Automated Diagnostics and Visualization of Potential Energy Performance Problems in Existing Buildings Using Energy Performance Augmented Reality Models-Reference-Cited by-同舟云学术

Automated Diagnostics and Visualization of Potential Energy Performance Problems in Existing Buildings Using Energy Performance Augmented Reality Models

Published:2014-01 Issue:1 Volume:28 Page:17-29
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Golparvar-Fard Mani¹,Ham Youngjib²

Affiliation:

1. NCSA Faculty Fellow and Assistant Professor, Dept. of Civil and Environmental Engineering and Dept. of Computer Science, Univ. of Illinois at Urbana-Champaign, Urbana, IL; formerly, Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL.

2. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, and Master of Computer Science Student, Dept. of Computer Science, Univ. of Illinois at Urbana-Champaign, Urbana, IL (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000311

Reference47 articles.

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2. A comparison between CFD and Network models for predicting wind-driven ventilation in buildings

3. Autodesk. (2009). “Rapid energy modeling for existing buildings: Testing the business and environmental potential through an experiment at autodesk.” Autodesk/ICF Rep. Autodesk San Rafael CA.

4. Infrared thermography for building diagnostics

5. User-Centered Nonintrusive Electricity Load Monitoring for Residential Buildings

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