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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
    Ortiz-Gutiérrez RA, Giarola S, Bezzo F, 2013,

    Optimal design of ethanol supply chains considering carbon trading effects and multiple technologies for side-product exploitation.

    , Environ Technol, Vol: 34, Pages: 2189-2199, ISSN: 0959-3330

    This work proposes a spatially explicit mixed integer linear programming modelling framework representing the dynamic evolution of a bioethanol supply chain (SC) under increasing biofuel demand and greenhouse gas (GHG) emission savings over time. Key features of the proposed framework comprise: (i) the incorporation of available set-aside rural surfaces for energy crop cultivation; (ii) the acknowledgement ofan economic value to the overall GHG emissions through the introduction of an Emission Trading System. Multiple technological options are assessed to exploit the co-product Distiller's Dried Grains with Solubles either as animal fodder (standard usage) or as fuel for heat and power generation or as raw material for biogas production (and hence heat and power). Bioethanol production in Northern Italy is chosen as a demonstrative case study.

  • 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

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