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Volumn , Issue , 2010, Pages 756-761

Indoor air quality control of HVAC system

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL ALGORITHMS; CONTROL STRATEGIES; DEMAND-CONTROLLED VENTILATION; DYNAMIC CHARACTERISTICS; HVAC SYSTEM; INDOOR AIR QUALITY; INDOOR ENVIRONMENT; LEAST ENERGY; MONITORING AND CONTROL; SOFT REAL TIME; VENTILATION RATE; VENTILATION SYSTEMS;

EID: 77957833435     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (12)
  • 2
    • 57449101464 scopus 로고    scopus 로고
    • Optimal control strategy for a multi-zone air conditioning system using a genetic algorithm
    • Mossolly M, Ghali K, Ghaddar N. Optimal control strategy for a multi-zone air conditioning system using a genetic algorithm. Energy 2009;vol. 34(No. 1):58-66.
    • (2009) Energy , vol.34 , Issue.1 , pp. 58-66
    • Mossolly, M.1    Ghali, K.2    Ghaddar, N.3
  • 3
    • 33745845837 scopus 로고    scopus 로고
    • An innovative approach for demand side management-optimal chiller loading by simulated annealing
    • Chang YC. An innovative approach for demand side management-optimal chiller loading by simulated annealing. Energy 2006, vol. 31(No. 12):1883-96.
    • (2006) Energy , vol.31 , Issue.12 , pp. 1883-1896
    • Chang, Y.C.1
  • 4
    • 0032305454 scopus 로고    scopus 로고
    • Sensor-based demand-controlled ventilation: A review
    • William J. Fisk a, Anibal T. De Almeida b "Sensor-based demand-controlled ventilation: a review" Energy and Buildings 29 (1998) 35-45.
    • (1998) Energy and Buildings , vol.29 , pp. 35-45
    • Fisk, W.J.1    De Almeida, A.T.2
  • 5
    • 0025750428 scopus 로고
    • Demand controlled ventilation by room carbon dioxide concentration: A comparison simulated energy savings in an auditorium space
    • Warren BF, Harper NC. Demand controlled ventilation by room carbon dioxide concentration: a comparison simulated energy savings in an auditorium space. Energy Building 1991;17:87-96.
    • (1991) Energy Building , vol.17 , pp. 87-96
    • Warren, B.F.1    Harper, N.C.2
  • 7
    • 2142791066 scopus 로고
    • Second generation demand-controlled ventilation
    • ASHRAE
    • Bearg DW. Second generation demand-controlled ventilation. IAQ '94, ASHRAE, 1994.
    • (1994) IAQ '94
    • Bearg, D.W.1
  • 8
    • 77949542289 scopus 로고    scopus 로고
    • Optimal decision making in ventilation control
    • Andrew Kusiak and Mingyang Li "Optimal decision making in ventilation control ", Journal of Energy and Building Vol. 34, 2009, pp. 1835-1845.
    • (2009) Journal of Energy and Building , vol.34 , pp. 1835-1845
    • Kusiak, A.1    Li, M.2
  • 9
    • 0003842304 scopus 로고    scopus 로고
    • American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, GA : ASHRAE
    • American Society of Heating, Refrigerating and Air-Conditioning Engineers " 1997 ASHRAE handbook Fundamentals" Atlanta, GA : ASHRAE, 1997.
    • (1997) 1997 ASHRAE Handbook Fundamentals
  • 10
    • 7944221563 scopus 로고    scopus 로고
    • State-of-the-art review of CO2 demand controlled ventilation technology and application
    • March
    • Steven J. Emmerich and Andrew K. Persily "State-of-the-Art Review of CO2 Demand Controlled Ventilation Technology and Application", NISTIR 6729, March 2001.
    • (2001) NISTIR , vol.6729
    • Emmerich, S.J.1    Persily, A.K.2
  • 11
    • 77649193488 scopus 로고    scopus 로고
    • Adaptive HVAC zone modeling for sustainable buildings
    • April
    • Glenn Platt, Jiaming Li, Rongxin Li, Geoff Poulton, Geoff James and Josh Wall, "Adaptive HVAC Zone Modeling for Sustainable Buildings", Journal of Energy and Buildings, Vol.42, Issue 4, April 2010, pp.412-421.
    • (2010) Journal of Energy and Buildings , vol.42 , Issue.4 , pp. 412-421
    • Platt, G.1    Li, J.2    Li, R.3    Poulton, G.4    James, G.5    Wall, J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.