Comfort control techniques in buildings;Técnicas de control del confort en edificios

RIAI - Revista Iberoamericana de Automatica e Informatica Industrial

Volumn 7, Issue 3, 2010, Pages 5-24

  Castilla, M ^a   Alvarez J D ^a   Berenguel, M ^a   Perez M ^a   Rodriguez F ^a   Guzman J L ^a  

^a UNIVERSITY OF ALMERÍA   (Spain)

Author keywords

Air quality; Hierarchical control; Thermal comfort; Visual comfort

Indexed keywords

AIR QUALITY; ENERGY UTILIZATION; SOLAR ENERGY; THERMAL COMFORT;

CONFORT; CONTROL TECHNIQUES; DAILY ACTIVITY; ENERGY RESEARCH; HIERARCHICAL CONTROL; HIERARCHICAL CONTROL SYSTEMS; IN-BUILDINGS; VISUAL COMFORT;

QUALITY CONTROL;

EID: 78650387779     PISSN: 16977912     EISSN: 16977920     Source Type: Journal    
DOI: 10.4995/RIAI.2010.03.01     Document Type: Review

References (112)

1. Ahmed, O., J. Mitchel y S. Klein (1996). Application of general regression neural networks (GRNN) in HVAC process identification and control. ASHRAE Transactions 102, 1147.
2. Akyildiz, I.F., W. Su y E. Cayirci Y. Sankarasubramaniam (2002). Wireless sensor networks: a survey. Computer Networks 38, 393-422.
3. Ashrae (2005). ASHRAE Handbook - Fundamentals. Refrigerating American Society of Heating and Air-Conditioning Engineers.
4. ASHRAE55 (1992). Thermal environment conditions for human occupancy. American Society of Heating, Ventilating and Air Conditioning Engineers.
5. Atthajariyakul, S. y T. Leephakpreeda (2004). Real-time determination of optimal indoor-air condition for thermal comfort, air quality and efficient energy usage. Energy and Buildings 36, 720-733.
6. Atthajariyakul, S. y T. Leephakpreeda (2005). Neural computing thermal comfort index for hvac systems. Energy Conversion and Management 46, 2553-2565.
7. Awbi, H. (2003). Ventilation of Buildings. Spon Press.
8. Berenguer, M.J. & F. Bernal (1994). Ntp 549: El dióxido de carbono en la evaluación de la calidad de aire interior. Instituto Nacional de Seguridad e Higiene en el Trabajo. Ministerio de Trabajo y Asuntos Sociales España.
9. Bernard, T. y B. Kuntze (1999). Multi-objective optimization of building climate control systems using fuzzy-logic. In: European Control Conference, Karlsruhe, Germany.
10. Bourgeois, D. (2005). Detailed occupancy prediction, occupancy-sensing control and advanced behavioural modelling within whole-building energy simulation. PhD thesis. Université Laval, Quebec, Canada.
11. Braun, J.E. (2007). Intelligent building systems - past, present and future. In: Proceedings of the 2007 American Control Conference. New York, USA.
12. Calvino, F., M. La Gennusa, G. Rizzo y G. Scaccianoce (2004). The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller. Energy and Buildings 36, 97-102.
13. Camacho, E.F. y C. Bordons (2004). Control predictivo: Pasado, presente y futuro. Revista Iberoamericana de Automática e Informática Industrial 1(3), 5-28.
14. Castilla, M., J.D. Álvarez, M. Berenguel, M. Pérez, J.L. Guzmán, F. Rodríguez, J.A. Ferre y M. Pasamontes (2010a). Análisis de parámetros de confort térmico en el cddi ciesol del proyecto arfrisol. In: I Congreso sobre Arquitectura Bioclimática y Frío Solar (PSE-ARFRISOL), Roquetas de Mar, Almería, España.
15. Castilla, M., J.D. Álvarez, M. Berenguel, M. Pérez, J.L. Guzmán y F. Rodríguez (2009). Análisis de confort térmico y consignas para control en el edificio bioclimático ciesol. In: XXX Jornadas de Automática, Valladolid, España.
16. Castilla, M., J.D. Álvarez, M. Berenguel, M. Pérez, J.L. Guzmán y F. Rodríguez (2010b). Comfort optimization in a solar energy research center. In: Proceedings of the IFAC Conference on Control Methodologies and Technology for Energy Efficiency.
