Catalytic conversion of paper sludge carbohydrates to jet fuel range hydrocarbons: Process optimization and techno-economic analysis

被引:0
|
作者
Cruz, David [1 ]
Park, Hyeonji [1 ]
Tiller, Phoenix [1 ]
Kumar, Adarsh [2 ]
Gonzalez, Ronalds [1 ]
Mittal, Ashutosh [2 ]
Johnson, David K. [2 ]
Park, Sunkyu [1 ]
机构
[1] North Carolina State Univ, Dept Forest Biomat, Raleigh, NC 27695 USA
[2] Natl Renewable Energy Lab, Renewable Resources & Enabling Sci Ctr, Golden, CO 80401 USA
关键词
Biorefinery; Bioeconomy; Process design; Waste valorization; Pulp and paper; Solvent analysis; VAPOR-LIQUID-EQUILIBRIUM; UNSATURATED-HYDROCARBONS; HYDRODEOXYGENATION; WATER; ACID; DEHYDRATION; GLUCOSE; SYSTEM; LEWIS;
D O I
10.1016/j.cej.2025.160622
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study presents a catalytic pathway involving seven pretreatment and conversion steps to upgrade carbohydrates in paper sludge into a hydrocarbon blend compatible with conventional aviation fuel. Fuel-critical properties analysis by two independent laboratories confirmed that 44.3 % of the resulting hydrocarbon product meets Jet A standards. Nine biorefinery configurations were examined to identify strategies for reducing the minimum fuel selling price (MFSP) of the final hydrocarbon product. Techno-economic analysis revealed that replacing 1,4-dioxane with acetone and increasing sugar concentration during the dehydration step, along with using biobased methyl ethyl ketone in aldol-condensation, are key factors in reducing the MFSP from $8.6 per gasoline gallon equivalent (GGE) in the base case to $4.5/GGE in the optimized scenario. A sensitivity assessment was conducted for each configuration analyzed to identify additional process optimization opportunities to enhance the economic viability of the biorefinery process relative to conventional jet fuel.
引用
收藏
页数:14
相关论文
共 50 条
  • [11] Stochastic techno-economic analysis of alcohol-to-jet fuel production
    Yao, Guolin
    Staples, Mark D.
    Malina, Robert
    Tyner, Wallace E.
    BIOTECHNOLOGY FOR BIOFUELS, 2017, 10
  • [12] Stochastic techno-economic analysis of alcohol-to-jet fuel production
    Guolin Yao
    Mark D. Staples
    Robert Malina
    Wallace E. Tyner
    Biotechnology for Biofuels, 10
  • [13] Techno-economic process optimization for a range of membrane What real value for carbon
    Watson, Joshua C.
    Pennisi, Kenneth J.
    Parrish, Christine
    Majumdar, Sudip
    CARBON CAPTURE SCIENCE & TECHNOLOGY, 2024, 11
  • [14] Techno-economic analysis and a novel assessment technique of paper mill sludge conversion to bioethanol toward sustainable energy production
    Alkasrawi, Malek
    Rajangam, Alex S.
    Tawalbeh, Muhammad
    Kafiah, Feras
    Al-Othman, Amani
    Al-Asheh, Sameer
    Sun, Qiang
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 44 (15) : 12602 - 12613
  • [15] Techno-economic assessment of modified Fischer-Tropsch synthesis process for direct CO2 conversion into jet fuel
    Han, Yide
    Kamkeng, Ariane D. N.
    Otitoju, Olajide
    Ding, Yuxing
    Wang, Meihong
    FUEL, 2025, 381
  • [16] Assessment of the feasibility of the production of alternative jet fuel and diesel using catalytic hydrothermolysis technology: a stochastic techno-economic analysis
    Nguyen, Nhu
    Tyner, Wallace E.
    BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR, 2022, 16 (01): : 91 - 104
  • [17] Techno-economic analysis of jet-fuel production from biorefinery waste lignin
    Shen, Rongchun
    Tao, Ling
    Yang, Bin
    BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR, 2019, 13 (03): : 486 - 501
  • [18] Techno-economic analysis of hydroprocessed renewable jet fuel production from pennycress oilseed
    Mousavi-Avval, Seyed Hashem
    Shah, Ajay
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 149
  • [19] Ammonia/Urea Production Process Simulation/Optimization with Techno-Economic Analysis
    Jeenchay, Jiranart
    Siemanond, Kitipat
    28TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2018, 43 : 385 - 390
  • [20] Techno-economic analysis and process optimization of a PET chemical recycling process based on Bayesian optimization
    Urm, Jae Jung
    Choi, Jae Hwan
    Kim, Chan
    Lee, Jong Min
    COMPUTERS & CHEMICAL ENGINEERING, 2023, 179