Integrated Commissioning and Diagnostics R&D

On this page you'll find information about the U.S. Department of Energy's integrated commissioning and diagnostics research and development project.

Project Collaborators

Lawrence Berkeley National Laboratory (LBNL), California Energy Commission Public Interest Energy Research (PIER) Program, Texas A&M University, University of California at Berkeley, and Massachusetts Institute of Technology


The High Performance Commercial Building Systems Program is a three-year, public-private initiative to develop and deploy technologies and strategies to improve the design, commissioning, and operation of commercial buildings. Integrated Commissioning and Diagnostics is one of five program elements. Overarching program goals include reducing building energy use and costs and improving the health, comfort, and productivity of building occupants.


Integrated Commissioning and Diagnostics activities focus on developing a set of manual tools, test procedures, and guides to support the commissioning of heating, ventilating, and air-conditioning (HVAC), lighting, and other building systems.

Specific tasks include the development of a library of functional test procedures for new construction, as well as evaluation of fault detection and diagnosis tools for existing buildings. Additional tasks involve development of a procedure for assessing the economic viability of upgrading older energy management and control systems, and development and deployment of high-speed electrical load monitoring capable of providing component-specific load information from a central location.

Advanced commissioning and monitoring activities focus on developing methods for using simulation models as a baseline for building operation. Whole-building simulation models can be used during the design phase to determine whether the expected performance can be achieved. In existing buildings, a calibrated simulation can be used to identify operating parameters and develop tune-up procedures. At the component level, modeling can be used to support automated functional testing and routine monitoring of specific equipment.