Multi-stage hydrothermal liquefaction modeling of sludge and microalgae biomass to increase bio-oil yield

Bhawna Bisht; Prateek Gururani; Shivam Pandey; Krishna Kumar Jaiswal; Sanjay Kumar; Mikhail S. Vlaskin; Monu Verma; Hyunook Kim; Vinod Kumar

doi:10.1016/j.fuel.2022.125253

Multi-stage hydrothermal liquefaction modeling of sludge and microalgae biomass to increase bio-oil yield

Bhawna Bisht, Prateek Gururani, Shivam Pandey, Krishna Kumar Jaiswal, Sanjay Kumar, Mikhail S. Vlaskin, Monu Verma, Hyunook Kim, Vinod Kumar

School of Environmental Engineering

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

This study aims to elucidate the effect of Multi-Stage HTL with a constant resident time of 30 min for three different feedstocks including kitchen wastewater sludge (KwWs), freshwater microalgae Chlorella sorokiniana (UUIND6), Co-HTL (KwWs + UUIND6) to obtain the maximum bio-oil yield. According to the results obtained, KwWs appears to be the most suitable for conversion into energy-dense bio-oil under a sustainable biorefinery approach for increased bio-oil yields i.e., 72.75 ± 0.37 wt%, with HHV of 40.52 MJ/kg and energy recovery of 53.64 wt%. Further, the bio-oils and bio-chars derived from different types of biomasses obtained at different temperature conditions were analyzed by GC–MS, NMR, FTIR, and Raman spectroscopy to identify variations in the bio-crude compounds.

Original language	English
Article number	125253
Journal	Fuel
Volume	328
DOIs	https://doi.org/10.1016/j.fuel.2022.125253
State	Published - 15 Nov 2022

Keywords

Chlorella sorokiniana
Co-HTL
Hydrothermal liquefaction
Microalgae
Sludge

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10.1016/j.fuel.2022.125253

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@article{b57df073b5e640bc8953f4ecca2243da,

title = "Multi-stage hydrothermal liquefaction modeling of sludge and microalgae biomass to increase bio-oil yield",

abstract = "This study aims to elucidate the effect of Multi-Stage HTL with a constant resident time of 30 min for three different feedstocks including kitchen wastewater sludge (KwWs), freshwater microalgae Chlorella sorokiniana (UUIND6), Co-HTL (KwWs + UUIND6) to obtain the maximum bio-oil yield. According to the results obtained, KwWs appears to be the most suitable for conversion into energy-dense bio-oil under a sustainable biorefinery approach for increased bio-oil yields i.e., 72.75 ± 0.37 wt%, with HHV of 40.52 MJ/kg and energy recovery of 53.64 wt%. Further, the bio-oils and bio-chars derived from different types of biomasses obtained at different temperature conditions were analyzed by GC–MS, NMR, FTIR, and Raman spectroscopy to identify variations in the bio-crude compounds.",

keywords = "Chlorella sorokiniana, Co-HTL, Hydrothermal liquefaction, Microalgae, Sludge",

author = "Bhawna Bisht and Prateek Gururani and Shivam Pandey and {Kumar Jaiswal}, Krishna and Sanjay Kumar and Vlaskin, {Mikhail S.} and Monu Verma and Hyunook Kim and Vinod Kumar",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

year = "2022",

month = nov,

day = "15",

doi = "10.1016/j.fuel.2022.125253",

language = "English",

volume = "328",

journal = "Fuel",

issn = "0016-2361",

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TY - JOUR

T1 - Multi-stage hydrothermal liquefaction modeling of sludge and microalgae biomass to increase bio-oil yield

AU - Bisht, Bhawna

AU - Gururani, Prateek

AU - Pandey, Shivam

AU - Kumar Jaiswal, Krishna

AU - Kumar, Sanjay

AU - Vlaskin, Mikhail S.

AU - Verma, Monu

AU - Kim, Hyunook

AU - Kumar, Vinod

PY - 2022/11/15

Y1 - 2022/11/15

N2 - This study aims to elucidate the effect of Multi-Stage HTL with a constant resident time of 30 min for three different feedstocks including kitchen wastewater sludge (KwWs), freshwater microalgae Chlorella sorokiniana (UUIND6), Co-HTL (KwWs + UUIND6) to obtain the maximum bio-oil yield. According to the results obtained, KwWs appears to be the most suitable for conversion into energy-dense bio-oil under a sustainable biorefinery approach for increased bio-oil yields i.e., 72.75 ± 0.37 wt%, with HHV of 40.52 MJ/kg and energy recovery of 53.64 wt%. Further, the bio-oils and bio-chars derived from different types of biomasses obtained at different temperature conditions were analyzed by GC–MS, NMR, FTIR, and Raman spectroscopy to identify variations in the bio-crude compounds.

AB - This study aims to elucidate the effect of Multi-Stage HTL with a constant resident time of 30 min for three different feedstocks including kitchen wastewater sludge (KwWs), freshwater microalgae Chlorella sorokiniana (UUIND6), Co-HTL (KwWs + UUIND6) to obtain the maximum bio-oil yield. According to the results obtained, KwWs appears to be the most suitable for conversion into energy-dense bio-oil under a sustainable biorefinery approach for increased bio-oil yields i.e., 72.75 ± 0.37 wt%, with HHV of 40.52 MJ/kg and energy recovery of 53.64 wt%. Further, the bio-oils and bio-chars derived from different types of biomasses obtained at different temperature conditions were analyzed by GC–MS, NMR, FTIR, and Raman spectroscopy to identify variations in the bio-crude compounds.

KW - Chlorella sorokiniana

KW - Co-HTL

KW - Hydrothermal liquefaction

KW - Microalgae

KW - Sludge

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U2 - 10.1016/j.fuel.2022.125253

DO - 10.1016/j.fuel.2022.125253

M3 - Article

AN - SCOPUS:85134557794

SN - 0016-2361

VL - 328

JO - Fuel

JF - Fuel

M1 - 125253

ER -

Multi-stage hydrothermal liquefaction modeling of sludge and microalgae biomass to increase bio-oil yield

Abstract

Keywords

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