Lead Performer: Lawrence Berkeley National Laboratory – Berkeley, CA; Partners: Carrier Corp. – Palm Beach Gardens, FL; Automated Logic Corp. – Kennesaw, GA
September 28, 2021
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Workflow for digitized control delivery process, bridging model-based design with Spawn of EnergyPlus with formal end-to-end verification.
Lead Performer: Lawrence Berkeley National Laboratory – Berkeley, CA
Partners:
-- Carrier Corp. – Palm Beach Gardens, FL
-- Automated Logic Corp. – Kennesaw, GA
DOE Total Funding: $1,000,000
FY20 DOE Funding: $500,000
Cost Share: $1,000,000
Project Term: September 1, 2020 – September 30, 2022
Funding Type: Cooperative Research and Development Agreement – 2021 Lab Call
Project Objective
Model-based development can be used to design, deploy, and configure building energy control systems for increased efficiency, indoor air quality, resilience, and flexibility. This project will establish a new workflow at Carrier and Automated Logic for model-based design, deployment, automatic configuration and verification of next-generation control systems. These new systems use an open digital format for control logic and an open semantic model for system configuration.
Project Impact
This project will increase the efficiency and IAQ of commercial buildings, reduce the cost and time for installations of controls, system-level FDD and energy analytics, and accelerate the development of new control solutions for existing and new commercial buildings. Collectively, they will enable a large labor pool to install and configure high-performance controls, FDD, and energy analytics through a formal rigorous digitized process based on emerging ASHRAE standards.
Contacts
DOE Technology Manager: Erika Gupta
Lead Performers: Marco Pritoni and Michael Wetter, Lawrence Berkeley National Laboratory
Related Publications
Michael Wetter, Paul Ehrlich, Antoine Gautier, Milica Grahovac, Philip Haves, Jianjun Hu, Anand Prakash, Dave Robin and Kun Zhang. OpenBuildingControl: Digitizing the control delivery from building energy modeling to specification, implementation and formal verification. Energy, Volume 238, Part A, January 2022. https://www.sciencedirect.com/science/article/pii/S0360544221017497?via%3Dihub
Michael Wetter, Jianjun Hu, Anand Prakash, Paul Ehrlich, Gabe Fierro, Milica Grahovac, Marco Pritoni, Lisa Rivalin, Dave Robin. Modelica-json: Transforming energy models to digitize the control delivery process. Buildings Simulation 2021. Brugge, Belgium. September 2021.
Michael Wetter, Milica Grahovac and Jianjun Hu. Control Description Language. 1st American Modelica Conference, Cambridge, MA, USA, August 2018. https://simulationresearch.lbl.gov/wetter/download/2018-americanModelica-WetterGrahovacHu.pdf
Fierro G., Prakash A., Mosiman C., Pritoni M., Raftery P., Wetter M., and Culler D. (2020). Shepherding Metadata Through the Building Lifecycle. In The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys ’20), November 18–20, 2020, Virtual Event, Japan. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3408308.3427627
Pritoni, M.; Paine, D.; Fierro, G.; Mosiman, C.; Poplawski, M.; Saha, A.; Bender, J.; Granderson, J. (2021). Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis. Energies 2021, 14, 2024. https://doi.org/10.3390/en14072024