<?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%">Andrea Costa</style></author><author><style face="normal" font="default" size="100%">Marcus Keane</style></author><author><style face="normal" font="default" size="100%">Paul Raferty</style></author><author><style face="normal" font="default" size="100%">James O&#039;Donnell</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Key Factors - Methodology for Enhancement and Support of Building Energy Performance</style></title><secondary-title><style face="normal" font="default" size="100%">Building Simulation 2009</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://zuse.ucc.ie/iruse/papersNew/AndreaGlasgow.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Glasgow, Scotland</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This paper presents the Key Factors methodology that supports energy managers in determining the optimal building operation strategy in relation to both energy consumption and thermal comfort. The methodology is supported by the utilisation of calibrated building energy simulation models that match measured data gathered by an extensive measurement framework. The paper outlines the proposed methodology defining the underpinning concepts and illustrating the performance metrics required to capture the effect of different building operation strategies. A brief case study is  discussed to demonstrate the application of the methodology.&lt;/p&gt;</style></abstract></record></records></xml>