Economic Process

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Francois Marechal - One of the best experts on this subject based on the ideXlab platform.

  • optimal Process design for the polygeneration of sng power and heat by hydrothermal gasification of waste biomass thermo Economic Process modelling and integration
    Energy and Environmental Science, 2011
    Co-Authors: Martin Gassner, Frederic Vogel, Georges Heyen, Francois Marechal
    Abstract:

    This paper presents a Process model for the polygeneration of Synthetic Natural Gas (SNG), power and heat by catalytic hydrothermal gasification of biomass and biomass wastes in supercritical water. Following a systematic Process design methodology, thermodynamic property models and thermo-Economic Process models for hydrolysis, salt separation, gasification and the separation of CH4, CO2, H2 and H2O at high pressure are developed and validated with experimental data. Different strategies for an integrated separation of the crude product, heat supply and energy recovery are elaborated and assembled in a general superstructure. The influence of the Process design on the performance is discussed for some representative scenarios that highlight the key aspects of the design. Based on this work, a thermo-Economic optimisation will allow for determining the most promising options for the polygeneration of fuel and power depending on the available technology, catalyst lifetime, substrate type and plant scale.

  • thermo Economic Process model for thermochemical production of synthetic natural gas sng from lignocellulosic biomass
    Biomass & Bioenergy, 2009
    Co-Authors: Martin Gassner, Francois Marechal
    Abstract:

    A detailed thermo-Economic model considering different technological alternatives for thermochemical production of Synthetic Natural Gas (SNG) from lignocellulosic biomass is presented. First, candidate technology for Processes based on biomass gasification and subsequent methanation is discussed and assembled in a general superstructure. Both energetic and Economic models for biomass drying with air or steam, thermal pretreatment by torrefaction or pyrolysis, indirectly and directly heated gasification, methane synthesis and carbon dioxide removal by physical absorption, pressure swing adsorption and polymeric membranes are then developed. Performance computations for the different Process steps and some exemplary technology scenarios of integrated plants are carried out, and overall energy and exergy efficiencies in the range of 69-76% and 63-69%, respectively, are assessed. For these scenarios, the production cost of SNG including the investment depreciation is estimated to 76-107 EUR/MWh SNG for a plant capacity of 20 MWth biomass, whereas 59-97 EUR/MWh SNG might be reached at scales of 150 MWth biomass and above. Based on this work, a future thermo-Economic optimisation will allow for determining the most promising options for the polygeneration of fuel, power and heat.

Martin Gassner - One of the best experts on this subject based on the ideXlab platform.

  • optimal Process design for the polygeneration of sng power and heat by hydrothermal gasification of waste biomass thermo Economic Process modelling and integration
    Energy and Environmental Science, 2011
    Co-Authors: Martin Gassner, Frederic Vogel, Georges Heyen, Francois Marechal
    Abstract:

    This paper presents a Process model for the polygeneration of Synthetic Natural Gas (SNG), power and heat by catalytic hydrothermal gasification of biomass and biomass wastes in supercritical water. Following a systematic Process design methodology, thermodynamic property models and thermo-Economic Process models for hydrolysis, salt separation, gasification and the separation of CH4, CO2, H2 and H2O at high pressure are developed and validated with experimental data. Different strategies for an integrated separation of the crude product, heat supply and energy recovery are elaborated and assembled in a general superstructure. The influence of the Process design on the performance is discussed for some representative scenarios that highlight the key aspects of the design. Based on this work, a thermo-Economic optimisation will allow for determining the most promising options for the polygeneration of fuel and power depending on the available technology, catalyst lifetime, substrate type and plant scale.

  • thermo Economic Process model for thermochemical production of synthetic natural gas sng from lignocellulosic biomass
    Biomass & Bioenergy, 2009
    Co-Authors: Martin Gassner, Francois Marechal
    Abstract:

    A detailed thermo-Economic model considering different technological alternatives for thermochemical production of Synthetic Natural Gas (SNG) from lignocellulosic biomass is presented. First, candidate technology for Processes based on biomass gasification and subsequent methanation is discussed and assembled in a general superstructure. Both energetic and Economic models for biomass drying with air or steam, thermal pretreatment by torrefaction or pyrolysis, indirectly and directly heated gasification, methane synthesis and carbon dioxide removal by physical absorption, pressure swing adsorption and polymeric membranes are then developed. Performance computations for the different Process steps and some exemplary technology scenarios of integrated plants are carried out, and overall energy and exergy efficiencies in the range of 69-76% and 63-69%, respectively, are assessed. For these scenarios, the production cost of SNG including the investment depreciation is estimated to 76-107 EUR/MWh SNG for a plant capacity of 20 MWth biomass, whereas 59-97 EUR/MWh SNG might be reached at scales of 150 MWth biomass and above. Based on this work, a future thermo-Economic optimisation will allow for determining the most promising options for the polygeneration of fuel, power and heat.

Vincent G. Grassi - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic simulation as a tool to integrate Process design and Process control
    ISA Transactions, 1993
    Co-Authors: Vincent G. Grassi
    Abstract:

    Abstract Dynamic simulation provides the Process design and Process control engineer with a highly effective tool to analyze Process transients. When applied in the conceptual phase of a new Process design, dynamic simualtion can be used to determine the optimum design of a proces by simultaneously considering steady-state Economics and plant-wide controllability. A methodology is shown how rigorous dynamic Process simulation can be used as a tool to effectively integrate the Process design and Process control disciplines. Illustration on extractive distillation systems demonstrate that this analysis leads to an optimum Economic Process design with a robust simple single-input single-output regulatory control scheme that meets Process operability requirements.

Mohamad Hamad - One of the best experts on this subject based on the ideXlab platform.

Vunnam Srinivasulu - One of the best experts on this subject based on the ideXlab platform.