Automated hybrid ventilation control in complex buildings

Congress on Computing in Civil Engineering, Proceedings

Volumn , Issue , 2012, Pages 594-601

  Taylor, N ^a   Menassa, C C ^a   Nelson, J S ^a  

^a University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BUILDING AUTOMATION; COMPLEX BUILDINGS; ENERGY REDUCTION; HYBRID VENTILATION; MULTIPLE REGRESSION ANALYSIS; OPERATIONAL DEMANDS; OPTIMAL CONTROL STRATEGY; OPTIMIZING ENERGY;

CIVIL ENGINEERING; INTELLIGENT BUILDINGS; NEONATAL MONITORING; OPTIMAL CONTROL SYSTEMS; OPTIMIZATION; REGRESSION ANALYSIS; RESEARCH;

VENTILATION;

EID: 84888372755     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/9780784412343.0075     Document Type: Conference Paper

References (5)

1. ASHRAE Standard 55. (2010). "Thermal nvironmental Conditions for uman Occupancy. " EIA, Annual Energy Review 2010, Energy Information Administration, U. S. Department of Energy, Washington DC, DOE/EIA-0384
2. ederspiel, C., Zhang, Q., rens, 2002 " odel-based Benchmarking with pplication to Laboratory Buildings. " nergy and Buildings, 34: 203-214
3. Roth, K., Dieckmann, J., Brodrick, J. 2006 "Natural and ybrid entilation. " ASHRAE Journal, 48(6), H37-H39
4. hort, C. ., Lomas, K. 2007 " xploiting a ybrid nvironmental Design trategy in Continental Climate. " Building esearch & Information, 35, 119-143
5. Taylor N. J., Menassa, C. C. (2012). An Experimental Approach to Optimizing Natural Ventilation in Public Spaces of Complex Buildings. CRC 2012. Purdue University