The Experts below are selected from a list of 342 Experts worldwide ranked by ideXlab platform
Francois Marechal - One of the best experts on this subject based on the ideXlab platform.
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thermo Economic Optimisation of integrated ethanol and methanol production in the sugarcane industry
Chemical engineering transactions, 2014Co-Authors: Juliana Q Albarelli, Francois Marechal, Sandro Onorati, Priscilla Caliandro, Emanuela Peduzzi, Adriano V EnsinasAbstract:The present paper evaluated a sugarcane biorefinery producing ethanol, through the conventional process by sugars fermentation and methanol through bagasse and leaves gasification, hot cleaning and synthesis. The sugarcane biorefinery was modelled using flowsheet modelling software and thermal integration. A thermo-Economic model was developed in order to analyze the energy efficiency of the system as well as the total investment. Different configurations are analyzed for the methanol production process. Multi-objective optimization using a genetic algorithm solver is performed, allowing the analysis of several process configurations in terms of conflictive objectives energy efficiency and investment cost. The sugarcane biorefinery is self-sufficient in energy demand after thermal integration with a system energy efficiency increasing when the methanol production is higher, although it also leads to an increase in the total investment. Both Entrained Flow and Circulated Fluidized Bed gasification technologies are modelled and compared for sugarcane residues conversion, showing similar impacts in the system efficiency that can reach more than 55 % (dry biomass input low heating value basis), which is almost two fold higher than the one obtained in the traditional sugarcane ethanol plants currently in use.
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thermo Economic Optimisation of the polygeneration of synthetic natural gas sng power and heat from lignocellulosic biomass by gasification and methanation
Energy and Environmental Science, 2012Co-Authors: Martin Gassner, Francois MarechalAbstract:After a brief review of the current research on the production of synthetic natural gas (SNG) from lignocellulosic biomass by gasification and methanation, this paper presents detailed thermo-Economic process Optimisation of the polygeneration of SNG, power and heat. Based on a previously developed model, all suitable candidate configurations of a superstructure of promising technologies for the individual conversion steps are optimised with respect to the overall efficiency and investement cost with an evolutionary, multi-objective algorithm. In an extensive analysis, the influence of process technology, operating conditions and process integration on the thermo-Economic performance is discussed and the best technology matches are determined. Systematically optimised flowsheets might thereby convert 66 to 75% of the dry wood's lower heating value to SNG while cogenerating a considerable amount of power and/or industrial heat. In order to provide a general database of optimal plant configurations, cost exponents that quantify the economies of scale are regressed, and the most profitable flowsheets are identified for different energy price scenarios and scale. A comparison with current literature on SNG production from biomass reveals the potential of applying such systematic process systems engineering approaches for the design of energy- and cost-efficient biofuel plants.
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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, 2011Co-Authors: Martin Gassner, Frederic Vogel, Georges Heyen, Francois MarechalAbstract: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.
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thermo Economic process model for thermochemical production of synthetic natural gas sng from lignocellulosic biomass
Biomass & Bioenergy, 2009Co-Authors: Martin Gassner, Francois MarechalAbstract: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.
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thermo Economic Optimisation of the integration of electrolysis in synthetic natural gas production from wood
Energy, 2008Co-Authors: Martin Gassner, Francois MarechalAbstract:Converting wood to grid quality methane allows to distribute a CO2 free, renewable energy resource in a conventional energy distribution system and use it in transportation applications. Applying a multi-objective Optimisation algorithm to a previously developed thermo-Economic process model for the thermochemical production of synthetic natural gas from wood, the present paper assesses the prospect of integrating an electrolyser in conversion systems based on directly and indirectly heated gasification. Due to an inherent lack of hydrogen for complete conversion of wood into methane and the possibility for rational use of oxygen, it is shown that electrolysis is an efficient and Economically interesting option for increasing the gas output of the process while storing electricity and producing fuel that mitigates CO2 emissions.
Martin Gassner - One of the best experts on this subject based on the ideXlab platform.
