2022
DOI: 10.1016/j.jobe.2021.103942
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Shape-programmable fluid bubbles for responsive building skins

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Cited by 4 publications
(7 citation statements)
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“…We also repeated the simulation but with a switchable NIR-selective absorbing fluid state (0.0156 mg carbon/mL water). Operationally, we used a simple control algorithm ( 56 ) to instantaneously “inject” the absorbing fluid at hourly timesteps when the interior space needed to be cooled (i.e., when indoor temperature > setpoint temperature). The shading fluid absorbs light that would otherwise be converted to excess heat indoors.…”
Section: Resultsmentioning
confidence: 99%
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“…We also repeated the simulation but with a switchable NIR-selective absorbing fluid state (0.0156 mg carbon/mL water). Operationally, we used a simple control algorithm ( 56 ) to instantaneously “inject” the absorbing fluid at hourly timesteps when the interior space needed to be cooled (i.e., when indoor temperature > setpoint temperature). The shading fluid absorbs light that would otherwise be converted to excess heat indoors.…”
Section: Resultsmentioning
confidence: 99%
“…S7 , other details in SI Appendix and ref. 56 ). We modeled the EC window to switch between four standard states, the RS between two standard states (up and down), and our fluid multilayer to switch between all combinatorial possibilities of 16 total fluids across three distinct layers (all base state optical properties in Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…We leveraged a standard control algorithm that we previously developed 76 to simulate the operation of each dynamic system (ii–iv). The algorithm functions as a naïve energy minimizer, restricted to consistently maintain an illuminance of 300 lux (minimum sufficient daylighting) across half of the floor area, and limit an illuminance of 3000 lux (overlighting correlated with an increased likelihood of visual glare) to 10% of the floor area.…”
Section: Resultsmentioning
confidence: 99%
“…Known as the Saffman-Taylor (viscous fingering) instability, liquid patterns emerge due to small perturbations in their flow. These perturbations can propagate along the multifluid interface, forming fractal-like branching features [ 33 36 ].…”
Section: Introductionmentioning
confidence: 99%