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Fluids 2018, 3(4), 101;

A Method toward Real-Time CFD Modeling for Natural Ventilation

Harvard Center for Green Buildings and Cities, Harvard University, Cambridge, 02138 MA, USA
Author to whom correspondence should be addressed.
Received: 24 September 2018 / Revised: 19 November 2018 / Accepted: 26 November 2018 / Published: 1 December 2018
(This article belongs to the Special Issue Ventilation and Passive Cooling for Healthy and Comfortable Buildings)
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Natural ventilation is often used as a passive technology to reduce building energy consumption. To leverage the rule-based natural ventilation control to more advanced control at multiple spatial scales, mathematical modeling is needed to calculate the real-time ventilation rate, indoor air temperatures, and velocities at high spatial resolution. This study aims to develop a real-time mathematical modeling framework based on computational fluid dynamics (CFD). The real-time concept is implemented by using real-time sensor data, e.g., wall surface temperatures as boundary conditions, while data assimilation is employed to implement real-time self-calibration. The proof of concept is demonstrated by a case study using synthetic data. The results show that the modeling framework can adequately predict real-time ventilation rates and indoor air temperatures. The data assimilation method can nudge the simulated air velocities toward the observed values to continuously calibrate the model. The real-time CFD modeling framework will be further tested by the real-time sensor data once building construction is fully completed. View Full-Text
Keywords: zero energy; natural ventilation; sensor network; data assimilation; nudging zero energy; natural ventilation; sensor network; data assimilation; nudging

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Wu, W.; Wang, B.; Malkawi, A.; Yoon, N.; Sehovic, Z.; Yan, B. A Method toward Real-Time CFD Modeling for Natural Ventilation. Fluids 2018, 3, 101.

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