Research on evaluation and optimization of sustainable indoor environment of public buildings in Xi’an in summer

References

• Chiang, C. M., and C. M. Lai. 2002. “A Study on the Comprehensive Indicator of Indoor Environment Assessment for Occupants’ Health in Taiwan.” Building and Environment 37: 387–392. doi: 10.1016/S0360-1323(01)00034-8
   Web of Science ®Google Scholar
• China Architecture & Building Press. 2015. Design Standard for Energy Efficiency of Public Buildings. Beijing: China Architecture & Building Press.
   Google Scholar
• Clements-Croome, D. J. 2000. Intelligent buildings for 21st century. Proceedings of International Institute of Refrigeration, Air Conditioning in High Buildings 2000, Shanghai, 49–55
   Google Scholar
• Coello, C. A. C., G. B. Lamont, and D. A. V. Veldhuizen. 2007. Evolutionary Algorithms for Solving Multi Objective Problems. 2nd ed. Springer.
   Google Scholar
• Dalamagkidis, K., D. Kolokotsa, K. Kalaitzakis, and G. S. Stavrakakis. 2007. “Reinforcement Learning for Energy Conservation and Comfort in Buildings.” Building and Environment 42 (7): 2686–2698. doi: 10.1016/j.buildenv.2006.07.010
   Web of Science ®Google Scholar
• Deb, K., S. Agrawal, A. Pratap, et al. 2002. A fast elitist nondominated sorting genetic algorithm for multi-objective optimization: NSGA-II, International Conference on Parallel Problem Solving From Nature. Springer-Verlag, 849-858.
   Google Scholar
• Griego, D., M. Krarti, and A. Hernndez-Guerrero. 2012. “Optimization of Energy Efficiency and Thermal Comfort Measures for Residential Buildings in Salamanca.” Energy and Buildings 54: 540–549. doi: 10.1016/j.enbuild.2012.02.019
   Web of Science ®Google Scholar
• Hurtado, L. A., P. H. Nguyen, and W. L. Kling. 2015. “Smart Grid and Smart Building Inter-Operation Using Agent-Based Particle Swarm Optimization.” Sustainable Energy, Grids and Networks 2 (6): 32–40. doi: 10.1016/j.segan.2015.03.003
   Google Scholar
• Saaty, T. L. 1980. The Analytic Hierarchy Process. New York: McGraw-Hill.
   Google Scholar
• Safdar, A., and K. DoHyeun. 2013. “Energy Conservation and Comfort Management in Building Environment.” Int J Innov Comput Inf Control 9 (6): 2229–2244.
   Google Scholar
• Shaikh, P. H., N. B. M. Nor, P. Nallagownden, and I. Elamvazuthi. 2014a. “Stochastic Optimized Intelligent Controller for Smart Energy Efficient Buildings.” Sustainable Cities and Society 13: 41–45. doi: 10.1016/j.scs.2014.04.005
   Web of Science ®Google Scholar
• Shaikh, P. H., N. B. M. Nor, P. Nallagownden, and I. Elamvazuthi. 2016. “Intelligent Multi-Objective Control and Management for Smart Energy Efficient Buildings.” International Journal of Electrical Power & Energy Systems 74: 403–409. doi: 10.1016/j.ijepes.2015.08.006
   Web of Science ®Google Scholar
• Shaikh, P. H., N. B. M. Nor, P. Nallagownden, I. Elamvazuthi, and T. Ibrahim. 2014b. “A Review on Optimized Control Systems for Building Energy and Comfort Management of Smart Sustainable Buildings.” Renewable and Sustainable Energy Reviews 34 (3): 409–429. doi: 10.1016/j.rser.2014.03.027
   Google Scholar
• Wang, Hanqing. 2007. Ventilating Engineering. China Machine Press.
   Google Scholar
• Wang, Z., L. F. Wang, A. I. Dounis, and R. Yang. 2012. “Multi-agent Control System with Information Fusion Based Comfort Model for Smart Buildings.” Applied Energy 99 (11): 247–254. doi: 10.1016/j.apenergy.2012.05.020
   Google Scholar
• Wang, Z., R. Yang, and L. F. Wang. 2011. Customer-centered control system for intelligent and green building with heuristic optimization. IEEE PES Power Systems Conference and Exposition.
   Google Scholar
• Xu, Z. S. 2001. “Research on Methods for Experts’ Weights in Group Decision Making.” Communication on Applied Mathematics and Computation 15 (1): 19–22.
   Google Scholar
• Yang, R., and L. F. Wang. 2012. “Multi-objective Optimization for Decision-Making of Energy and Comfort Management in Building Automation and Control.” Sustainable Cities and Society 2 (1): 1–7. doi: 10.1016/j.scs.2011.09.001
   Web of Science ®Google Scholar
• Yu, W., B. Z. Li, H. Y. Jia, M. Zhang, and D. Wang. 2015. “Application of Multi–Objective Genetic Algorithm to Optimize Energy Efficiency and Thermal Comfort in Building Design.” Energy and Buildings 88: 135–143. doi: 10.1016/j.enbuild.2014.11.063
   Web of Science ®Google Scholar
• Zhu, Y. X. 2010. Building Environment. 3rd ed. China Architecture & Building Press.
   Google Scholar