Combining performance and implementability of model-based controllers for indoor climate control in office environments

Building and Environment

Volumn 82, Issue , 2014, Pages 228-236

  Gruber, Mattias ^a   Trüschel, Anders ^a   Dalenbäck, Jan Olof ^a  

^a CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

BAS; BFB; CDF; Energy efficiency; FCU; Hydronic heating and cooling; Hygienic ventilation; IAQ; Indoor climate control; MBC; Model based control; Office buildings; PMV; VAV

Indexed keywords

AUTOMATION; BARIUM; CONTROLLERS; ENERGY EFFICIENCY; ENERGY UTILIZATION; HOT WATER HEATING; INTELLIGENT BUILDINGS; OFFICE BUILDINGS; VENTILATION;

BUILDING AUTOMATION SYSTEMS; COMMERCIAL BUILDING; EXPERIMENTAL EVALUATION; INDOOR CLIMATE CONTROL; MODEL BASED CONTROLS; MODEL-BASED CONTROLLER; OFFICE ENVIRONMENTS; PROCESS CHARACTERISTICS;

CLIMATE MODELS;

BUILDING; CONTROL SYSTEM; COOLING; ENERGY EFFICIENCY; HEATING; INDOOR AIR; OFFICE LOCATION; VENTILATION;

PAPAYA MOSAIC VIRUS;

EID: 84907145084     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2014.08.023     Document Type: Article

References (26)

1. Energy efficiency requirements in building codes - energy efficiency policies for new buildings 2008, International Energy Agency.
2. Morosan P.-D., Bourdais R., Dumur D., Buisson J. Building temperature regulation using a distributed model predictive control. Energy Build 2010, 42(9):1445-1452.
3. 2 control and energy saving in buildings. Energy Build 2011, 43(9):2499-2508.
4. Goyal S., Ingley H.A., Barooah P. Occupancy-based zone-climate control for energy-efficient buildings: complexity vs. performance. Appl Energy 2013, 106(0):209-221.
5. Oldewurtel F., Sturzenegger D., Morari M. Importance of occupancy information for building climate control. Appl Energy 2013, 101(0):521-532.
6. Pri´vara S., Siroky´ J., Ferkl L., Cigler J. Model predictive control of a building heating system: the first experience. Energy Build 2010, 43(3):564-572.
7. Hazyuk I., Ghiaus C., Penhouet D. Optimal temperature control of intermittently heated buildings using model predictive control: part I - building modeling. Build Environ 2011, 51(0):379-387.
8. Hazyuk I., Ghiaus C., Penhouet D. Optimal temperature control of intermittently heated buildings using model predictive control: part II - control algorithm. Build Environ 2011, 51(0):388-394.
9. Yu Y., Loftness V., Yu D. Multi-structural fast nonlinear model-based predictive control of a hydronic heating system. Build Environ 2013, 69:131-148.
10. Siroky J., Oldewurtel F., Cigler J., Privara S. Experimental analysis of model predictive control for an energy efficient building heating system. Appl Energy 2011, 88(9):3079-3087.
11. Kolokotsa D., Niachou K., Geros V., Kalaitzakis K., Stavrakakis G.S., Santamouris M. Implementation of an integrated indoor environment and energy management system. Energy Build 2005, 37(1):93-99.
12. Gruber M., Tru¨schel A., Dalenba¨ck J.-O. Model-based controllers for indoor climate control in office buildings - complexity and performance evaluation. Energy Build 2013, 68(Part A):213-222.
13. Maripuu M.-L. Demand controlled ventilation (DCV) in commercial buildings 2009, [Ph.D. thesis], Chalmers University of Technology, Building Services Engineering.
14. SS-EN 12464-1, light and illumination - illumination of workplaces - part 1: indoor workplaces. Stockholm, Sweden: SIS Fo¨rlag AB, pp. 201 [in Swedish].
15. AFS 2009:2 Workplace design 2013, Swedish Work Environment Authority, Stockholm, Sweden, [in Swedish].
16. BBR The Swedish National Board of Housing. Building and Planning 2011, (19). [in Swedish].
17. Ekberg L. R1, VVS Tekniska Fo¨reningen, Kristianstad, Sweden 2006, [in Swedish].
18. ASHRAE, 62.1-2007 Ventilation for acceptable indoor air quality in, Atlanta, USA 2007.
19. Belok Energy requirements for commercial buildings, Go¨teborg, Sweden 2011, [in Swedish].
20. ISO, 7730:2005 Ergonomics of the thermal environment - analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria 2005.
21. ASHRAE, 55-2004 Thermal environmental conditions for human occupancy, Atlanta, USA 2004.
22. EN-15251 Indoor environmental input parameters for design and assessment of energy performance of buildings - addressing indoor air quality, thermal environment, lighting and acoustics 2007, CEN.
23. Fanger P.O. Thermal comfort 1970, McGraw Hill Book Company, New York.
24. Ha¨gglund T. Applied process control 2008, Studentlitteratur, Lund, Sweden, [in Swedish].
25. Gruber M. Demand-based control of indoor climate in office buildings 2012, [Licentiate thesis], Chalmers University of Technology, Building Services Engineering.
26. Blomqvist C., Sandberg M. Air movement through horizontal openings in buildings - a model study 2004, Centre of Built Environment, University of Ga¨vle, Sweden.