17. Conceicao, E., J. Farinho y M. Lúcio (2010). Human thermophysiologic sensation control based in the adaptive comfort philosophy. In: Proceedings of the IFAC Conference on Control Methodologies and Technology for Energy Efficiency.
18. Congradac, V. y F. Kulic (2009). Hvac system optimization with co2 concentration control using genetic algorithms. Energy and Buildings 41, 571-577.
19. Cziker, A., M. Chindris y A. Miron (2007). Implementation of fuzzy logic in daylighting control. In: IEEE International Conference on Fuzzy Systems. London, UK.
20. de Dear, R. y G.S. Brager (2001). The adaptive model of thermal comfort and energy conservation in the built environment. International Journal of Biometeorology 45, 100-108.
21. Donaisky, E., G.H. Oliveira, R.Z. Freire y N. Mendes (2007). Pmv-based predictive algorithms for controlling thermal comfort in building plants. In: 16th IEEE International Conference on Control Applications, Singapore.
22. Dounis, A.I., M.J. Santamouris, C.C. Lefas y A. Argiriou (1995). Design of a fuzzy set environment comfort system. Energy and Buildings 22, 81-87.
23. Dounis, A.I., M.J. Santamouris y C.C. Lefas (1993). Building visual comfort control with fuzzy reasoning. Energy Conversion and Management 1, 17-28.
24. Dounis, A.I. y C. Caraiscos (2007). Intelligent coordinator of fuzzy controller-agents for indoor environment control in building using 3-d fuzzy comfort set. In: IEEE International Conference on fuzzy systems, London, England.
25. Dounis, A.I. y C. Caraiscos (2009). Advanced control systems engineering for energy and comfort management in a building environment - a review. Renewable and Sustainable Energy Reviews 13, 1246-1261.
26. Dumur, D., P. Boucher, K.M. Murphy y F. Déqué (1997). Comfort control in residential housing using predictive controllers. In: Proceedings of the 1997 IEEE International Conference on Control Applications, Hartford, Connecticut, U.S.A.
27. Erickson, V.L., Y. Lin, A. Kamthe, R. Brahme, A. Surana, A.E. Cerpa, M. Sohn y S. Narayanan (2009). Energy efficient building environment. In: Proceedings of the 1st ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings. Berkeley, CA, USA.
28. Fanger, P.O. (1972). Thermal Comfort Analysis and Applications in Environment Engineering. McGraw Hill.
29. Fanger, P.O. (1973). Assessment of man's thermal comfort in practice. British Journal of Industrial Medicine 30, 313-324.
30. Federspiel, C.C. y H. Asada (1994). User-adaptable comfort control for hvac systems. Transactions of the ASME 116, 474-486.
31. Ferre, J.A., M. Pasamontes, M. Castilla, M. Berenguel, M.J. Jiménez, D. Bravo y M. Pérez (2010). Desarrollo de un sistema de monitorización y control para edificios bioclimáticos en el marco del proyecto arfrisol. In: I Congreso sobre Arquitectura Bioclimática y Frío Solar (PSE-ARFRISOL), Roquetas de Mar, Almería, España.
32. Ferre, J.A., M. Pasamontes, M. Castilla, M.J. Jiménez y M. Pérez (2009). Diseño, implementación y explotación de un sistema de adquisición de datos en el edificio bioclimático ciesol en la Universidad de Almería. In: XXX Jornadas de Automática, Valladolid, España.
33. Flórez, J. (1985). Temperature prediction models and their application to the control of heating systems. PhD thesis. Control Systems Centre, UMIST, UK.
34. Flórez, J. y G.C. Barney (1987a). Adaptive control of central heating systems: Part 1: Optimim start time control. Applied Mathematical Modelling 11, 89-95.
35. Flórez, J. y G.C. Barney (1987b). Adaptive control of central heating systems: Part 2: Occupance time control. Applied Mathematical Modelling 11, 96-103.
