Arcuri, P., Florio, G., & Fragiacomo, P. (2007). A mixed integer programming model for optimal design of trigeneration in a hospital complex. Energy, 32(8), 1430-1447.
Bahrami, S., & Safe, F. (2013). A financial approach to evaluate an optimized combined cooling, heat and power system. Energy and Power Engineering, 5(05), 352.
Cai, W., Wu, Y., Zhong, Y., & Ren, H. (2009). China building energy consumption: situation, challenges and corresponding measures. Energy Policy, 37(6), 2054-2059.
Cao, J. (2009). Evaluation of retrofitting gas-fired cooling and heating systems into BCHP using design optimization. Energy Policy, 37(6), 2368-2374.
Chen, B.-K., & Hong, C.-C. (1996). Optimum operation for a back-pressure cogeneration system under time-of-use rates. Power Systems, IEEE Transactions on, 11(2), 1074-1082.
Črepinšek, M., Liu, S.-H., & Mernik, M. (2013). Exploration and exploitation in evolutionary algorithms: A survey. ACM Computing Surveys (CSUR), 45(3), 35.
Eberhart, R. C., & Kennedy, J. (1995). A new optimizer using particle swarm theory. Paper presented at the Proceedings of the sixth international symposium on micro machine and human science.
Energy Plus (2014). 8.5.0. . 2016, from www.energyplus.net
Ge, Y., Tassou, S., Chaer, I., & Suguartha, N. (2009). Performance evaluation of a tri-generation system with simulation and experiment. Applied Energy, 86(11), 2317-2326.
Geidl, M., & Andersson, G. (2007). Optimal power flow of multiple energy carriers. Power Systems, IEEE Transactions on, 22(1), 145-155.
Ghaebi, H., Saidi, M., & Ahmadi, P. (2012). Exergoeconomic optimization of a trigeneration system for heating, cooling and power production purpose based on TRR method and using evolutionary algorithm. Applied thermal engineering, 36, 113-125.
Gibson, C. A., Meybodi, M. A., & Behnia, M. (2015). How Carbon Pricing Impacts the Selection and Optimization of a Gas Turbine Combined Heat and Power System: An Australian Perspective. Journal of Clean Energy Technologies, 3(1).
International Energy Outlook. (2016). Retrieved 31 August, 2016, from http://www.eia.gov
Iran Energy Efficiency Organization (IEEO-SABA). (2016). Retrieved 31 August, 2016, from http://en.saba.org.ir
Iranian Electricity management. (2016). Retrieved 31 August, 2016, from www.tavanir.org.ir
Iranian Fuel Conservation Organization. (2016). Retrieved 31 August, 2016, from www.ifco.org
Ito, K., Gamou, S., & Yokoyama, R. (1998). Optimal unit sizing of fuel cell cogeneration systems in consideration of performance degradation. International Journal of Energy Research, 22(12), 1075-1089.
Karbassi, A., Abduli, M., & Abdollahzadeh, E. M. (2007). Sustainability of energy production and use in Iran. Energy Policy, 35(10), 5171-5180.
Liu, M., Shi, Y., & Fang, F. (2013). Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach. Applied Energy, 102, 794-802.
Løken, E. (2007). Use of multicriteria decision analysis methods for energy planning problems. Renewable and Sustainable Energy Reviews, 11(7), 1584-1595.
Mago, P., & Chamra, L. (2009). Analysis and optimization of CCHP systems based on energy, economical, and environmental considerations. Energy and Buildings, 41(10), 1099-1106.
MATLAB. (2013). 2013. from http://www.mathworks.com/products/matlab/
Mitchell, M. (1998). An introduction to genetic algorithms: MIT press.
Pérez-Lombard, L., Ortiz, J., & Pout, C. (2008). A review on buildings energy consumption information. Energy and Buildings, 40(3), 394-398.
Piacentino, A., & Cardona, F. (2008). EABOT–energetic analysis as a basis for robust optimization of trigeneration systems by linear programming. Energy Conversion and Management, 49(11), 3006-3016.
Sanaye, S., & Hajabdollahi, H. (2013). 4E analysis and Multi-objective optimization of CCHP using MOPSOA. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 0954408912471001.
Sanaye, S., & Hajabdollahi, H. (2015). Thermo-economic optimization of solar CCHP using both genetic and particle swarm algorithms. Journal of Solar Energy Engineering, 137(1), 011001.
Sanaye, S., & Khakpaay, N. (2014). Simultaneous use of MRM (maximum rectangle method) and optimization methods in determining nominal capacity of gas engines in CCHP (combined cooling, heating and power) systems. Energy, 72, 145-158.
Sanaye, S., Meybodi, M. A., & Shokrollahi, S. (2008). Selecting the prime movers and nominal powers in combined heat and power systems. Applied thermal engineering, 28(10), 1177-1188.
Smith, A., Luck, R., & Mago, P. J. (2010). Analysis of a combined cooling, heating, and power system model under different operating strategies with input and model data uncertainty. Energy and Buildings, 42(11), 2231-2240.
Tichi, S., Ardehali, M., & Nazari, M. (2010). Examination of energy price policies in Iran for optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm. Energy Policy, 38(10), 6240-6250.
Wang, J.-J., Jing, Y.-Y., Zhang, C.-F., & Zhao, J.-H. (2009). Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renewable and Sustainable Energy Reviews, 13(9), 2263-2278.
Wang, J.-J., Xu, Z.-L., Jin, H.-G., Shi, G.-h., Fu, C., & Yang, K. (2014). Design optimization and analysis of a biomass gasification based BCHP system: A case study in Harbin, China. Renewable Energy, 71, 572-583.
Wang, J., Jing, Y., Zhang, C., & Zhang, B. (2008). Distributed combined cooling heating and power system and its development situation in China. Paper presented at the ASME 2008 2nd International Conference on Energy Sustainability collocated with the Heat Transfer, Fluids Engineering, and 3rd Energy Nanotechnology Conferences.
Wang, J., Zhai, Z. J., Jing, Y., & Zhang, C. (2010). Particle swarm optimization for redundant building cooling heating and power system. Applied Energy, 87(12), 3668-3679.
Wang, J., Zhai, Z. J., Jing, Y., Zhang, X., & Zhang, C. (2011). Sensitivity analysis of optimal model on building cooling heating and power system. Applied Energy, 88(12), 5143-5152.
Wang, Q., & Fang, F. (2011). Optimal configuration of CCHP system based on energy, economical, and environmental considerations. Paper presented at the Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on.
Wu, Z., Gu, W., Wang, R., Yuan, X., & Liu, W. (2011). Economic optimal schedule of CHP microgrid system using chance constrained programming and particle swarm optimization. Paper presented at the 2011 IEEE Power and Energy Society General Meeting.
Zheng, C., Wu, J., & Zhai, X. (2014). A novel operation strategy for CCHP systems based on minimum distance. Applied Energy, 128, 325-335.