Energy conservation and comfort management in building environment

International Journal of Innovative Computing, Information and Control

Volumn 9, Issue 6, 2013, Pages 2229-2244

  Ali, Safdar ^a   Kim, DoHyeun ^a  

^a Jeju National University   (South Korea)

Author keywords

Comfort index; Energy management in buildings; Energy saving; Fuzzy logic; Genetic algorithms; Multi island genetic algorithm

Indexed keywords

AVAILABLE POWER; COMFORT INDEX; COMFORT MANAGEMENT; ENVIRONMENTAL PARAMETER; IN-BUILDINGS; OPTIMAL PARAMETER; REAL ENVIRONMENTS; RESEARCH COMMUNITIES;

ENERGY CONSERVATION; ENERGY UTILIZATION; FUZZY LOGIC; OPTIMIZATION;

GENETIC ALGORITHMS;

EID: 84880079209     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. Z. Wang. R. Yang and L. Wang. Multi-agent control system with intelligent optimization for smart and energy-efficient buildings. Proc. of the 36th Annual Conference of the IEEE Industrial Electronics Society, Phoenix. AZ. USA. pp. 1144-1149. 2010.
2. A. I. Dounis and C. Caraiscos. Advanced control systems engineering for energy and comfort management in a building environment A review. Renewable and Sustainable Energy Reviews, vol. 13. no.6-7. pp.1246-1261. 2009.
3. Z. Wang. R. Yang and L. Wang. Multi-agent intelligent controller designs for smart and sustainable buildings. Proc. of IEEE International Systems Conference, San Diego, pp.277-282. 2010.
4. S. J. Emmerich and A. K. Persily, State-of-the-art review of C02 demand controlled ventilation technology and application. National Institute of Standards and Technology, Technology Administration, Department of Commerce, USA. pp.1-43. 2001.
5. G. J. Lcvermorc. Building Energy Management Systems, An Application to Heating, Natural Ventilation, Lighting and Occupant Satisfaction, E & FN SPON. London. 1992.
6. C. Bernard. B. Guerrier and M. M. Rasset-Louerant, Optimal building energy management. Part II: Control, ASME Journal of Solar Energy Engineering, vol. 114. no.l, pp. 13-22. 1982.
7. P. S. Curtis, G. Shavit and K. Kreider, Neural networks applied to buildings, A Tutorial and Case Studies in Prediction and Adaptive Control, ASHRAE Transactions, vol. 102, no.l, pp.732-737, 1996.
8. D. Kolokotsa, G. S. Stavrakakis, K. Kalaitzakis and D. Agoris, Genetic algorithms optimized fuzzy controller for the indoor environmental management in buildings implemented using PLC and local operating networks, Engineering Application of Artificial Intelligence, vol.15, pp.417-428, 2002.
9. A. Kusiak, M. Li and Z. Zhang, A data-driven approach for steam load prediction in buildings, Applied Energy, vol.87, pp.925-33, 2010.
10. J. Siroky, F. Oldewurtel, J. Cigler and S. Privara, Experimental analysis of model predictive control for an energy efficient building heating system, Applied Energy, vol.88, pp.3079-87, 2011.
11. Z. Wang, L. Wang, A. I. Dounis and R. Yang, Multi-agent control system with information fusion based control model for smart buildings, Applied Energy, http://dx.doi.org.10.1016.j.apenergy. 2012.05.020, 2012.
12. P. M. Bluyssen, M. Aries and P. V. Dommelen, Comfort of workers in office buildings: The European HOPE project, Building and Environment, vol.46, pp.280-288, 2011.
13. C. Marino, A. Nucara and M. Pietrafesa, Proposal of comfort classification indexes suitable for both single environments and whole buildings, Building and Environment, vol.57, pp.58-67, 2012.
14. W. Huang and H. N. Lam, Using genetic algorithms to optimize controller parameters for HVAC systems, Energy and Buildings, vol.26, pp.277-282, 1997.
15. S. Obara and K. Kudo, Multiple-purpose operational planning of fuel cell and heat pump compound system using genetic algorithm, Transaction of the Society of Heating, Air-Conditioning and Sanitary Engineers of Ja,pan, vol.91, pp.65-75, 2003.
16. J. I. Wright, H. A. Loosemore and R. Farmani, Optimization of building thermal design and control by multi-criterion genetic algorithm, Energy and Buildings, vol.34, pp.959-972, 2002.
17. H. Li, R. Nalirni and P. A. Haldi, Thermal-economic optimization of a distributed multi-generation energy system, A Case Study of Beijing: Applied Thermal Engineering, vol.26, pp.709-719, 2006.
18. M. Montazeri-Gh, A. Poursamad and B. Ghalichi, Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicles, Journal of the Franklin Institute, vol.343, pp.420-435,2006.
19. A. Azadeh and S. Tarverdian, Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption, Energy Policy, vol.35, pp.5229-5241, 2007.
20. T. Yu, Modeling occupancy behavior for the energy efficiency and occupants comfort management in intelligent buildings, Proc. of Machine Learning and Applications (ICMLA), Ninth International Conference, pp. 12-14, 2010.
21. M. Li and Q. Ren, Optimization for the chilled water system of HVAC systems in an intelligent building, Proc. of Computational and Information Sciences (ICCIS), International Conference, pp.17-19, 2010.
22. A. Azadeh, S. F. Ghaderi, S. Tarverdian and M. Saberi, Integration of artificial neural networks and genetic algorithm tp predict electrical energy consumption, Applied Mathematics and Computation, vol. 186, pp.1731-1741, 2007.
23. M. Mossolly, K. Ghali and N. Ghaddar, Optimal control strategy for a multi-zone air conditioning system using a genetic algorithm, Energy, vol.34, pp.58-66, 2009.
24. M. Sorrentino, I. Arsie, R. Di-Martino and G. Rizzo, On the use of genetic algorithm to optimize the on-board energy management of a hybrid solar vehicle, Proc. of IFP International Conference Advances in Hybrid Powertrains, 2010.
25. G. Kayo and R. Ooka, Application multi-objective genetic algorithm for optimal design method of distributed energy system, Proc. of the 11th International IBPSA Conference Glasgow, Scotland, 2009.
26. J. H. Holland, Adaptation in Natural and Artificial Systems, The University of Michigan Press, Ann Arbor, MI, USA, 1975.
27. L. A. Zadeh, Fuzzy algorithms, Information and Control, vol.12, pp.94-102, 1968.