<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Olivier Van Cutsem</style></author><author><style face="normal" font="default" size="100%">Maher Kayal</style></author><author><style face="normal" font="default" size="100%">David Blum</style></author><author><style face="normal" font="default" size="100%">Marco Pritoni</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparison of MPC Formulations for Building Control under Commercial Time-of-Use Tariffs</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE PowerTech Milan 2019</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">commercial building</style></keyword><keyword><style  face="normal" font="default" size="100%">demand charge</style></keyword><keyword><style  face="normal" font="default" size="100%">Model predictive control (MPC)</style></keyword><keyword><style  face="normal" font="default" size="100%">peak demand</style></keyword><keyword><style  face="normal" font="default" size="100%">time-of-use tarrif</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Most medium and large commercial buildings in&amp;nbsp;the U.S. are subject to complex electricity tariffs that combine&amp;nbsp;both Time-of-Use (TOU) energy and demand charges. This study&amp;nbsp;analyses the performances of different economic Model Predictive&amp;nbsp;Control (MPC) formulations, from the standpoints of monthly bill&amp;nbsp;reduction, load shifting, and peak demand reduction. Simulations&amp;nbsp;are performed on many simplified commercial building models,&amp;nbsp;with multiple TOU demand charges, and under various summer&amp;nbsp;conditions. Results show that compared to energy-only MPC, the&amp;nbsp;traditional method for dealing with demand charges significantly&lt;br /&gt;reduces peak demand and owner bill, however, highlight a lack&amp;nbsp;of load shifting capability. A proposed incremental approach&lt;br /&gt;is presented, which better balances the bill components in the&amp;nbsp;objective function. In the case study presented, this method&lt;br /&gt;can improve monthly bill savings and increase load shifting&amp;nbsp;during demand response events, while keeping a similarly low&lt;br /&gt;peak demand, compared to traditional MPC methods taking into&amp;nbsp;account demand charges.&lt;/p&gt;</style></abstract></record></records></xml>