IBPSA Project 2 BOPTEST: An update on the test cases available in the framework for testing advanced control strategies in buildings

Conference · Mon Dec 01 04:00:00 EST 2025

DOI:https://doi.org/10.26868/25222708.2025.1657· OSTI ID:3009414

Zanetti, Ettore ^[1]; Blum, David ^[1]; arroyo, javier ^[2]; walnum, Harald ^[3]; Cupeiro, Iago ^[4]; Van hove, Matthias ^[5]; Lu, Xing ^[6]; Chen, Yan ^[6]; Bae, Yeonjin ^[7]; Li, Guowen ^[8]; Zhang, Kun ^[9]

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1. Lawrence Berkeley National Laboratory (LBNL)
2. Katholieke University Leuven (University of Leuven), Belgium
3. Norwegian University of Science and Technology (NTNU) Norway
4. Cupeiro Solucions Intelixentes de Enerxia
5. Technical University of Denmark (DTU)
6. Pacific Northwest National Laboratory (PNNL)
7. ORNL
8. Texas A&M University
9. École de technologie supérieure

Project 2 develops software infrastructure, test cases, and extensions for the Building Optimization Testing Framework (BOPTEST) to address the expanding needs of building and urban energy system controls through open international collaboration. This paper provides an overview of the new test cases available as of BOPTEST version 0.7.1. Each test case is developed using open-source Modelica libraries and Spawn of EnergyPlus, enabling the creation of high-fidelity building models that incorporate envelope dynamics, Heating Ventilation and Air Conditioning (HVAC) systems, and explicit control representations. Currently, eight test cases are available, with five additional cases under development. These testcases cover a wide range of climates, building types, and HVAC systems. This paper compiles and summarizes test case descriptions, cites original manuscripts that developed them for a more detailed description, and reports baseline control performance metrics. Furthermore, two example applications are presented: one illustrating different levels of control, from supervisory to low-level, and another demonstrating how Model Predictive Control (MPC) solutions must be adapted from continuous to integer to control some building actuators.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 3009414
• Resource Type: Conference paper/presentation
• Conference Information: Building Simulation 2025 - Brisbane, Australia - 8/24/2025-8/27/2025
• Country of Publication: United States
• Language: English