Paper Conference

Proceedings of eSim 2016: 9th Conference of IBPSA-Canada


HVAC control and demand management development using smart predictive operational strategies

Nima Alibabaei, Alan Fung, Kaamran Taahemifar, Farah Mohammadi, Xavier Fernando

Abstract: Residential houses (RHs) present great opportunity for managing/controlling electric demand at the user side. Demand management can be achieved by taking advantage of advanced predictive strategy planning models (SPMs) implemented on the heating, ventilating and air conditioning (HVAC) system as one of the largest energy consumer in the residential houses. However, implementing these predictive SPMs on the building energy simulators is challenging since these simulators are not inherently equipped with advanced control tools and mechanisms. This article discusses the development of a Matlab-TRNSYS co-simulator that allows TRNSYS program to implement different advanced predictive SPMs including Load Shifting (LSH), Smart Dual Fuel Switching System (SDFSS), and LSHSDFSS, as the combination of fuel switching and load shifting strategy planning models, on the case study house HVAC system. The development of each advanced predictive SPM is described in details in this paper.
Pages: 371 - 377