL, and aqueous phase reutilization. The potential of HTL as an effective method for the depolymerization of plastics is initially evaluated. The ease of plastic depolymerization follows the order of polycarbonate (300 degrees C) > polystyrene (350 degrees C) > polyethylene = polypropylene (420 degrees C) > polyethylene terephthalate (>450 degrees C). Both synergism and antagonism are observed for co-HTL of plastics with biomass, ranging from-48.3% to 79.2%. Using seawater as an alternative HTL processing medium shows promising potential, while the effect of sea salts on biocrude yield/ quality is still controversial especially when carbohydrate-rich feedstocks are utilized, necessitating more comprehensive examination. Microwave irradiation has been shown to increase biocrude yield from lipid, produce comparable yields from protein and lignin, and decrease yield from carbohydrate compared to conventional heating. As for the aid-in investigation tools, limited efforts have been made to apply kinetic modeling to the HTL of plastics, which could be particularly useful when synergism or antagonism is observed during coHTL of plastics and biomass. Machine learning-enabled predictions of product yield and quality have been found to be more accurate than traditional mathematical models. Future research could focus on using machine learning algorithms to elucidate product formation mechanisms. The techno-economic and life cycle assessment reveal that the commercialization of HTL technology remains a distant prospect, further improvements in product yield, quality, and process energy efficiency are essential. Overall, this review offers augmented insights into HTL technology and facilitates the identification of novel opportunities, which is of value to promote the biocrude production.

Keyword:

Biocrude production Machine learning algorithms Microwave effect Plastic depolymerization Seawater

Community:

  • [ 1 ] [Yu, Jie]Fuzhou Univ, Mech & Elect Engn Practice Ctr, Fuzhou 350108, Peoples R China
  • [ 2 ] [Yu, Jie]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 3 ] [Lin, Xiaoyu]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 4 ] [Huang, Jingchen]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 5 ] [Ye, Wangfang]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 6 ] [Du, Shaorong]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 7 ] [Liu, Zilin]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 8 ] [Wu, Yijing]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 9 ] [Zhao, Zeyuan]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 10 ] [Xu, Xin]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 11 ] [Yang, Guifang]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 12 ] [Yang, Jie]Minjiang Univ, Inst Oceanog, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
  • [ 13 ] [Lin, Xiaoyu]Dalhousie Univ, Fac Agr, Dept Engn, Truro, NS, Canada
  • [ 14 ] [Lan, Qian]Dalhousie Univ, Fac Agr, Dept Engn, Truro, NS, Canada
  • [ 15 ] [Changotra, Rahil]Dalhousie Univ, Fac Agr, Dept Engn, Truro, NS, Canada
  • [ 16 ] [He, Quan (Sophia)]Dalhousie Univ, Fac Agr, Dept Engn, Truro, NS, Canada
  • [ 17 ] [Wu, Yijing]Minjiang Univ, Fujian Key Lab Conservat & Sustainable Utilizat M, Fuzhou 350108, Peoples R China
  • [ 18 ] [Zhao, Zeyuan]Minjiang Univ, Fujian Key Lab Conservat & Sustainable Utilizat M, Fuzhou 350108, Peoples R China
  • [ 19 ] [Xu, Xin]Minjiang Univ, Fujian Key Lab Conservat & Sustainable Utilizat M, Fuzhou 350108, Peoples R China
  • [ 20 ] [Yang, Jie]Minjiang Univ, Fujian Key Lab Conservat & Sustainable Utilizat M, Fuzhou 350108, Peoples R China
  • [ 21 ] [Hu, Yulin]Univ Prince Edward Isl, Fac Sustainable Design Engn, Charlottetown, PE C1A 4P3, Canada
  • [ 22 ] [Wu, Yulong]Tsinghua Univ, Inst Nucl & New Energy Technol, Beijing 100084, Peoples R China
  • [ 23 ] [Yan, Chenyu]Chinese Acad Sci, Suzhou Inst Biomed Engn & Technol, Suzhou 215163, Peoples R China

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Source :

RENEWABLE ENERGY

ISSN: 0960-1481

Year: 2023

Volume: 218

9 . 0

JCR@2023

9 . 0 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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