Wednesday, August 16th, 2017

Multi-objective optimization of HVAC system with an evolutionary computation algorithm

Publication year: 2011brbSource:/b Energy, In Press, Corrected Proof, Available online 26 February 2011brAndrew, Kusiak , Fan, Tang , Guanglin, XubrA data-mining approach for the optimization of a HVAC (heating, ventilation, and air conditioning) system is presented. A predictive model of the HVAC system is derived by data-mining algorithms, using a dataset collected from an experiment conducted at a research facility. To minimize the energy while maintaining the corresponding IAQ (indoor air quality) within a user-defined range, a multi-objective optimization model is developed. The solutions of this model are set points of the control system derived with an evolutionary computation algorithm. The controllable input variables — supply air temperature and supply air duct static pressure set points — are generated…br Research Highlights: ► A data-mining approach for the optimization of a heating, ventilation, and air conditioning (HVAC) system is presented. ► The data used in the project has been collected from an experiment conducted at an energy research facility. ► The approach presented in the paper leads to accomplishing significant energy savings without compromising the indoor air quality. ► The energy savings are accomplished by computing set points for the supply air temperature and the supply air duct static pressure.


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