Documents disponibles écrits par cet auteur

Development of a scalable and comprehensive infrastructure model for carbon dioxide utilization and disposal / Jee-Hoon Han in Industrial & engineering chemistry research, Vol. 50 N° 10 (Mai 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 10 (Mai 2011) . - pp. 6297-6315 Titre : Development of a scalable and comprehensive infrastructure model for carbon dioxide utilization and disposal Type de document : texte imprimé Auteurs : Jee-Hoon Han, Auteur ; In-Beum Lee, Auteur Année de publication : 2011 Article en page(s) : pp. 6297-6315 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Carbon  dioxide  Modeling Résumé : Much of the previous research on carbon capture and storage (CCS) has focused on individual technologies for disposing of CO2, such as capture, storage, sequestration, or transport. Moreover, recent research work considers utilization of CO2 as fuels, chemicals, or nutrients for bioreactors. To efficiently manage CO2 and the economic benefits achieved by this process, the CO2 transport and processing infrastructure supporting CCS will have to be constructed at a macro-scale. This paper introduces a scalable and comprehensive infrastructure model for CO2 utilization and disposal that generates an integrated, profit-maximizing CCS system. The proposed model determines where and how much CO2 to capture, store, transport, utilize or sequester to maximize total annual profit while meeting the CO2 mitigation target. The applicability of the proposed model is demonstrated using a case study for treating CO2 emitted by an industrial complex on the eastern coast of Korea in 2020. The results may be important in systematic planning of a CCS infrastructure and in assisting national and international policy makers to determine investment strategies for developing CCS infrastructures. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24158925 [article] Development of a scalable and comprehensive infrastructure model for carbon dioxide utilization and disposal [texte imprimé] / Jee-Hoon Han, Auteur ; In-Beum Lee, Auteur . - 2011 . - pp. 6297-6315. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 10 (Mai 2011) . - pp. 6297-6315 Mots-clés : Carbon  dioxide  Modeling Résumé : Much of the previous research on carbon capture and storage (CCS) has focused on individual technologies for disposing of CO2, such as capture, storage, sequestration, or transport. Moreover, recent research work considers utilization of CO2 as fuels, chemicals, or nutrients for bioreactors. To efficiently manage CO2 and the economic benefits achieved by this process, the CO2 transport and processing infrastructure supporting CCS will have to be constructed at a macro-scale. This paper introduces a scalable and comprehensive infrastructure model for CO2 utilization and disposal that generates an integrated, profit-maximizing CCS system. The proposed model determines where and how much CO2 to capture, store, transport, utilize or sequester to maximize total annual profit while meeting the CO2 mitigation target. The applicability of the proposed model is demonstrated using a case study for treating CO2 emitted by an industrial complex on the eastern coast of Korea in 2020. The results may be important in systematic planning of a CCS infrastructure and in assisting national and international policy makers to determine investment strategies for developing CCS infrastructures. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24158925

A Multiobjective optimization approach for CCS infrastructure considering cost and environmental impact / Jae-Uk Lee in Industrial & engineering chemistry research, Vol. 51 N° 43 (Octobre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 43 (Octobre 2012) . - pp. 14145-14157 Titre : A Multiobjective optimization approach for CCS infrastructure considering cost and environmental impact Type de document : texte imprimé Auteurs : Jae-Uk Lee, Auteur ; Jee-Hoon Han, Auteur ; In-Beum Lee, Auteur Année de publication : 2013 Article en page(s) : pp. 14145-14157 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Environment  impact  Optimization Résumé : In this study, we address the design of a carbon capture and storage (CCS) infrastructure with economic and environmental concerns. Given a set of available technologies to capture, sequestrate, and transport CO2, the problem consists of determining the optimal planning of the CCS infrastructure capable of satisfying a predefined CO2 reduction target. The planning task is formulated as a multiobjective mixed-integer linear programming (moMILP) problem, which simultaneously accounts for the minimization of cost and environmental impact. The environmental impact is measured through all contributions made by operation and installation of the CCS infrastructure. The emissions considered in the environmental impact analysis are quantified according to the principles of Life Cycle Assessment (LCA), specifically the Eco-indicator 99 method. The multiobjective optimization problem was solved by using the e-constraint method. The capability of the proposed modeling framework is illustrated and applied to a real case study based on Korea, for which valuable insights are obtained. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26593342 [article] A Multiobjective optimization approach for CCS infrastructure considering cost and environmental impact [texte imprimé] / Jae-Uk Lee, Auteur ; Jee-Hoon Han, Auteur ; In-Beum Lee, Auteur . - 2013 . - pp. 14145-14157. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 43 (Octobre 2012) . - pp. 14145-14157 Mots-clés : Environment  impact  Optimization Résumé : In this study, we address the design of a carbon capture and storage (CCS) infrastructure with economic and environmental concerns. Given a set of available technologies to capture, sequestrate, and transport CO2, the problem consists of determining the optimal planning of the CCS infrastructure capable of satisfying a predefined CO2 reduction target. The planning task is formulated as a multiobjective mixed-integer linear programming (moMILP) problem, which simultaneously accounts for the minimization of cost and environmental impact. The environmental impact is measured through all contributions made by operation and installation of the CCS infrastructure. The emissions considered in the environmental impact analysis are quantified according to the principles of Life Cycle Assessment (LCA), specifically the Eco-indicator 99 method. The multiobjective optimization problem was solved by using the e-constraint method. The capability of the proposed modeling framework is illustrated and applied to a real case study based on Korea, for which valuable insights are obtained. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26593342

