Documents disponibles écrits par cet auteur

Minimize flaring through integration with fuel gas networks / Anoop Jagannath in Industrial & engineering chemistry research, Vol. 51 N° 39 (Octobre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 39 (Octobre 2012) . - pp. 12630-12641 Titre : Minimize flaring through integration with fuel gas networks Type de document : texte imprimé Auteurs : Anoop Jagannath, Auteur ; M. M. Faruque Hasan, Auteur ; Fahad M. Al Fadhli, Auteur Année de publication : 2012 Article en page(s) : pp. 12630-12641 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Fuel  gas Résumé : A fuel gas network (FGN) in a petrochemical complex can save energy costs substantially and reduce flaring by utilizing purge/waste fuel streams (Hasan et al. Ind. Eng. Chem. Res. 2011, 50, 7414―7427). A properly designed FGN can involve complex and nonintuitive mixing scenarios and equipment arrangements. Furthermore, the purge/waste gases and their characteristics can vary significantly with changing operation modes in a plant, which makes routing them into an FGN a challenge. This article reports a multiperiod two-stage stochastic programming model to design and operate an FGN that caters to all operating modes, and shows the usefulness of optimized FGN on a refinery case study. Results show that the proposed model produces a resilient FGN and reduces capital costs versus the single-mode model of (Hasan et aL Ind. Eng. Chem. Res. 2011, 50, 7414―7427). In addition, several strategies to minimize flaring and environmental penalties in a refinery operation are examined. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26419218 [article] Minimize flaring through integration with fuel gas networks [texte imprimé] / Anoop Jagannath, Auteur ; M. M. Faruque Hasan, Auteur ; Fahad M. Al Fadhli, Auteur . - 2012 . - pp. 12630-12641. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 39 (Octobre 2012) . - pp. 12630-12641 Mots-clés : Fuel  gas Résumé : A fuel gas network (FGN) in a petrochemical complex can save energy costs substantially and reduce flaring by utilizing purge/waste fuel streams (Hasan et al. Ind. Eng. Chem. Res. 2011, 50, 7414―7427). A properly designed FGN can involve complex and nonintuitive mixing scenarios and equipment arrangements. Furthermore, the purge/waste gases and their characteristics can vary significantly with changing operation modes in a plant, which makes routing them into an FGN a challenge. This article reports a multiperiod two-stage stochastic programming model to design and operate an FGN that caters to all operating modes, and shows the usefulness of optimized FGN on a refinery case study. Results show that the proposed model produces a resilient FGN and reduces capital costs versus the single-mode model of (Hasan et aL Ind. Eng. Chem. Res. 2011, 50, 7414―7427). In addition, several strategies to minimize flaring and environmental penalties in a refinery operation are examined. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26419218

Modeling, simulation, and optimization of postcombustion CO2 capture for variable feed concentration and flow rate / M. M. Faruque Hasan in Industrial & engineering chemistry research, Vol. 51 N° 48 (Décembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 48 (Décembre 2012) . - pp. 15642–15664 Titre : Modeling, simulation, and optimization of postcombustion CO2 capture for variable feed concentration and flow rate : . 1. Chemical absorption and membrane processes Type de document : texte imprimé Auteurs : M. M. Faruque Hasan, Auteur ; Richard C. Baliban, Auteur ; Josephine A. Elia, Auteur Année de publication : 2013 Article en page(s) : pp. 15642–15664 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Optimization  Postcombustion  CO2 Résumé : Studies on leading technologies for industrial CO2 capture are performed. Each technology includes flue gas dehydration, capture of at least 90% of CO2 from the feed, and compression to almost pure CO2 for sequestration at 150 bar. This paper presents the modeling, simulation, optimization, and energy integration of a monoethanolamine (MEA)-based chemical absorption process and a multistage membrane process over a range of feed compositions (1–70% CO2, 5.5–15% H2O, 5.5% O2, and the balance N2) and flow rates (0.1, 1, 5, and 10 kmol/s). A superstructure of process alternatives is developed to select the optimum dehydration strategy for the feed to each process. A rigorous simulation-based optimization model is proposed to determine the minimum annualized cost of the MEA-absorption process. The MEA-absorption process is energy integrated through heat exchanger network optimization. A novel mathematical model is developed for the optimization of multistage and multicomponent separation of CO2 using membranes, which can be also used for a range of membrane-based gas separation applications. The results showing the optimum investment, operating, and total costs provide a quantitative approach toward technology comparison and scaling up the absorption- and membrane-based CO2 capture from various CO2 emitting industries. Explicit expressions for the investment and operating costs of each alternative postcombustion CO2 capture process as functions of feed flow rate and CO2 composition are also developed for the first time. This may assist the decision-makers in selecting the cost-appropriate technology for comprehensive carbon management by taking the diverse emission scenarios into consideration. