ResearchSpace

On synthesis and optimization of cooling water systems with multiple cooling towers

Show simple item record

dc.contributor.author Gololo, KV
dc.contributor.author Majozi, T
dc.date.accessioned 2011-12-13T10:11:55Z
dc.date.available 2011-12-13T10:11:55Z
dc.date.issued 2011-01
dc.identifier.citation Gololo, KV and Majozi, T. 2011. On synthesis and optimization of cooling water systems with multiple cooling towers. Industrial & Engineering Chemistry Research, Vol 50(7), pp 3775–3787 en_US
dc.identifier.issn 0888-5885
dc.identifier.uri http://pubs.acs.org/doi/abs/10.1021/ie101395v
dc.identifier.uri http://hdl.handle.net/10204/5394
dc.description Copyright: 2011 American Chemical Society. This is an ABSTRACT ONLY en_US
dc.description.abstract Cooling water systems are generally designed with a set of heat exchangers arranged in parallel. This arrangement results in higher cooling water flow rate and low cooling water return temperature, thus reducing cooling tower efficiency. Previous research on cooling water systems has focused mainly on heat exchanger network thus excluding the interaction between heat exchanger network and the cooling towers. This paper presents a technique for grassroot design of cooling water system for wastewater minimization, which incorporates the performances of the cooling towers involved. The study focuses mainly on cooling systems consisting of multiple cooling towers that supply a common set of heat exchangers. The heat exchanger network is synthesized using the mathematical optimization technique. This technique is based on superstructure in which all opportunities for cooling water reuse are explored. The cooling tower model is used to predict the thermal performance of the cooling towers. Two case studies are presented to illustrate the proposed technique. The first case resulted in nonlinear programming (NLP) formulation and the second case yield mixed integer nonlinear programming (MINLP). The nonlinearity in both cases is because of the bilinear terms present in the energy balance constraints. In both cases, the cooling towers operating capacity were debottlenecked without compromising the heat duties. en_US
dc.language.iso en en_US
dc.publisher American Chemical Society en_US
dc.relation.ispartofseries Workflow request;7719
dc.subject Cooling water systems en_US
dc.subject Multiple cooling towers en_US
dc.subject Wastewater minimization en_US
dc.subject Water reuse en_US
dc.subject Cooling towers en_US
dc.subject Waste water en_US
dc.subject Engineering chemistry en_US
dc.title On synthesis and optimization of cooling water systems with multiple cooling towers en_US
dc.type Article en_US
dc.identifier.apacitation Gololo, K., & Majozi, T. (2011). On synthesis and optimization of cooling water systems with multiple cooling towers. http://hdl.handle.net/10204/5394 en_ZA
dc.identifier.chicagocitation Gololo, KV, and T Majozi "On synthesis and optimization of cooling water systems with multiple cooling towers." (2011) http://hdl.handle.net/10204/5394 en_ZA
dc.identifier.vancouvercitation Gololo K, Majozi T. On synthesis and optimization of cooling water systems with multiple cooling towers. 2011; http://hdl.handle.net/10204/5394. en_ZA
dc.identifier.ris TY - Article AU - Gololo, KV AU - Majozi, T AB - Cooling water systems are generally designed with a set of heat exchangers arranged in parallel. This arrangement results in higher cooling water flow rate and low cooling water return temperature, thus reducing cooling tower efficiency. Previous research on cooling water systems has focused mainly on heat exchanger network thus excluding the interaction between heat exchanger network and the cooling towers. This paper presents a technique for grassroot design of cooling water system for wastewater minimization, which incorporates the performances of the cooling towers involved. The study focuses mainly on cooling systems consisting of multiple cooling towers that supply a common set of heat exchangers. The heat exchanger network is synthesized using the mathematical optimization technique. This technique is based on superstructure in which all opportunities for cooling water reuse are explored. The cooling tower model is used to predict the thermal performance of the cooling towers. Two case studies are presented to illustrate the proposed technique. The first case resulted in nonlinear programming (NLP) formulation and the second case yield mixed integer nonlinear programming (MINLP). The nonlinearity in both cases is because of the bilinear terms present in the energy balance constraints. In both cases, the cooling towers operating capacity were debottlenecked without compromising the heat duties. DA - 2011-01 DB - ResearchSpace DP - CSIR KW - Cooling water systems KW - Multiple cooling towers KW - Wastewater minimization KW - Water reuse KW - Cooling towers KW - Waste water KW - Engineering chemistry LK - https://researchspace.csir.co.za PY - 2011 SM - 0888-5885 T1 - On synthesis and optimization of cooling water systems with multiple cooling towers TI - On synthesis and optimization of cooling water systems with multiple cooling towers UR - http://hdl.handle.net/10204/5394 ER - en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record