%0 Conference Paper
%K Model predictive control (MPC)
%A David Blum
%A Michael Wetter
%B Proceedings of the 15th IBPSA Conference: Building Simulation 2017
%C San Francisco
%D 2017
%G eng
%T MPCPy: An Open-Source Software Platform for Model Predictive Control in Buildings
%U http://www.ibpsa.org/proceedings/BS2017/BS2017_351.pdf
%2 LBNL-2001226
%8 08/2017
%X <p class="Body">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.&nbsp; Current PID and schedule-based control systems are not capable of fulfilling these needs, while Model Predictive Control (MPC) could.&nbsp; 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.&nbsp; 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.</p>