Development, validation and application of a coupled reduced-order CFD model for building control applications

Abstract

 We show a unique approach for simulating the dynamics of indoor air and envelopes.  The coupled approach enables a fast simulation of open space buildings.  The model is particularly appropriate for control analysis of open space buildings.  The model was validated with experimental data.  A retrofit analysis w.r.t. the change of thermostat locations is shown. AbstractSmall-to-moderate sized commercial buildings commonly use rooftop units (RTUs) to provide indoor comfort. These applications are often characterized by significant spatial variations in comfort due to poor thermostat placement and poor coordination of RTUs leading to high energy and demand costs and marginal comfort. Tools are needed that can assess both energy and comfort performance for these types of applications so that the benefits of improved RTU coordination and control can be evaluated in terms of energy and comfort and so that appropriate real-time strategies can be developed. In this paper we discuss a method for generating and coupling tractable reduced order models for the building envelope and for the indoor air dynamics. Overall assessments of the coupled model are performed for a typical sit down restaurant that employs four rooftop units. Measurements are available from the site to validate the models.

Learning-based robust stabilization for reduced-order models of 2D and 3D Boussinesq equations

“…Note that the error e z could be computed off-line using solutions of the ROM (8), (11) and exact (e.g., FEM-based) solutions of the PDE (9) . The error could be also computed on-line where the z pod n (t, x ; μ) is obtained from solving the ROM model (8), (11) on-line, and the z n ( t, x ; μ) are real measurements of the system at selected spatial locations { x i }.…”

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