Documents disponibles écrits par cet auteur

Developing a cost minimizing power load prediction model for steelwork industries / Jun-Hyung Ryu in Industrial & engineering chemistry research, Vol. 49 N° 8 (Avril 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 8 (Avril 2010) . - pp. 3952–3956 Titre : Developing a cost minimizing power load prediction model for steelwork industries Type de document : texte imprimé Auteurs : Jun-Hyung Ryu, Auteur ; Dong Joon Yoo, Auteur ; In-Beum Lee, Auteur Année de publication : 2010 Article en page(s) : pp. 3952–3956 Langues : Anglais (eng) Mots-clés : Minimizing  Power  Steelwork  Industries Résumé : The key issue of power systems is to match power demand and supply with the minimum gap and delay. In the steelmaking industry that is well-known for intensive power demand, multiple types of power supply sources are thus prepared. One is to use gas turbine generators consuming byproduct gases, another is to purchase power from external electricity companies, and yet another is to use in-house self-generators to prevent any interruptions. Because we have to prepare the power supply before demands are actually realized, the fuels for generators should be purchased based upon a relatively long-term plan, and redundant power should be consumed by being resold or in other ways. It is economically important to predict power load accurately for the profitability of the steelworks. A load prediction model is therefore mathematically formulated as a linear programming (LP) problem with a view to minimizing the overall power cost. A case of an actual steelmaking company in Korea is addressed to illustrate the applicability of the proposed model with some remarks. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900227e [article] Developing a cost minimizing power load prediction model for steelwork industries [texte imprimé] / Jun-Hyung Ryu, Auteur ; Dong Joon Yoo, Auteur ; In-Beum Lee, Auteur . - 2010 . - pp. 3952–3956. Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 8 (Avril 2010) . - pp. 3952–3956 Mots-clés : Minimizing  Power  Steelwork  Industries Résumé : The key issue of power systems is to match power demand and supply with the minimum gap and delay. In the steelmaking industry that is well-known for intensive power demand, multiple types of power supply sources are thus prepared. One is to use gas turbine generators consuming byproduct gases, another is to purchase power from external electricity companies, and yet another is to use in-house self-generators to prevent any interruptions. Because we have to prepare the power supply before demands are actually realized, the fuels for generators should be purchased based upon a relatively long-term plan, and redundant power should be consumed by being resold or in other ways. It is economically important to predict power load accurately for the profitability of the steelworks. A load prediction model is therefore mathematically formulated as a linear programming (LP) problem with a view to minimizing the overall power cost. A case of an actual steelmaking company in Korea is addressed to illustrate the applicability of the proposed model with some remarks. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900227e

Development of an agent - based modeling methodology for an industrial byproduct exchange network design / Hyunjoo Kim in Industrial & engineering chemistry research, Vol. 51 N° 33 (Août 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 33 (Août 2012) . - pp. 10860-10868 Titre : Development of an agent - based modeling methodology for an industrial byproduct exchange network design Type de document : texte imprimé Auteurs : Hyunjoo Kim, Auteur ; Jun-Hyung Ryu, Auteur ; In-Beum Lee, Auteur Année de publication : 2012 Article en page(s) : pp. 10860-10868 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Design  Modeling Résumé : Byproduct exchange networks are attracting increasing attention to allow the use of byproducts that would have otherwise been discarded. To take full advantage of the benefits, it is necessary to consider the interacting features between the participating byproduct buyers and sellers in terms of both economic and environmental perspectives. This paper proposes an agent-based modeling framework as an alternative. A case of water reuse networks in an iron and steel manufacturing industrial park is presented to illustrate the applicability of the proposed framework. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26286460 [article] Development of an agent - based modeling methodology for an industrial byproduct exchange network design [texte imprimé] / Hyunjoo Kim, Auteur ; Jun-Hyung Ryu, Auteur ; In-Beum Lee, Auteur . - 2012 . - pp. 10860-10868. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 33 (Août 2012) . - pp. 10860-10868 Mots-clés : Design  Modeling Résumé : Byproduct exchange networks are attracting increasing attention to allow the use of byproducts that would have otherwise been discarded. To take full advantage of the benefits, it is necessary to consider the interacting features between the participating byproduct buyers and sellers in terms of both economic and environmental perspectives. This paper proposes an agent-based modeling framework as an alternative. A case of water reuse networks in an iron and steel manufacturing industrial park is presented to illustrate the applicability of the proposed framework. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26286460

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) 

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