All you need to know about model predictive control for buildings
KU Leuven · Pacific Northwest National Laboratory · +5 more institutions
Abstract
It has been proven that advanced building control, like model predictive control (MPC), can notably reduce the energy use and mitigate greenhouse gas emissions. However, despite intensive research efforts, the practical applications are still in the early stages. There is a growing need for multidisciplinary education on advanced control methods in the built environment to be accessible for a broad range of researchers and practitioners with different engineering backgrounds. This paper provides a unified framework for model predictive building control technology with focus on the real-world applications. From a theoretical point of view, this paper presents an overview of MPC formulations for building…
Citation impact
- FWCI
- 50.09
- Percentile
- 100%
- References
- 594
Authors
11Topics & keywords
- Model predictive control
- Workflow
- SCADA
- Context (archaeology)
- Computer science
- Robustness (evolution)
- Multidisciplinary approach
- Control (management)
Funding
- UDU.S. Department of EnergyAwards: -AC02-05CH11231, 76RL01830, AC05-76RL01830, 05CH11231, DE-AC05-76RL01830, AC02-05CH11231, DE-AC02, DE-AC02-05CH11231, DE-AC05, DE-AC02-
- ECEuropean CommissionAwards: EU-H2020, H2020, DE-AC02-05CH11231, 723649, 731231, 1710754
- VIVlaamse Instelling voor Technologisch OnderzoekAwards: 1710754, 731231
- H2Horizon 2020 Framework ProgrammeAwards: 731231, 1710754, 723649
- UZUniversitaire Ziekenhuizen Leuven, KU Leuven
- LBLawrence Berkeley National Laboratory
- PNPacific Northwest National Laboratory