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Advanced Commissioning and Monitoring Techniques

The aim of this project is to develop methods of using simulation models, either at the whole-building or the component level, as baselines for building operation. Whole-building simulation models can be used in two ways. In new building commissioning, a simulation model developed during the design phase can be used to determine whether the expected performance can be achieved. In existing buildings, a calibrated simulation can be used to identify operating parameters, including controller set-points, that allow comfortable conditions to be attained more efficiently. At the component level, models of specific items of equipment can be used in automated functional testing and in the monitoring of routine operation to ensure that the equipment is operating correctly.

Tasks:

Develop Simulation-Assisted Commissioning Procedures
The aim is to develop whole-building-level functional test procedures based on energy simulation programs in order to verify that the building is capable of delivering the performance expected by the designers.
Develop Tune-Up Procedures Based on Calibrated Simulations
Tune-up procedures based on calibrated simulation have been demonstrated to reduce HVAC operating costs significantly but, in their current form, they are costly to implement and require personnel with special skills. The aim of this task is to make calibrated simulation a practical tool for building tune-ups by significantly reducing the time and skill level required for their use.
Develop Semi-Automated, Component-Level Diagnostic Procedures
The objective of this task is to implement and test component-level functional testing and performance monitoring procedures for HVAC systems. The approach is to predict the expected performance of particular items of HVAC equipment. A significant difference between the predicted and observed performance indicates the presence of a fault. Relevant operating data are then displayed so that the operator can confirm the presence of the fault and take steps to diagnose its cause so that it can be remedied.
Project Team:
Philip Haves (Berkeley Lab)
David Claridge (Texas A&M)
Mingsheng Liu (University of Nebraska)
Ove Arup & Partners
Flack & Kurtz
Architectural Energy Corporation
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Last updated
May 27, 2003		 Return to top | HPCBS Home