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Intelligent Environments Laboratory

The University of Texas at Austin
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    • Prof. Zoltan Nagy, PhD
    • June Young Park
    • José Ramón Vázquez-Canteli
    • Megan K. McHugh, MSE
    • Ayşegül Demir Dilsiz
    • Hagen Fritz
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November 23, 2018, Filed Under: Research

IEA-EBC Annex 79: Occupant Centric Design and Operation of Buildings

A new IEA EBC Annex on occupant-centric design and controls has been approved. The Annex will involve about 100 experts from 20 countries for five years and focus on fundamental research issues regarding occupant comfort and behaviour, application to design and operations practice, new technology Read more 

November 23, 2018, Filed Under: Research

Occupant centered building control

The energy savings of buildings promised by automatic control systems are often ineffective due to occupants who may not use the features of the system to the full potential at best, or deactivate the system at worst. Therefore, systems that adapt to the occupant over time without compromising Read more 

November 23, 2018, Filed Under: Research

Occupancy detection using Bluetooth

  Gathering occupancy data is considered as one of the grand challenges in building information modeling. Direct occupancy detection methods, such as the typical passive infrared (PIR) motion detectors detect motion rather than presence and are difficult to retrofit into existing buildings. Read more 

November 23, 2018, Filed Under: Research

Whole Communities—Whole Health

CHANGING THE WAY SCIENCE HELPS SOCIETY THRIVE IS OUR GRAND CHALLENGE Traditional research studies take “snapshots” of people’s lives at different points in time. Those snapshots give us information, but it’s incomplete. That means we might make incorrect assumptions or develop policies and Read more 

August 25, 2018, Filed Under: Research

Austin building stock under climate change

This project is in collaboration with the Sustainable Built Environment group in the School of Architecture. Each year the city of Austin stays amongst the top of the list of fastest growing metro areas in the country, with an average increase of 160 residents per day. As a result, the building Read more 

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Research Highlight

UT Energy App – Privacy Policy

  The Intelligent Environments Laboratory is releasing the first version of the UT Energy App. This app is intended to provide a way to Read more 

About Us

The Intelligent Environments Laboratory (IEL), led by Prof. Zoltán Nagy, is an interdisciplinary research group within the Building Energy & Environments (BEE) and Sustainable Systems (SuS) Programs of the Department of Civil, Architectural and Environmental Engineering (CAEE) in the Cockrell School of Engineering of the University of Texas at Austin.

The aim of our research is to rethink the built environment and define Smart Buildings and Cities as spaces that adapt to their occupants and reduce their energy consumption.

We combine data science with building science and apply machine learning to the building and urban scale

Take a look at our projects !

Tags

air handling unit Annex 79 architecture artificial neural network Bluetooth city learn Community engaged research earthquakes environmental monitoring fault detection and diagnostics HVAC integrated design intelligent energy management Lighting Control machine learning Megan McHugh multi-agent systems Occupancy Occupant Centered Control Reinforcement Learning Review Smart Building smart city teaching Thermal Comfort
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Research

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UT Energy App – Privacy Policy

Fault detection and diagnostics of air handling units using machine learning and expert rule-sets

Reinforcement Learning in the Built Environment

Reinforcement learning for urban energy systems & demand response

Multi-Agent Reinforcement Learning for demand response & building coordination

IEA-EBC Annex 79: Occupant Centric Design and Operation of Buildings

People

  • Prof. Zoltan Nagy, PhD
  • June Young Park
  • José Ramón Vázquez-Canteli
  • Megan K. McHugh, MSE

Tags

air handling unit Annex 79 architecture artificial neural network Bluetooth city learn Community engaged research earthquakes environmental monitoring fault detection and diagnostics HVAC integrated design intelligent energy management Lighting Control machine learning Megan McHugh multi-agent systems Occupancy Occupant Centered Control Reinforcement Learning Review Smart Building smart city teaching Thermal Comfort
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301 E Dean Keeton St
Austin, TX 78712
512-555-5555
nagy@utexas.edu

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