Extending the information delivery manual approach to identify information requirements for performance analysis of HVAC systems

  • Authors:

  • Xuesong Liu;Burcu Akinci;Mario Bergés;James H. Garrett, Jr.

  • Affiliations:

  • Carnegie Mellon University, Pittsburgh, PA 15213, United States;Dept. of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States;Dept. of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States;Dept. of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States

  • Venue:
  • Advanced Engineering Informatics
  • Year:
  • 2013

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Abstract

Heating, Ventilation and Air-Conditioning (HVAC) systems account for more than 15% of the total energy consumption in the US. In order to improve the energy efficiency of HVAC systems, researchers have developed hundreds of algorithms to automatically analyze their performance. However, the complex information, such as configurations of HVAC systems, layouts and materials of building elements and dynamic data from the control systems, required by these algorithms inhibits the process of deploying them in real-world facilities. To address this challenge, we envision a framework that automatically integrates the required information items and provides them to the performance analysis algorithms for HVAC systems. This paper presents an approach to identify and document the information requirements from the publications that describe these algorithms. We extend the Information Delivery Manual (IDM) approach so that the identified information requirements can be mapped to multiple information sources that use various formats and schemas. This paper presents the extensions to the IDM approach and the results of using it to identify information requirements for performance analysis algorithms of HVAC systems.