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thermo Economic Optimisation of the polygeneration of synthetic natural gas sng power and heat from lignocellulosic biomass by gasification and methanation
Energy and Environmental Science, 2012Co-Authors: Martin Gassner, Francois MarechalAbstract:After a brief review of the current research on the production of synthetic natural gas (SNG) from lignocellulosic biomass by gasification and methanation, this paper presents detailed thermo-Economic process Optimisation of the polygeneration of SNG, power and heat. Based on a previously developed model, all suitable candidate configurations of a superstructure of promising technologies for the individual conversion steps are optimised with respect to the overall efficiency and investement cost with an evolutionary, multi-objective algorithm. In an extensive analysis, the influence of process technology, operating conditions and process integration on the thermo-Economic performance is discussed and the best technology matches are determined. Systematically optimised flowsheets might thereby convert 66 to 75% of the dry wood's lower heating value to SNG while cogenerating a considerable amount of power and/or industrial heat. In order to provide a general database of optimal plant configurations, cost exponents that quantify the economies of scale are regressed, and the most profitable flowsheets are identified for different energy price scenarios and scale. A comparison with current literature on SNG production from biomass reveals the potential of applying such systematic process systems engineering approaches for the design of energy- and cost-efficient biofuel plants.
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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, 2011Co-Authors: Martin Gassner, Frederic Vogel, Georges Heyen, Francois MarechalAbstract: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.
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thermo Economic process model for thermochemical production of synthetic natural gas sng from lignocellulosic biomass
Biomass & Bioenergy, 2009Co-Authors: Martin Gassner, Francois MarechalAbstract: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.
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thermo Economic Optimisation of the integration of electrolysis in synthetic natural gas production from wood
Energy, 2008Co-Authors: Martin Gassner, Francois MarechalAbstract:Converting wood to grid quality methane allows to distribute a CO2 free, renewable energy resource in a conventional energy distribution system and use it in transportation applications. Applying a multi-objective Optimisation algorithm to a previously developed thermo-Economic process model for the thermochemical production of synthetic natural gas from wood, the present paper assesses the prospect of integrating an electrolyser in conversion systems based on directly and indirectly heated gasification. Due to an inherent lack of hydrogen for complete conversion of wood into methane and the possibility for rational use of oxygen, it is shown that electrolysis is an efficient and Economically interesting option for increasing the gas output of the process while storing electricity and producing fuel that mitigates CO2 emissions.
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thermo Economic Optimisation of the integration of electrolysis in a wood to methane process
19th International Conference on Efficiency Cost Optimization Simulation and Environmental Impact pf Energy Systems (ECOS 2006), 2006Co-Authors: Martin Gassner, Francois MarechalAbstract:Converting wood to grid quality methane allows to distribute a CO2 free, renewable enery resource in a conventional energy distribution system and use it in transportation applications. Using a previously developed thermo–Economic process model for thermochemical production of synthetic natural gas from wood and applying a multi–objective Optimisation algorithm, the present paper assesses the prospect of integrating an electrolyser in the system. Due to an inherent lack of hydrogen for complete conversion of wood into methane, it is shown that electrolysis is a viable option for increasing the gas output, storage of electricity and production of fuel that further mitigates national CO2–emissions.
Lewis Johnston - One of the best experts on this subject based on the ideXlab platform.
