dc.contributor.author |
Gololo, KV
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|
dc.contributor.author |
Majozi, T
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dc.date.accessioned |
2014-04-10T12:52:03Z |
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dc.date.available |
2014-04-10T12:52:03Z |
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dc.date.issued |
2012-12 |
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dc.identifier.citation |
Gololo, K.V and Majozi, T. 2012. Complex cooling water systems optimization with pressure drop consideration. Industrial & Engineering Chemistry Research, vol. 52(22), pp 7056-7065 |
en_US |
dc.identifier.issn |
0888-5885 |
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dc.identifier.uri |
http://pubs.acs.org/doi/abs/10.1021/ie302498j
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dc.identifier.uri |
http://hdl.handle.net/10204/7318
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dc.description |
Copyright: 2012 ACS Publications. This is an ABSTRACT ONLY. The definitive version is published in Industrial & Engineering Chemistry Research, vol. 52(22), pp 7056-7065 |
en_US |
dc.description.abstract |
Pressure drop consideration has shown to be an essential requirement for the synthesis of a cooling water network where reuse/recycle philosophy is employed. This is due to an increased network pressure drop associated with additional reuse/recycle streams. This paper presents a mathematical technique for pressure drop optimization in cooling water systems consisting of multiple cooling towers. The proposed technique is based on the Critical Path Algorithm (CPA) and the superstructural approach. The CPA is used to select the cooling water network with minimum pressure drop while the superstructure allows for reuse of the cooling water. The proposed technique offers the opportunity to debottleneck the cooling water systems with multiple cooling towers while maintaining a minimum pressure drop. This technique, which was previously used in a cooling water network with a single source, has been adapted in a cooling water network with multiple sources. The mathematical formulations exhibit a mixed-integer nonlinear programming (MINLP) structure. The cooling tower model is used to predict the exit conditions of the cooling towers, given the inlet conditions from the cooling water network model. The case studies showed that the circulating cooling water flow rate can be reduced by up to 26% at a minimum cooling water network pressure drop. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
ACS Publications |
en_US |
dc.relation.ispartofseries |
Workflow;12245 |
|
dc.subject |
Pressure drop consideration |
en_US |
dc.subject |
Cooling water network model |
en_US |
dc.subject |
Critical Path Algorithm |
en_US |
dc.subject |
CPA |
en_US |
dc.title |
Complex cooling water systems optimization with pressure drop consideration |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Gololo, K., & Majozi, T. (2012). Complex cooling water systems optimization with pressure drop consideration. http://hdl.handle.net/10204/7318 |
en_ZA |
dc.identifier.chicagocitation |
Gololo, KV, and T Majozi "Complex cooling water systems optimization with pressure drop consideration." (2012) http://hdl.handle.net/10204/7318 |
en_ZA |
dc.identifier.vancouvercitation |
Gololo K, Majozi T. Complex cooling water systems optimization with pressure drop consideration. 2012; http://hdl.handle.net/10204/7318. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Gololo, KV
AU - Majozi, T
AB - Pressure drop consideration has shown to be an essential requirement for the synthesis of a cooling water network where reuse/recycle philosophy is employed. This is due to an increased network pressure drop associated with additional reuse/recycle streams. This paper presents a mathematical technique for pressure drop optimization in cooling water systems consisting of multiple cooling towers. The proposed technique is based on the Critical Path Algorithm (CPA) and the superstructural approach. The CPA is used to select the cooling water network with minimum pressure drop while the superstructure allows for reuse of the cooling water. The proposed technique offers the opportunity to debottleneck the cooling water systems with multiple cooling towers while maintaining a minimum pressure drop. This technique, which was previously used in a cooling water network with a single source, has been adapted in a cooling water network with multiple sources. The mathematical formulations exhibit a mixed-integer nonlinear programming (MINLP) structure. The cooling tower model is used to predict the exit conditions of the cooling towers, given the inlet conditions from the cooling water network model. The case studies showed that the circulating cooling water flow rate can be reduced by up to 26% at a minimum cooling water network pressure drop.
DA - 2012-12
DB - ResearchSpace
DP - CSIR
KW - Pressure drop consideration
KW - Cooling water network model
KW - Critical Path Algorithm
KW - CPA
LK - https://researchspace.csir.co.za
PY - 2012
SM - 0888-5885
T1 - Complex cooling water systems optimization with pressure drop consideration
TI - Complex cooling water systems optimization with pressure drop consideration
UR - http://hdl.handle.net/10204/7318
ER -
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en_ZA |