The objective of the project was to develop and laboratory test algorithms that implement selfcorrection capabilities for sensors, economizer dampers, and damper actuators in building airhandling systems. Satisfaction of this objective led to 1) algorithms ready for implementation in or connected to building and equipment control systems for field demonstration and commercial application and 2) underlying methods that may be transferable to creating selfcorrecting capabilities for other heating, ventilating, and air-conditioning (HVAC) system components. Full-scale commercial deployment of this technology will capture significant energy savings by automatically eliminating many of the faults that degrade the efficiency of HVAC systems, thus maintaining energy efficiency well above the efficiency at which these systems routinely operate. Furthermore, to the extent that HVAC electricity use and system peaking are coincident (e.g., in the summer), peak demand will also be reduced by deployment of this technology.Algorithms were developed for detecting, isolating, characterizing and correcting the following specific faults: biases in temperature and relative-humidity sensors in outdoor-, return-and mixed-air streams, an incorrectly set signal to position the outdoor-air damper of an air handler to meet the minimum ventilation requirements of the building while it is occupied, hunting (continuously oscillating) dampers, and controllers left in a state of manual control override that should be in an automatic control mode.Laboratory tests for biased temperature and humidity sensors and incorrectly set values of the minimum occupied outdoor-air damper position signal showed that automatic self-correction of these faults can be successfully performed; however, under some conditions passive detection of the presence of a fault may not be possible, and the fault isolation process may reach an incorrect conclusion under some circumstances. The primary cause of incorrect conclusions in fault isolation were found to be caused by dampers leaking when completely closed. This problem can be addressed by modifying the algorithms to automatically account for imperfections in damper sealing, which is recommended.Other recommendations for future work include:iv other enhancements to the existing algorithms, additional laboratory testing to more completely characterize algorithm performance under a wide range of conditions and to better quantify the limits of fault detectability, isolation and correction, laboratory test additional algorithm capabilities not tested in the present project, development of self-correcting control algorithms for discharge-air temperature, humidity and static pressure control, develop self correcting control algorithms for additional HVAC equipment, such as air distribution, chilled-and hot-water distribution, cooling towers, etc., study to quantify the benefits of deployment and use of self-correcting HVAC control technology for various systems, development of models for commercial ...