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Methodology for the Economic Optimisation of energy storage systems for frequency support in wind power plants
Applied Energy, 2015Co-Authors: Lewis Johnston, Cristina Corchero-garcía, Francisco Díaz-gonzález, Oriol Gomis-bellmunt, Miguel Cruz-zambranoAbstract:This paper proposes a methodology for the Economic Optimisation of the sizing of Energy Storage Systems (ESSs) whilst enhancing the participation of Wind Power Plants (WPP) in network primary frequency control support. The methodology was designed flexibly, so it can be applied to different energy markets and to include different ESS technologies. The methodology includes the formulation and solving of a Linear Programming (LP) problem.The methodology was applied to the particular case of a 50. MW WPP, equipped with a Vanadium Redox Flow battery (VRB) in the UK energy market. Analysis is performed considering real data on the UK regular energy market and the UK frequency response market. Data for wind power generation and energy storage costs are estimated from literature.Results suggest that, under certain assumptions, ESSs can be profitable for the operator of a WPP that is providing frequency response. The ESS provides power reserves such that the WPP can generate close to the maximum energy available. The solution of the Optimisation problem establishes that an ESS with a power rating of 5.3. MW and energy capacity of about 3. MW. h would be enough to provide such service whilst maximising the incomes for the WPP operator considering the regular and frequency regulation UK markets.
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methodology for the Economic Optimisation of energy storage systems for frequency support in wind power plants
Applied Energy, 2015Co-Authors: Lewis Johnston, Francisco Diazgonzalez, Oriol Gomisbellmunt, Cristina Corcherogarcia, Miguel CruzzambranoAbstract:This paper proposes a methodology for the Economic Optimisation of the sizing of Energy Storage Systems (ESSs) whilst enhancing the participation of Wind Power Plants (WPP) in network primary frequency control support. The methodology was designed flexibly, so it can be applied to different energy markets and to include different ESS technologies. The methodology includes the formulation and solving of a Linear Programming (LP) problem.
Fabrizio Bezzo - One of the best experts on this subject based on the ideXlab platform.
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european supply chains for carbon capture transport and sequestration with uncertainties in geological storage capacity insights from Economic Optimisation
Computers & Chemical Engineering, 2019Co-Authors: Federico Damore, Fabrizio Bezzo, Nixon Sunny, Diana Iruretagoyena, Nilay ShahAbstract:Abstract Carbon capture and storage is widely recognised as a promising technology for decarbonising the energy and industrial sector. An integrated assessment of technological options is required for effective deployment of large-scale infrastructures between the nodes of production and sequestration of CO2. Additionally, design challenges due to uncertainties in the effective storage availability of sequestration basins must be tackled for the optimal planning of long-lived infrastructure. The objective of this study is to quantify the financial risks arising from geological uncertainties in European supply chain networks, whilst also providing a tool for minimising storage risk exposure. For this purpose, a methodological approach utilising mixed integer linear Optimisation is developed and subsequent analysis demonstrates that risks arising from geological volumes are negligible compared to the overall network costs (always
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Economic Optimisation of european supply chains for co 2 capture transport and sequestration including societal risk analysis and risk mitigation measures
Applied Energy, 2018Co-Authors: Federico Damore, Paolo Mocellin, Chiara Vianello, Giuseppe Maschio, Fabrizio BezzoAbstract:Abstract European large stationary sources are currently emitting more than 1.4 Gt of CO2 every year. A significant decrease in greenhouse gases emissions cannot be achieved without carbon capture and sequestration (CCS) technologies. However, although being practiced for over 30 years, CO2 transportation is intrinsically characterised by the risk of leakage. This study proposes to assess and tackle this issue within the CCS design problem, by proposing a spatially explicit mixed integer linear programming approach for the Economic Optimisation of a European supply chain for carbon capture, transport and geological storage, where societal risk assessment is formally incorporated within the modelling framework. Post-combustion, oxy-fuel combustion and pre-combustion are considered as technological options for CO2 capture, whereas both pipelines (inshore and offshore) and ships are taken into account as transport means. Both inland-inshore and offshore injection options are available for carbon geological sequestration. Risk mitigation measures are considered in the design of the transport network. The overall supply chain is Economically optimised for different minimum carbon reduction scenarios. Results demonstrate that accounting for societal risk may impact the overall carbon sequestration capacity, and that the proposed approach may represent a valuable tool to support policy makers in their strategic decisions.
