Superstructural approach to the synthesis of free-cooling system through an integrated chilled and cooling water network

Abstract Chillers are major energy consumers in industrial facilities. They are indispensable in such industries as semiconductor fabrication, food processing, and plastics manufacturing, among others. Previous studies aimed at improving the energy efficiency of chilled water systems have focused on optimizing the performance of individual chillers. However, an alternative method to recover energy is to perform system-wide water source/sink integration using a superstructural approach. In our previous study, several schemes for chilled and cooling water systems (CCWS) with hub topology were proposed for energy savings. The main contribution of this study is in the development of a methodology to achieve energy savings by introducing free cooling in an integrated superstructure for CCWS. Two examples are used to demonstrate three different scenarios of CCWS with free cooling. It is shown that the integration of free cooling into chilled water system improve the cost and energy saving significantly, and can avoid the need to invest in a new chiller and/or cooling tower to enhance the energy efficiency of CCWS.

[1]  Cheng-Liang Chen,et al.  Synthesis and design of chilled water networks using mathematical optimization , 2013 .

[2]  Wen-Shing Lee,et al.  Optimal chiller loading by differential evolution algorithm for reducing energy consumption , 2011 .

[3]  Jose M. Pinto,et al.  Minimization of Operational Costs in Cooling Water Systems , 2000 .

[4]  Linus Schrage,et al.  Implementation and Testing of a Branch-and-Bound Based Method for Deterministic Global Optimization: Operations Research Applications , 2004 .

[5]  Zhang Hainan,et al.  Free cooling of data centers: A review , 2014 .

[6]  Mahmoud M. El-Halwagi,et al.  Synthesis of cooling water systems with multiple cooling towers , 2013 .

[7]  Shih-Cheng Hu,et al.  Power consumption of semiconductor fabs in Taiwan , 2003 .

[8]  Arturo Jiménez-Gutiérrez,et al.  Optimization model for re-circulating cooling water systems , 2010, Comput. Chem. Eng..

[9]  Arman Shehabi,et al.  Can combining economizers with improved filtration save energy and protect equipment in data centers? - eScholarship , 2009 .

[10]  Thokozani Majozi,et al.  Simultaneous targeting and design for cooling water systems with multiple cooling water supplies , 2008, Comput. Chem. Eng..

[11]  Robin Smith,et al.  Chemical Process: Design and Integration , 2005 .

[12]  Bin Wang,et al.  Recirculating Cooling-Water Network with an Intermediate Cooling-Water Main , 2005 .

[13]  Lung-Chieh Lin,et al.  Optimal Chiller Loading by Team Particle Swarm Algorithm for Reducing Energy Consumption , 2009, Energies.

[14]  Lal Jayamaha Energy-Efficient Building Systems: Green Strategies for Operation and Maintenance , 2006 .

[15]  Don W. Green,et al.  Perry's Chemical Engineers' Handbook , 2007 .

[16]  Kuppan Thulukkanam Heat Exchanger Design Handbook , 2013 .

[17]  Raymond R. Tan,et al.  Optimization of Chilled and Cooling Water Systems in a Centralized Utility Hub , 2014 .

[18]  Thokozani Majozi,et al.  On cooling-water systems design for South African industry: Two recent developments , 2007 .

[19]  Donal Finn,et al.  Heat transfer correlations for low approach evaporative cooling systems in buildings , 2009 .

[20]  Raymond R. Tan,et al.  Fuzzy analytic hierarchy process and targeting for inter-plant chilled and cooling water network synthesis , 2016 .

[21]  Giorgia F. Cortinovis,et al.  A systemic approach for optimal cooling tower operation , 2009 .

[22]  Robin Smith,et al.  Automated retrofit design of cooling‐water systems , 2003 .

[23]  Arturo Jiménez-Gutiérrez,et al.  MINLP synthesis of optimal cooling networks , 2007 .

[24]  Ahmad R. Ganji,et al.  Energy Efficiency Opportunities in Fresh Fruit and Vegetable Processing/Cold Storage Facilities , 2005 .

[25]  Yung-Chung Chang,et al.  A novel energy conservation method—optimal chiller loading , 2004 .

[26]  Denny K. S. Ng,et al.  Targeting and design of chilled water network , 2014 .

[27]  Yung-Chung Chang,et al.  Genetic algorithm based optimal chiller loading for energy conservation , 2005 .

[28]  Giorgia F. Cortinovis,et al.  Integrated analysis of cooling water systems: Modeling and experimental validation , 2009 .