<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Michael Wetter</style></author><author><style face="normal" font="default" size="100%">Marco Bonvini</style></author><author><style face="normal" font="default" size="100%">Thierry Stephane Nouidui</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Equation-based languages – A new paradigm for building energy modeling, simulation and optimization</style></title><secondary-title><style face="normal" font="default" size="100%">Energy and Buildings</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Equation-based modeling</style></keyword><keyword><style  face="normal" font="default" size="100%">modelica</style></keyword><keyword><style  face="normal" font="default" size="100%">Multi-physics simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">Optimal control</style></keyword><keyword><style  face="normal" font="default" size="100%">smart grid</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2016</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">117</style></volume><pages><style face="normal" font="default" size="100%">290-300</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Most of the state-of-the-art building simulation programs implement models in imperative programming languages. This complicates modeling and excludes the use of certain efficient methods for simulation and optimization. In contrast, equation-based modeling languages declare relations among variables, thereby allowing the use of computer algebra to enable much simpler schematic modeling and to generate efficient code for simulation and optimization.&lt;/p&gt;&lt;p&gt;We contrast the two approaches in this paper. We explain how such manipulations support new use cases. In the first of two examples, we couple models of the electrical grid, multiple buildings, HVAC systems and controllers to test a controller that adjusts building room temperatures and PV inverter reactive power to maintain power quality. In the second example, we contrast the computing time for solving an optimal control problem for a room-level model predictive controller with and without symbolic manipulations. Exploiting the equation-based language led to 2200 times faster solution.&lt;/p&gt;</style></abstract><custom2><style face="normal" font="default" size="100%">LBNL-1003383</style></custom2></record></records></xml>