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  • Journal article
    Giarola S, Romain C, Williams C, Hallett JP, Shah Net al., 2016,

    Techno-economic assessment of the production of phthalic anhydride from corn stover

    , Chemical Engineering Research & Design, Vol: 107, Pages: 181-194, ISSN: 1744-3563

    Phthalic anhydride is used worldwide for an extremely broad range of applications spanning from the plastics industry to the synthesis of resins, agricultural fungicides and amines. This work proposes a conceptual design of a process for the production of phthalic anhydride from an agricultural residue (i.e. corn stover), energy integration alternatives as well as water consumption and life cycle greenhouse emissions assessment. The techno-economic and financial appraisal of the flowsheet proposed is performed. Results show how the valorization of all the carbohydrate-rich fractions present in the biomass as well as energy savings and integration is crucial to obtain an economically viable process and that it is in principle possible to produce renewable phthalic anhydride in a cost-competitive fashion with a lower impact on climate change compared to the traditional synthetic route.

  • Conference paper
    Giarola S, Crow DJG, Hawkes A, 2016,

    A framework for modelling investment decisions in gas infrastructures

    , 26th European Symposium on Computer Aided Process Engineering (ESCAPE), Publisher: ELSEVIER SCIENCE BV, Pages: 259-264, ISSN: 1570-7946
  • Conference paper
    Annevelink B, Staristky I, Krajnc N, Lammens T, Gonzalez DS, Lenz K, Kuhner S, Anttila P, Prinz R, Leduc S, Giarola S, Shah N, Gabrielle B, Galindo DGet al., 2016,

    S2BIOM SURVEY OF LOGISTICAL CONCEPTS

    , 24th International European Biomass Conference on Setting the Course for a Biobased Economy, Publisher: ETA-FLORENCE RENEWABLE ENERGIES, Pages: 108-113
  • Conference paper
    Panteli A, Giarola S, Shah N, 2016,

    A generic MILP modelling framework for the systematic design of lignocellulosic biorefining supply chains

    , Pages: 197-199

    The development of sustainable biobased economies could help overcome the high societal dependency on fossil resources. Therefore, research has focused on the study of advanced biorefining networks. The complexity of such production systems requires the use of efficient decision-making tools, enabling a full exploitation of biomass (and its macrocomponents, i.e. cellulose, hemicellulose and lignin) for the production of biobased products and platform chemicals (Kokossis and Yang, 2010). Therefore, it is also essential to identify the most promising pretreatment process that fractionates biomass into cellulose, hemicellulose and lignin and usually represents the highest cost part of the entire biorefining system. In addition, the deployment of second-generation technologies is still hindered by high capital costs as well as the existence of uncertainties (e.g. demand and price of biobased products) in the so far immature biobased market. Consequently, one of the most important and challenging aspects in the quest of producing a set of sustainable biobased products, is the design of an integrated and economically viable biorefinery supply network (Akgul et al., 2011; Martín and Grossmann, 2010; Čuček et al., 2014). Optimisation tools could play a powerful role supporting decision in such novel production systems, through the identification of the major cost drivers, the performance of sensitivity analysis as well as the assessment of economic and technical uncertainties (Kim et al., 2013). The aim of this work is the modelling and optimization of biorefining chain systems using an integrated approach to the modelling of all the entities involved across the technology chain, with the purpose of achieving a long-term, decision-making regarding the systematic design and planning of advanced biorefining networks.

  • Book chapter
    Panteli A, Giarola S, Shah N, 2016,

    Lignocellulosic supply chain MILP model: a Hungarian case study

    , Editors: Kravanja, Bogataj, Publisher: ELSEVIER SCIENCE BV, Pages: 253-258
  • Conference paper
    Budinis S, Thornhill NF, 2015,

    Control of centrifugal compressors via model predictive control for enhanced oil recovery applications

    , 2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production OOGP 2015, Publisher: Elsevier, Pages: 9-14, ISSN: 1474-6670

    This paper proposes a control system for integrated pressure and surge control of centrifugal compressors for enhanced oil recovery application. The proposed control system is based on linear model predictive control. A fully validated non-linear dynamic model was developed in order to simulate the operation of the compressor at full and partial load. The model of the compression system includes a main process line with the compressor and a recycle line with the antisurge recycle valve. Different disturbance and control tuning scenarios were tested and the response of the model predictive controller was analysed, evaluated and also compared with a traditional control system. Temperature effects have been taken into account in the model of the process and in the constraint formulation of the MPC optimization problem. The results show that the proposed control technique is able to meet the process demand while preventing surge and also minimizing the amount of gas recycle.

  • Conference paper
    Budinis S, Thornhill NF, 2015,

    Supercritical gas recycle analysis for surge control of centrifugal compressors

    , 12th International Symposium on Process Systems Engineering (PSE) / 25th European Symposium on Computer Aided Process Engineering (ESCAPE), Publisher: ELSEVIER SCIENCE BV, Pages: 1583-1588, ISSN: 1570-7946
  • Journal article
    Ortiz-Gutierrez RA, Giarola S, Shah N, Bezzo Fet al., 2015,

    An approach to optimize multi-enterprise biofuel supply chains including Nash equilibrium models

    , 12TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING AND 25TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT C, Vol: 37, Pages: 2255-2260, ISSN: 1570-7946
  • Conference paper
    Panteli A, Giarola S, Shah N, 2015,

    Supply chain optimization tools for the strategic planning of biorefining systems

    , Pages: 150-152

    A crucial element of biobased economies is the development of economically sustainable biorefining systems enabling a full exploitation of biomass (and its macrocomponents, i.e. cellulose, hemicellulose and lignin) for the production of chemicals, materials and energy. The huge variety of biomass processing paths in second generation biorefineries leads to complex product portfolios indicating the necessity of maximizing the value derived from biomass feedstock when treated in a biorefinery with the aim to create economically feasible and environmentally sustainable biobased production systems (Kokossis and Yang, 2010). One of the most important and challenging aspects in the quest of producing a set of more sustainable biobased products, is the design of a more profitable, better integrated and more sustainable biorefinery supply chain network (Akgul et al., 2011; Martín and Grossmann, 2010; Čuček et al., 2014). The biomass pretreatment, which fractionates biomass into its three macrocomponents, usually represents the highest costing part of the entire biorefining system (CIMV, 2015). Optimization tools could play a decisive role supporting the decision making process in new biorefinery systems, through the performance of sensitivity analysis, the assessment of technical or economic uncertainties as well as the identification of the major cost drivers (Kim et al., 2013).

  • Book chapter
    Giarola S, Bezzo F, 2015,

    Bioethanol Supply Chain Design and Optimization: Some Achievements and Future Challenges for the Development of Sustainable Biorefineries

    , Computer Aided Chemical Engineering, Pages: 555-581

    Energy security and climate change concerns have endangered the reliability of the current hydrocarbon-based energy system. Biofuels, and bioethanol in particular, have been acknowledged to have a relevant role in leading this paradigm change in the transport energy sector. Quantitative design tools based on mathematical programming may play a relevant role in driving the decision-making progress on well-advised investments in the energy sector.This chapter focuses on the application of mathematical tools to some of the most challenging aspects concerning the actual feasibility and sustainability of biofuel infrastructures. In particular, the optimization of biofuel networks toward economic and environmental objectives will be tackled. Also, the effect of market and technology uncertainties will be discussed as key factors affecting planning strategies in the biofuel sector.

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