A comparison of thermal comfort predictive control strategies

Energy and Buildings - Tập 43 - Trang 2737-2746 - 2011
M. Castilla1,2, J.D. Álvarez1,2, M. Berenguel1,2, F. Rodríguez1,2, J.L. Guzmán1,2, M. Pérez3,2
1University of Almería, Dep. Lenguajes y Computación, Spain
2CIESOL, Joint Center University of Almería – CIEMAT, Automatic Control, Electronics and Robotics Research Group, Ctra. Sacramento s/n, 04120 La Cañada (Almería), Spain
3University of Almería, Dep. Física Aplicada, Spain

Tài liệu tham khảo

Kolokotsa, 2000, Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal – visual comfort and indoor air quality satisfaction, Energy and Buildings, 33, 531, 10.1016/S0378-7788(00)00098-0 Yang, 2003, Application of artificial neural network to predict the optimal start time for heating system in building, Energy Conversion and Management, 44, 2791, 10.1016/S0196-8904(03)00044-X Pérez-Lombard, 2008, A review on buildings energy consumption information, Energy and Buildings, 40, 394, 10.1016/j.enbuild.2007.03.007 Morosan, 2010, Building temperature regulation using a distributed model predictive control, Energy and Buildings Nicol, 2002, Adaptive thermal comfort and sustainable thermal standards for buildings, Energy and Buildings, 34, 563, 10.1016/S0378-7788(02)00006-3 A. Hernández, NTP 343: new criteria for future indoor ventilation standards (in Spanish. 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, 1994. K.J. Åström, T. Hägglund, Advanced PID Control, ISA – The Instrumentation, Systems, and Automation Society, Research Triangle Park, NC 27709, 2005. Camacho, 2004 Pasamontes, 2009, Hybrid modeling of a solar cooling system J.A. Ferre, M. Pasamontes, M. Castilla, M.J. Jiménez, M. Pérez, Design, implementation and exploitation of a SCADA system in the CIESOL building of the University of Almería (in Spanish. 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, 2009. ISO7730, 1994, Moderate thermal environment – determination of the PMV and PPD indices and specification of the conditions for thermal comfort, International Organisation for Standardisation ASHRAE55, 1992, Thermal environment conditions for human occupancy, American Society of Heating, Ventilating and Air Conditioning Engineers Fanger, 1973, Assessment of man’s thermal comfort in practice, British Journal of Industrial Medicine, 30, 313 Ashrae, 2005, ASHRAE Handbook – Fundamentals, Refrigerating American Society of Heating and Air-Conditioning Engineers Sherman, 1985, A simplified model of thermal comfort, Energy and Buildings, 8, 37, 10.1016/0378-7788(85)90013-1 de Dear, 2001, The adaptive model of thermal comfort and energy conservation in the built environment, International Journal of Biometeorology, 45, 100, 10.1007/s004840100093 Hoof, 2008, Forty years of Fanger’s model of thermal comfort: comfort for all?, Indoor Air, 18, 182, 10.1111/j.1600-0668.2007.00516.x Orosa, 2009, Research on general thermal comfort models, European Journal of Scientific Research, 2, 217 Wan, 2009, A new method of determination of indoor temperature and relative humidity with consideration of human thermal comfort, Building and Environment, 44, 411, 10.1016/j.buildenv.2008.04.001 IDAE, Regulation of heating in buildings (in Spanish. Reglamento de instalaciones térmicas en los edificios), Technical Report, Ministerio de Industria, Turismo y Comercio de España, 2007. Liang, 2005, Thermal comfort control based on neural network for HVAC application Tse, 2008, A distributed sensor network for measurement of human thermal comfort feelings, Sensors and Actuators A: Physical, 144, 394, 10.1016/j.sna.2008.02.004 Rivera, 2000, An integrated identification and control design methodology for multivariable process systems applications, IEEE Control Systems Magazine, 20, 25, 10.1109/37.845036 Rivera, 2007, Una metodología para la identificación integrada con el diseño de controladores IMC-PID, Revista Iberoamericana de Automática e Informática Industrial, 4, 5, 10.1016/S1697-7912(07)70240-6 Dumur, 1997, Comfort control in residential housing using predictive controllers Oldewurtel, 2010, Energy efficient buildings climate control using stochastic model predictive control and weather predictions Gruber, 2001, Predictive control for heating applications Stauch, 2008, Statistical adaptation of mesoscale numerical weather forecasts for designing predictive control of indoor building climates Steiner, 2008, Numerical weather prediction at meteoswiss Castilla, 2010, Comfort optimization in a solar energy research center Castilla, 2010, Técnicas de control del confort en edificios, Revista Iberoamericana de Automática e Informática Industrial, 7, 5, 10.1016/S1697-7912(10)70038-8 Rivera, 1986, Internal model control. 4. PID controller design, Industrial and Engineering Chemistry Process Design and Development, 25, 252, 10.1021/i200032a041 Salsbury, 2002, A new pulse modulation adaptive controller (PCMA) applied to HVAC systems, Control Engineering Practice, 10, 1357, 10.1016/S0967-0661(02)00099-0