Automation Performance Index
Automation is intended to improve overall building performance. Building Automation Systems (BAS) are attractive and popular due to their promise of increased operational effectiveness. BAS can be optimized and a well-designed and well-implemented BAS is expected to increase a buildings overall appeal and value as a result of improvement to its performance. In order to improve the level of automation in buildings, a measurement tool in the form of a performance index is needed. The goal of this research is to quantify a buildings level of automation-performance. The specific objective is to develop an Automation Performance Index (API) model for evaluating the extent of a buildings automation-performance. A methodology is outlined with ten tasks to accomplish the goals of this research and a criterion for each task is described.
An extensive literature research and expert survey are performed to identify the key parameters that influence the performance of BAS. Seminars related to the building automation and commissioning fields were also attended to obtain the views of practitioners, manufacturers experts, as well as scholars in the field of building automation and performance commissioning. A Delphi method of research approach is conducted through a series of interviews and surveys of industry and academia experts. The feedback from experts and the research from literature, industry and academic resources are combined, classified and categorized for identification of significant parameters around which Automation Performance Index (API) model can be defined.
Advisor:Linda Thomas; Dr. Zahed Sheikholeslami; Dr. Saeid Sadri; Kathy Roper; Dr. Roozbeh Kangari
School:Georgia Institute of Technology
School Location:USA - Georgia
Source Type:Master's Thesis
Date of Publication:11/30/2006