2021
DOI: 10.1016/j.jobe.2021.102535
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Enhancing energy efficiency and comfort in buildings through model predictive control for dynamic façades with electrochromic glazing

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Cited by 24 publications
(9 citation statements)
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“…In particular, in this study, the authors considered four different states (fully clear, intermediate 1, intermediate 2, and fully dark) of the selected smart windows and three different strategies controlling their states. The design of control strategies plays a fundamental role in the performance of smart windows [59]. Rule-based control strategies are the most commonly employed control algorithms for the management of smart windows; they are formulated to enable operations where, if a condition occurs, a given control action is applied.…”
Section: Proposed Alternative Building Configurationsmentioning
confidence: 99%
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“…In particular, in this study, the authors considered four different states (fully clear, intermediate 1, intermediate 2, and fully dark) of the selected smart windows and three different strategies controlling their states. The design of control strategies plays a fundamental role in the performance of smart windows [59]. Rule-based control strategies are the most commonly employed control algorithms for the management of smart windows; they are formulated to enable operations where, if a condition occurs, a given control action is applied.…”
Section: Proposed Alternative Building Configurationsmentioning
confidence: 99%
“…The smart windows' controls and the corresponding threshold values associated with the above-mentioned case studies are summarized in Table 8; such values have been defined according to Isaia et al [59].…”
Section: Building Configuration a With Smart Windows (Sws)mentioning
confidence: 99%
“…Isaia et al have recently developed an innovative and efficient MPC (Isaia, Fiorentini , Serra, & Capozzoli , 2021), demonstrating its effectiveness in managing EC windows. This method successfully considers both continuous and discrete variables, resolving conflicting requirements and outperforming traditional rule-based controllers in key areas such as energy consumption, peak power, and discomfort hours.…”
Section: Rule-based Control Strategies For Smart Glazing Systemsmentioning
confidence: 99%
“…Precedent studies are mainly focused on using MPC for regulating the temperature and HVAC systems for the energy-saving purpose and thermal comfort [29], while controlling dynamic shading and lighting systems for providing both energy and comfort remained less investigated [14,31,32]. Favoino et al [26] studied optimal control and performance of switchable glazing in temperate climates and concluded that more advanced control strategies (such as reactive and predictive control) show a higher potential in energy saving while providing visual comfort.…”
Section: Model Predictive Control (Mpc)mentioning
confidence: 99%
“…Recently, Isaia et al [32] showed enhancing energy efficiency and comfort in buildings is possible by using a Hybrid-model predictive control for switchable EC glazing. In theoretical investigations, discrete and switched systems are controlled with Hybrid-MPC methods, combining continuous and discrete states.…”
Section: Model Predictive Control (Mpc)mentioning
confidence: 99%