Intelligent multi-agent system for building heat distribution control with combined gas boilers and ground source heat pump

Energy and Buildings

Volumn 62, Issue , 2013, Pages 615-626

  Mokhtar, Maizura ^a   Stables, Matthew ^a   Liu, Xiongwei ^b   Howe, Joe ^a  

^a UNIVERSITY OF CENTRAL LANCASHIRE   (United Kingdom)

^b UNIVERSITY OF CUMBRIA   (United Kingdom)

Author keywords

Artificial neural network; Building management system; Intelligent energy management system; Multi agent system

Indexed keywords

BUILDING MANAGEMENT SYSTEM; INTELLIGENT CONTROL STRATEGIES; INTELLIGENT ENERGIES; INTELLIGENT ENERGY MANAGEMENT SYSTEMS; INTELLIGENT MULTI AGENT SYSTEMS; INTELLIGENT MULTI-AGENT; MULTI AGENT SYSTEM (MAS); RENEWABLE ENERGY TECHNOLOGIES;

ENERGY EFFICIENCY; ENERGY MANAGEMENT SYSTEMS; ENERGY RESOURCES; GEOTHERMAL HEAT PUMPS; INTELLIGENT BUILDINGS; MULTI AGENT SYSTEMS; NEURAL NETWORKS;

INTELLIGENT CONTROL;

EID: 84876917233     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2013.03.045     Document Type: Article

References (27)

1. Zero Carbon Britain, http://www.zcb2030.org/ [Online].
2. A. Howe, Dynamic demand could help balance electricity systems, Energy World, Energy Institute, London, November 2009.
3. H. Esen, M. Inalli, A. Sengur, and M. Esen Modelling a ground-coupled heat pump system using adaptive neuro-fuzzy inference systems International Journal of Refrigeration 31 1 2008 65 74
4. H. Esen, M. Inalli, A. Sengur, and M. Esen Artificial neural networks and adaptive neuro-fuzzy assessments for ground-coupled heat pump system Energy and Buildings 40 6 2008 1074 1083
5. H. Esen, and M. Inalli ANN and ANFIS models for performance evaluation of a vertical ground source heat pump system Expert Systems with Applications 37 12 2010 8134 8147
6. M. Mohanraja, S. Jayaraj, and C. Muraleedharan Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems - a review Renewable and Sustainable Energy Reviews 16 2 2012 1340 1358
7. Energy Saving Trust, Getting warmer: a field trial of heat pumps, 2010, http://itsacoastthing.com/pdf/EST-Getting-warmer-a-field-trial-of-heat-pumps- report[1].pdf [Online].
8. N. Bergman, Why is renewable heat undeperforming? A socio-technical perspective, 2011, http://scholar.googleusercontent.com/scholar?q=cache:nY- EoZZqIysJ:scholar.google.com/+why+is+renewable+heat+underperforming&hl= en&as-sdt=0,5 [Online].
9. Energy Saving Trust, Detailed analysis from the first phase of the Energy Saving Trust's heat pump field trial: evidence to support the revision of the MCS Installer Standard, MIS 3005, no 3.1, 2012, http://www.decc.gov.uk/assets/ decc/11/meeting-energy-demand/microgeneration/5045-heat-pump-field-trials.pdf [Online].
10. S. Caird, R. Roy, and S. Potter Domestic heat pumps in the UK: user behaviour, satisfaction and performance Energy Efficiency 5 3 2012 283 301
11. X. Liu, I. Chilvers, M. Mokhtar, A. Bedford, K. Stitt, and J. Yazdani Microgrid development for properties The 2nd European Conference on Innovative Intelligent Grid Technologies (ISGT-EUROPE 2011) 2011
12. Veissmann, Vitocell 300-B DHW cylinder with two indirect coils 300 and 500 litre capacity, http://www.viessmann.co.uk/etc/medialib/internet-uk/ technical-updates.Par.73739.File.File.tmp/Vitocell300BDatasheet.pdf [Online].
13. Veissmann, Vitocal 300G Boiler and Heat Pump Data Sheet, VITOCAL 300/350 Heat pump: Brine/Water - 6.4 to 32.6 kW, Water/Water - 8.4 to 43.0 kW, http://www.viessmann.co.uk/etc/medialib/internet-uk/attachments/ datasheets-technical/heat-pumps.Par.95308.File.File.tmp/Vitocal300350Datasheet. pdf [Online].
14. P. Davidsson, and M. Boman Distributed monitoring and control of office buildings by embedded agents Information Sciences 171 2005 293 307
15. B. Shen, G. Zhang, L. Zhang, and M. Wang Multi-agent system design for room energy saving 2010 5th IEEE Conference on Industrial Electronics and Applications 2010 840 844
16. B. Qiao, K. Liu, and C.G. Guy A multi-agent system for building control Proceedings of IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-6) Hong Kong 2006
17. M. Mokhtar, and X. Liu An ARTMAP-incorporated multi-agent system for building intelligent heat management The 3rd European Conference on Innovative Intelligent Grid Technologies (ISGT-EUROPE 2012) 2012
18. A.I. Dounis, and D.E. Manolakis Design of a fuzzy system for living space thermal comfort regulation Applied Energy 69 2001 119 144
19. 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 13 6-7 2009 1246 1261
20. M. Gouda, S. Danaher, and C. Underwood Thermal comfort based fuzzy logic controller Building Services Engineering Research and Technology 22 4 2001 237 253
21. D. Kolokotsa Comparison of the performance of fuzzy controllers for the management of the indoor environment Building and Environment 38 2003 1439 1450
22. F. Calvino, M.L. Gennusca, G. Rizzo, and G. Scaccianoce The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller Energy and Buildings 36 2004 97 102
23. J. Liang, and R. Du Thermal comfort control based on neural network for HVAC application Proceedings of the 2005 IEEE Conference on Control Applications Toronto, Canada August 2005
24. F. Yamada, K. Yonezawa, S. Sugarawa, and N. Nishimura Development of air-conditioning control algorithm for building energy-saving IEEE International Conference on Control Applications 1999
25. G. Carpenter, S. Grossberg, and J. Reynolds ARTMAP: supervised real-time learning and classification of nonstationary data by a self-organizing neural network Neural Network 4 1991 565 588
26. G. Carpenter, S. Grossberg, N. Markuzon, J. Reynolds, and D. Rosen Fuzzy ARTMAP: A NEURal network architecture for incremental supervised learning of analog multidimensional maps IEEE Transactions on Neural Networks 3 5 1992 698 713
27. Department of Energy& Climate Change, Renewable Heat Incentive (RHI) Scheme, Available: http://www.decc.gov.uk/en/content/cms/meeting-energy/ renewable-ener/incentive/incentive.aspx [Online].