36. Freire, R.Z., G.H.C. Olveira y N. Mendes (2006). Thermal comfort based predictive controllers for building heating systems. In: IFAC Workshop on Energy Saving Control in Plants and Buildings, Bansko, Bulgaria.
37. Freire, R.Z., G.H.C. Oliveira y N. Mendes (2008). Predictive controllers for thermal comfort optimization and energy savings. Energy and Buildings 40, 1353-1365.
38. Gouda, M.M., S. Danaher y C.P. Underwood (2001). Thermal comfort based fuzzy logic controller. Building services engineering research and technology 22(4), 237-253.
39. Gruber, P., M. Gwerder y J. Tödtli (2001). Predictive control for heating applications. In: 7th REHVA World Congress (Clima 2000/Napoli 2001). Napoly, Italy.
40. Guasch, J., R. Forster, F. Ramos, A. Hernández y N.A. Smith (2001). Enciclopedia de salud y seguridad en el trabajo: Iluminación. Organización Internacional del Trabajo. Ministerio de Trabajo y Asuntos Sociales.
41. Guo, W. y M. Zhou (2009). Technologies toward thermal comfort-based and energy-efficient hvac systems: a review. Proceedings of the 2009 IEEE Conference on Systems, Man, and Cybernetics, San Antonio, TX, USA. pp. 3883-3888.
42. Gwerder, M., D. Gyalistras, F. Oldewurtel, B. Lehmann, K. Wirth, V. Stauch y J. Tödtli (2010). Potential assessment of rule-based control for integrated room automation. In: 10th REHVA World Congress, Sustainable Energy Use in Buildings-CLIMA 2010. Antalya, Turkey.
43. Gyalistras, D., M. Gwerder, F. Oldewurtel, C.N. Jones, M. Morari, B. Lehmann, K. Wirth y V. Stauch (2010). Analysis of energy savings potentials for integrated room automation. In: 10th REHVA World Congress, Sustainable Energy Use in Buildings-CLIMA 2010. Antalya, Turkey.
44. Henze, G.P. y R.E. Hindman (2002). Control of air-cooled chiller condenser fans using clustering neural networks. ASHRAE Transactions 108, 4574.
45. Hernández, A. (1994a). NTP 343: Nuevos criterios para futuros estándares de ventilación de interiores. Instituto Nacional de Seguridad e Higiene en el Trabajo. Ministerio de Trabajo y Asuntos Sociales España.
46. Hernández, A. (1994b). NTP 742: Ventilación general de edificios. Instituto Nacional de Seguridad e Higiene en el Trabajo. Ministerio de Trabajo y Asuntos Sociales España.
47. Hoof, J. (2008). Forty years of fanger's model of thermal comfort: comfort for all?. Indoor Air 18, 182-201.
48. Huang, Y. y L. Nianping (2006). Indoor thermal comfort control research based on adaptive fuzzy strategy. In: IMACS Multiconference on "Computational Engineering in Systems Applications", Beijing, China.
49. IDAE (2007). Reglamento de instalaciones térmicas en los edificios. Technical Report. Ministerio de Industria, Turismo y Comercio de España.
50. rd Conference on Passive and Low Energy Architecture, Geneva, Switzerland.
51. ISO7730 (1994). Moderate thermal environment.- Determination of the PMV and PPD indices and specification of the conditions for thermal comfort. International Organisation for Standardisation.
52. Kalogirou, S.A. y M. Bojic (2000). Artificial neural networks for the prediction of the energy consumption of a passive solar building. Energy 25, 479-491.
53. Kang, D.H., P.H. Mo, D.H. Choi, S.Y. Song y M.S. Yeo (2010). Effect of mrt variation on the energy consumption in a pmvcontrolled office. Building and Environment 45, 1914-1922.
54. Keyser, R. y C. Ionescu (2010). Modelling and simulation of a lighting control system. Simulation Modelling Practice and Theory 18, 165-176.
55. Kim, J.T. y G. Kim (2010). Overview and new developments in optical daylighting systems for building a healthy indoor environment. Building and Environment 45, 256-269.
