Argonne National Laboratory

Buildings and Climate-Environment

Buildings and Climate-Environment

Buildings consume over 40% of our nation’s total energy and over 75% of its electricity. In order to meet carbon reduction goals, our nation needs to reduce the energy use of both new and existing buildings. Argonne’s Building Energy Decision and Technology Research (BEDTR) team is developing new tools and technologies to support the design, construction, operation, and retrofit of more energy efficient buildings that also provide better comfort and indoor environmental quality for occupants.

Argonne’s Climate-Environment team focuses on the impact of human activities, particularly the generation of energy, on the environment from local to global scale. The effect of fossil-fuel combustion on the atmospheric environment has been a long-standing area of activity, including support to the Intergovernmental Panel on Climate Change in the 1990s and an emphasis on the problems of China, India, and the rest of Asia. Argonne researchers are using of satellite data to infer ground-based emissions from power plants and other polluting sources.


Acoustic Building Infiltration Measurement System/Sonic Leak Quantifier

Developing, testing, and validating a new system for measuring the infiltration (uncontrolled air leakage) of all types of buildings

Behavior-Modifying Technologies for Reducing Water Use

Studying the current state of technologies that save water through behavioral changes and developing a road-map for future research efforts

Commercial Building Agent-based Model

Developing, testing, and validating an agent based model of the commercial building market for studying the adoption and impact of new technologies on energy use in collections of buildings

Commercial Upstream Incentive Program

Developing innovative utility incentive programs designed to change the energy efficiency marketplace

Lakeside Sustainable Infrastructure Model

Developing a couple model of buildings, transportation systems, energy systems, and other urban infrastructure for long term planning and design of urban areas

Observing Emissions of Air Pollutants from Space

Using satellite measurements to observe and monitor air pollutants from power plants

Uncertainty Analysis and Bayesian Calibration

Developing research to identify and quantify the uncertainties in building energy models, developing Bayesian Calibration methods for reducing the uncertainty and improving building energy models and developing methods for assessing the risks related to uncertainty in building performance and energy savings of building retrofits