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie301571d [article] Modeling, simulation, and optimization of postcombustion CO2 capture for variable feed concentration and flow rate : . 1. Chemical absorption and membrane processes [texte imprimé] / M. M. Faruque Hasan, Auteur ; Richard C. Baliban, Auteur ; Josephine A. Elia, Auteur . - 2013 . - pp. 15642–15664. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 48 (Décembre 2012) . - pp. 15642–15664 Mots-clés : Optimization  Postcombustion  CO2 Résumé : Studies on leading technologies for industrial CO2 capture are performed. Each technology includes flue gas dehydration, capture of at least 90% of CO2 from the feed, and compression to almost pure CO2 for sequestration at 150 bar. This paper presents the modeling, simulation, optimization, and energy integration of a monoethanolamine (MEA)-based chemical absorption process and a multistage membrane process over a range of feed compositions (1–70% CO2, 5.5–15% H2O, 5.5% O2, and the balance N2) and flow rates (0.1, 1, 5, and 10 kmol/s). A superstructure of process alternatives is developed to select the optimum dehydration strategy for the feed to each process. A rigorous simulation-based optimization model is proposed to determine the minimum annualized cost of the MEA-absorption process. The MEA-absorption process is energy integrated through heat exchanger network optimization. A novel mathematical model is developed for the optimization of multistage and multicomponent separation of CO2 using membranes, which can be also used for a range of membrane-based gas separation applications. The results showing the optimum investment, operating, and total costs provide a quantitative approach toward technology comparison and scaling up the absorption- and membrane-based CO2 capture from various CO2 emitting industries. Explicit expressions for the investment and operating costs of each alternative postcombustion CO2 capture process as functions of feed flow rate and CO2 composition are also developed for the first time. This may assist the decision-makers in selecting the cost-appropriate technology for comprehensive carbon management by taking the diverse emission scenarios into consideration. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie301571d

Modeling, simulation, and optimization of postcombustion CO2 capture for variable feed concentration and flow rate / M. M. Faruque Hasan in Industrial & engineering chemistry research, Vol. 51 N° 48 (Décembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 48 (Décembre 2012) . - pp. 15665-15682 Titre : Modeling, simulation, and optimization of postcombustion CO2 capture for variable feed concentration and flow rate : . 2. Pressure swing adsorption and vacuum swing adsorption processes Type de document : texte imprimé Auteurs : M. M. Faruque Hasan, Auteur ; Richard C. Baliban, Auteur ; Josephine A. Elia, Auteur Année de publication : 2013 Article en page(s) : pp. 15665-15682 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Vacuum  swing  adsorption  Pressure  swing  adsorption  Optimization  Carbon  dioxide  Modeling Résumé : This paper reports studies on CO2 capture technologies and presents the mathematical modeling, simulation, and optimization of adsorption-based process alternatives, namely, pressure swing adsorption (PSA) and vacuum swing adsorption (VSA). Each technology includes feed dehydration, capture of at least 90% of CO2 from the feed, and compression to almost pure CO2 for sequestration at 150 bar. Each process alternative is optimized over a range of feed CO2 compositions and flow rates. A superstructure of alternatives is developed to select the optimum dehydration strategy for feed to each process. A four-step process with pressurization, adsorption in multiple columns packed with 13X zeolite, N2 purging, and product recovery at moderate to low vacuum is configured. A nonlinear algebraic and partial differential equation (NAPDE) based nonisothermal adsorption model is used, which is fully discretized and solved via a kriging model. Explicit expressions for costs as functions of feed flow rate and CO2 composition are also developed for the PSA- and VSA-based CO2 capture and compression for the first time. Furthermore, a cost-based comparison of four leading CO2 capture technologies, namely, absorption-, membrane-, PSA-, and VSA-based processes, is presented over a range of flue gas compositions and flow rates. This enables selection of the most cost-effective CO2 capture and storage (CCS) technology for diverse emission scenarios. Results indicate that CO2 can be captured with the least cost using a MEA-based chemical absorption when the feed CO2 composition is less than 15―20%. For higher CO2 compositions, VSA is the preferred process. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26710604 [article] Modeling, simulation, and optimization of postcombustion CO2 capture for variable feed concentration and flow rate : . 2. Pressure swing adsorption and vacuum swing adsorption processes [texte imprimé] / M. M. Faruque Hasan, Auteur ; Richard C. Baliban, Auteur ; Josephine A. Elia, Auteur . - 2013 . - pp. 15665-15682. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 48 (Décembre 2012) . - pp. 15665-15682 Mots-clés : Vacuum  swing  adsorption  Pressure  swing  adsorption  Optimization  Carbon  dioxide  Modeling Résumé : This paper reports studies on CO2 capture technologies and presents the mathematical modeling, simulation, and optimization of adsorption-based process alternatives, namely, pressure swing adsorption (PSA) and vacuum swing adsorption (VSA). Each technology includes feed dehydration, capture of at least 90% of CO2 from the feed, and compression to almost pure CO2 for sequestration at 150 bar. Each process alternative is optimized over a range of feed CO2 compositions and flow rates. A superstructure of alternatives is developed to select the optimum dehydration strategy for feed to each process. A four-step process with pressurization, adsorption in multiple columns packed with 13X zeolite, N2 purging, and product recovery at moderate to low vacuum is configured. A nonlinear algebraic and partial differential equation (NAPDE) based nonisothermal adsorption model is used, which is fully discretized and solved via a kriging model. Explicit expressions for costs as functions of feed flow rate and CO2 composition are also developed for the PSA- and VSA-based CO2 capture and compression for the first time. Furthermore, a cost-based comparison of four leading CO2 capture technologies, namely, absorption-, membrane-, PSA-, and VSA-based processes, is presented over a range of flue gas compositions and flow rates. This enables selection of the most cost-effective CO2 capture and storage (CCS) technology for diverse emission scenarios. Results indicate that CO2 can be captured with the least cost using a MEA-based chemical absorption when the feed CO2 composition is less than 15―20%. For higher CO2 compositions, VSA is the preferred process. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26710604

Preliminary synthesis of fuel gas networks to conserve energy and preserve the environment / M. M. Faruque Hasan in Industrial & engineering chemistry research, Vol. 50 N° 12 (Juin 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 12 (Juin 2011) . - pp. 7414-7427 Titre : Preliminary synthesis of fuel gas networks to conserve energy and preserve the environment Type de document : texte imprimé Auteurs : M. M. Faruque Hasan, Auteur ; Iftekhar A. Karimi, Auteur ; Cory Matthew Avison, Auteur Année de publication : 2011 Article en page(s) : pp. 7414-7427 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Fuel  gas Résumé : Many chemical plants produce a variety of hydrocarbon gases with fuel value. A fuel gas network (FGN) integrates and uses these fuel gases appropriately to make best use of them. FGNs are critical components of many chemical plants including liquefied natural gas (LNG) plants and refineries. However, a systematic approach to design and operate realistic FGNs is not currently available in the literature. We address the optimal synthesis of an FGN with many practical features such as auxiliary equipment (valves, pipelines, compressors, heaters/ coolers, etc.), nonisobaric and nonisothermal operation, nonisothermal mixing, nonlinear fuel-quality specifications, fuel/utility costs, disposal and treatment costs, and emission standards. We develop a nonlinear program (NLP) based on a novel superstructure that embeds plausible alternatives for heating/cooling, moving, mixing, and splitting. We successfully apply our model to three real-life case studies from the LNG and refinery industries to demonstrate that an FGN can save 40―50% of the total energy costs of a plant and reduce the fuel-from-feed or fuel-from-product consumptions by similar amounts. This work represents an important contribution toward conserving energy, preserving the environment, and improving plant economics using advanced techniques of process systems optimization. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24239057 [article] Preliminary synthesis of fuel gas networks to conserve energy and preserve the environment [texte imprimé] / M. M. Faruque Hasan, Auteur ; Iftekhar A. Karimi, Auteur ; Cory Matthew Avison, Auteur . - 2011 . - pp. 7414-7427. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 12 (Juin 2011) . - pp. 7414-7427 Mots-clés : Fuel  gas Résumé : Many chemical plants produce a variety of hydrocarbon gases with fuel value. A fuel gas network (FGN) integrates and uses these fuel gases appropriately to make best use of them. FGNs are critical components of many chemical plants including liquefied natural gas (LNG) plants and refineries. However, a systematic approach to design and operate realistic FGNs is not currently available in the literature. We address the optimal synthesis of an FGN with many practical features such as auxiliary equipment (valves, pipelines, compressors, heaters/ coolers, etc.), nonisobaric and nonisothermal operation, nonisothermal mixing, nonlinear fuel-quality specifications, fuel/utility costs, disposal and treatment costs, and emission standards. We develop a nonlinear program (NLP) based on a novel superstructure that embeds plausible alternatives for heating/cooling, moving, mixing, and splitting. We successfully apply our model to three real-life case studies from the LNG and refinery industries to demonstrate that an FGN can save 40―50% of the total energy costs of a plant and reduce the fuel-from-feed or fuel-from-product consumptions by similar amounts. This work represents an important contribution toward conserving energy, preserving the environment, and improving plant economics using advanced techniques of process systems optimization. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24239057