Accelerating manufacturing for biomass conversion via integrated process and bench digitalization: a perspective

Batchu, Sai Praneet; Hernandez, Borja; Malhotra, Abhinav; Fang, Hui; Ierapetritou, Marianthi; Vlachos, Dionisios G.

doi:10.1039/d1re00560j

Title: Accelerating manufacturing for biomass conversion via integrated process and bench digitalization: a perspective

Journal Article · 24 January 2022 · Reaction Chemistry & Engineering

DOI: https://doi.org/10.1039/d1re00560j · OSTI ID:1978823

Batchu, Sai Praneet ^[1];

^[2]; Malhotra, Abhinav ^[2]; Fang, Hui ^[2]; Ierapetritou, Marianthi ^[3];

^[3]

University of Delaware, Newark, DE (United States); OSTI
University of Delaware, Newark, DE (United States)
University of Delaware, Newark, DE (United States); RAPID Manufacturing Institute, and Delaware Energy Institute, Newark, DE (United States)

We present a perspective for accelerating biomass manufacturing via digitalization. We summarize the challenges for manufacturing and identify areas where digitalization can help. A profound potential in using lignocellulosic biomass and renewable feedstocks, in general, is to produce new molecules and products with unmatched properties that have no analog in traditional refineries. Discovering such performance-advantaged molecules and the paths and processes to make them rapidly and systematically can transform manufacturing practices. Furthermore, we discuss retrosynthetic approaches, text mining, natural language processing, and modern machine learning methods to enable digitalization. Laboratory and multiscale computation automation via active learning are crucial to complement existing literature and expedite discovery and valuable data collection without a human in the loop. Such data can help process simulation and optimization select the most promising processes and molecules according to economic, environmental, and societal metrics. We propose the close integration between bench and process scale models and data to exploit the low dimensionality of the data and transform the manufacturing for renewable feedstocks.

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Research Organization:: American Institute of Chemical Engineers (AIChE), New York, NY (United States); University of Delaware, Newark, DE (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: EE0007888; SC0001004

OSTI ID:: 1978823

Journal Information:: Reaction Chemistry & Engineering, Journal Name: Reaction Chemistry & Engineering Journal Issue: 4 Vol. 7; ISSN RCEEBW; ISSN 2058-9883

Publisher:: Royal Society of ChemistryCopyright Statement

Country of Publication:: United States

Language:: English

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