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Volumn 118, Issue PART 2, 2012, Pages 133-140

Modeling and optimization of HVAC systems using artificial intelligence approaches

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CONTROL; ENERGY UTILIZATION; NEURAL NETWORKS; WELL TESTING;

EID: 84872046239     PISSN: 00012505     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (17)
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    • Ahmed, O.1    Mitchell, J.W.2    Klein, S.3
  • 2
    • 84863422022 scopus 로고    scopus 로고
    • ASHRAE. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, Chapter 42
    • ASHRAE. 2011. ASHRAE Handbook-HVAC Applications. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, Chapter 42
    • (2011) ASHRAE Handbook-HVAC Applications
  • 3
    • 84867835514 scopus 로고    scopus 로고
    • ASHRAE. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, Chapter 19
    • ASHRAE. 2009. ASHRAE Handbook-Fundamentals. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, Chapter 19
    • (2009) ASHRAE Handbook-Fundamentals
  • 4
    • 0003518270 scopus 로고    scopus 로고
    • ASHRAE. Atlanta: American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
    • ASHRAE. 2010. ASHRAE Standard 62-2010, Ventilation for Acceptable Indoor Air Quality. Atlanta: American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
    • (2010) ASHRAE Standard 62-2010, Ventilation for Acceptable Indoor Air Quality
  • 8
    • 38749099824 scopus 로고    scopus 로고
    • Employing Computational Intelligence to Generate More Intelligent and Energy Efficient Living Spaces
    • Hani, H. 2009. Employing Computational Intelligence to Generate More Intelligent and Energy Efficient Living Spaces International Journal of Automation and Computing 05(1): 1-9
    • (2009) International Journal of Automation and Computing , vol.5 , Issue.1 , pp. 1-9
    • Hani, H.1
  • 9
    • 0036459461 scopus 로고    scopus 로고
    • Development and testing of a reformulated regression-based electric chiller model
    • Hydeman, M., N. Webb, P. Sreedharan, and S. Blanc. 2002. Development and Testing of a Reformulated Regression-Based Electric Chiller Model. ASHRAE Transactions 108(2): 1118-1127. (Pubitemid 35475773)
    • (2002) ASHRAE Transactions , vol.108 PART 2 , pp. 1118-1127
    • Hydeman, M.1    Webb, N.2    Sreedharan, P.3    Blanc, S.4
  • 10
    • 0029721827 scopus 로고    scopus 로고
    • Fault Diagnosis of an Air Handling Unit Using Artificial Neural Networks
    • Lee, W.Y., J.M. House, C. Park and G.E. Kelly. 1996. Fault Diagnosis of an Air Handling Unit Using Artificial Neural Networks. ASHARE Transactions 102: 540-549
    • (1996) ASHARE Transactions , vol.102 , pp. 540-549
    • Lee, W.Y.1    House, J.M.2    Park, C.3    Kelly, G.E.4
  • 11
    • 57449101464 scopus 로고    scopus 로고
    • Optimal control strategy for a multi-zone air conditioning system using a genetic algorithm
    • Mossolly, M., K. Ghali and N. Ghaddar. 2009. Optimal control strategy for a multi-zone air conditioning system using a genetic algorithm. Energy, Vol. 34, No. 1 pp. 58-66.
    • (2009) Energy , vol.34 , Issue.1 , pp. 58-66
    • Mossolly, M.1    Ghali, K.2    Ghaddar, N.3
  • 12
    • 21344438127 scopus 로고    scopus 로고
    • Optimization of HVAC Control System Strategy Using Two-Objective Genetic Algorithm
    • Nassif, N., S. Kajl, and R. Sabourin. 2005. Optimization of HVAC Control System Strategy Using Two-Objective Genetic Algorithm. HVAC&R Research 11(3) 459-486.
    • (2005) HVAC&R Research , vol.11 , Issue.3 , pp. 459-486
    • Nassif, N.1    Kajl, S.2    Sabourin, R.3
  • 14
    • 37849186514 scopus 로고    scopus 로고
    • Using intelligent data analysis to detect abnormal energy consumption in buildings
    • DOI 10.1016/j.enbuild.2006.03.033, PII S0378778806001514
    • Seem, J.E. 2007. Using intelligent data analysis to detect abnormal energy consumption in buildings. Energy and Buildings 39: 52-58. (Pubitemid 44827565)
    • (2007) Energy and Buildings , vol.39 , Issue.1 , pp. 52-58
    • Seem, J.E.1
  • 15
    • 0034106064 scopus 로고    scopus 로고
    • Model-based optimal control of VAV air-conditioning system using genetic algorithm
    • DOI 10.1016/S0360-1323(99)00032-3, PII S0360132399000323
    • Wang, S. and X. Jin. 2000. Model-Based Optimal Control of VAV Air-Conditioning System Using Genetic Algorithm. Building and Environment 35: 471-487. (Pubitemid 30306607)
    • (2000) Building and Environment , vol.35 , Issue.6 , pp. 471-487
    • Wang, S.1    Jin, X.2
  • 16
    • 53549109451 scopus 로고    scopus 로고
    • A Model-based Optimal Ventilation Control Strategy of Multi-zone VAV Air-conditioning Systems Using Genetic Algorithm
    • Xu, X.H., S.W. Wang, Z.W. Sun. and F., Xiao. 2009. A Model-based Optimal Ventilation Control Strategy of Multi-zone VAV Air-conditioning Systems Using Genetic Algorithm. Applied Thermal Engineering, V29 (1): 91-104.
    • (2009) Applied Thermal Engineering , vol.V29 , Issue.1 , pp. 91-104
    • Xu, X.H.1    Wang, S.W.2    Sun, Z.W.3    Xiao, F.4
  • 17
    • 0030131443 scopus 로고    scopus 로고
    • Optimization of thermal processes in a variable air volume HVAC system
    • Zheng, G.R. and M. Zaheer-Uddin. 1996. Optimization of thermal processes in a variable air volume HVAC system. Energy 21(5): 407-420. (Pubitemid 126685301)
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    • Zheng, G.R.1    Zaheer-Uddin, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.