Evidence map›Paper›PMID 31237684›Full record

ArticleBiotechnology and bioengineering2019

Multiscale dynamic modeling and simulation of a biorefinery.

Tobias Ploch, Xiao Zhao, Jonathan Hüser, Eric von Lieres, Ralf Hannemann-Tamás, Uwe Naumann, Wolfgang Wiechert, Alexander Mitsos, Stephan Noack

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 15 citations in OpenAlex.

  1. Multiscale dynamic modeling and simulation of a biorefinery.Biotechnology and bioengineering · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Tobias PlochProcess Systems Engineering (AVT.SVT), RWTH Aachen University, Aachen, Germany.
Xiao ZhaoInstitute of Bio- und Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
Jonathan HüserSoftware and Tools for Computational Engineering, RWTH Aachen University, Aachen, Germany.
Eric von LieresInstitute of Bio- und Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
Ralf Hannemann-TamásProcess Systems Engineering (AVT.SVT), RWTH Aachen University, Aachen, Germany.
Uwe NaumannSoftware and Tools for Computational Engineering, RWTH Aachen University, Aachen, Germany.
Wolfgang WiechertInstitute of Bio- und Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
Alexander MitsosProcess Systems Engineering (AVT.SVT), RWTH Aachen University, Aachen, Germany.ORCID 0000-0003-0335-6566
Stephan NoackInstitute of Bio- und Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.ORCID 0000-0001-9784-3626
RWTH Aachen University · DEForschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A biorefinery comprises a variety of process steps to synthesize products from sustainable natural resources. Dynamic plant-wide simulation enhances the process understanding, leads to improved cost efficiency and enables model-based operation and control. It is thereby important for an increased competitiveness to conventional processes. To this end, we developed a Modelica library with replaceable building blocks that allow dynamic modeling of an entire biorefinery. For the microbial conversion step, we built on the dynamic flux balance analysis (DFBA) approach to formulate process models for the simulation of cellular metabolism under changing environmental conditions. The resulting system of differential-algebraic equations with embedded optimization criteria (DAEO) is solved by a tailor-made toolbox. In summary, our modeling framework comprises three major pillars: A Modelica library of dynamic unit operations, an easy-to-use interface to formulate DFBA process models and a DAEO toolbox that allows simulation with standard environments based on the Modelica modeling language. A biorefinery model for dynamic simulation of the OrganoCat pretreatment process and microbial conversion of the resulting feedstock by Corynebacterium glutamicum serves as case study to demonstrate its practical relevance.

Indexed as

Computer SimulationModels, BiologicalCorynebacterium glutamicumbiorefineryDAEODFBAdynamic modelingModelica

Identifiers

PMID31237684
PMCPMC6771778
OpenAlexW2955449332

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.