The Experts below are selected from a list of 440634 Experts worldwide ranked by ideXlab platform
Markus J. Herrgård - One of the best experts on this subject based on the ideXlab platform.
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Multi-scale modeling for sustainable Chemical Production
Biotechnology journal, 2013Co-Authors: Kai Zhuang, Bhavik R. Bakshi, Markus J. HerrgårdAbstract:With recent advances in metabolic engineering, it is now technically possible to produce a wide portfolio of existing petroChemical products from biomass feedstock. In recent years, a number of modeling approaches have been developed to support the engineering and decision-making processes associated with the development and implementation of a sustainable bioChemical industry. The temporal and spatial scales of modeling approaches for sustainable Chemical Production vary greatly, ranging from metabolic models that aid the design of fermentative microbial strains to material and monetary flow models that explore the ecological impacts of all economic activities. Research efforts that attempt to connect the models at different scales have been limited. Here, we review a number of existing modeling approaches and their applications at the scales of metabolism, bioreactor, overall process, Chemical industry, economy, and ecosystem. In addition, we propose a multi-scale approach for integrating the existing models into a cohesive framework. The major benefit of this proposed framework is that the design and decision-making at each scale can be informed, guided, and constrained by simulations and predictions at every other scale. In addition, the development of this multi-scale framework would promote cohesive collaborations across multiple traditionally disconnected modeling disciplines to achieve sustainable Chemical Production.
Christos T Maravelias - One of the best experts on this subject based on the ideXlab platform.
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Mixed-Integer Programming Model and Tightening Methods for Scheduling in General Chemical Production Environments
Industrial & Engineering Chemistry Research, 2013Co-Authors: Sara Velez, Christos T MaraveliasAbstract:We develop a mixed-integer programming (MIP) model to address Chemical Production scheduling problems in a wide range of facilities, including facilities with many different types of material handling restrictions and a wide range of process characteristics. We first discuss how material handling restrictions result in different types of Production environments and then show how these restrictions can be modeled. We also present extensions for some important processing constraints and briefly discuss how other constraints and characteristics can be modeled. Finally, we present constraint propagation methods for the calculation of parameters that are used to formulate tightening constraints that lead to a substantial reduction of computational requirements. The proposed model is the first to address the generalized Chemical Production scheduling problem.
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general framework and modeling approach classification for Chemical Production scheduling
Aiche Journal, 2012Co-Authors: Christos T MaraveliasAbstract:Despite the increased number of publications in the area during the last two decades, there is no unified notation and systematic framework for Chemical Production scheduling. In this article, we first develop a framework for the description of scheduling problems in the Chemical industries. While building upon ideas used in discrete manufacturing, the proposed framework accounts for features such as material handling restrictions which are critical in Chemical Production scheduling. Second, we present a classification of the various modeling approaches that have been presented in the process systems engineering literature. Our classification is broader than previous schemes because it accounts for more attributes, and it also offers a broader discussion of the modeling of time. We believe that our analysis will enhance the understanding of Chemical Production scheduling and lead to further advances in the area. © 2012 American Institute of Chemical Engineers AIChE J, 58: 1812–1828, 2012
Jean-loup Faulon - One of the best experts on this subject based on the ideXlab platform.
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mapping the patent landscape of synthetic biology for fine Chemical Production pathways
Microbial Biotechnology, 2016Co-Authors: Pablo Carbonell, Abdulkerim Gok, Philip Shapira, Jean-loup FaulonAbstract:A goal of synthetic biology bio-foundries is to innovate through an iterative design/build/test/learn pipeline. In assessing the value of new Chemical Production routes, the intellectual property (IP) novelty of the pathway is important. Exploratory studies can be carried using knowledge of the patent/IP landscape for synthetic biology and metabolic engineering. In this paper, we perform an assessment of pathways as potential targets for Chemical Production across the full catalogue of reachable Chemicals in the extended metabolic space of chassis organisms, as computed by the retrosynthesis-based algorithm RetroPath. Our database for reactions processed by sequences in heterologous pathways was screened against the PatSeq database, a comprehensive collection of more than 150M sequences present in patent grants and applications. We also examine related patent families using Derwent Innovations. This large-scale computational study provides useful insights into the IP landscape of synthetic biology for fine and specialty Chemicals Production.
Nadia Al Sandouk - One of the best experts on this subject based on the ideXlab platform.
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Identification and Chemical characterization of specific organic indicators in the effluents from Chemical Production sites.
Water research, 2011Co-Authors: Oxana Botalova, Jan Schwarzbauer, Nadia Al SandoukAbstract:The structural diversity of the wastewater composition was described by the use of detailed non-target screening analyses of industrial effluents from Chemical Production sites. Determination of the indicative organic compounds acting as potential molecular indicators for industrial emissions from Chemical Production industries has been possible due to (i) detailed characterisation of industrial contaminants and identification of compounds with high source specificity, (ii) quantitative determination of the organic constituents in the industrial effluents and (iii) the review of their industrial applications. The determination of potential site-specific markers and industrial molecular indicators corresponding to certain Production processes (Production of starting materials for manufacturing paper and printing inks, powder coatings as well as epichlorohydrin Production) was performed in this work. The results of this study allowed significant contributions to the Chemical characterisation of industrial contaminants and isolation of indicators that can act as representatives of industrial effluents in the aquatic environment.
Kai Zhuang - One of the best experts on this subject based on the ideXlab platform.
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Multi-scale modeling for sustainable Chemical Production
Biotechnology journal, 2013Co-Authors: Kai Zhuang, Bhavik R. Bakshi, Markus J. HerrgårdAbstract:With recent advances in metabolic engineering, it is now technically possible to produce a wide portfolio of existing petroChemical products from biomass feedstock. In recent years, a number of modeling approaches have been developed to support the engineering and decision-making processes associated with the development and implementation of a sustainable bioChemical industry. The temporal and spatial scales of modeling approaches for sustainable Chemical Production vary greatly, ranging from metabolic models that aid the design of fermentative microbial strains to material and monetary flow models that explore the ecological impacts of all economic activities. Research efforts that attempt to connect the models at different scales have been limited. Here, we review a number of existing modeling approaches and their applications at the scales of metabolism, bioreactor, overall process, Chemical industry, economy, and ecosystem. In addition, we propose a multi-scale approach for integrating the existing models into a cohesive framework. The major benefit of this proposed framework is that the design and decision-making at each scale can be informed, guided, and constrained by simulations and predictions at every other scale. In addition, the development of this multi-scale framework would promote cohesive collaborations across multiple traditionally disconnected modeling disciplines to achieve sustainable Chemical Production.