IDEAS Lab

Integrated Data, Energy Analysis + Simulation

A Passion for Better Buildings

IDEAS Lab is a research group in the Department of the Built Environment in the College of Design and Engineering at the National University of Singapore (NUS) that engages in the integration building performance simulation with real-time data and machine learning. The group focuses on various aspects of building performance simulation including uncertainty quantification, model calibration, and building data analytics with the aim of creating energy efficient and healthier buildings.

Also, check out our two sibling labs: the Building and Urban Data Science (BUDS) Lab and the Urban Analytics Lab (UAL), with whom we collaborate closely within NUS.

Projects

A Total Building Performance Approach to Real-time Occupant Centric Sensing and Control for Mixed Mode Ventilation in the Tropics

An open dataset for the calibration of building energy models

Advanced machine learning based control for HVAC systems

Advanced machine learning based control for the HVAC systems

An automated framework for model predictive control

This study aims at improving the scalability of MPC by addressing modeling-related issues and establishing an automated framework.

Epwshiftr: an R package for creating future weather files under climate changes for building energy simulation

An R package for creating future weather files under climate changes for building energy simulation

Life cycle cost optimization

eplusr: A framework for integrating building energy simulation and data-driven analytics

A framework for seamless integration between Building Energy Simulation (BES) and data-driven analytics.

Generating certified energy models in Singapore through an M&V framework.

Generating certified energy models in Singapore through an M&V framework.An NUS project in collaboration with Professor Godfried L. Augenbroe (Georgia Institute of Technology)

Adrian Chong

Associate Professor

National University of Singapore

Biography

Dr. Adrian Chong is an Associate Professor in the Department of the Built Environment at the National University of Singapore (NUS) and a Fellow of the International Building Performance Simulation Association (IBPSA). His research interest is rooted in addressing the multi-faceted challenges of optimizing building energy efficiency and performance.At the core of this endeavor are his interest in mixed-mode ventilation in the Tropics, model calibration, uncertainty quantification, and occupant-centric building controls. At NUS, he leads the Integrated Data, Energy Analysis + Simulation (IDEAS) lab, a multidisciplinary group researching the interaction between building performance simulation, measured data, and machine learning. Adrian also serves as a subject editor for Building Simulation, an editorial board member for Energy and Buildings, and an Early Career Board Member for Building and Environment.

Interests

Mixed-mode ventilation for tropical climates
Uncertainty Quantification
Occupant-centric building controls and operations
Model calibration

Education

PhD in Building Performance and Diagnostics, 2017

Carnegie Mellon University