Building Systems

High Fidelity Data Surrogates for Enhancing Co-Simulation Capabilities of Energy Simulation Tools

Energy modeling tools are used by engineers and researchers to evaluate the impact of different design features, products, and materials systems on an building's energy, thermal, and hygrothermal performance. These frameworks and their simulation …

Integrating Data-Driven and High Fidelity Computational Models for Buildings Energy Systems

Residential and commercial buildings account for 41% of total energy consumption in the United States. Optimizing energy consumption and designing more Energy Efficient Green Buildings is a promising approach to reducing energy consumption. Modeling …

Indoor Air Quality Sensor Placement Accounting for Airflow Uncertainty

The sensor placement algorithm accounting for building airflow uncertainty based on Perron-Frobenius Operator.

Construction of Perron Frobenius Operator from Computational Fluid Dynamics (CFD) Data

A data-driven approach is developed to construct the Perron-Frobenius operator on-line using the OpenSource CFD tool OpenFOAM.

Surrogate Modeling for Integrating High-Fidelity Data with Energy Simulations Tools

The work demonstrate the co-simulation strategy of coupling Building Simulation Tool(FATM) with surrogate model constructed with high fidelity CFD data.