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  • 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.
  • 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).
  • 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
  • Journal article
    Giarola S, Romain C, Williams CK, Hallett JP, Shah Net al., 2015,

    Production of phthalic anhydride from biorenewables: process design

    , 12TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING AND 25TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT C, Vol: 37, Pages: 2561-2566, ISSN: 1570-7946
  • Journal article
    Giarola S, Patel M, Shah N, 2014,

    Biomass supply chain optimisation for Organosolv-based biorefineries (vol 159, pg 387, 2014)

    , BIORESOURCE TECHNOLOGY, Vol: 172, Pages: 467-467, ISSN: 0960-8524
  • Journal article
    Pantaleo AM, Giarola S, Bauen A, Shah Net al., 2014,

    Integration of biomass into urban energy systems for heat and power. Part II: Sensitivity assessment of main techno-economic factors

    , ENERGY CONVERSION AND MANAGEMENT, Vol: 83, Pages: 362-376, ISSN: 0196-8904
  • Journal article
    Pantaleo AM, Giarola S, Bauen A, Shah Net al., 2014,

    Integration of biomass into urban energy systems for heat and power. Part I: An MILP based spatial optimization methodology

    , ENERGY CONVERSION AND MANAGEMENT, Vol: 83, Pages: 347-361, ISSN: 0196-8904
  • Journal article
    Giarola S, Bezzo F, Shah N, 2013,

    A risk management approach to the economic and environmental strategic design of ethanol supply chains

    , BIOMASS & BIOENERGY, Vol: 58, Pages: 31-51, ISSN: 0961-9534
  • Journal article
    Bernardi A, Giarola S, Bezzo F, 2013,

    Spatially Explicit Multiobjective Optimization for the Strategic Design of First and Second Generation Biorefineries Including Carbon and Water Footprints

    , INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, Vol: 52, Pages: 7170-7180, ISSN: 0888-5885
  • Conference paper
    Giarola S, Shah N, 2013,

    Techno-economic and environmental assessment of ionic liquid-based biorefineries

    , Pages: 338-339

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