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

Publication Type

Conference Paper

Date Published

08/2017

LBNL Report Number

LBNL-2001226

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.

Conference Name

Proceedings of the 15th IBPSA Conference: Building Simulation 2017

Year of Publication

2017

Refereed Designation

Refereed

Conference Location

San Francisco