How can we simulate the Bi-directional flow and time-variant heat exchange ventilation system?

Choi, Younhee; beungyong, Park; Park, Sowoo; Song, Doosam

doi:10.1016/j.applthermaleng.2020.115948

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…Time varying systems can be represented with reduced-order polynomial models of the system which are then used to simulate the essential characteristics of the system and have demonstrated considerable improvement over traditional ODE solvers showing 6 -9 times speed up in simulating electrical circuits [9], and applied to ventillaotr simulation [8] and hydrological Karst model [10]. However, these works are application specific and do not provide a closed form relation of speed-up with accuracy.…”

Section: Related Workmentioning

confidence: 99%

High Fidelity Fast Simulation of Human in the Loop Human in the Plant (HIL-HIP) systems

Banerjee,

Kamboj,

Maity

et al. 2023

Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems

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Non-linearities in simulation arise from the time variance in wireless mobile networks when integrated with human in the loop, human in the plant (HIL-HIP) physical systems under dynamic contexts, leading to simulation slowdown. Time variance is handled by deriving a series of piece wise linear time invariant simulations (PLIS) in intervals, which are then concatenated in time domain. In this paper, we conduct a formal analysis of the impact of discretizing time-varying components in wireless network-controlled HIL-HIP systems on simulation accuracy and speedup, and evaluate trade-offs with reliable guarantees. We develop an accurate simulation framework for an artificial pancreas wireless network system that controls blood glucose in Type 1 Diabetes patients with time varying properties such as physiological changes associated with psychological stress and meal patterns. PLIS approach achieves accurate simulation with > 2.1 times speedup than a non-linear system simulation for the given dataset.

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Section: Related Workmentioning

confidence: 99%

High Fidelity Fast Simulation of Human in the Loop Human in the Plant (HIL-HIP) systems

Banerjee,

Kamboj,

Maity

et al. 2023

Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems

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“…Typically, air heating in decentralised façade devices is limited to the use of an aluminium or ceramic accumulation exchanger [139,140], which heats the supply air from the Typically, air heating in decentralised façade devices is limited to the use of an aluminium or ceramic accumulation exchanger [139,140], which heats the supply air from the exhaust air stream. Choi et al [141], investigating decentralised façade units, found that in the case of changing the bidirectional mode, the demand for heating and cooling energy is lower by approximately 20% compared to the simulation of the simultaneous supply and exhaust mode. At the same time, it should be noted that the systems mounted in the façade have lower pressure losses, are easily installed, and require no maintenance.…”

Section: Façade Decentralised Ventilationmentioning

confidence: 99%

Review of IAQ in Premises Equipped with Façade–Ventilation Systems

Zender–Świercz

2021

Atmosphere

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Poor indoor air quality affects the health of the occupants of a given structure or building. It reduces the effectiveness of learning and work efficiency. Among many pollutants, PM 2.5 and 10 dusts are extremely important. They can be eliminated using mechanical ventilation equipped with filters. Façade ventilation devices are used as a way to improve indoor air quality (IAQ) in existing buildings. For their analysis, researchers used carbon dioxide as a tracer gas. They have shown that façade ventilation devices are an effective way to improve IAQ, but require further analysis due to the sensitivity of façade ventilation devices to the effects of wind and outdoor temperature. In addition, legal regulations in some countries require verification in order to enable the use of this type of solution as a way to improve IAQ in an era characterised by the effort to transform buildings into passive houses (standard for energy efficiency in a building).

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An integrated passive dehumidification system with energy recovery ventilation: A comprehensive simulation study

Chen,

Lee,

Ozaki

et al. 2024

Applied Thermal Engineering

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How can we simulate the Bi-directional flow and time-variant heat exchange ventilation system?

Cited by 5 publications

References 14 publications

High Fidelity Fast Simulation of Human in the Loop Human in the Plant (HIL-HIP) systems

High Fidelity Fast Simulation of Human in the Loop Human in the Plant (HIL-HIP) systems

Review of IAQ in Premises Equipped with Façade–Ventilation Systems

An integrated passive dehumidification system with energy recovery ventilation: A comprehensive simulation study

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