Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

MPCPy: an Open-Source Software Platform for Model Predictive Control in Buildings

David H. Blum1and Michael Wetter1
1Lawrence Berkeley National Laboratory, Energy Technologies Area Building Technology and Urban Systems Division Berkeley, CA, U.S.A.

DOI: https://doi.org/10.26868/25222708.2017.351
Abstract: Within the last decade, needs for building control systems that reduce cost, energy, or peak demand, and that facilitate building-grid integration, district-energy system optimization, and occupant interaction, while maintaining thermal comfort and indoor air quality, have come about. Current PID and schedule-based control systems are not capable of fulfilling these needs, while Model Predictive Control (MPC) could. Despite the critical role MPC-enabled buildings can play in future energy infrastructures, widespread adoption of MPC within the building industry has yet to occur. To address barriers associated with system setup and configuration, this paper introduces an open-source software platform that emphasizes use of self-tuning adaptive models, usability by non-experts of MPC, and a flexible architecture that enables application across projects.
Pages: 1381 - 1390
Paper:
BS2017_351