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Towards the Economic Optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis
13th International Symposium on Process Systems Engineering (PSE 2018), 2018Co-Authors: Federico D’amore, Paolo Mocellin, Chiara Vianello, Giuseppe Maschio, Fabrizio BezzoAbstract:Abstract European large stationary sources are currently emitting more than 1.4 Gtons of CO 2 every year. A significant decrease in greenhouse gases generation cannot be achieved without relying on carbon capture and sequestration technologies. However, although being practiced for over 30 years, CO 2 transportation is intrinsically characterised by the risk of leakage. To assess and tackle this issue, this study proposes a spatially mixed-integer linear programming approach for the Economic Optimisation of a European supply chain for carbon capture, transport and geological storage, in which a risk analysis is carried out and incorporated within the modelling framework. Post-combustion, oxy-fuel combustion and pre-combustion are considered as technological options for CO 2 capture, whereas both pipelines (inshore and offshore) and ships are taken into account as transport means. Societal risk assessment and risk mitigation measures are included in the design of the transport network. The overall supply chain is Economically optimised, in such a way as to guarantee that the local level of risk complies with a pre-defined threshold.
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Economic Optimisation of european supply chains for co2 capture transport and sequestration
International Journal of Greenhouse Gas Control, 2017Co-Authors: Federico Damore, Fabrizio BezzoAbstract:Abstract Diminishing the anthropogenic generation of greenhouse gases is one of the key challenges of the twenty-first century. Considering the current state of affairs, it is barely impossible to reduce emissions without relying on CO 2 capture and sequestration technologies. In a situation where a large-scale infrastructure is yet to be developed, mathematical programming techniques can provide valuable tools to decision makers for optimising their choices. Here, a mixed integer linear programming framework for the strategic design and planning of a large European supply chain for carbon geological storage is presented. The European territory is discretised so as to allow for a spatially explicit definition of large emission clusters. As regards CO 2 capture, post-combustion, oxy-fuel combustion and pre-combustion are considered as possible technological options, whereas both pipelines (inshore and offshore) and ships are taken into account as possible transport means. The overall network is Economically optimised over a 20 years’ time horizon to provide the geographic location and scale of capture and sequestration sites as well as the most convenient transport means and routes. Different scenarios (capturing up to 70% of European CO 2 emissions from large stationary sources) are analysed and commented on. Results demonstrate the good European potential for carbon sequestration and give some indications on the total cost for CO 2 capture, transport and sequestration. Capture costs are found to be the major contribution to total cost, while transport and sequestration costs are never higher than 10% of the investment required to set in motion and operate the whole network. The overall costs for a European carbon capture, transport and storage supply chain were estimated in the range of 27–38 €/ton of CO 2 .
Miguel Cruz-zambrano - One of the best experts on this subject based on the ideXlab platform.
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Methodology for the Economic Optimisation of energy storage systems for frequency support in wind power plants
Applied Energy, 2015Co-Authors: Lewis Johnston, Cristina Corchero-garcía, Francisco Díaz-gonzález, Oriol Gomis-bellmunt, Miguel Cruz-zambranoAbstract:This paper proposes a methodology for the Economic Optimisation of the sizing of Energy Storage Systems (ESSs) whilst enhancing the participation of Wind Power Plants (WPP) in network primary frequency control support. The methodology was designed flexibly, so it can be applied to different energy markets and to include different ESS technologies. The methodology includes the formulation and solving of a Linear Programming (LP) problem.The methodology was applied to the particular case of a 50. MW WPP, equipped with a Vanadium Redox Flow battery (VRB) in the UK energy market. Analysis is performed considering real data on the UK regular energy market and the UK frequency response market. Data for wind power generation and energy storage costs are estimated from literature.Results suggest that, under certain assumptions, ESSs can be profitable for the operator of a WPP that is providing frequency response. The ESS provides power reserves such that the WPP can generate close to the maximum energy available. The solution of the Optimisation problem establishes that an ESS with a power rating of 5.3. MW and energy capacity of about 3. MW. h would be enough to provide such service whilst maximising the incomes for the WPP operator considering the regular and frequency regulation UK markets.
