Global optimisation of chiller sequencing and load balancing using Shuffled Complex Evolution
AuthorStewart, I; Aye, L; Peterson, T
Source TitleAIRAH and IBPSA’s Australasian Building Simulation 2017 Conference
PublisherInternational Building Performance Simulation Association & AIRAH
Melbourne University Sport
Document TypeConference Paper
CitationsStewart, I., Aye, L. & Peterson, T. (2017). Global optimisation of chiller sequencing and load balancing using Shuffled Complex Evolution. AIRAH and IBPSA’s Australasian Building Simulation 2017 Conference, pp.1-9. International Building Performance Simulation Association & AIRAH.
Access StatusOpen Access
Open Access URLhttp://www.airah.org.au/Content_Files/Conferences/2017/Building-simulation/ABSC2017_TP_IainStewart.pdf
A new model has been developed to optimise the sequencing and load balancing of chillers in the central plants of commercial buildings with multiple water-cooled chillers. The model uses the Shuffled Complex Evolution optmisation algorithm to minimise the total energy consumptions of chillers and pumps by maximising the whole system (central plant) coefficient of performance under a known discrete cooling load. Two commercial buildings in Melbourne’s CBD were simulated as case studies to assess the validity and effectiveness of the model. The control strategies identified by the model performed better than the existing configuration in both cases, reducing energy consumption by 12.2% and 16.6% when compared to the observed energy data for 2016.
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