A Framework for Cloud-based Energy Evaluation and Management for Sustainable Decision Support in the Built Environments

Procedia Engineering

Volumn 118, Issue , 2015, Pages 442-448

  Cho, Yong K ^a   Li, Haorong ^b   Park, Jeewoong ^a   Zheng, Keke ^c  

^a Georgia Institute of Technology   (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^c TEXAS A AND M UNIVERSITY SYSTEM   (United States)

Author keywords

As built modeling; Automated Building System; cloud computing; energy; retrofit

Indexed keywords

CLOUD COMPUTING; CONSTRUCTION INDUSTRY; DECISION MAKING; DISTRIBUTED COMPUTER SYSTEMS; ENERGY UTILIZATION; INFORMATION MANAGEMENT; RETROFITTING; SOFTWARE AS A SERVICE (SAAS); SUSTAINABLE DEVELOPMENT;

AUTOMATED BUILDINGS; DECISION SUPPORT TOOLS; ENERGY; ENERGY PERFORMANCE; PUBLICLY ACCESSIBLE; RETROFIT; SUSTAINABLE PRODUCTS; TRADITIONAL BUILDINGS;

DECISION SUPPORT SYSTEMS;

EID: 84948394736     PISSN: 18777058     EISSN: 18777058     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2015.08.445     Document Type: Conference Paper

References (12)

1. ASHRAE. ASHRAE handbook: fundamentals. Atlanta, GA: American Society of Heating, Refrigerating, and Air-conditioning Engineers, Inc (2005).
2. N.P. Avdelidis, A. Moropoulou, Applications of infrared thermography for the investigation of historic structures, Journal of Cultural Heritage, 5(1). (2004) 119-127.
3. A. Beloglazov, J. Abawajy, R. Buyya, Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Generation Computer Systems 28(5), (2012) pp. 755-768.
4. Energy Information Agency (EIA), Annual Energy Review 2008. DOE/EIA-0384 (2008), U.S. Department of Energy, June 2009.
5. KMC Controls (2014). Understanding Building Automation and Control Systems < http://www.kmccontrols.com> (July 6, 2014).
6. T. Kuehn, J. Ramsey, J. Threlkeld, Thermal Environmental Engineering (third Ed.). Upper Saddle River, NJ, Prentice hall, Inc. (1998).
7. F. Sandrolini, E. Franzoni, An operative protocol for reliable measurements of moisture in porous materials of ancient buildings, Building and Environment 41, (2006) pp. 1372-1380.
8. Y. Simmhan, S. Aman, A. Kumbhare, R. Liu, S. Stevens, Q. Zhou, V. Prasanna, Cloud-based software platform for data-driven smart grid management. IEEE/AIP Computing in Science and Engineering. (2013) < http://halcyon.usc.edu/∼pk/prasannawebsite/papers/2013/simmhan-cise-2013.pdf > (Aug.25).
9. U.S. Department of Energy. 2010 U.S. DOE buildings energy databook. (2010) < http://buildingsdatabook.eren.doe.gov>, (July 5, 2014).
10. C. Wang, Y. Cho, M. and Gai, As-is 3D Thermal Modeling for Existing Buildings using a Hybrid LIDAR System. ASCE Journal of Computing in Civil Engineering. 27(6), (2013) pp.646-656.
11. X. Xiong, A. Adan, B. Akinci, D. Huber, Automatic creation of semantically rich 3D building models from laser scanner data. Automation in Construction, 31, (2013) pp. 325-337.
12. P. Zhao, S. Suryanarayanan, M. Simões, An energy management system for building structures using a multi-agent decision-making control methodology. Industry Applications, IEEE Transactions on 49(1), (2013) pp.322-330.