Component-Wise Optimization for a Commercial Central Cooling Plant

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dc.contributor.author Vakiloroaya, Vahid en_US
dc.contributor.author Samali, Bijan en_US
dc.contributor.author Madadnia, Jafar en_US
dc.contributor.author Ha, Quang en_US
dc.contributor.editor Xinghuo Yu and Tharam Dillon en_US
dc.date.accessioned 2012-10-12T03:36:34Z
dc.date.available 2012-10-12T03:36:34Z
dc.date.issued 2011 en_US
dc.identifier 2010006163 en_US
dc.identifier.citation Vakiloroaya Vahid et al. 2011, 'Component-Wise Optimization for a Commercial Central Cooling Plant', , IEEE, Piscataway, NJ 08854, , pp. 2686-2691. en_US
dc.identifier.issn 978-1-61284-971-3 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/19322
dc.description.abstract Thermal comfort and energy savings are two main goals of heating, ventilation and air conditioning (HVAC) systems. In this paper, the optimization-simulation approach is proposed for effective energy saving potential in a commercial central cooling plant by refining the model of optimal operation for system components and deriving optimal conditions for their operation subject to technical and human comfort constraints. To investigate the potential of energy savings and air quality, a real-world commercial building, located in a hot and dry climate region, together with its central cooling plant is used for experimentation and data collection. Both inputs and outputs of the existing central cooling plant are measured from the field monitoring in one typical week in the summer. Optimization is performed by using empirically-based models of the central cooling plant components. Optimization algorithms implemented on a transient simulation software package, are used to solve the minimization problem of energy consumption for each considered control strategies and predict the HVAC system optimized set-points under transient load. The integrated simulation tool was validated by comparing predicted and measured power consumption of the chiller during the first day of July. Results show that between 3.2% and 11.8% power savings can be obtained by this approach while maintaining the predicted mean vote (PMV) from -0.5 to +1 for most of the summer time en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/IECON.2011.6119750 en_US
dc.title Component-Wise Optimization for a Commercial Central Cooling Plant en_US
dc.parent Proceedings of The 37th Annual Conf. of the IEEE Industrial Electronics Society (IECON 2011) en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Piscataway, NJ 08854 en_US
dc.identifier.startpage 2686 en_US
dc.identifier.endpage 2691 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 090500 en_US
dc.personcode 11109461 en_US
dc.personcode 870186 en_US
dc.personcode 940739 en_US
dc.personcode 000935 en_US
dc.percentage 100 en_US
dc.classification.name Civil Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society en_US
dc.date.activity 20111107 en_US
dc.location.activity Melbourne, Australia en_US
dc.description.keywords Central Cooling Point, Optimization en_US
dc.staffid en_US
dc.staffid 000935 en_US


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