56. Koçlar, G., A. Köknel y N. Tamer (2004). Building envelope design with the objective to ensure thermal, visual and acoustic comfort conditions. Building and Environment 39, 281-287.
57. Kolokotsa, D., A. Pouliezos, G. Stavrakakis y C. Lazos (2009). Predictive control techniques for energy and indoor environmental quality management in buildings. Building and Environment 44, 1850-1863.
58. Kolokotsa, D., D. Tsiavos, G.S. Stavrakakis, K. Kalaitzakis y E. Antonidakis (2000). Advanced fuzzy logic controllers design and evaluation for buildings'occupants thermal - visual comfort and indoor air quality satisfaction. Energy and Buildings 33, 531-543.
59. Kummer, M., P. André y J. Nicolas (1996). Development of simplified models for solar buildings optimal control. In: EuroSun'96, Freiburg, Germany.
60. Lee, H., J.S. Choi y R. Elmasri (2008). A conflict resolution architecture for the comfort of occupants in intelligent office. In: 4th IET International Conference on Intelligent Environments. Seatle, USA.
61. Leephakpreeda, T., R. Thitipatanapong, T. Grittiyachot y V. Yungchareon (2001). Occupancy-based control of indoor air ventilation: A theoretical and experimental study. Science Asia 27, 279-284.
62. Liang, J. y R. Du (2005). Thermal comfort control based on neural network for hvac application. In: Proceedings of the 2005 IEEE Conference on Control Applications, Toronto, Canada.
63. Liang, J. y R. Du (2008). Design of intelligent comfort control system with human learning and minimum power control strategies. Energy conversion and management 49, 517-528.
64. Liu, W., Z. Lian y B. Zhao (2007). A neural network evaluation model for individual thermal comfort. Energy and Buildings 39, 1115-1122.
65. Ma, Y., F. Borrelli, B. Hencey, A. Packard y S. Bortoff (2009). Model predictive control of thermal energy storage in building cooling systems. In: 48th IEEE Conference on Decision and Control, Shanghai, China.
66. Ma, Y., F. Borrelli, B. Hencey, B. Coffey, S. Bengea, A. Packard, M. Wetter y P. Haves (2010). Model predictive control for the operation of building cooling systems. In: 2010 American Control Conference - ACC2010, Baltimore, Maryland, USA.
67. Magnier, L. y F. Haghighat (2010). Multiobjective optimization of building design using trnsys simulations, genetic algorithm and artificial neural networks. Building and Environment 45, 739-746.
68. Markov, D. (2002). Practical evaluation of the thermal comfort parameters. Annual International Course: Ventilation and Indoor climate, Avangard, Sofia. pp. 158-170.
69. Martín, L., F. Rodríguez, J.L. Guzmán y M. Berenguel (2007). Sistema automático de predicción climática. aplicación al control óptimo de crecimiento de cultivos bajo invernadero. In: IV Congreso Nacional y I Congreso Ibérico de Agroingeniería, Albacete, España.
70. Menchinelli, P. y A. Bemporad (2008). Hybrid model predictive control of a solar air conditioning plant. European Journal of Control 6, 501-515.
71. Mendes, N., G.H.C. Oliveira y H.X. Araújo (2001). Building thermal performance analysis by using matlab/simulink. In: 7th International IBPSA Conference. Rio de Janeiro, Brazil.
72. Morosan, P.D., R. Bourdais, D. Dumur y J. Buisson (2010). Building temperature regulation using a distributed model predictive control. Energy and Buildings 42, doi:10.1016/j.enbuild.2010.03.014.
73. Mozer, M.C., L. Vidmar y R.H. Dodier (1997). The neurothermostat: Predictive optimal control of residential heating systems. In: In M. C. Mozer, M. I. Jordan, and T. Petsche (Eds.), Advances in Neural Information Processing Systems 9. MIT Press, Cambridge, Massachusets.
