Lead Performer: Lawrence Berkeley National Laboratory – Berkeley, CA
FY18 DOE Funding: $200,000
Project Term: October 1, 2016 – September 30, 2019
Funding Type: Lab Award
Related Projects: Hybrid Model-Based Whole-Building AFDD
Project Objective
It is estimated that HVAC system and control faults account for an average of 29% of commercial building energy use, or ~4-5% of overall national energy use.1 Automated fault detection and diagnostics (AFDD) are key addressing this energy use component.
Methods do not currently exist to validate the performance of existing and next generation fault detection and diagnostics (AFDD) algorithms. This is a significant gap for both researchers and developers exploring and studying emerging approaches in this field, as well as for system integrators aiming to achieve overarching building performance objectives. The objective of this work is to develop a procedure to performance test AFDD algorithms; verify that those tests evaluate identified performance characteristics; and make the procedures available to the public for replication and ongoing use to the broader research community.
LBNL will design a novel and state-of-the-art performance testing procedure for automated fault detection and diagnostics (AFDD) algorithms. The procedure will use data from simulation as well as operational data from LBNL’s FLEXLAB and other experimental facilities such as ORNL's FRP. Experimental work will be conducted to verify that simulation and physical testing can create viable data sets, and that these data sets can be integrated.
The comprehensive process developed will ultimately be used by the community, including researchers to benchmark emerging approaches and algorithms being developed, utilities to determine performance gaps and development priorities, and FDD software users who wish to validate options for implementation in their buildings.
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1 N. Fernandez et al. Impacts of Commercial Building Controls on Energy Savings and Peak Load Reduction. PNNL Report 2017. http://buildingretuning.pnnl.gov/publications/PNNL-25985.pdf
Contacts
DOE Technology Manager: Erika Gupta
Lead Performer: Jessica Granderson, LBNL