References
- Alexander, D., and M. O’Rourke. 2008. Design considerations for active chilled beams. ASHRAE Journal 50(9):50–58.
- Bazjanac, V., and T. Maile. 2004. IFC HVAC interface to EnergyPlus—a case of expanded interoperability for energy simulation. SimBuild 2004, IBPSA-USA National Conference Boulder, CO, August 4–6, pp. 7–8.
- Deb, K. 2001. Multi-Objective Optimization using Evolutionary Algorithms, Chichester, UK: John Wiley & Sons.
- Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan. 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2):182–97.
- D’Souza, R., K. Sekaran, and A. Kandasam. 2010. Improved NSGA-II based on a novel ranking scheme. Journal of Computing 2(2):91–95.
- Federation of European Heating, Ventilation and Air-conditioning Associations (REHVA). 2007. Chilled Beam Application Guidebook. Brussels: REHVA, Federation of European Heating and Air-Conditioning Associations.
- Hamdy, M., A. Hasan, and K. Siren. 2009. Combination of optimization algorithms for a multi-objective building design problem. 11th International Building Performance Simulation Association Conference (IBPSA), Glasgow, UK, July 27–30.
- Kyu-Nam, R., C. Sun-Ho, and K. Changhoon. 2014. Experimental study on the room temperature and condensation control performance of an active chilled beam system. Proceeding of Annual Conference of the Architectural Institute of Korea 22:289–90.
- Lee, S.U. 2004. Reinforcement Plan of Building Energy Efficiency. Seoul, Korea: Korea Institute of Construction, p. 1.
- Livchak, A., and C. Lowell. 2012. Don't turn active beams into expensive diffusers. ASHRAE Journal54(4):52–60.
- Ma, Y., A. Kelman, A. Daly, and F. Borrelli. 2012. Predictive control for energy efficient buildings with thermal storage: Modeling, stimulation, and experiments. Control Systems IEEE 32(1):44–64.
- Nguyen, A., S. Reiter, and P. Rigo. 2013. A review on simulation-based optimization methods applied to building performance analysis. Applied Energy 113:1043–58.
- Široky, J., F. Oldewurtel, J. Cigler, and S. Prívara. 2011. Experimental analysis of model predictive control for an energy efficient building heating system. Applied Energy 88(9):3079–87.
- Wang, W., and R. Zmeureanu. 2005. Applying multi-objective genetic algorithms in green building design optimization. Building and Environment 40:1512–25.
- Žáčeková, E., S. Privara, and Z. Vána. 2011. Model predictive control relevant identification using partial least squares for building modeling. Australian Control Conference, Melbourne, Victoria, November 10–11, 422–7.