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    Researchers in the Building & Industrial Energy Systems Division (BIES) at Lawrence Berkeley National Laboratory work closely with industry, government and key decision makers to inform and develop building and industrial energy systems that increase energy efficiency, save money and improve health and safety for building occupants.

    The BIES Division engages in innovative and creative research to advance energy efficiency in the built environment, one of the world's most critical energy and environmental challenges because buildings are the world's largest energy-users.

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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
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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
  • EMIS
  • 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
X Author: Marco Pritoni X Term: BTUS Decision Science and Tools

2022

Liu, Jingjing, Rongxin Yin, Lili Yu, Mary Ann Piette, Marco Pritoni, Armando Casillas, Jiarong Xie, Tianzhen Hong, Monica Neukomm, and Peter Schwartz."Defining and applying an electricity demand flexibility benchmarking metrics framework for grid-interactive efficient commercial buildings."Advances in Applied Energy 8 (2022) 100107. DOI

2021

Luo, Na, Marco Pritoni, and Tianzhen Hong."An overview of data tools for representing and managing building information and performance data."Renewable and Sustainable Energy Reviews 147 (2021) 111224. DOI

2020

Sanguinetti, Angela, Claire McIlvennie, Marco Pritoni, and Susan Schneider."Beyond Curtailment and Efficiency: Identifying Household Energy- and Water-Saving Measure Classes."ACEEE Summer Study (2020). DOI

2019

Wang, Zhe, Tianzhen Hong, Mary Ann Piette, and Marco Pritoni."Inferring occupant counts from Wi-Fi data in buildings through machine learning."Building and Environment 158 (2019) 281 - 294. DOI

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