Gololo, KVMajozi, T2014-08-272014-08-272010-10Gololo, K.V and Majozi, T. 2010. Process integration: Cooling water systems design. In: 13th Asia Pacific Confederation of Chemical Engineering Congress (APCChE 2010), Taipei, Taiwan, 5-8 October 2010http://hdl.handle.net/10204/763913th Asia Pacific Confederation of Chemical Engineering Congress (APCChE 2010), Taipei, Taiwan, 5-8 October 2010This 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 results in a nonlinear program (NLP) formulation and the second case yields mixed integer nonlinear program (MINLP). In both cases the cooling towers operating capacity were debottlenecked without compromising the heat duties.enMathemetical optimizationCooling water systemCooling towerHeat exchanger networkConference PresentationGololo, K., & Majozi, T. (2010). Process integration: Cooling water systems design. http://hdl.handle.net/10204/7639Gololo, KV, and T Majozi. "Process integration: Cooling water systems design." (2010): http://hdl.handle.net/10204/7639Gololo K, Majozi T, Process integration: Cooling water systems design; 2010. http://hdl.handle.net/10204/7639 .TY - Conference Presentation AU - Gololo, KV AU - Majozi, T AB - 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 results in a nonlinear program (NLP) formulation and the second case yields mixed integer nonlinear program (MINLP). In both cases the cooling towers operating capacity were debottlenecked without compromising the heat duties. DA - 2010-10 DB - ResearchSpace DP - CSIR KW - Mathemetical optimization KW - Cooling water system KW - Cooling tower KW - Heat exchanger network LK - https://researchspace.csir.co.za PY - 2010 T1 - Process integration: Cooling water systems design TI - Process integration: Cooling water systems design UR - http://hdl.handle.net/10204/7639 ER -