74. Nassif, N., S. Kajl y R. Sabourin (2003). Two-objective online optimization of supervisory control strategy. Vol. 1. Proceedings of the 8th building simulation conference, Eindhoven, Netherlands. pp. 927-943.
75. Nicol, F. y M. Humphreys (2002). Adaptive thermal comfort and sustainable thermal standards for buildings. Energy and Buildings 34, 563-572.
76. of Light and Lighting, Society (2002). Code for Lighting. Butterworth-Heinemann.
77. Oldewurtel, F., A. Parisio, C.N. Jones, M. Morari, D. Gyalistras, M. Gwerder, V. Stauch, B. Lehmann y K. Wirth (2010a). Energy efficient buildings climate control using stochastic model predictive control and weather predictions. In: 2010 American Control Conference (ACC2010). Baltimore, Maryland, USA.
78. th IEEE Conference on Decision and Control. Cancun, Mexico.
79. Oldewurtel, F., D. Gyalistras, M. Gwerder, C.N. Jones, A. Parisio, V. Stauch, B. Lehmann y M. Morari (2010b). Increasing energy efficiency in buildings climate control using weather forecasats and model predictive control. In: 10th REHVA World Congress, Sustainable Energy Use in Buildings- CLIMA 2010. Antalya, Turkey.
80. th ASME-JSME thermal engineering joint conference, Hawaii, USA. Vol. 1. pp. 1-6.
81. Orosa, J.A. (2009). Research on general thermal comfort models. European Journal of Scientific Research 2, 217-227.
82. Page, J., D. Robinson, N. Morel y J.L. Scartezzini (2008). A generalised stochastic model for the simulation of occupant presence. Energy and Buildings 40, 83-98.
83. Pasamontes, M., J.D. Álvarez, J.L. Guzmán y M. Berenguel (2009). Hybrid modeling of a solar cooling system. In: IFAC International Conference on Analysis and Design of Hybrid System, ADHS09. Zaragoza, Spain.
84. Pasamontes, M., J.L. Guzmán, F. Rodríguez, M. Berenguel y E.F. Camacho (2007a). Modelo híbrido de una planta de frío solar. In: Congreso Internacional de Aislamiento Térmico y Acústico - CIATEA, Oviedo, España.
85. Pasamontes, M., M.J. Jiménez, J.L. Guzmán, R. Olmedo, M. Pérez, J.A. Ferrer, C. San Juan, S. Rosiek, F. Rodríguez, M. Berenguel, J. Batlles y R. Heras (2007b). Monitorización del edificio ciesol de la universidad de almería. In: Congreso Internacional de Aislamiento Térmico y Acústico - CIATEA, Oviedo, España.
86. Pawlowski, A., J.L. Guzmán, F. Rodríguez, M. Berenguel y J. Sánchez (2010). Application of time-series methods to disturbance estimation in predictive control problems. In: ISIE10 - IEEE International Symposium on Industrial Electronics. Bari, Italy.
87. Pérez-Lombard, L., J. Ortiz y C. Pout (2008). A review on buildings energy consumption information. Energy and Buildings 40, 394-398.
88. Rivera, D.E. (2007). Una metodología para la identificación integrada con el diseño de controladores imc-pid. Revista Iberoamericana de Automática e Informática Industrial 4(4), 5-18.
89. Rivera, E. D., M. Morari y S. Skogestad (1986). Internal model control. 4. pid controller design. Industrial and Engineering Chemistry Process Design and Development 25, 252-265.
90. Rodríguez, M., C. De Prada, F. Capraro y S. Cristea (2008). Logic embedded nmpc of a solar air conditioning plant. European Journal of Control 6, 484-500.
91. Ruano, A.E., P.M. Ferreira y H. Mendes (2010). Moga design of temperature and relative humidity models for predictive thermal comfort. In: IFAC Conference on Control Methodologies and Technology for Energy Efficiency. Villamoura, Portugal.
92. Sherman, M. (1985). A simplified model of thermal comfort. Energy and Buildings 8, 37-50.
93. Siroky, J., S. Privara y L. Ferkl (2010). Model predictive control of building heating systems. Clima 2010 - 10th RehvaWorld Congress Sustainable energy use in buildings, Antalya, Turquia.
