01392nas a2200133   4500008004100000245008600041210006900127260002700196520090500223653003501128100001601163700002001179856005901199       2017                        eng d00aMPCPy: An Open-Source Software Platform for Model Predictive Control in Buildings0 aMPCPy An OpenSource Software Platform for Model Predictive Contr  aSan Franciscoc08/20173 a<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>10aModel predictive control (MPC)1 aBlum, David1 aWetter, Michael  uhttp://www.ibpsa.org/proceedings/BS2017/BS2017_351.pdf