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    Researchers in the Building Technology & Urban Systems Division (BTUS) at Lawrence Berkeley National Laboratory develop data and technologies that increase energy efficiency and improve the health, safety and comfort of building occupants, in the United States and worldwide.

    We work closely with industry partners, academics and government officials to achieve these goals, and share our research widely

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  • Research +

    We are at the forefront of cutting-edge research that redefines building technology and explores all areas of urban systems.

    We have been leaders for decades in developing energy-efficient windows, improving indoor air quality, coming up with new ideas to fix the nation's electricity grid, and so much more.

    Visit our research areas at the right to find out more.

    Colum 1 +
    • Windows & Daylighting
    • FLEXLAB® & Systems Integration
    • Electronics, Lighting & Networks
    • Modeling & Simulation
    • Indoor Air Quality
    • High Tech & Industrial
    Colum 2 +
    • Decision Science
    • Energy Analytics
    • The Grid & Demand Response
    • Cool Roofs & Walls
    • Urban Systems
  • Publications +

    Enjoy presentations from Building Technology & Urban systems research experts on a wide variety of topics in the areas of building energy efficiency, the electricity grid and how it relates to buildings and much more.

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  • Tools & Guides +

    Explore our tools, guidebooks and software and download for free.

    We offer a variety of technologies designed to simulate and model real-world circumstances to assist in energy-saving programs and help building owners build better buildings. These tools can help calculate performance of building systems like windows and shades, help consumers and builders pick the best windows for a variety of applications and much more.

    • Whole Building
    • Occupant Behavior
    • Lighting
    • Windows and Envelope Materials
    • Cool Surfaces
    • City and Districts

Publications

Publications By Research Area

  • Cool Roofs & Walls
  • Decision Science
  • Electronics, Lighting & Networks
  • Energy & Financing
  • Energy Analytics
  • FLEXLAB® and Systems Integration
  • High Tech & Industrial
  • Indoor Air Quality
  • Modeling & Simulation
  • The Grid & Demand Response
  • Windows & Daylighting

2020

Li, Xiangfeng, Yuan Ying, Xiaodong Xu, Yiwei Wang, Syed Asad Hussain, Tianzhen Hong, and Wei Wang."Identifying key determinants for building energy analysis from urban building datasets."Building and Environment 181 (2020) 107114. DOI

2019

Xu, Xiaodong, Wei Wang, Tianzhen Hong, and Jiayu Chen."Incorporating machine learning with building network analysis to predict multi-building energy use."Energy and Buildings 186 (2019) 80 - 97. DOI
Wang, Wei, Tianzhen Hong, Xiaodong Xu, Jiayu Chen, Ziang Liu, and Ning Xu."Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm."Applied Energy 248 (2019) 217 - 230. DOI
Xu, Xiaodong, Yifan Wu, Wei Wang, Tianzhen Hong, and Ning Xu."Performance-driven optimization of urban open space configuration in the cold-winter and hot-summer region of China."Building Simulation 12.3 (2019) 411 - 424. DOI

2018

Xu, Xiaodong, Fenlan Luo, Wei Wang, Tianzhen Hong, and Xiuzhang Fu."Performance-Based Evaluation of Courtyard Design in China’s Cold-Winter Hot-Summer Climate Regions."Sustainability 10.11 (2018) 3950. DOI

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