94. Sonntag, C., H. Ding y S. Engell (2008). Supervisory control of a solar air conditioning plant with hybrid dynamics. European Journal of Control 6, 451-463.
95. Stauch, V., M. Gwerder, D. Gyalistras y F. Schubiger (2008). Statistical adaptation of mesoscale numerical weather forecastsfor designing predictive control of indoor building climates. In: Proceedings of the 8th Annual Meeting of the EMS and 7th European Conference on Applied Climatology. Amsterdam, The Netherlands.
96. Steiner, P., V. Stauch, M. Gwerder, D. Gyalistras, B. Lehmann, M. Morari y F. Schubiger (2008). Numerical weather prediction at meteoswiss. In: Proceedings of the 30th meeting of the European Working Group on Limited Area Modelling (EWGLAM) and 15th meeting of the Short Range Numerical Weather Prediction network (SRNWP). Madrid, Spain.
97. Torres, J.L. y M.L. Martín (2008). Modelo higrotérmico de una oficina para estudios de confort con climatización forzada. In: XXI Congreso Argentino de Control Automático. Buenos Aires, Argentina.
98. Trobec, M., B. Zupancic y A. Krainer (2005). Fuzzy control for the illumination and temperature comfort in a test chamber. Building and Environment 40, 1626-1637.
99. Tse, W.L. y W.L. Chan (2007). Real-time measurement of thermal comfort by using an open networking technology. Measurement 40, 654-664.
100. Tse, W.L. y W.L. Chan (2008). A distributed sensor network for measurement of human thermal comfort feelings. Sensors and Actuators A: Physical 144, 394-402.
101. UNE-EN12464-1 (2003). Iluminación. Iluminación de los lugares de trabajo. Parte 1: Lugares de trabajo en interiores. Asociación Española de Normalización y Certificación (AENOR).
102. UNE-EN12464-2 (2008). Iluminación. Iluminación de lugares de trabajo. Parte 2: Lugares de trabajo exteriores. Asociación Española de Normalización y Certificación (AENOR).
103. Wan, J.W., K. Yang, W.J. Zhang y J.L. Zhang (2009). A new method of determination of indoor temperature and relative humidity with consideration of human thermal comfort. Building and Environment 44, 411-417.
104. Wang, D., C.C. Federspiel y F. Rubinstein (2005). Modeling occupancy in single person offices. Energy and Buildings 37, 121-126.
105. Wang, S., Z. Xu, H. Li y W. Shi (2004). Investigation on intelligent building standard communication protocols and application of IT technologies. Automation in construction 13, 607-619.
106. Yang, I.H., M.S. Yeo y K.W. Kim (2003). Application of artificial neural network to predict the optimal start time for heating system in building. Energy Conversion and Management 44, 2791-2809.
107. Yener, A.K. (1999). A method of obtaining visual comfort using fixed shading devices in rooms. Building and Environment 34, 285-291.
108. Yu, Z. y A. Dexter (2007). Hierarchical fuzzy rule-based control of renewable energy building systems. In: CISBAT 2007 Renewables in a Changing Climate: Innovation in the Built Environment. Lausanne, Switzerland.
109. Zambrano, D., C. Bordons, E. Camacho y W. García-Gabin (2008). Model development and validation of a solar cooling plant. International Journal of Refrigeration 31(2), 315-327.
110. Zambrano, D., C. Bordons y W. García-Gabin and E. Camacho (2006a). Hybrid modeling of a solar air conditioning plant.
111. Zambrano, D., C. Bordons y W. García-Gabin and E. Camacho (2006b). A solar cooling plant: a benchmark for hybrid systems control.
112. Zambrano, D. y W. García-Gabin (2008). Hierarquical control of a hybrid solar air conditioning plant. European Journal of Control 6, 464-483.