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Heat integration in multipurpose batch plants using a robust scheduling framework

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dc.contributor.author Seid, ER
dc.contributor.author Majozi, T
dc.date.accessioned 2014-09-05T12:54:30Z
dc.date.available 2014-09-05T12:54:30Z
dc.date.issued 2014-07
dc.identifier.citation Seid, E.R and Majozi, T. 2014. Heat integration in multipurpose batch plants using a robust scheduling framework. Energy, vol. 71, pp 302-320 en_US
dc.identifier.issn 0360-5442
dc.identifier.uri http://ac.els-cdn.com/S036054421400471X/1-s2.0-S036054421400471X-main.pdf?_tid=e6bc0374-334e-11e4-9c10-00000aab0f02&acdnat=1409737650_b7e1974780814b41e1891fbe04ed95ba
dc.identifier.uri http://hdl.handle.net/10204/7655
dc.description Copyright: 2014 Elsevier. This is the post print version of the work. The definitive version is published in Energy, vol. 71, pp 302-320 en_US
dc.description.abstract Energy saving is becoming increasingly important in batch processing facilities. Multipurpose batch plants have become more popular than ever in the processing environment due to their inherent flexibility and adaptability to market conditions, even though the same flexibility may lead to complexities such as the need to schedule process tasks. These are important features to producing high value added products such as agrochemicals, pharmaceuticals, polymers, food and specialty chemicals where the demand has grown in recent decades. Many current heat integration methods for multipurpose batch plants use a sequential methodology where the schedule is solved first followed by heat integration. This can lead to suboptimal results. In this paper, the heat integration model is built upon a robust scheduling framework. This scheduling formulation has proven to lead to better results in terms of better objective values, fewer required time points and reduced computational time. This is important as inclusion of heat integration into a scheduling model invariably complicates the solution process. The improved scheduling model allows the consideration of industrial sized problems to simultaneously optimize both the process schedule and energy usage. Both direct and indirect heat integration are considered as well as fixed and variable batch sizes. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Workflow;13344
dc.subject Heat integration en_US
dc.subject Scheduling en_US
dc.subject Multipurpose batch plants en_US
dc.subject Energy optimization en_US
dc.title Heat integration in multipurpose batch plants using a robust scheduling framework en_US
dc.type Article en_US
dc.identifier.apacitation Seid, E., & Majozi, T. (2014). Heat integration in multipurpose batch plants using a robust scheduling framework. http://hdl.handle.net/10204/7655 en_ZA
dc.identifier.chicagocitation Seid, ER, and T Majozi "Heat integration in multipurpose batch plants using a robust scheduling framework." (2014) http://hdl.handle.net/10204/7655 en_ZA
dc.identifier.vancouvercitation Seid E, Majozi T. Heat integration in multipurpose batch plants using a robust scheduling framework. 2014; http://hdl.handle.net/10204/7655. en_ZA
dc.identifier.ris TY - Article AU - Seid, ER AU - Majozi, T AB - Energy saving is becoming increasingly important in batch processing facilities. Multipurpose batch plants have become more popular than ever in the processing environment due to their inherent flexibility and adaptability to market conditions, even though the same flexibility may lead to complexities such as the need to schedule process tasks. These are important features to producing high value added products such as agrochemicals, pharmaceuticals, polymers, food and specialty chemicals where the demand has grown in recent decades. Many current heat integration methods for multipurpose batch plants use a sequential methodology where the schedule is solved first followed by heat integration. This can lead to suboptimal results. In this paper, the heat integration model is built upon a robust scheduling framework. This scheduling formulation has proven to lead to better results in terms of better objective values, fewer required time points and reduced computational time. This is important as inclusion of heat integration into a scheduling model invariably complicates the solution process. The improved scheduling model allows the consideration of industrial sized problems to simultaneously optimize both the process schedule and energy usage. Both direct and indirect heat integration are considered as well as fixed and variable batch sizes. DA - 2014-07 DB - ResearchSpace DP - CSIR KW - Heat integration KW - Scheduling KW - Multipurpose batch plants KW - Energy optimization LK - https://researchspace.csir.co.za PY - 2014 SM - 0360-5442 T1 - Heat integration in multipurpose batch plants using a robust scheduling framework TI - Heat integration in multipurpose batch plants using a robust scheduling framework UR - http://hdl.handle.net/10204/7655 ER - en_ZA


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