Multiperiod stochastic optimization model for carbon capture and storage infrastructure under uncertainty in CO2 emissions, product prices, and operating costs / Jee-Hoon Han in Industrial & engineering chemistry research, Vol. 51 N° 35 (Septembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 35 (Septembre 2012) . - pp. 11445-11457 Titre : Multiperiod stochastic optimization model for carbon capture and storage infrastructure under uncertainty in CO2 emissions, product prices, and operating costs Type de document : texte imprimé Auteurs : Jee-Hoon Han, Auteur ; In-Beum Lee, Auteur Année de publication : 2012 Article en page(s) : pp. 11445-11457 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Carbon  dioxide  Uncertainty  Storage  Modeling  Optimization Résumé : A multiperiod stochastic programming model is developed for planning a carbon capture and storage (CCS) infrastructure including CO2 utilization and disposal in an uncertain environment and with a time-varying investment environment. An inexact two-stage stochastic programming approach is used to analyze the effect of possible uncertainties in product prices, operating costs, and CO2 emissions. The proposed model determines where and how much CO2 to capture, store, transport, utilize, or sequester for the purpose of maximizing the total profit of handling the uncertainty while meeting the CO2 mitigation target during each time period of a given planning interval. The capability of the proposed model to provide correct decisions despite a changing uncertain environment is tested by applying it to designing and operating the future CCS infrastructure on the eastern coast of Korea over a 20-year planning interval (2011―2030). ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26324793 [article] Multiperiod stochastic optimization model for carbon capture and storage infrastructure under uncertainty in CO2 emissions, product prices, and operating costs [texte imprimé] / Jee-Hoon Han, Auteur ; In-Beum Lee, Auteur . - 2012 . - pp. 11445-11457. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 35 (Septembre 2012) . - pp. 11445-11457 Mots-clés : Carbon  dioxide  Uncertainty  Storage  Modeling  Optimization Résumé : A multiperiod stochastic programming model is developed for planning a carbon capture and storage (CCS) infrastructure including CO2 utilization and disposal in an uncertain environment and with a time-varying investment environment. An inexact two-stage stochastic programming approach is used to analyze the effect of possible uncertainties in product prices, operating costs, and CO2 emissions. The proposed model determines where and how much CO2 to capture, store, transport, utilize, or sequester for the purpose of maximizing the total profit of handling the uncertainty while meeting the CO2 mitigation target during each time period of a given planning interval. The capability of the proposed model to provide correct decisions despite a changing uncertain environment is tested by applying it to designing and operating the future CCS infrastructure on the eastern coast of Korea over a 20-year planning interval (2011―2030). ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26324793

Two - stage stochastic programming model for planning CO2 utilization and disposal infrastructure considering the uncertainty in the CO2 emission / Jee-Hoon Han in Industrial & engineering chemistry research, Vol. 50 N° 23 (Décembre 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 23 (Décembre 2011) . - pp. 13435-13443 Titre : Two - stage stochastic programming model for planning CO2 utilization and disposal infrastructure considering the uncertainty in the CO2 emission Type de document : texte imprimé Auteurs : Jee-Hoon Han, Auteur ; In-Beum Lee, Auteur Année de publication : 2012 Article en page(s) : pp. 13435-13443 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Mathematical  programming  Uncertainty  Carbon  dioxide  Planning  Modeling  Stochastic  programming Résumé : Numerous research works have been undertaken to plan carbon capture and storage (CCS) infrastructures for CO2 utilization and disposal. CO2 emissions are difficult to estimate precisely, because CO2 is emitted from various sources at varying rates. In this study, a two-stage stochastic programming model is developed for planning CCS infrastructure including CO2 utilization and disposal under stochastic CO2 emissions. The proposed model considers uncertainties in the variation of CO2 emissions. It can help determine where and how much CO2 to capture, store, transport, utilize, or sequester for the purpose of maximizing the total profit of handling uncertain CO2 emissions while meeting the CO2 mitigation target. The capability of the proposed model to provide correct decisions despite changing CO2 emissions is tested by applying it to an industrial complex on the eastern coast of Korea in 2020. The results will help to determine planning of, and budgeting for, development of a CCS infrastructure. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25267502 [article] Two - stage stochastic programming model for planning CO2 utilization and disposal infrastructure considering the uncertainty in the CO2 emission [texte imprimé] / Jee-Hoon Han, Auteur ; In-Beum Lee, Auteur . - 2012 . - pp. 13435-13443. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 23 (Décembre 2011) . - pp. 13435-13443 Mots-clés : Mathematical  programming  Uncertainty  Carbon  dioxide  Planning  Modeling  Stochastic  programming Résumé : Numerous research works have been undertaken to plan carbon capture and storage (CCS) infrastructures for CO2 utilization and disposal. CO2 emissions are difficult to estimate precisely, because CO2 is emitted from various sources at varying rates. In this study, a two-stage stochastic programming model is developed for planning CCS infrastructure including CO2 utilization and disposal under stochastic CO2 emissions. The proposed model considers uncertainties in the variation of CO2 emissions. It can help determine where and how much CO2 to capture, store, transport, utilize, or sequester for the purpose of maximizing the total profit of handling uncertain CO2 emissions while meeting the CO2 mitigation target. The capability of the proposed model to provide correct decisions despite changing CO2 emissions is tested by applying it to an industrial complex on the eastern coast of Korea in 2020. The results will help to determine planning of, and budgeting for, development of a CCS infrastructure. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25267502