Optimal Control Strategies for Switchable Roof Insulation Systems Applied to ... - 数学建模社区-数学中国

seen an increase interest in the literature. Unlike static insulation, switchable insulation
systems (SISs) have the ability to adjust the thermal properties of envelope elements.
Advanced control strategies for SISs are evaluated in this analysis using genetic algorithm-
based optimization techniques. In particular, this study investigates the potential
heating and cooling energy savings for deploying optimal controls specific to SIS technologies
when applied to residential roofs located in representative US climates. Moreover,
energy use and peak demand savings obtained by optimal controls are compared with
those obtained from the 2-step rule-based controls. Overall, the analysis results indicate
that the maximum monthly additional savings obtained by optimal controls can reach up
to 32% compared with 2-step rule sets when an annual analysis is conducted for a residential
building located in Golden, CO. [DOI: 10.1115/1.4048561]